import copy import logging import pathlib import rapidjson import numpy as np import talib.abstract as ta import pandas as pd import pandas_ta as pta from freqtrade.strategy.interface import IStrategy from freqtrade.strategy import merge_informative_pair from pandas import DataFrame, Series from functools import reduce from freqtrade.persistence import Trade from datetime import datetime, timedelta import time from typing import Optional import warnings log = logging.getLogger(__name__) # log.setLevel(logging.DEBUG) warnings.simplefilter(action="ignore", category=pd.errors.PerformanceWarning) ############################################################################################################# ## NostalgiaForInfinityX6 by iterativ ## ## https://github.com/iterativv/NostalgiaForInfinity ## ## ## ## Strategy for Freqtrade https://github.com/freqtrade/freqtrade ## ## ## ############################################################################################################# ## GENERAL RECOMMENDATIONS ## ## ## ## For optimal performance, suggested to use between 6 and 12 open trades, with unlimited stake. ## ## A pairlist with 40 to 80 pairs. Volume pairlist works well. ## ## Prefer stable coin (USDT, BUSDT etc) pairs, instead of BTC or ETH pairs. ## ## Highly recommended to blacklist leveraged tokens (*BULL, *BEAR, *UP, *DOWN etc). ## ## Ensure that you don't override any variables in you config.json. Especially ## ## the timeframe (must be 5m). ## ## use_exit_signal must set to true (or not set at all). ## ## exit_profit_only must set to false (or not set at all). ## ## ignore_roi_if_entry_signal must set to true (or not set at all). ## ## ## ############################################################################################################# ## DONATIONS ## ## ## ## BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk ## ## ETH (ERC20): 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91 ## ## BEP20/BSC (USDT, ETH, BNB, ...): 0x86A0B21a20b39d16424B7c8003E4A7e12d78ABEe ## ## TRC20/TRON (USDT, TRON, ...): TTAa9MX6zMLXNgWMhg7tkNormVHWCoq8Xk ## ## ## ## Patreon: https://www.patreon.com/iterativ ## ## ## ## REFERRAL LINKS ## ## ## ## Binance: https://accounts.binance.com/en/register?ref=C68K26A9 (20% discount on trading fees) ## ## Kucoin: https://www.kucoin.com/r/af/QBSSS5J2 (20% lifetime discount on trading fees) ## ## Gate.io: https://www.gate.io/share/nfinfinity (20% lifetime discount on trading fees) ## ## OKX: https://www.okx.com/join/11749725931 (20% discount on trading fees) ## ## MEXC: https://www.mexc.com/register?inviteCode=mexc-1b888 (10% discount on trading fees) ## ## ByBit: https://partner.bybit.com/b/nfi ## ## Bitget: https://bonus.bitget.com/nfi (lifetime 20% rebate all & 10% discount on spot fees) ## ## BitMart: https://www.bitmart.com/invite/nfinfinity/en-US (20% lifetime discount on trading fees) ## ## HTX: https://www.htx.com/invite/en-us/1f?invite_code=ubpt2223 ## ## (Welcome Bonus worth 241 USDT upon completion of a deposit and trade) ## ## Bitvavo: https://bitvavo.com/invite?a=D22103A4BC (no fees for the first € 10000) ## ############################################################################################################# class NostalgiaForInfinityX6(IStrategy): INTERFACE_VERSION = 3 def version(self) -> str: return "v16.3.81" stoploss = -0.99 # Trailing stoploss (not used) trailing_stop = False trailing_only_offset_is_reached = True trailing_stop_positive = 0.01 trailing_stop_positive_offset = 0.03 use_custom_stoploss = False # Optimal timeframe for the strategy. timeframe = "5m" info_timeframes = ["15m", "1h", "4h", "1d"] # BTC informatives btc_info_timeframes = ["5m", "15m", "1h", "4h", "1d"] # Backtest Age Filter emulation has_bt_agefilter = False bt_min_age_days = 3 # Exchange Downtime protection has_downtime_protection = False # Do you want to use the hold feature? (with hold-trades.json) hold_support_enabled = True # Run "populate_indicators()" only for new candle. process_only_new_candles = True # These values can be overridden in the "ask_strategy" section in the config. use_exit_signal = True exit_profit_only = False ignore_roi_if_entry_signal = True # Number of candles the strategy requires before producing valid signals startup_candle_count: int = 800 # Number of cores to use for pandas_ta indicators calculations num_cores_indicators_calc = 0 # Long Normal mode tags long_normal_mode_tags = ["1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13"] # Long Pump mode tags long_pump_mode_tags = ["21", "22", "23", "24", "25", "26"] # Long Quick mode tags long_quick_mode_tags = ["41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53"] # Long rebuy mode tags long_rebuy_mode_tags = ["61", "62"] # Long high profit mode tags long_mode_tags = ["81", "82"] # Long rapid mode tags long_rapid_mode_tags = ["101", "102", "103", "104", "105", "106", "107", "108", "109", "110"] # Long grind mode tags long_grind_mode_tags = ["120"] # Long top coins mode tags long_top_coins_mode_tags = ["141", "142", "143", "144"] # Long derisk mode tags long_derisk_mode_tags = ["161"] long_normal_mode_name = "long_normal" long_pump_mode_name = "long_pump" long_quick_mode_name = "long_quick" long_rebuy_mode_name = "long_rebuy" long_high_profit_mode_name = "long_hp" long_rapid_mode_name = "long_rapid" long_grind_mode_name = "long_grind" long_top_coins_mode_name = "long_tc" long_derisk_mode_name = "long_derisk" # Shorting # Short normal mode tags short_normal_mode_tags = ["500", "501"] # Short Pump mode tags short_pump_mode_tags = ["521", "522", "523", "524", "525", "526"] # Short Quick mode tags short_quick_mode_tags = ["541", "542", "543", "544", "545", "546", "547", "548", "549", "550"] # Short rebuy mode tags short_rebuy_mode_tags = ["561"] # Short mode tags short_mode_tags = ["581", "582"] # Short rapid mode tags short_rapid_mode_tags = ["601", "602", "603", "604", "605", "606", "607", "608", "609", "610"] # Short grind mode tags short_grind_mode_tags = ["620"] # Short top coins mode tags short_top_coins_mode_tags = ["641", "642"] short_derisk_mode_tags = ["661"] short_normal_mode_name = "short_normal" short_pump_mode_name = "short_pump" short_quick_mode_name = "short_quick" short_rebuy_mode_name = "short_rebuy" short_high_profit_mode_name = "short_hp" short_rapid_mode_name = "short_rapid" short_top_coins_mode_name = "short_tc" is_futures_mode = False futures_mode_leverage = 3.0 futures_mode_leverage_rebuy_mode = 3.0 futures_mode_leverage_grind_mode = 3.0 # Limit the number of long/short trades for futures (0 for no limit) futures_max_open_trades_long = 0 futures_max_open_trades_short = 0 # Based on the the first entry (regardless of rebuys) stop_threshold_spot = 0.10 stop_threshold_futures = 0.10 stop_threshold_doom_spot = 0.20 stop_threshold_doom_futures = 0.20 stop_threshold_spot_rebuy = 1.0 stop_threshold_futures_rebuy = 1.0 stop_threshold_rapid_spot = 0.20 stop_threshold_rapid_futures = 0.20 stop_threshold_derisk_spot = 0.20 stop_threshold_derisk_futures = 0.20 # user specified fees to be used for profit calculations custom_fee_open_rate = None custom_fee_close_rate = None # Rebuy mode minimum number of free slots rebuy_mode_min_free_slots = 2 # Position adjust feature position_adjustment_enable = True # Grinding feature grinding_enable = True derisk_enable = True stops_enable = True doom_stops_enable = True u_e_stops_enable = False # Grinding grinding_v1_max_stake = 1.0 # ratio of first entry derisk_use_grind_stops = False grind_1_stop_grinds_spot = -0.50 grind_1_profit_threshold_spot = 0.018 grind_1_stakes_spot = [0.24, 0.26, 0.28] grind_1_sub_thresholds_spot = [-0.12, -0.16, -0.20] grind_1_stop_grinds_futures = -0.50 grind_1_profit_threshold_futures = 0.018 grind_1_stakes_futures = [0.24, 0.26, 0.28] grind_1_sub_thresholds_futures = [-0.12, -0.16, -0.20] grind_2_stop_grinds_spot = -0.50 grind_2_profit_threshold_spot = 0.018 grind_2_stakes_spot = [0.20, 0.24, 0.28] grind_2_sub_thresholds_spot = [-0.12, -0.16, -0.20] grind_2_stop_grinds_futures = -0.50 grind_2_profit_threshold_futures = 0.018 grind_2_stakes_futures = [0.20, 0.24, 0.28] grind_2_sub_thresholds_futures = [-0.12, -0.16, -0.20] grind_3_stop_grinds_spot = -0.50 grind_3_profit_threshold_spot = 0.018 grind_3_stakes_spot = [0.20, 0.22, 0.24] grind_3_sub_thresholds_spot = [-0.12, -0.16, -0.20] grind_3_stop_grinds_futures = -0.50 grind_3_profit_threshold_futures = 0.018 grind_3_stakes_futures = [0.20, 0.22, 0.24] grind_3_sub_thresholds_futures = [-0.12, -0.16, -0.20] grind_4_stop_grinds_spot = -0.50 grind_4_profit_threshold_spot = 0.018 grind_4_stakes_spot = [0.20, 0.22, 0.24] grind_4_sub_thresholds_spot = [-0.12, -0.16, -0.20] grind_4_stop_grinds_futures = -0.50 grind_4_profit_threshold_futures = 0.018 grind_4_stakes_futures = [0.20, 0.22, 0.24] grind_4_sub_thresholds_futures = [-0.12, -0.16, -0.20] grind_5_stop_grinds_spot = -0.50 grind_5_profit_threshold_spot = 0.048 grind_5_stakes_spot = [0.20, 0.22, 0.24] grind_5_sub_thresholds_spot = [-0.12, -0.16, -0.20] grind_5_stop_grinds_futures = -0.50 grind_5_profit_threshold_futures = 0.048 grind_5_stakes_futures = [0.20, 0.22, 0.24] grind_5_sub_thresholds_futures = [-0.12, -0.16, -0.20] grind_6_stop_grinds_spot = -0.50 grind_6_profit_threshold_spot = 0.018 grind_6_stakes_spot = [0.10, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18] grind_6_sub_thresholds_spot = [-0.03, -0.08, -0.10, -0.12, -0.14, -0.16, -0.18, -0.20, -0.22] grind_6_stop_grinds_futures = -0.50 grind_6_profit_threshold_futures = 0.018 grind_6_stakes_futures = [0.10, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18] grind_6_sub_thresholds_futures = [-0.03, -0.08, -0.10, -0.12, -0.14, -0.16, -0.18, -0.20, -0.22] grind_1_derisk_1_stop_grinds_spot = -0.50 grind_1_derisk_1_profit_threshold_spot = 0.018 grind_1_derisk_1_stakes_spot = [0.20, 0.24, 0.28] grind_1_derisk_1_sub_thresholds_spot = [-0.12, -0.16, -0.20] grind_1_derisk_1_stop_grinds_futures = -0.50 grind_1_derisk_1_profit_threshold_futures = 0.018 grind_1_derisk_1_stakes_futures = [0.20, 0.24, 0.28] grind_1_derisk_1_sub_thresholds_futures = [-0.12, -0.16, -0.20] grind_2_derisk_1_stop_grinds_spot = -0.50 grind_2_derisk_1_profit_threshold_spot = 0.018 grind_2_derisk_1_stakes_spot = [0.20, 0.24, 0.28] grind_2_derisk_1_sub_thresholds_spot = [-0.12, -0.16, -0.20] grind_2_derisk_1_stop_grinds_futures = -0.50 grind_2_derisk_1_profit_threshold_futures = 0.018 grind_2_derisk_1_stakes_futures = [0.20, 0.24, 0.28] grind_2_derisk_1_sub_thresholds_futures = [-0.12, -0.16, -0.20] grinds_stop_spot = -0.12 grinds_stop_futures = -0.12 # Non rebuy modes regular_mode_stake_multiplier_spot = [1.0] regular_mode_stake_multiplier_futures = [1.0] regular_mode_use_grind_stops = False regular_mode_rebuy_stakes_spot = [0.10, 0.10, 0.10] regular_mode_rebuy_thresholds_spot = [-0.12, -0.14, -0.16] regular_mode_grind_1_stakes_spot = [0.22, 0.24, 0.26] regular_mode_grind_1_thresholds_spot = [-0.06, -0.10, -0.12] regular_mode_grind_1_stop_grinds_spot = -0.20 regular_mode_grind_1_profit_threshold_spot = 0.018 regular_mode_grind_2_stakes_spot = [0.14, 0.20, 0.26] regular_mode_grind_2_thresholds_spot = [-0.04, -0.10, -0.12] regular_mode_grind_2_stop_grinds_spot = -0.20 regular_mode_grind_2_profit_threshold_spot = 0.018 regular_mode_grind_3_stakes_spot = [0.18, 0.20, 0.22] regular_mode_grind_3_thresholds_spot = [-0.03, -0.10, -0.12] regular_mode_grind_3_stop_grinds_spot = -0.20 regular_mode_grind_3_profit_threshold_spot = 0.018 regular_mode_grind_4_stakes_spot = [0.18, 0.20, 0.22] regular_mode_grind_4_thresholds_spot = [-0.03, -0.10, -0.12] regular_mode_grind_4_stop_grinds_spot = -0.20 regular_mode_grind_4_profit_threshold_spot = 0.018 regular_mode_grind_5_stakes_spot = [0.18, 0.20, 0.22] regular_mode_grind_5_thresholds_spot = [-0.03, -0.10, -0.12] regular_mode_grind_5_stop_grinds_spot = -0.20 regular_mode_grind_5_profit_threshold_spot = 0.048 regular_mode_grind_6_stakes_spot = [0.05, 0.057, 0.065, 0.074, 0.084, 0.095, 0.107, 0.121, 0.137] regular_mode_grind_6_thresholds_spot = [-0.025, -0.05, -0.06, -0.07, -0.08, -0.09, -0.10, -0.11, -0.12] regular_mode_grind_6_stop_grinds_spot = -0.20 regular_mode_grind_6_profit_threshold_spot = 0.018 regular_mode_derisk_1_spot = -0.24 regular_mode_derisk_1_spot_old = -0.80 regular_mode_derisk_1_reentry_spot = -0.08 regular_mode_derisk_spot = -0.24 regular_mode_derisk_spot_old = -1.60 regular_mode_derisk_1_derisk_mode_spot = -0.05 regular_mode_rebuy_stakes_futures = [0.10, 0.10, 0.10] regular_mode_rebuy_thresholds_futures = [-0.12, -0.14, -0.16] regular_mode_grind_1_stakes_futures = [0.22, 0.24, 0.26] regular_mode_grind_1_thresholds_futures = [-0.06, -0.10, -0.12] regular_mode_grind_1_stop_grinds_futures = -0.20 regular_mode_grind_1_profit_threshold_futures = 0.018 regular_mode_grind_2_stakes_futures = [0.14, 0.20, 0.26] regular_mode_grind_2_thresholds_futures = [-0.04, -0.10, -0.12] regular_mode_grind_2_stop_grinds_futures = -0.20 regular_mode_grind_2_profit_threshold_futures = 0.018 regular_mode_grind_3_stakes_futures = [0.18, 0.20, 0.22] regular_mode_grind_3_thresholds_futures = [-0.03, -0.10, -0.12] regular_mode_grind_3_stop_grinds_futures = -0.20 regular_mode_grind_3_profit_threshold_futures = 0.018 regular_mode_grind_4_stakes_futures = [0.18, 0.20, 0.22] regular_mode_grind_4_thresholds_futures = [-0.03, -0.10, -0.12] regular_mode_grind_4_stop_grinds_futures = -0.20 regular_mode_grind_4_profit_threshold_futures = 0.018 regular_mode_grind_5_stakes_futures = [0.18, 0.20, 0.22] regular_mode_grind_5_thresholds_futures = [-0.03, -0.10, -0.12] regular_mode_grind_5_stop_grinds_futures = -0.20 regular_mode_grind_5_profit_threshold_futures = 0.048 regular_mode_grind_6_stakes_futures = [0.05, 0.057, 0.065, 0.074, 0.084, 0.095, 0.107, 0.121, 0.137] regular_mode_grind_6_thresholds_futures = [-0.025, -0.05, -0.06, -0.07, -0.08, -0.09, -0.10, -0.11, -0.12] regular_mode_grind_6_stop_grinds_futures = -0.20 regular_mode_grind_6_profit_threshold_futures = 0.018 regular_mode_derisk_1_futures = -0.60 regular_mode_derisk_1_futures_old = -0.80 regular_mode_derisk_1_reentry_futures = -0.08 # without leverage regular_mode_derisk_futures = -0.60 regular_mode_derisk_futures_old = -1.20 regular_mode_derisk_1_derisk_mode_futures = -0.05 # Grinding v2 grinding_v2_max_stake = 1.0 # ratio of first entry grinding_v2_derisk_level_1_enable = True grinding_v2_derisk_level_1_spot = -0.06 grinding_v2_derisk_level_1_futures = -0.06 grinding_v2_derisk_level_2_enable = True grinding_v2_derisk_level_2_spot = -0.10 grinding_v2_derisk_level_2_futures = -0.10 grinding_v2_derisk_level_3_enable = True grinding_v2_derisk_level_3_spot = -0.12 grinding_v2_derisk_level_3_futures = -0.12 grinding_v2_derisk_level_1_stake_spot = 0.20 grinding_v2_derisk_level_1_stake_futures = 0.20 grinding_v2_derisk_level_2_stake_spot = 0.30 grinding_v2_derisk_level_2_stake_futures = 0.30 grinding_v2_derisk_level_3_stake_spot = 0.50 grinding_v2_derisk_level_3_stake_futures = 0.50 grinding_v2_derisk_global_enable = False grinding_v2_derisk_global_spot = -0.10 grinding_v2_derisk_global_futures = -0.10 grinding_v2_grind_1_enable = True grinding_v2_grind_1_stakes_spot = [0.25, 0.30, 0.35, 0.40] grinding_v2_grind_1_thresholds_spot = [-0.12, -0.14, -0.16, -0.18] grinding_v2_grind_1_stakes_futures = [0.25, 0.30, 0.35, 0.40] grinding_v2_grind_1_thresholds_futures = [-0.12, -0.14, -0.16, -0.18] grinding_v2_grind_1_profit_threshold_spot = 0.01 grinding_v2_grind_1_profit_threshold_futures = 0.01 grinding_v2_grind_1_use_derisk = False grinding_v2_grind_1_derisk_spot = -0.10 grinding_v2_grind_1_derisk_futures = -0.10 grinding_v2_grind_2_enable = True grinding_v2_grind_2_stakes_spot = [0.10, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18] grinding_v2_grind_2_thresholds_spot = [-0.10, -0.11, -0.12, -0.13, -0.14, -0.15, -0.16, -0.17, -0.18] grinding_v2_grind_2_stakes_futures = [0.10, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18] grinding_v2_grind_2_thresholds_futures = [-0.10, -0.11, -0.12, -0.13, -0.14, -0.15, -0.16, -0.17, -0.18] grinding_v2_grind_2_profit_threshold_spot = 0.02 grinding_v2_grind_2_profit_threshold_futures = 0.02 grinding_v2_grind_2_use_derisk = False grinding_v2_grind_2_derisk_spot = -0.10 grinding_v2_grind_2_derisk_futures = -0.10 grinding_v2_grind_3_enable = True grinding_v2_grind_3_stakes_spot = [0.10, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18] grinding_v2_grind_3_thresholds_spot = [-0.10, -0.11, -0.12, -0.13, -0.14, -0.15, -0.16, -0.17, -0.18] grinding_v2_grind_3_stakes_futures = [0.10, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18] grinding_v2_grind_3_thresholds_futures = [-0.10, -0.11, -0.12, -0.13, -0.14, -0.15, -0.16, -0.17, -0.18] grinding_v2_grind_3_profit_threshold_spot = 0.02 grinding_v2_grind_3_profit_threshold_futures = 0.02 grinding_v2_grind_3_use_derisk = False grinding_v2_grind_3_derisk_spot = -0.10 grinding_v2_grind_3_derisk_futures = -0.10 grinding_v2_buyback_1_enable = True grinding_v2_buyback_1_stake_spot = 0.20 grinding_v2_buyback_1_stake_futures = 0.20 grinding_v2_buyback_1_distance_ratio_spot = -0.06 grinding_v2_buyback_1_distance_ratio_futures = -0.06 grinding_v2_buyback_1_profit_threshold_spot = 0.10 grinding_v2_buyback_1_profit_threshold_futures = 0.10 grinding_v2_buyback_1_use_derisk = False grinding_v2_buyback_1_derisk_spot = -0.10 grinding_v2_buyback_1_derisk_futures = -0.10 grinding_v2_buyback_2_enable = True grinding_v2_buyback_2_stake_spot = 0.20 grinding_v2_buyback_2_stake_futures = 0.20 grinding_v2_buyback_2_distance_ratio_spot = -0.12 grinding_v2_buyback_2_distance_ratio_futures = -0.12 grinding_v2_buyback_2_profit_threshold_spot = 0.10 grinding_v2_buyback_2_profit_threshold_futures = 0.10 grinding_v2_buyback_2_use_derisk = False grinding_v2_buyback_2_derisk_spot = -0.10 grinding_v2_buyback_2_derisk_futures = -0.10 grinding_v2_buyback_3_enable = True grinding_v2_buyback_3_stake_spot = 0.20 grinding_v2_buyback_3_stake_futures = 0.20 grinding_v2_buyback_3_distance_ratio_spot = -0.16 grinding_v2_buyback_3_distance_ratio_futures = -0.16 grinding_v2_buyback_3_profit_threshold_spot = 0.10 grinding_v2_buyback_3_profit_threshold_futures = 0.10 grinding_v2_buyback_3_use_derisk = False grinding_v2_buyback_3_derisk_spot = -0.10 grinding_v2_buyback_3_derisk_futures = -0.10 # Rebuy mode rebuy_mode_stake_multiplier = 0.2 # rebuy_mode_stake_multiplier_alt = 0.3 # rebuy_mode_max = 3 rebuy_mode_derisk_spot = -1.0 rebuy_mode_derisk_futures = -2.0 rebuy_mode_stakes_spot = [1.0, 1.25, 1.5, 1.75, 2.0] rebuy_mode_stakes_futures = [1.0, 1.25, 1.5, 1.75, 2.0] rebuy_mode_thresholds_spot = [-0.04, -0.06, -0.08, -0.10, -0.12] rebuy_mode_thresholds_futures = [-0.04, -0.06, -0.08, -0.10, -0.12] # Rapid mode rapid_mode_stake_multiplier_spot = [0.75] rapid_mode_stake_multiplier_futures = [0.75] # Derisk mode min_free_slots_derisk_mode = 2 # Grind mode grind_mode_stake_multiplier_spot = [0.20, 0.30, 0.40, 0.50, 0.60, 0.70] grind_mode_stake_multiplier_futures = [0.20, 0.30, 0.40, 0.50] grind_mode_first_entry_profit_threshold_spot = 0.018 grind_mode_first_entry_profit_threshold_futures = 0.018 grind_mode_first_entry_stop_threshold_spot = -0.20 grind_mode_first_entry_stop_threshold_futures = -0.20 grind_mode_max_slots = 1 grind_mode_coins = [ "ADA", "ALGO", "APT", "ARB", "ATOM", "AVAX", "BCH", "DOGE", "DOT", "EOS", "ETC", "ETH", "FIL", "GRT", "HBAR", "ICP", "KAS", "LINK", "LTC", "NEAR", "OP", "POL", "QNT", "RENDER", "SUI", "THETA", "TON", "UNI", "VET", "XLM", "XMR", "XRP", ] # Top coins mode coins top_coins_mode_coins = [ "AAVE", "ADA", "ALGO", "APT", "ARB", "ATOM", "AVAX", "BCH", "BTC", "CRV", "DOGE", "DOT", "ENA", "EOS", "ETC", "ETH", "FET", "FIL", "GRT", "HBAR", "ICP", "IMX", "INJ", "JTO", "KAS", "LDO", "LINK", "LTC", "MKR", "NEAR", "OP", "POL", "QNT", "RAY", "RENDER", "SEI", "SOL", "STX", "SUI", "TAO", "THETA", "TIA", "TON", "TRX", "UNI", "VET", "XLM", "XRP", "XTZ", ] # Profit max thresholds profit_max_thresholds = [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.05, 0.05] # Max allowed buy "slippage", how high to buy on the candle max_slippage = 0.012 # BTC/ETH stakes btc_stakes = ["BTC", "ETH"] ############################################################# # Buy side configuration long_entry_signal_params = { # Enable/Disable conditions # ------------------------------------------------------- "long_entry_condition_1_enable": True, "long_entry_condition_2_enable": True, "long_entry_condition_3_enable": True, "long_entry_condition_4_enable": True, "long_entry_condition_5_enable": True, "long_entry_condition_6_enable": True, "long_entry_condition_41_enable": True, "long_entry_condition_42_enable": True, "long_entry_condition_43_enable": True, "long_entry_condition_101_enable": True, "long_entry_condition_102_enable": True, "long_entry_condition_120_enable": True, "long_entry_condition_141_enable": True, "long_entry_condition_142_enable": True, "long_entry_condition_143_enable": True, "long_entry_condition_144_enable": True, } short_entry_signal_params = { # Enable/Disable conditions # ------------------------------------------------------- "short_entry_condition_501_enable": True, # "short_entry_condition_502_enable": True, # "short_entry_condition_503_enable": True, # "short_entry_condition_504_enable": True, # "short_entry_condition_541_enable": True, # "short_entry_condition_542_enable": True, # "short_entry_condition_543_enable": True, # "short_entry_condition_603_enable": True, # "short_entry_condition_641_enable": True, # "short_entry_condition_642_enable": True, # "short_entry_condition_661_enable": False, } ############################################################# # CACHES hold_trades_cache = None target_profit_cache = None ############################################################# # # # $$$$$$\ $$$$$$\ $$\ $$\ $$\ $$\ $$$$$$\ $$\ $$\ # $$ __$$\ $$ __$$\ $$$\ $$$ |$$$\ $$$ |$$ __$$\ $$$\ $$ | # $$ / \__|$$ / $$ |$$$$\ $$$$ |$$$$\ $$$$ |$$ / $$ |$$$$\ $$ | # $$ | $$ | $$ |$$\$$\$$ $$ |$$\$$\$$ $$ |$$ | $$ |$$ $$\$$ | # $$ | $$ | $$ |$$ \$$$ $$ |$$ \$$$ $$ |$$ | $$ |$$ \$$$$ | # $$ | $$\ $$ | $$ |$$ |\$ /$$ |$$ |\$ /$$ |$$ | $$ |$$ |\$$$ | # \$$$$$$ | $$$$$$ |$$ | \_/ $$ |$$ | \_/ $$ | $$$$$$ |$$ | \$$ | # \______/ \______/ \__| \__|\__| \__| \______/ \__| \__| # # # # $$$$$$$$\ $$\ $$\ $$\ $$\ $$$$$$\ $$$$$$$$\ $$$$$$\ $$$$$$\ $$\ $$\ $$$$$$\ # $$ _____|$$ | $$ |$$$\ $$ |$$ __$$\\__$$ __|\_$$ _|$$ __$$\ $$$\ $$ |$$ __$$\ # $$ | $$ | $$ |$$$$\ $$ |$$ / \__| $$ | $$ | $$ / $$ |$$$$\ $$ |$$ / \__| # $$$$$\ $$ | $$ |$$ $$\$$ |$$ | $$ | $$ | $$ | $$ |$$ $$\$$ |\$$$$$$\ # $$ __| $$ | $$ |$$ \$$$$ |$$ | $$ | $$ | $$ | $$ |$$ \$$$$ | \____$$\ # $$ | $$ | $$ |$$ |\$$$ |$$ | $$\ $$ | $$ | $$ | $$ |$$ |\$$$ |$$\ $$ | # $$ | \$$$$$$ |$$ | \$$ |\$$$$$$ | $$ | $$$$$$\ $$$$$$ |$$ | \$$ |\$$$$$$ | # \__| \______/ \__| \__| \______/ \__| \______| \______/ \__| \__| \______/ # # ############################################################################################### # COMMON FUNCTIONS FOR BOTH LONG AND SHORT SIDE STARTS HERE ############################################################################################### def __init__(self, config: dict) -> None: if "ccxt_config" not in config["exchange"]: config["exchange"]["ccxt_config"] = {} if "ccxt_async_config" not in config["exchange"]: config["exchange"]["ccxt_async_config"] = {} options = { "brokerId": None, "broker": {"spot": None, "margin": None, "future": None, "delivery": None}, "partner": { "spot": {"id": None, "key": None}, "future": {"id": None, "key": None}, "id": None, "key": None, }, } config["exchange"]["ccxt_config"]["options"] = options config["exchange"]["ccxt_async_config"]["options"] = options super().__init__(config) if ("exit_profit_only" in self.config and self.config["exit_profit_only"]) or ( "sell_profit_only" in self.config and self.config["sell_profit_only"] ): self.exit_profit_only = True if "num_cores_indicators_calc" in self.config: self.num_cores_indicators_calc = self.config["num_cores_indicators_calc"] if "custom_fee_open_rate" in self.config: self.custom_fee_open_rate = self.config["custom_fee_open_rate"] if "custom_fee_close_rate" in self.config: self.custom_fee_close_rate = self.config["custom_fee_close_rate"] if "futures_mode_leverage" in self.config: self.futures_mode_leverage = self.config["futures_mode_leverage"] if "futures_mode_leverage_rebuy_mode" in self.config: self.futures_mode_leverage_rebuy_mode = self.config["futures_mode_leverage_rebuy_mode"] if "futures_mode_leverage_grind_mode" in self.config: self.futures_mode_leverage_grind_mode = self.config["futures_mode_leverage_grind_mode"] if "futures_max_open_trades_long" in self.config: self.futures_max_open_trades_long = self.config["futures_max_open_trades_long"] if "futures_max_open_trades_short" in self.config: self.futures_max_open_trades_short = self.config["futures_max_open_trades_short"] if "stop_threshold_doom_spot" in self.config: self.stop_threshold_doom_spot = self.config["stop_threshold_doom_spot"] if "stop_threshold_doom_futures" in self.config: self.stop_threshold_doom_futures = self.config["stop_threshold_doom_futures"] if "stop_threshold_rapid_spot" in self.config: self.stop_threshold_rapid_spot = self.config["stop_threshold_rapid_spot"] if "stop_threshold_rapid_futures" in self.config: self.stop_threshold_rapid_futures = self.config["stop_threshold_rapid_futures"] if "derisk_enable" in self.config: self.derisk_enable = self.config["derisk_enable"] if "stops_enable" in self.config: self.stops_enable = self.config["stops_enable"] if "regular_mode_derisk_1_spot" in self.config: self.regular_mode_derisk_1_spot = self.config["regular_mode_derisk_1_spot"] if "regular_mode_derisk_spot" in self.config: self.regular_mode_derisk_spot = self.config["regular_mode_derisk_spot"] if "regular_mode_derisk_1_futures" in self.config: self.regular_mode_derisk_1_futures = self.config["regular_mode_derisk_1_futures"] if "regular_mode_derisk_futures" in self.config: self.regular_mode_derisk_futures = self.config["regular_mode_derisk_futures"] if "grind_mode_max_slots" in self.config: self.grind_mode_max_slots = self.config["grind_mode_max_slots"] if "grind_mode_coins" in self.config: self.grind_mode_coins = self.config["grind_mode_coins"] if "max_slippage" in self.config: self.max_slippage = self.config["max_slippage"] if self.target_profit_cache is None: bot_name = "" if "bot_name" in self.config: bot_name = self.config["bot_name"] + "-" self.target_profit_cache = Cache( self.config["user_data_dir"] / ( "nfix6-profit_max-" + bot_name + self.config["exchange"]["name"] + "-" + self.config["stake_currency"] + ("-(backtest)" if (self.config["runmode"].value == "backtest") else "") + ("-(hyperopt)" if (self.config["runmode"].value == "hyperopt") else "") + ".json" ) ) # OKX, Kraken provides a lower number of candle data per API call if self.config["exchange"]["name"] in ["okx", "okex"]: self.startup_candle_count = 480 elif self.config["exchange"]["name"] in ["kraken"]: self.startup_candle_count = 710 elif self.config["exchange"]["name"] in ["bybit"]: self.startup_candle_count = 199 elif self.config["exchange"]["name"] in ["bitget"]: self.startup_candle_count = 499 elif self.config["exchange"]["name"] in ["bingx"]: self.startup_candle_count = 499 if ("trading_mode" in self.config) and (self.config["trading_mode"] in ["futures", "margin"]): self.is_futures_mode = True self.can_short = True # If the cached data hasn't changed, it's a no-op self.target_profit_cache.save() self.update_signals_from_config(self.config) # Plot configuration for FreqUI # --------------------------------------------------------------------------------------------- @property def plot_config(self): plot_config = {} plot_config["main_plot"] = { "EMA_12": {"color": "LightGreen"}, "EMA_26": {"color": "Yellow"}, "EMA_50": {"color": "DodgerBlue"}, "EMA_200": {"color": "DarkRed"}, } plot_config["subplots"] = { "long_pump_protection": {"global_protections_long_pump": {"color": "green"}}, "long_dump_protection": {"global_protections_long_dump": {"color": "red"}}, } return plot_config # Get Ticker Indicator # --------------------------------------------------------------------------------------------- def get_ticker_indicator(self): return int(self.timeframe[:-1]) # Mark Profit Target # --------------------------------------------------------------------------------------------- def mark_profit_target( self, mode_name: str, pair: str, sell: bool, signal_name: str, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, last_candle, previous_candle_1, ) -> tuple: if sell and (signal_name is not None): return pair, signal_name return None, None # Exit Profit Target # --------------------------------------------------------------------------------------------- def exit_profit_target( self, mode_name: str, pair: str, trade: Trade, current_time: datetime, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) -> tuple: is_backtest = self.is_backtest_mode() is_derisk = False if previous_sell_reason in [ f"exit_{mode_name}_stoploss_doom", f"exit_{mode_name}_stoploss", f"exit_{mode_name}_stoploss_u_e", ]: filled_entries = trade.select_filled_orders(trade.entry_side) filled_exits = trade.select_filled_orders(trade.exit_side) has_order_tags = False if hasattr(filled_entries[0], "ft_order_tag"): has_order_tags = True for order in filled_exits: order_tag = "" if has_order_tags: if order.ft_order_tag is not None: sell_order_tag = order.ft_order_tag order_mode = sell_order_tag.split(" ", 1) if len(order_mode) > 0: order_tag = order_mode[0] if order_tag in ["d", "d1", "derisk_level_1", "derisk_level_2", "derisk_level_3"]: is_derisk = True break if not is_derisk: is_derisk = trade.amount < (filled_entries[0].safe_filled * 0.95) if previous_sell_reason in [f"exit_{mode_name}_stoploss_doom", f"exit_{mode_name}_stoploss"]: is_rapid_mode = all(c in self.long_rapid_mode_tags for c in enter_tags) # new X6 settings, >= "v16.2.0" if trade.open_date_utc.replace(tzinfo=None) >= datetime(2025, 3, 9) or is_backtest: if not is_rapid_mode and ( profit_init_ratio <= -(self.stop_threshold_doom_futures if self.is_futures_mode else self.stop_threshold_doom_spot) ): return True, previous_sell_reason elif is_rapid_mode and ( profit_init_ratio <= -(self.stop_threshold_rapid_futures if self.is_futures_mode else self.stop_threshold_rapid_spot) ): return True, previous_sell_reason if profit_init_ratio > 0.0: # profit is over the threshold, don't exit self._remove_profit_target(pair) return False, None elif is_derisk: self._remove_profit_target(pair) return False, None elif self.derisk_enable and (current_time - timedelta(minutes=60) > previous_time_profit_reached): if profit_ratio < previous_profit: return True, previous_sell_reason elif profit_ratio > previous_profit: self._remove_profit_target(pair) return False, None elif ( not self.derisk_enable and not is_rapid_mode and ( profit_init_ratio <= -(self.stop_threshold_doom_futures if self.is_futures_mode else self.stop_threshold_doom_spot) ) ): return True, previous_sell_reason elif ( not self.derisk_enable and is_rapid_mode and ( profit_init_ratio <= -(self.stop_threshold_rapid_futures if self.is_futures_mode else self.stop_threshold_rapid_spot) ) ): return True, previous_sell_reason elif previous_sell_reason in [f"exit_{mode_name}_stoploss_u_e"]: if profit_init_ratio > 0.0: # profit is over the threshold, don't exit self._remove_profit_target(pair) return False, None elif is_derisk: self._remove_profit_target(pair) return False, None elif profit_ratio < (previous_profit - (0.04 / trade.leverage)): return True, previous_sell_reason elif previous_sell_reason in [f"exit_profit_{mode_name}_max"]: if profit_init_ratio < -0.08: # profit is under the threshold, cancel it self._remove_profit_target(pair) return False, None if trade.is_short: if 0.001 <= profit_init_ratio < 0.01: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14"] > previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_0_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] > 0.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_0_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0): return True, f"exit_profit_{mode_name}_t_0_3" elif 0.01 <= profit_init_ratio < 0.02: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14"] > previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_1_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] > 0.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_1_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0): return True, f"exit_profit_{mode_name}_t_1_3" elif 0.02 <= profit_init_ratio < 0.03: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14"] > previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_2_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] > 0.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_2_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0): return True, f"exit_profit_{mode_name}_t_2_3" elif 0.03 <= profit_init_ratio < 0.04: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14"] > previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_3_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] > 0.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_3_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0): return True, f"exit_profit_{mode_name}_t_3_3" elif 0.04 <= profit_init_ratio < 0.05: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14"] > previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_4_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] > 0.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_4_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0): return True, f"exit_profit_{mode_name}_t_4_3" elif 0.05 <= profit_init_ratio < 0.06: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14"] > previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_5_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] > 0.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_5_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0): return True, f"exit_profit_{mode_name}_t_5_3" elif 0.06 <= profit_init_ratio < 0.07: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14"] > previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_6_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] > 0.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_6_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0): return True, f"exit_profit_{mode_name}_t_6_3" elif 0.07 <= profit_init_ratio < 0.08: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14"] > previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_7_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] > 0.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_7_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0): return True, f"exit_profit_{mode_name}_t_7_3" elif 0.08 <= profit_init_ratio < 0.09: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14"] > previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_8_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] > 0.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_8_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0): return True, f"exit_profit_{mode_name}_t_8_3" elif 0.09 <= profit_init_ratio < 0.10: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14"] > previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_9_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] > 0.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_9_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0): return True, f"exit_profit_{mode_name}_t_9_3" elif 0.10 <= profit_init_ratio < 0.11: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14"] > previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_10_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] > 0.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_10_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0): return True, f"exit_profit_{mode_name}_t_10_3" elif 0.11 <= profit_init_ratio < 0.12: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14"] > previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_11_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] > 0.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_11_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0): return True, f"exit_profit_{mode_name}_t_11_3" elif 0.12 <= profit_init_ratio: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14"] > previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_12_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] > 0.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_profit_{mode_name}_t_12_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0): return True, f"exit_profit_{mode_name}_t_12_3" else: if 0.001 <= profit_init_ratio < 0.01: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14"] < previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_0_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] < -0.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_0_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0): return True, f"exit_profit_{mode_name}_t_0_3" elif 0.01 <= profit_init_ratio < 0.02: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14"] < previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_1_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] < -0.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_1_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0): return True, f"exit_profit_{mode_name}_t_1_3" elif 0.02 <= profit_init_ratio < 0.03: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14"] < previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_2_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] < -0.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_2_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0): return True, f"exit_profit_{mode_name}_t_2_3" elif 0.03 <= profit_init_ratio < 0.04: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14"] < previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_3_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] < -0.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_3_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0): return True, f"exit_profit_{mode_name}_t_3_3" elif 0.04 <= profit_init_ratio < 0.05: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14"] < previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_4_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] < -0.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_4_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0): return True, f"exit_profit_{mode_name}_t_4_3" elif 0.05 <= profit_init_ratio < 0.06: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14"] < previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_5_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] < -0.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_5_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0): return True, f"exit_profit_{mode_name}_t_5_3" elif 0.06 <= profit_init_ratio < 0.07: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14"] < previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_6_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] < -0.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_6_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0): return True, f"exit_profit_{mode_name}_t_6_3" elif 0.07 <= profit_init_ratio < 0.08: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14"] < previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_7_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] < -0.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_7_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0): return True, f"exit_profit_{mode_name}_t_7_3" elif 0.08 <= profit_init_ratio < 0.09: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14"] < previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_8_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] < -0.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_8_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0): return True, f"exit_profit_{mode_name}_t_8_3" elif 0.09 <= profit_init_ratio < 0.10: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14"] < previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_9_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] < -0.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_9_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0): return True, f"exit_profit_{mode_name}_t_9_3" elif 0.10 <= profit_init_ratio < 0.11: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14"] < previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_10_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] < -0.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_10_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0): return True, f"exit_profit_{mode_name}_t_10_3" elif 0.11 <= profit_init_ratio < 0.12: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14"] < previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_11_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] < -0.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_11_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0): return True, f"exit_profit_{mode_name}_t_11_3" elif 0.12 <= profit_init_ratio: if ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14"] < previous_candle_1["RSI_14"]) and (last_candle["CMF_20"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_12_1" elif ( profit_init_ratio < (previous_profit - 0.03) and (last_candle["CMF_20"] < -0.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_profit_{mode_name}_t_12_2" elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0): return True, f"exit_profit_{mode_name}_t_12_3" else: return False, None return False, None # Calc Total Profit # --------------------------------------------------------------------------------------------- def calc_total_profit( self, trade: "Trade", filled_entries: "Orders", filled_exits: "Orders", exit_rate: float ) -> tuple: """ Calculates the absolute profit for open trades. :param trade: trade object. :param filled_entries: Filled entries list. :param filled_exits: Filled exits list. :param exit_rate: The exit rate. :return tuple: The total profit in stake, ratio, ratio based on current stake, and ratio based on the first entry stake. """ fee_open_rate = trade.fee_open if self.custom_fee_open_rate is None else self.custom_fee_open_rate fee_close_rate = trade.fee_close if self.custom_fee_close_rate is None else self.custom_fee_close_rate total_amount = 0.0 total_stake = 0.0 total_profit = 0.0 current_stake = 0.0 for entry_order in filled_entries: if trade.is_short: entry_stake = entry_order.safe_filled * entry_order.safe_price * (1 - fee_open_rate) total_amount += entry_order.safe_filled total_stake += entry_stake total_profit += entry_stake else: entry_stake = entry_order.safe_filled * entry_order.safe_price * (1 + fee_open_rate) total_amount += entry_order.safe_filled total_stake += entry_stake total_profit -= entry_stake for exit_order in filled_exits: if trade.is_short: exit_stake = exit_order.safe_filled * exit_order.safe_price * (1 + fee_close_rate) total_amount -= exit_order.safe_filled total_profit -= exit_stake else: exit_stake = exit_order.safe_filled * exit_order.safe_price * (1 - fee_close_rate) total_amount -= exit_order.safe_filled total_profit += exit_stake if trade.is_short: current_stake = total_amount * exit_rate * (1 + fee_close_rate) total_profit -= current_stake else: current_stake = total_amount * exit_rate * (1 - fee_close_rate) total_profit += current_stake if self.is_futures_mode: total_profit += trade.funding_fees total_profit_ratio = total_profit / total_stake current_profit_ratio = total_profit / current_stake init_profit_ratio = total_profit / filled_entries[0].cost return total_profit, total_profit_ratio, current_profit_ratio, init_profit_ratio # Custom Exit # --------------------------------------------------------------------------------------------- def custom_exit( self, pair: str, trade: "Trade", current_time: "datetime", current_rate: float, current_profit: float, **kwargs ): df, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) last_candle = df.iloc[-1].squeeze() previous_candle_1 = df.iloc[-2].squeeze() previous_candle_2 = df.iloc[-3].squeeze() previous_candle_3 = df.iloc[-4].squeeze() previous_candle_4 = df.iloc[-5].squeeze() previous_candle_5 = df.iloc[-6].squeeze() enter_tag = "empty" if hasattr(trade, "enter_tag") and trade.enter_tag is not None: enter_tag = trade.enter_tag enter_tags = enter_tag.split() filled_entries = trade.select_filled_orders(trade.entry_side) filled_exits = trade.select_filled_orders(trade.exit_side) profit_stake = 0.0 profit_ratio = 0.0 profit_current_stake_ratio = 0.0 profit_init_ratio = 0.0 profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio = self.calc_total_profit( trade, filled_entries, filled_exits, current_rate ) max_profit = (trade.max_rate - trade.open_rate) / trade.open_rate max_loss = (trade.open_rate - trade.min_rate) / trade.min_rate count_of_entries = len(filled_entries) if count_of_entries > 1: initial_entry = filled_entries[0] if initial_entry is not None and initial_entry.average is not None: max_profit = (trade.max_rate - initial_entry.average) / initial_entry.average max_loss = (initial_entry.average - trade.min_rate) / trade.min_rate # Long Normal mode if any(c in self.long_normal_mode_tags for c in enter_tags): sell, signal_name = self.long_exit_normal( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Long Pump mode if any(c in self.long_pump_mode_tags for c in enter_tags): sell, signal_name = self.long_exit_pump( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Long Quick mode if any(c in self.long_quick_mode_tags for c in enter_tags): sell, signal_name = self.long_exit_quick( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Long Rebuy mode if all(c in self.long_rebuy_mode_tags for c in enter_tags): sell, signal_name = self.long_exit_rebuy( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Long high profit mode if any(c in self.long_mode_tags for c in enter_tags): sell, signal_name = self.long_exit_high_profit( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Long rapid mode if all(c in self.long_rapid_mode_tags for c in enter_tags) or ( any(c in self.long_rapid_mode_tags for c in enter_tags) and all( c in ( self.long_rapid_mode_tags + self.long_rebuy_mode_tags + self.long_grind_mode_tags + self.long_derisk_mode_tags ) for c in enter_tags ) ): sell, signal_name = self.long_exit_rapid( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Long grind mode if all(c in self.long_grind_mode_tags for c in enter_tags): sell, signal_name = self.long_exit_grind( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Long Top Coins mode if any(c in self.long_top_coins_mode_tags for c in enter_tags): sell, signal_name = self.long_exit_top_coins( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Long derisk mode if all(c in self.long_derisk_mode_tags for c in enter_tags): sell, signal_name = self.long_exit_derisk( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Short normal mode if any(c in self.short_normal_mode_tags for c in enter_tags): sell, signal_name = self.short_exit_normal( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Short Pump mode if any(c in self.short_pump_mode_tags for c in enter_tags): sell, signal_name = self.short_exit_pump( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Short Quick mode if any(c in self.short_quick_mode_tags for c in enter_tags): sell, signal_name = self.short_exit_quick( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Short Rebuy mode if all(c in self.short_rebuy_mode_tags for c in enter_tags): sell, signal_name = self.short_exit_rebuy( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Short high profit mode if any(c in self.short_mode_tags for c in enter_tags): sell, signal_name = self.short_exit_high_profit( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Short rapid mode if any(c in self.short_rapid_mode_tags for c in enter_tags): sell, signal_name = self.short_exit_rapid( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Trades not opened by X5 if not trade.is_short and ( not any( c in ( self.long_normal_mode_tags + self.long_pump_mode_tags + self.long_quick_mode_tags + self.long_rebuy_mode_tags + self.long_mode_tags + self.long_rapid_mode_tags + self.long_grind_mode_tags + self.long_top_coins_mode_tags + self.long_derisk_mode_tags ) for c in enter_tags ) ): # use normal mode for such trades sell, signal_name = self.long_exit_normal( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" # Trades not opened by X5 if trade.is_short and ( not any( c in ( self.short_normal_mode_tags + self.short_pump_mode_tags + self.short_quick_mode_tags + self.short_rebuy_mode_tags + self.short_mode_tags + self.short_rapid_mode_tags + self.short_grind_mode_tags ) for c in enter_tags ) ): # use normal mode for such trades sell, signal_name = self.short_exit_normal( pair, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) if sell and (signal_name is not None): return f"{signal_name} ( {enter_tag})" return None # Custom Stake Amount # --------------------------------------------------------------------------------------------- def custom_stake_amount( self, pair: str, current_time: datetime, current_rate: float, proposed_stake: float, min_stake: Optional[float], max_stake: float, leverage: float, entry_tag: Optional[str], side: str, **kwargs, ) -> float: enter_tags = entry_tag.split() if side == "long": # Rebuy mode if all(c in self.long_rebuy_mode_tags for c in enter_tags) or ( any(c in self.long_rebuy_mode_tags for c in enter_tags) and all(c in (self.long_rebuy_mode_tags + self.long_grind_mode_tags) for c in enter_tags) ): stake_multiplier = self.rebuy_mode_stake_multiplier # Low stakes, on Binance mostly if (proposed_stake * self.rebuy_mode_stake_multiplier) < min_stake: stake_multiplier = self.rebuy_mode_stake_multiplier_alt return proposed_stake * stake_multiplier # Rapid mode if all(c in self.long_rapid_mode_tags for c in enter_tags) or ( any(c in self.long_rapid_mode_tags for c in enter_tags) and all( c in ( self.long_rapid_mode_tags + self.long_rebuy_mode_tags + self.long_grind_mode_tags + self.long_derisk_mode_tags ) for c in enter_tags ) ): stake_multiplier = ( self.rapid_mode_stake_multiplier_futures[0] if self.is_futures_mode else self.rapid_mode_stake_multiplier_spot[0] ) if (proposed_stake * stake_multiplier) > min_stake: return proposed_stake * stake_multiplier else: return min_stake # Grind mode elif all(c in self.long_grind_mode_tags for c in enter_tags): for _, item in enumerate( self.grind_mode_stake_multiplier_futures if self.is_futures_mode else self.grind_mode_stake_multiplier_spot ): if (proposed_stake * item) > min_stake: stake_multiplier = item return proposed_stake * stake_multiplier else: stake_multiplier = ( self.regular_mode_stake_multiplier_futures[0] if self.is_futures_mode else self.regular_mode_stake_multiplier_spot[0] ) if (proposed_stake * stake_multiplier) > min_stake: return proposed_stake * stake_multiplier else: return min_stake else: # Rebuy mode if all(c in self.short_rebuy_mode_tags for c in enter_tags) or ( any(c in self.short_rebuy_mode_tags for c in enter_tags) and all(c in (self.short_rebuy_mode_tags + self.short_grind_mode_tags) for c in enter_tags) ): stake_multiplier = self.rebuy_mode_stake_multiplier # Low stakes, on Binance mostly if (proposed_stake * self.rebuy_mode_stake_multiplier) < min_stake: stake_multiplier = self.rebuy_mode_stake_multiplier_alt return proposed_stake * stake_multiplier # Grind mode elif all(c in self.short_grind_mode_tags for c in enter_tags): for _, item in enumerate( self.grind_mode_stake_multiplier_futures if self.is_futures_mode else self.grind_mode_stake_multiplier_spot ): if (proposed_stake * item) > min_stake: stake_multiplier = item return proposed_stake * stake_multiplier else: stake_multiplier = ( self.regular_mode_stake_multiplier_futures[0] if self.is_futures_mode else self.regular_mode_stake_multiplier_spot[0] ) if (proposed_stake * stake_multiplier) > min_stake: return proposed_stake * stake_multiplier else: return min_stake return proposed_stake # Adjust Trade Position # --------------------------------------------------------------------------------------------- def adjust_trade_position( self, trade: Trade, current_time: datetime, current_rate: float, current_profit: float, min_stake: Optional[float], max_stake: float, current_entry_rate: float, current_exit_rate: float, current_entry_profit: float, current_exit_profit: float, **kwargs, ): if self.position_adjustment_enable == False: return None enter_tag = "empty" if hasattr(trade, "enter_tag") and trade.enter_tag is not None: enter_tag = trade.enter_tag enter_tags = enter_tag.split() is_backtest = self.is_backtest_mode() is_long_grind_mode = all(c in self.long_grind_mode_tags for c in enter_tags) is_short_grind_mode = all(c in self.short_grind_mode_tags for c in enter_tags) is_v2_date = trade.open_date_utc.replace(tzinfo=None) >= datetime(2025, 2, 13) or is_backtest # Rebuy mode if not trade.is_short and ( all(c in self.long_rebuy_mode_tags for c in enter_tags) or ( any(c in self.long_rebuy_mode_tags for c in enter_tags) and all(c in (self.long_rebuy_mode_tags + self.long_grind_mode_tags) for c in enter_tags) ) ): return self.long_rebuy_adjust_trade_position( trade, enter_tags, current_time, current_rate, current_profit, min_stake, max_stake, current_entry_rate, current_exit_rate, current_entry_profit, current_exit_profit, ) # Grinding elif not trade.is_short: if is_long_grind_mode or not is_v2_date: return self.long_grind_adjust_trade_position( trade, enter_tags, current_time, current_rate, current_profit, min_stake, max_stake, current_entry_rate, current_exit_rate, current_entry_profit, current_exit_profit, ) elif any( c in ( self.long_normal_mode_tags + self.long_pump_mode_tags + self.long_quick_mode_tags + self.long_mode_tags + self.long_rapid_mode_tags + self.long_top_coins_mode_tags ) for c in enter_tags ) or not any( c in ( self.long_normal_mode_tags + self.long_pump_mode_tags + self.long_quick_mode_tags + self.long_rebuy_mode_tags + self.long_mode_tags + self.long_rapid_mode_tags + self.long_grind_mode_tags + self.long_top_coins_mode_tags ) for c in enter_tags ): return self.long_grind_adjust_trade_position_v2( trade, enter_tags, current_time, current_rate, current_profit, min_stake, max_stake, current_entry_rate, current_exit_rate, current_entry_profit, current_exit_profit, ) elif trade.is_short: if is_short_grind_mode or not is_v2_date: return self.short_grind_adjust_trade_position( trade, enter_tags, current_time, current_rate, current_profit, min_stake, max_stake, current_entry_rate, current_exit_rate, current_entry_profit, current_exit_profit, ) else: if any( c in ( self.short_normal_mode_tags + self.short_pump_mode_tags + self.short_quick_mode_tags + self.short_mode_tags + self.short_rapid_mode_tags + self.short_top_coins_mode_tags ) for c in enter_tags ) or not any( c in ( self.short_normal_mode_tags + self.short_pump_mode_tags + self.short_quick_mode_tags + self.short_rebuy_mode_tags + self.short_mode_tags + self.short_rapid_mode_tags + self.short_grind_mode_tags + self.short_top_coins_mode_tags ) for c in enter_tags ): return self.short_grind_adjust_trade_position_v2( trade, enter_tags, current_time, current_rate, current_profit, min_stake, max_stake, current_entry_rate, current_exit_rate, current_entry_profit, current_exit_profit, ) return None # Informative Pairs # --------------------------------------------------------------------------------------------- def informative_pairs(self): # get access to all pairs available in whitelist. pairs = self.dp.current_whitelist() # Assign tf to each pair so they can be downloaded and cached for strategy. informative_pairs = [] for info_timeframe in self.info_timeframes: informative_pairs.extend([(pair, info_timeframe) for pair in pairs]) if self.config["stake_currency"] in [ "USDT", "BUSD", "USDC", "DAI", "TUSD", "FDUSD", "PAX", "USD", "EUR", "GBP", "TRY", ]: if ("trading_mode" in self.config) and (self.config["trading_mode"] in ["futures", "margin"]): btc_info_pair = f"BTC/{self.config['stake_currency']}:{self.config['stake_currency']}" else: btc_info_pair = f"BTC/{self.config['stake_currency']}" else: if ("trading_mode" in self.config) and (self.config["trading_mode"] in ["futures", "margin"]): btc_info_pair = "BTC/USDT:USDT" else: btc_info_pair = "BTC/USDT" informative_pairs.extend([(btc_info_pair, btc_info_timeframe) for btc_info_timeframe in self.btc_info_timeframes]) return informative_pairs # Informative 1d Timeframe Indicators # --------------------------------------------------------------------------------------------- def informative_1d_indicators(self, metadata: dict, info_timeframe) -> DataFrame: tik = time.perf_counter() assert self.dp, "DataProvider is required for multiple timeframes." # Get the informative pair informative_1d = self.dp.get_pair_dataframe(pair=metadata["pair"], timeframe=info_timeframe) # Indicators # ----------------------------------------------------------------------------------------- # informative_1d_indicators_pandas_ta = pta.Strategy( # name="informative_1d_indicators_pandas_ta", # ta=[ # # RSI # {"kind": "rsi", "length": 3}, # {"kind": "rsi", "length": 14}, # # {"kind": "rsi", "length": 20}, # # EMA # # {"kind": "ema", "length": 12}, # # {"kind": "ema", "length": 16}, # # {"kind": "ema", "length": 20}, # # {"kind": "ema", "length": 26}, # # {"kind": "ema", "length": 50}, # # {"kind": "ema", "length": 100}, # # {"kind": "ema", "length": 200}, # # SMA # # {"kind": "sma", "length": 16}, # # MFI # {"kind": "mfi"}, # # CMF # {"kind": "cmf"}, # # Williams %R # {"kind": "willr", "length": 14}, # # STOCHRSI # {"kind": "stochrsi"}, # # KST # {"kind": "kst"}, # # ROC # {"kind": "roc"}, # # AROON # {"kind": "aroon"}, # ], # ) # informative_1d.ta.study(informative_1d_indicators_pandas_ta, cores=self.num_cores_indicators_calc) # RSI informative_1d["RSI_3"] = pta.rsi(informative_1d["close"], length=3) informative_1d["RSI_14"] = pta.rsi(informative_1d["close"], length=14) informative_1d["RSI_3_change_pct"] = ( (informative_1d["RSI_3"] - informative_1d["RSI_3"].shift(1)) / (informative_1d["RSI_3"].shift(1)) ) * 100.0 informative_1d["RSI_14_change_pct"] = ( (informative_1d["RSI_14"] - informative_1d["RSI_14"].shift(1)) / (informative_1d["RSI_14"].shift(1)) ) * 100.0 informative_1d["RSI_3_diff"] = informative_1d["RSI_3"] - informative_1d["RSI_3"].shift(1) informative_1d["RSI_14_diff"] = informative_1d["RSI_14"] - informative_1d["RSI_14"].shift(1) # BB 20 - STD2 bbands_20_2 = pta.bbands(informative_1d["close"], length=20) informative_1d["BBL_20_2.0"] = bbands_20_2["BBL_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan informative_1d["BBM_20_2.0"] = bbands_20_2["BBM_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan informative_1d["BBU_20_2.0"] = bbands_20_2["BBU_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan informative_1d["BBB_20_2.0"] = bbands_20_2["BBB_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan informative_1d["BBP_20_2.0"] = bbands_20_2["BBP_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan # MFI informative_1d["MFI_14"] = pta.mfi( informative_1d["high"], informative_1d["low"], informative_1d["close"], informative_1d["volume"], length=14 ) # CMF informative_1d["CMF_20"] = pta.cmf( informative_1d["high"], informative_1d["low"], informative_1d["close"], informative_1d["volume"], length=20 ) # Williams %R informative_1d["WILLR_14"] = pta.willr( informative_1d["high"], informative_1d["low"], informative_1d["close"], length=14 ) # AROON aroon_14 = pta.aroon(informative_1d["high"], informative_1d["low"], length=14) informative_1d["AROONU_14"] = aroon_14["AROONU_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan informative_1d["AROOND_14"] = aroon_14["AROOND_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan # Stochastic try: stochrsi = pta.stoch(informative_1d["high"], informative_1d["low"], informative_1d["close"]) informative_1d["STOCHk_14_3_3"] = stochrsi["STOCHk_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan informative_1d["STOCHd_14_3_3"] = stochrsi["STOCHd_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan except AttributeError: informative_1d["STOCHk_14_3_3"] = np.nan informative_1d["STOCHd_14_3_3"] = np.nan # Stochastic RSI stochrsi = pta.stochrsi(informative_1d["close"]) informative_1d["STOCHRSIk_14_14_3_3"] = ( stochrsi["STOCHRSIk_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan ) informative_1d["STOCHRSId_14_14_3_3"] = ( stochrsi["STOCHRSId_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan ) # ROC informative_1d["ROC_2"] = pta.roc(informative_1d["close"], length=2) informative_1d["ROC_9"] = pta.roc(informative_1d["close"], length=9) # Candle change informative_1d["change_pct"] = (informative_1d["close"] - informative_1d["open"]) / informative_1d["open"] * 100.0 # Wicks informative_1d["top_wick_pct"] = ( (informative_1d["high"] - np.maximum(informative_1d["open"], informative_1d["close"])) / np.maximum(informative_1d["open"], informative_1d["close"]) * 100.0 ) informative_1d["bot_wick_pct"] = abs( (informative_1d["low"] - np.minimum(informative_1d["open"], informative_1d["close"])) / np.minimum(informative_1d["open"], informative_1d["close"]) * 100.0 ) # Max highs informative_1d["high_max_6"] = informative_1d["high"].rolling(6).max() informative_1d["high_max_12"] = informative_1d["high"].rolling(12).max() informative_1d["high_max_20"] = informative_1d["high"].rolling(20).max() informative_1d["high_max_30"] = informative_1d["high"].rolling(30).max() # Max lows informative_1d["low_min_6"] = informative_1d["low"].rolling(6).min() informative_1d["low_min_12"] = informative_1d["low"].rolling(12).min() informative_1d["low_min_20"] = informative_1d["low"].rolling(20).min() informative_1d["low_min_30"] = informative_1d["low"].rolling(30).min() # Performance logging # ----------------------------------------------------------------------------------------- tok = time.perf_counter() log.debug(f"[{metadata['pair']}] informative_1d_indicators took: {tok - tik:0.4f} seconds.") return informative_1d # Informative 4h Timeframe Indicators # --------------------------------------------------------------------------------------------- def informative_4h_indicators(self, metadata: dict, info_timeframe) -> DataFrame: tik = time.perf_counter() assert self.dp, "DataProvider is required for multiple timeframes." # Get the informative pair informative_4h = self.dp.get_pair_dataframe(pair=metadata["pair"], timeframe=info_timeframe) # Indicators # ----------------------------------------------------------------------------------------- # informative_4h_indicators_pandas_ta = pta.Strategy( # name="informative_4h_indicators_pandas_ta", # ta=[ # # RSI # {"kind": "rsi", "length": 3}, # {"kind": "rsi", "length": 14}, # # {"kind": "rsi", "length": 20}, # # EMA # {"kind": "ema", "length": 12}, # # {"kind": "ema", "length": 16}, # # {"kind": "ema", "length": 20}, # {"kind": "ema", "length": 26}, # # {"kind": "ema", "length": 50}, # # {"kind": "ema", "length": 100}, # {"kind": "ema", "length": 200}, # # SMA # # {"kind": "sma", "length": 16}, # # BB 20 - STD2 # {"kind": "bbands", "length": 20}, # # MFI # {"kind": "mfi"}, # # CMF # {"kind": "cmf"}, # # Williams %R # {"kind": "willr", "length": 14}, # # CTI # {"kind": "cti", "length": 20}, # # STOCHRSI # {"kind": "stochrsi"}, # # KST # {"kind": "kst"}, # # ROC # {"kind": "roc"}, # # AROON # {"kind": "aroon"}, # # UO # {"kind": "uo"}, # # AO # {"kind": "ao"}, # ], # ) # informative_4h.ta.study(informative_4h_indicators_pandas_ta, cores=self.num_cores_indicators_calc) # RSI informative_4h["RSI_3"] = pta.rsi(informative_4h["close"], length=3) informative_4h["RSI_14"] = pta.rsi(informative_4h["close"], length=14) informative_4h["RSI_3_change_pct"] = ( (informative_4h["RSI_3"] - informative_4h["RSI_3"].shift(1)) / (informative_4h["RSI_3"].shift(1)) ) * 100.0 informative_4h["RSI_14_change_pct"] = ( (informative_4h["RSI_14"] - informative_4h["RSI_14"].shift(1)) / (informative_4h["RSI_14"].shift(1)) ) * 100.0 informative_4h["RSI_3_diff"] = informative_4h["RSI_3"] - informative_4h["RSI_3"].shift(1) informative_4h["RSI_14_diff"] = informative_4h["RSI_14"] - informative_4h["RSI_14"].shift(1) # EMA informative_4h["EMA_12"] = pta.ema(informative_4h["close"], length=12) informative_4h["EMA_200"] = pta.ema(informative_4h["close"], length=200, fillna=0.0) # BB 20 - STD2 bbands_20_2 = pta.bbands(informative_4h["close"], length=20) informative_4h["BBL_20_2.0"] = bbands_20_2["BBL_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan informative_4h["BBM_20_2.0"] = bbands_20_2["BBM_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan informative_4h["BBU_20_2.0"] = bbands_20_2["BBU_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan informative_4h["BBB_20_2.0"] = bbands_20_2["BBB_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan informative_4h["BBP_20_2.0"] = bbands_20_2["BBP_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan # MFI informative_4h["MFI_14"] = pta.mfi( informative_4h["high"], informative_4h["low"], informative_4h["close"], informative_4h["volume"], length=14 ) # CMF informative_4h["CMF_20"] = pta.cmf( informative_4h["high"], informative_4h["low"], informative_4h["close"], informative_4h["volume"], length=20 ) # Williams %R informative_4h["WILLR_14"] = pta.willr( informative_4h["high"], informative_4h["low"], informative_4h["close"], length=14 ) # AROON aroon_14 = pta.aroon(informative_4h["high"], informative_4h["low"], length=14) informative_4h["AROONU_14"] = aroon_14["AROONU_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan informative_4h["AROOND_14"] = aroon_14["AROOND_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan # Stochastic try: stochrsi = pta.stoch(informative_4h["high"], informative_4h["low"], informative_4h["close"]) informative_4h["STOCHk_14_3_3"] = stochrsi["STOCHk_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan informative_4h["STOCHd_14_3_3"] = stochrsi["STOCHd_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan except AttributeError: informative_4h["STOCHk_14_3_3"] = np.nan informative_4h["STOCHd_14_3_3"] = np.nan # Stochastic RSI stochrsi = pta.stochrsi(informative_4h["close"]) informative_4h["STOCHRSIk_14_14_3_3"] = ( stochrsi["STOCHRSIk_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan ) informative_4h["STOCHRSId_14_14_3_3"] = ( stochrsi["STOCHRSId_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan ) informative_4h["STOCHRSIk_14_14_3_3_change_pct"] = ( (informative_4h["STOCHRSIk_14_14_3_3"] - informative_4h["STOCHRSIk_14_14_3_3"].shift(1)) / informative_4h["STOCHRSIk_14_14_3_3"].shift(1) ) * 100.0 # KST kst = pta.kst(informative_4h["close"]) informative_4h["KST_10_15_20_30_10_10_10_15"] = ( kst["KST_10_15_20_30_10_10_10_15"] if isinstance(kst, pd.DataFrame) else np.nan ) informative_4h["KSTs_9"] = kst["KSTs_9"] if isinstance(kst, pd.DataFrame) else np.nan # UO informative_4h["UO_7_14_28"] = pta.uo(informative_4h["high"], informative_4h["low"], informative_4h["close"]) # OBV informative_4h["OBV"] = pta.obv(informative_4h["close"], informative_4h["volume"]) informative_4h["OBV_change_pct"] = ( (informative_4h["OBV"] - informative_4h["OBV"].shift(1)) / abs(informative_4h["OBV"].shift(1)) ) * 100.0 # ROC informative_4h["ROC_2"] = pta.roc(informative_4h["close"], length=2) informative_4h["ROC_9"] = pta.roc(informative_4h["close"], length=9) # CCI informative_4h["CCI_20"] = pta.cci( informative_4h["high"], informative_4h["low"], informative_4h["close"], length=20 ) informative_4h["CCI_20"] = ( (informative_4h["CCI_20"]).astype(np.float64).replace(to_replace=[np.nan, None], value=(0.0)) ) informative_4h["CCI_20_change_pct"] = ( (informative_4h["CCI_20"] - informative_4h["CCI_20"].shift(1)) / abs(informative_4h["CCI_20"].shift(1)) ) * 100.0 # Candle change informative_4h["change_pct"] = (informative_4h["close"] - informative_4h["open"]) / informative_4h["open"] * 100.0 informative_4h["change_pct_min_3"] = informative_4h["change_pct"].rolling(3).min() informative_4h["change_pct_min_6"] = informative_4h["change_pct"].rolling(6).min() informative_4h["change_pct_max_3"] = informative_4h["change_pct"].rolling(3).max() informative_4h["change_pct_max_6"] = informative_4h["change_pct"].rolling(6).max() # Candle change informative_4h["change_pct"] = (informative_4h["close"] - informative_4h["open"]) / informative_4h["open"] * 100.0 # Wicks informative_4h["top_wick_pct"] = ( (informative_4h["high"] - np.maximum(informative_4h["open"], informative_4h["close"])) / np.maximum(informative_4h["open"], informative_4h["close"]) * 100.0 ) informative_4h["bot_wick_pct"] = abs( (informative_4h["low"] - np.minimum(informative_4h["open"], informative_4h["close"])) / np.minimum(informative_4h["open"], informative_4h["close"]) * 100.0 ) # Max highs informative_4h["high_max_6"] = informative_4h["high"].rolling(6).max() informative_4h["high_max_12"] = informative_4h["high"].rolling(12).max() informative_4h["high_max_24"] = informative_4h["high"].rolling(24).max() # Min lows informative_4h["low_min_6"] = informative_4h["low"].rolling(6).min() informative_4h["low_min_12"] = informative_4h["low"].rolling(12).min() informative_4h["low_min_24"] = informative_4h["low"].rolling(24).min() # Performance logging # ----------------------------------------------------------------------------------------- tok = time.perf_counter() log.debug(f"[{metadata['pair']}] informative_1d_indicators took: {tok - tik:0.4f} seconds.") return informative_4h # Informative 1h Timeframe Indicators # --------------------------------------------------------------------------------------------- def informative_1h_indicators(self, metadata: dict, info_timeframe) -> DataFrame: tik = time.perf_counter() assert self.dp, "DataProvider is required for multiple timeframes." # Get the informative pair informative_1h = self.dp.get_pair_dataframe(pair=metadata["pair"], timeframe=info_timeframe) # Indicators # ----------------------------------------------------------------------------------------- # informative_1h_indicators_pandas_ta = pta.Strategy( # name="informative_1h_indicators_pandas_ta", # ta=[ # # RSI # {"kind": "rsi", "length": 3}, # {"kind": "rsi", "length": 14}, # # {"kind": "rsi", "length": 20}, # # EMA # {"kind": "ema", "length": 12}, # # {"kind": "ema", "length": 16}, # {"kind": "ema", "length": 20}, # {"kind": "ema", "length": 26}, # # {"kind": "ema", "length": 50}, # # {"kind": "ema", "length": 100}, # {"kind": "ema", "length": 200}, # # SMA # # {"kind": "sma", "length": 16}, # # BB 20 - STD2 # {"kind": "bbands", "length": 20}, # # MFI # {"kind": "mfi"}, # # CMF # {"kind": "cmf"}, # # Williams %R # {"kind": "willr", "length": 14}, # # CTI # {"kind": "cti", "length": 20}, # # STOCHRSI # {"kind": "stochrsi"}, # # KST # {"kind": "kst"}, # # ROC # {"kind": "roc"}, # # AROON # {"kind": "aroon"}, # # UO # {"kind": "uo"}, # # AO # {"kind": "ao"}, # ], # ) # informative_1h.ta.study(informative_1h_indicators_pandas_ta, cores=self.num_cores_indicators_calc) # RSI informative_1h["RSI_3"] = pta.rsi(informative_1h["close"], length=3) informative_1h["RSI_14"] = pta.rsi(informative_1h["close"], length=14) informative_1h["RSI_3_change_pct"] = ( (informative_1h["RSI_3"] - informative_1h["RSI_3"].shift(1)) / (informative_1h["RSI_3"].shift(1)) ) * 100.0 informative_1h["RSI_14_change_pct"] = ( (informative_1h["RSI_14"] - informative_1h["RSI_14"].shift(1)) / (informative_1h["RSI_14"].shift(1)) ) * 100.0 informative_1h["RSI_3_diff"] = informative_1h["RSI_3"] - informative_1h["RSI_3"].shift(1) informative_1h["RSI_14_diff"] = informative_1h["RSI_14"] - informative_1h["RSI_14"].shift(1) # EMA informative_1h["EMA_12"] = pta.ema(informative_1h["close"], length=12) informative_1h["EMA_200"] = pta.ema(informative_1h["close"], length=200, fillna=0.0) # BB 20 - STD2 bbands_20_2 = pta.bbands(informative_1h["close"], length=20) informative_1h["BBL_20_2.0"] = bbands_20_2["BBL_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan informative_1h["BBM_20_2.0"] = bbands_20_2["BBM_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan informative_1h["BBU_20_2.0"] = bbands_20_2["BBU_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan informative_1h["BBB_20_2.0"] = bbands_20_2["BBB_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan informative_1h["BBP_20_2.0"] = bbands_20_2["BBP_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan # MFI informative_1h["MFI_14"] = pta.mfi( informative_1h["high"], informative_1h["low"], informative_1h["close"], informative_1h["volume"], length=14 ) # CMF informative_1h["CMF_20"] = pta.cmf( informative_1h["high"], informative_1h["low"], informative_1h["close"], informative_1h["volume"], length=20 ) # Williams %R informative_1h["WILLR_14"] = pta.willr( informative_1h["high"], informative_1h["low"], informative_1h["close"], length=14 ) informative_1h["WILLR_84"] = pta.willr( informative_1h["high"], informative_1h["low"], informative_1h["close"], length=84 ) # AROON aroon_14 = pta.aroon(informative_1h["high"], informative_1h["low"], length=14) informative_1h["AROONU_14"] = aroon_14["AROONU_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan informative_1h["AROOND_14"] = aroon_14["AROOND_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan # Stochastic stochrsi = pta.stoch(informative_1h["high"], informative_1h["low"], informative_1h["close"]) informative_1h["STOCHk_14_3_3"] = stochrsi["STOCHk_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan informative_1h["STOCHd_14_3_3"] = stochrsi["STOCHd_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan # Stochastic RSI stochrsi = pta.stochrsi(informative_1h["close"]) informative_1h["STOCHRSIk_14_14_3_3"] = ( stochrsi["STOCHRSIk_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan ) informative_1h["STOCHRSId_14_14_3_3"] = ( stochrsi["STOCHRSId_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan ) # KST kst = pta.kst(informative_1h["close"]) informative_1h["KST_10_15_20_30_10_10_10_15"] = ( kst["KST_10_15_20_30_10_10_10_15"] if isinstance(kst, pd.DataFrame) else np.nan ) informative_1h["KSTs_9"] = kst["KSTs_9"] if isinstance(kst, pd.DataFrame) else np.nan # UO informative_1h["UO_7_14_28"] = pta.uo(informative_1h["high"], informative_1h["low"], informative_1h["close"]) informative_1h["UO_7_14_28"] = ( (informative_1h["UO_7_14_28"]).astype(np.float64).replace(to_replace=[np.nan, None], value=(50.0)) ) informative_1h["UO_7_14_28_change_pct"] = ( (informative_1h["UO_7_14_28"] - informative_1h["UO_7_14_28"].shift(1)) / abs(informative_1h["UO_7_14_28"].shift(1)) ) * 100.0 # OBV informative_1h["OBV"] = pta.obv(informative_1h["close"], informative_1h["volume"]) informative_1h["OBV_change_pct"] = ( (informative_1h["OBV"] - informative_1h["OBV"].shift(1)) / abs(informative_1h["OBV"].shift(1)) ) * 100.0 # ROC informative_1h["ROC_2"] = pta.roc(informative_1h["close"], length=2) informative_1h["ROC_9"] = pta.roc(informative_1h["close"], length=9) # CCI informative_1h["CCI_20"] = pta.cci( informative_1h["high"], informative_1h["low"], informative_1h["close"], length=20 ) informative_1h["CCI_20"] = ( (informative_1h["CCI_20"]).astype(np.float64).replace(to_replace=[np.nan, None], value=(0.0)) ) informative_1h["CCI_20_change_pct"] = ( (informative_1h["CCI_20"] - informative_1h["CCI_20"].shift(1)) / abs(informative_1h["CCI_20"].shift(1)) ) * 100.0 # Candle change informative_1h["change_pct"] = (informative_1h["close"] - informative_1h["open"]) / informative_1h["open"] * 100.0 # Wicks informative_1h["top_wick_pct"] = ( (informative_1h["high"] - np.maximum(informative_1h["open"], informative_1h["close"])) / np.maximum(informative_1h["open"], informative_1h["close"]) * 100.0 ) informative_1h["bot_wick_pct"] = abs( (informative_1h["low"] - np.minimum(informative_1h["open"], informative_1h["close"])) / np.minimum(informative_1h["open"], informative_1h["close"]) * 100.0 ) # Max highs informative_1h["high_max_6"] = informative_1h["high"].rolling(6).max() informative_1h["high_max_12"] = informative_1h["high"].rolling(12).max() informative_1h["high_max_24"] = informative_1h["high"].rolling(24).max() # Min lows informative_1h["low_min_6"] = informative_1h["low"].rolling(6).min() informative_1h["low_min_12"] = informative_1h["low"].rolling(12).min() informative_1h["low_min_24"] = informative_1h["low"].rolling(24).min() # Performance logging # ----------------------------------------------------------------------------------------- tok = time.perf_counter() log.debug(f"[{metadata['pair']}] informative_1h_indicators took: {tok - tik:0.4f} seconds.") return informative_1h # Informative 15m Timeframe Indicators # --------------------------------------------------------------------------------------------- def informative_15m_indicators(self, metadata: dict, info_timeframe) -> DataFrame: tik = time.perf_counter() assert self.dp, "DataProvider is required for multiple timeframes." # Get the informative pair informative_15m = self.dp.get_pair_dataframe(pair=metadata["pair"], timeframe=info_timeframe) # Indicators # ----------------------------------------------------------------------------------------- # informative_15m_indicators_pandas_ta = pta.Strategy( # name="informative_15m_indicators_pandas_ta", # ta=[ # # RSI # {"kind": "rsi", "length": 3}, # {"kind": "rsi", "length": 14}, # # {"kind": "rsi", "length": 20}, # # EMA # {"kind": "ema", "length": 12}, # # {"kind": "ema", "length": 16}, # # {"kind": "ema", "length": 20}, # # {"kind": "ema", "length": 26}, # # {"kind": "ema", "length": 50}, # # {"kind": "ema", "length": 100}, # # {"kind": "ema", "length": 200}, # # SMA # # {"kind": "sma", "length": 16}, # # BB 20 - STD2 # {"kind": "bbands", "length": 20}, # # Williams %R # {"kind": "willr", "length": 14}, # # CTI # {"kind": "cti", "length": 20}, # # STOCHRSI # {"kind": "stochrsi"}, # # ROC # {"kind": "roc"}, # # AROON # {"kind": "aroon"}, # # UO # {"kind": "uo"}, # # AO # {"kind": "ao"}, # ], # ) # informative_15m.ta.study(informative_15m_indicators_pandas_ta, cores=self.num_cores_indicators_calc) # RSI informative_15m["RSI_3"] = pta.rsi(informative_15m["close"], length=3) informative_15m["RSI_14"] = pta.rsi(informative_15m["close"], length=14) informative_15m["RSI_3_change_pct"] = ( (informative_15m["RSI_3"] - informative_15m["RSI_3"].shift(1)) / (informative_15m["RSI_3"].shift(1)) ) * 100.0 informative_15m["RSI_14_change_pct"] = ( (informative_15m["RSI_14"] - informative_15m["RSI_14"].shift(1)) / (informative_15m["RSI_14"].shift(1)) ) * 100.0 # MFI informative_15m["MFI_14"] = pta.mfi( informative_15m["high"], informative_15m["low"], informative_15m["close"], informative_15m["volume"], length=14 ) # CMF informative_15m["CMF_20"] = pta.cmf( informative_15m["high"], informative_15m["low"], informative_15m["close"], informative_15m["volume"], length=20 ) # Williams %R informative_15m["WILLR_14"] = pta.willr( informative_15m["high"], informative_15m["low"], informative_15m["close"], length=14 ) # AROON aroon_14 = pta.aroon(informative_15m["high"], informative_15m["low"], length=14) informative_15m["AROONU_14"] = aroon_14["AROONU_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan informative_15m["AROOND_14"] = aroon_14["AROOND_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan # Stochastic stochrsi = pta.stoch(informative_15m["high"], informative_15m["low"], informative_15m["close"]) informative_15m["STOCHk_14_3_3"] = stochrsi["STOCHk_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan informative_15m["STOCHd_14_3_3"] = stochrsi["STOCHd_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan # Stochastic RSI stochrsi = pta.stochrsi(informative_15m["close"]) informative_15m["STOCHRSIk_14_14_3_3"] = ( stochrsi["STOCHRSIk_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan ) informative_15m["STOCHRSId_14_14_3_3"] = ( stochrsi["STOCHRSId_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan ) # UO informative_15m["UO_7_14_28"] = pta.uo(informative_15m["high"], informative_15m["low"], informative_15m["close"]) informative_15m["UO_7_14_28_change_pct"] = ( informative_15m["UO_7_14_28"] - informative_15m["UO_7_14_28"].shift(1) ) * 100.0 # OBV informative_15m["OBV"] = pta.obv(informative_15m["close"], informative_15m["volume"]) informative_15m["OBV_change_pct"] = ( (informative_15m["OBV"] - informative_15m["OBV"].shift(1)) / abs(informative_15m["OBV"].shift(1)) ) * 100.0 # ROC informative_15m["ROC_9"] = pta.roc(informative_15m["close"], length=9) # CCI informative_15m["CCI_20"] = pta.cci( informative_15m["high"], informative_15m["low"], informative_15m["close"], length=20 ) informative_15m["CCI_20"] = ( (informative_15m["CCI_20"]).astype(np.float64).replace(to_replace=[np.nan, None], value=(0.0)) ) informative_15m["CCI_20_change_pct"] = ( (informative_15m["CCI_20"] - informative_15m["CCI_20"].shift(1)) / abs(informative_15m["CCI_20"].shift(1)) ) * 100.0 # Candle change informative_15m["change_pct"] = ( (informative_15m["close"] - informative_15m["open"]) / informative_15m["open"] * 100.0 ) # Performance logging # ----------------------------------------------------------------------------------------- tok = time.perf_counter() log.debug(f"[{metadata['pair']}] informative_15m_indicators took: {tok - tik:0.4f} seconds.") return informative_15m # Coin Pair Base Timeframe Indicators # --------------------------------------------------------------------------------------------- def base_tf_5m_indicators(self, metadata: dict, df: DataFrame) -> DataFrame: tik = time.perf_counter() # Indicators # base_tf_5m_indicators_pandas_ta = pta.Strategy( # name="base_tf_5m_indicators_pandas_ta", # ta=[ # # RSI # {"kind": "rsi", "length": 3}, # {"kind": "rsi", "length": 4}, # {"kind": "rsi", "length": 14}, # {"kind": "rsi", "length": 20}, # # EMA # {"kind": "ema", "length": 3}, # {"kind": "ema", "length": 9}, # {"kind": "ema", "length": 12}, # {"kind": "ema", "length": 16}, # {"kind": "ema", "length": 20}, # {"kind": "ema", "length": 26}, # {"kind": "ema", "length": 50}, # {"kind": "ema", "length": 100}, # {"kind": "ema", "length": 200}, # # SMA # {"kind": "sma", "length": 16}, # {"kind": "sma", "length": 30}, # {"kind": "sma", "length": 75}, # {"kind": "sma", "length": 200}, # # BB 20 - STD2 # {"kind": "bbands", "length": 20}, # # BB 40 - STD2 # {"kind": "bbands", "length": 40}, # # Williams %R # {"kind": "willr", "length": 14}, # {"kind": "willr", "length": 480}, # # CTI # {"kind": "cti", "length": 20}, # # MFI # {"kind": "mfi"}, # # CMF # {"kind": "cmf"}, # # CCI # {"kind": "cci", "length": 20}, # # Hull Moving Average # {"kind": "hma", "length": 55}, # {"kind": "hma", "length": 70}, # # ZL MA # # {"kind": "zlma", "length": 50, "mamode":"linreg"}, # # Heiken Ashi # # {"kind": "ha"}, # # STOCHRSI # {"kind": "stochrsi"}, # # KST # {"kind": "kst"}, # # ROC # {"kind": "roc"}, # # AROON # {"kind": "aroon"}, # # UO # {"kind": "uo"}, # # AO # {"kind": "ao"}, # # OBV # {"kind": "obv"}, # ], # ) # df.ta.study(base_tf_5m_indicators_pandas_ta, cores=self.num_cores_indicators_calc) # RSI df["RSI_3"] = pta.rsi(df["close"], length=3) df["RSI_4"] = pta.rsi(df["close"], length=4) df["RSI_14"] = pta.rsi(df["close"], length=14) df["RSI_20"] = pta.rsi(df["close"], length=20) df["RSI_3_change_pct"] = ((df["RSI_3"] - df["RSI_3"].shift(1)) / (df["RSI_3"].shift(1))) * 100.0 df["RSI_14_change_pct"] = ((df["RSI_14"] - df["RSI_14"].shift(1)) / (df["RSI_14"].shift(1))) * 100.0 # EMA df["EMA_3"] = pta.ema(df["close"], length=3) df["EMA_9"] = pta.ema(df["close"], length=9) df["EMA_12"] = pta.ema(df["close"], length=12) df["EMA_16"] = pta.ema(df["close"], length=16) df["EMA_20"] = pta.ema(df["close"], length=20) df["EMA_26"] = pta.ema(df["close"], length=26) df["EMA_50"] = pta.ema(df["close"], length=50) df["EMA_200"] = pta.ema(df["close"], length=200, fillna=0.0) # SMA df["SMA_16"] = pta.sma(df["close"], length=16) df["SMA_30"] = pta.sma(df["close"], length=30) # BB 20 - STD2 bbands_20_2 = pta.bbands(df["close"], length=20) df["BBL_20_2.0"] = bbands_20_2["BBL_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan df["BBM_20_2.0"] = bbands_20_2["BBM_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan df["BBU_20_2.0"] = bbands_20_2["BBU_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan df["BBB_20_2.0"] = bbands_20_2["BBB_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan df["BBP_20_2.0"] = bbands_20_2["BBP_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan # MFI df["MFI_14"] = pta.mfi(df["high"], df["low"], df["close"], df["volume"], length=14) # CMF df["CMF_20"] = pta.cmf(df["high"], df["low"], df["close"], df["volume"], length=20) # Williams %R df["WILLR_14"] = pta.willr(df["high"], df["low"], df["close"], length=14) df["WILLR_480"] = pta.willr(df["high"], df["low"], df["close"], length=480) # AROON aroon_14 = pta.aroon(df["high"], df["low"], length=14) df["AROONU_14"] = aroon_14["AROONU_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan df["AROOND_14"] = aroon_14["AROOND_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan # Stochastic RSI stochrsi = pta.stochrsi(df["close"]) df["STOCHRSIk_14_14_3_3"] = stochrsi["STOCHRSIk_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan df["STOCHRSId_14_14_3_3"] = stochrsi["STOCHRSId_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan # KST kst = pta.kst(df["close"]) df["KST_10_15_20_30_10_10_10_15"] = kst["KST_10_15_20_30_10_10_10_15"] if isinstance(kst, pd.DataFrame) else np.nan df["KSTs_9"] = kst["KSTs_9"] if isinstance(kst, pd.DataFrame) else np.nan # OBV df["OBV"] = pta.obv(df["close"], df["volume"]) df["OBV_change_pct"] = ((df["OBV"] - df["OBV"].shift(1)) / abs(df["OBV"].shift(1))) * 100.0 # ROC df["ROC_2"] = pta.roc(df["close"], length=2) df["ROC_9"] = pta.roc(df["close"], length=9) # Candle change df["change_pct"] = (df["close"] - df["open"]) / df["open"] * 100.0 # Close max df["close_max_12"] = df["close"].rolling(12).max() df["close_max_48"] = df["close"].rolling(48).max() # Close min df["close_min_12"] = df["close"].rolling(12).min() df["close_min_48"] = df["close"].rolling(48).min() # Number of empty candles df["num_empty_288"] = (df["volume"] <= 0).rolling(window=288, min_periods=288).sum() # ----------------------------------------------------------------------------------------- # Global protections # ----------------------------------------------------------------------------------------- if not self.config["runmode"].value in ("live", "dry_run"): # Backtest age filter df["bt_agefilter_ok"] = False df.loc[df.index > (12 * 24 * self.bt_min_age_days), "bt_agefilter_ok"] = True else: # Exchange downtime protection df["live_data_ok"] = df["volume"].rolling(window=72, min_periods=72).min() > 0 # Performance logging # ----------------------------------------------------------------------------------------- tok = time.perf_counter() log.debug(f"[{metadata['pair']}] base_tf_5m_indicators took: {tok - tik:0.4f} seconds.") return df # Coin Pair Indicator Switch Case # --------------------------------------------------------------------------------------------- def info_switcher(self, metadata: dict, info_timeframe) -> DataFrame: if info_timeframe == "1d": return self.informative_1d_indicators(metadata, info_timeframe) elif info_timeframe == "4h": return self.informative_4h_indicators(metadata, info_timeframe) elif info_timeframe == "1h": return self.informative_1h_indicators(metadata, info_timeframe) elif info_timeframe == "15m": return self.informative_15m_indicators(metadata, info_timeframe) else: raise RuntimeError(f"{info_timeframe} not supported as informative timeframe for BTC pair.") # BTC 1D Indicators # --------------------------------------------------------------------------------------------- def btc_info_1d_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame: tik = time.perf_counter() btc_info_1d = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe) # Indicators # ----------------------------------------------------------------------------------------- # btc_info_1d_indicators_pandas_ta = pta.Strategy( # name="btc_info_1d_indicators_pandas_ta", # ta=[ # # RSI # # {"kind": "rsi", "length": 3}, # {"kind": "rsi", "length": 14}, # # {"kind": "rsi", "length": 20}, # # EMA # # {"kind": "ema", "length": 12}, # # {"kind": "ema", "length": 16}, # # {"kind": "ema", "length": 20}, # # {"kind": "ema", "length": 26}, # # {"kind": "ema", "length": 50}, # # {"kind": "ema", "length": 100}, # # {"kind": "ema", "length": 200}, # # SMA # # {"kind": "sma", "length": 16}, # ], # ) # btc_info_1d.ta.study(btc_info_1d_indicators_pandas_ta, cores=self.num_cores_indicators_calc) # Add prefix # ----------------------------------------------------------------------------------------- ignore_columns = ["date"] btc_info_1d.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) tok = time.perf_counter() log.debug(f"[{metadata['pair']}] btc_info_1d_indicators took: {tok - tik:0.4f} seconds.") return btc_info_1d # BTC 4h Indicators # --------------------------------------------------------------------------------------------- def btc_info_4h_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame: tik = time.perf_counter() btc_info_4h = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe) # Indicators # ----------------------------------------------------------------------------------------- # Add prefix # ----------------------------------------------------------------------------------------- ignore_columns = ["date"] btc_info_4h.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) tok = time.perf_counter() log.debug(f"[{metadata['pair']}] btc_info_4h_indicators took: {tok - tik:0.4f} seconds.") return btc_info_4h # BTC 1h Indicators # --------------------------------------------------------------------------------------------- def btc_info_1h_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame: tik = time.perf_counter() btc_info_1h = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe) # Indicators # ----------------------------------------------------------------------------------------- # Add prefix # ----------------------------------------------------------------------------------------- ignore_columns = ["date"] btc_info_1h.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) tok = time.perf_counter() log.debug(f"[{metadata['pair']}] btc_info_1h_indicators took: {tok - tik:0.4f} seconds.") return btc_info_1h # BTC 15m Indicators # --------------------------------------------------------------------------------------------- def btc_info_15m_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame: tik = time.perf_counter() btc_info_15m = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe) # Indicators # ----------------------------------------------------------------------------------------- # Add prefix # ----------------------------------------------------------------------------------------- ignore_columns = ["date"] btc_info_15m.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) tok = time.perf_counter() log.debug(f"[{metadata['pair']}] btc_info_15m_indicators took: {tok - tik:0.4f} seconds.") return btc_info_15m # BTC 5m Indicators # --------------------------------------------------------------------------------------------- def btc_info_5m_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame: tik = time.perf_counter() btc_info_5m = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe) # Indicators # ----------------------------------------------------------------------------------------- # Add prefix # ----------------------------------------------------------------------------------------- ignore_columns = ["date"] btc_info_5m.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) tok = time.perf_counter() log.debug(f"[{metadata['pair']}] btc_info_5m_indicators took: {tok - tik:0.4f} seconds.") return btc_info_5m # BTC Indicator Switch Case # --------------------------------------------------------------------------------------------- def btc_info_switcher(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame: if btc_info_timeframe == "1d": return self.btc_info_1d_indicators(btc_info_pair, btc_info_timeframe, metadata) elif btc_info_timeframe == "4h": return self.btc_info_4h_indicators(btc_info_pair, btc_info_timeframe, metadata) elif btc_info_timeframe == "1h": return self.btc_info_1h_indicators(btc_info_pair, btc_info_timeframe, metadata) elif btc_info_timeframe == "15m": return self.btc_info_15m_indicators(btc_info_pair, btc_info_timeframe, metadata) elif btc_info_timeframe == "5m": return self.btc_info_5m_indicators(btc_info_pair, btc_info_timeframe, metadata) else: raise RuntimeError(f"{btc_info_timeframe} not supported as informative timeframe for BTC pair.") # Populate Indicators # --------------------------------------------------------------------------------------------- def populate_indicators(self, df: DataFrame, metadata: dict) -> DataFrame: tik = time.perf_counter() """ --> BTC informative indicators ___________________________________________________________________________________________ """ if self.config["stake_currency"] in [ "USDT", "BUSD", "USDC", "DAI", "TUSD", "FDUSD", "PAX", "USD", "EUR", "GBP", "TRY", ]: if ("trading_mode" in self.config) and (self.config["trading_mode"] in ["futures", "margin"]): btc_info_pair = f"BTC/{self.config['stake_currency']}:{self.config['stake_currency']}" else: btc_info_pair = f"BTC/{self.config['stake_currency']}" else: if ("trading_mode" in self.config) and (self.config["trading_mode"] in ["futures", "margin"]): btc_info_pair = "BTC/USDT:USDT" else: btc_info_pair = "BTC/USDT" for btc_info_timeframe in self.btc_info_timeframes: btc_informative = self.btc_info_switcher(btc_info_pair, btc_info_timeframe, metadata) df = merge_informative_pair(df, btc_informative, self.timeframe, btc_info_timeframe, ffill=True) # Customize what we drop - in case we need to maintain some BTC informative ohlcv data # Default drop all drop_columns = { "1d": [f"btc_{s}_{btc_info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]], "4h": [f"btc_{s}_{btc_info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]], "1h": [f"btc_{s}_{btc_info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]], "15m": [f"btc_{s}_{btc_info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]], "5m": [f"btc_{s}_{btc_info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]], }.get( btc_info_timeframe, [f"{s}_{btc_info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]], ) drop_columns.append(f"date_{btc_info_timeframe}") df.drop(columns=df.columns.intersection(drop_columns), inplace=True) """ --> Indicators on informative timeframes ___________________________________________________________________________________________ """ for info_timeframe in self.info_timeframes: info_indicators = self.info_switcher(metadata, info_timeframe) df = merge_informative_pair(df, info_indicators, self.timeframe, info_timeframe, ffill=True) # Customize what we drop - in case we need to maintain some informative timeframe ohlcv data # Default drop all except base timeframe ohlcv data drop_columns = { "1d": [f"{s}_{info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]], "4h": [f"{s}_{info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]], "1h": [f"{s}_{info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]], "15m": [f"{s}_{info_timeframe}" for s in ["date", "high", "low", "volume"]], }.get(info_timeframe, [f"{s}_{info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]]) df.drop(columns=df.columns.intersection(drop_columns), inplace=True) """ --> The indicators for the base timeframe (5m) ___________________________________________________________________________________________ """ df = self.base_tf_5m_indicators(metadata, df) # df["zlma_50_1h"] = df["zlma_50_1h"].astype(np.float64).replace(to_replace=[np.nan, None], value=(0.0)) # df["CTI_20_1d"] = df["CTI_20_1d"].astype(np.float64).replace(to_replace=[np.nan, None], value=(0.0)) # df["WILLR_480_1h"] = df["WILLR_480_1h"].astype(np.float64).replace(to_replace=[np.nan, None], value=(-50.0)) # df["WILLR_480_4h"] = df["WILLR_480_4h"].astype(np.float64).replace(to_replace=[np.nan, None], value=(-50.0)) # df["RSI_14_1d"] = df["RSI_14_1d"].astype(np.float64).replace(to_replace=[np.nan, None], value=(50.0)) df["RSI_14_1h"] = df["RSI_14_1h"].astype(np.float64).replace(to_replace=[np.nan, None], value=(50.0)) # Global protections Long df["protections_long_global"] = True df["global_protections_long_pump"] = ( # 5m & 15m & 4h down move, 5m & 4h still not low enough, 1d high & overbought ( (df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 30.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14"] < 25.0) | (df["WILLR_14_4h"] < -75.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 40.0) ) # 5m & 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d overbought & ( (df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 25.0) | (df["RSI_14_1h"] < 30.0) | (df["RSI_14_4h"] < 40.0) | (df["WILLR_14_4h"] < -95.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 30.0) ) # 5m & 4h down move, 15m high, 1h & 4h stil high, 1d high & ( (df["RSI_3"] > 10.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_14_15m"] < 50.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) ) # 15m & 1h down move, 15m & 1h still not low enough, 4h & 1d stil high & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 60.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHk_14_3_3_4h"] < 80.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 75.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -500.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 70.0) | (df["ROC_9_1d"] < 15.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 60.0) | (df["ROC_9_1d"] < 30.0) ) # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h & 1d still high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_14_15m"] < 5.0) | (df["CCI_20_15m"] < -500.0) | (df["RSI_14_1h"] < 10.0) | (df["WILLR_14_1h"] < -95.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 45.0) | (df["WILLR_14_4h"] < -80.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still now low enough, 1d still high & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 10.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -500.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 25.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -400.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 25.0) | (df["CCI_20_4h"] < -250.0) ) # 15m & 1h down move, 15m & 1h still high, 4h & 1d high & overbought & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_14_15m"] < 30.0) | (df["RSI_14_1h"] < 40.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 50.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -300.0) | (df["RSI_14_4h"] < 45.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 25.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -150.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHk_14_3_3_4h"] < 20.0) | (df["ROC_9_1d"] < 25.0) ) # 15m & 1h down move, 15m ^ 1h still not low enough, 4h & 1d still high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d high & overbought & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_14_15m"] < 30.0) | (df["RSI_14_1h"] < 30.0) | (df["RSI_14_4h"] < 35.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) | (df["ROC_9_1d"] < 40.0) ) # 15m down move, 15m & 1h & 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 30.0) ) # 15m & 1h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 45.0) | (df["AROONU_14_1d"] < 50.0) | (df["ROC_9_1d"] < 20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h still high, 1d still high & overbought & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -250.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 40.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_14_15m"] < 20.0) | (df["CMF_20_15m"] < -0.40) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 20.0) | (df["CMF_20_1h"] < -0.35) | (df["CCI_20_1h"] < -350.0) | (df["RSI_14_4h"] < 30.0) | (df["CMF_20_4h"] < -0.10) | (df["CCI_20_4h"] < -300.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 15.0) | (df["RSI_14_1h"] < 35.0) | (df["WILLR_14_1h"] < -85.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 40.0) | (df["WILLR_14_4h"] < -85.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 25.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 20.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 20.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 30.0) | (df["WILLR_14_1h"] < -90.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 40.0) | (df["WILLR_14_4h"] < -90.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -150.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 40.0) ) # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 1d stil high & overbought & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 45.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHk_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 50.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 30.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 25.0) | (df["CCI_20_1h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 25.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 1h down move, 15m & 1h still not low enough, 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 25.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 25.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHk_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 40.0) ) # 15m & 1h down move, 15m & 1h still high, 4h high & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 70.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 250.0) ) # 15m & 1h & 4h down move, 15m & 1h still now low enough, 4h still high & overbought & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 45.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHk_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHk_14_3_3_4h"] < 30.0) | (df["ROC_9_4h"] < 80.0) ) # 15m & 1h & 1d down move, 15m still not low enough, 1h & 4h still high, 1d still high & overbought & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHk_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 15.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_14_15m"] < 25.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 35.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 30.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d high & overbought & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_14_15m"] < 20.0) | (df["CMF_20_15m"] > -0.25) | (df["CCI_20_15m"] < -350.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -350.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 35.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -300.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) | (df["ROC_9_1d"] < 10.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHk_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 20.0) ) # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h & 1d still high & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 25.0) | (df["CCI_20_1h"] < -400.0) | (df["STOCHk_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHk_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) ) # 15m & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 25.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 30.0) ) # 15m & 1h down move, 15m & 1h still not low enough, 4h still high, 1d still high & overbought & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_14_15m"] < 10.0) | (df["CMF_20_15m"] > -0.20) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 15.0) ) # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 1d still high & overbought & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHk_14_3_3_4h"] < 40.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 40.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 35.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 30.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 65.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -300.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHk_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHk_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 20.0) ) # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h stil high, 1d still high & overbought & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 35.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 60.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 25.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 20.0) | (df["ROC_9_1d"] < 50.0) | (df["close"] > (df["high_max_6_1d"] * 0.55)) | (df["close"] < (df["low_min_12_1d"] * 1.20)) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -250.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 50.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still not low enough & overbought & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_14_15m"] < 15.0) | (df["MFI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 30.0) | (df["MFI_14_1h"] < 30.0) | (df["WILLR_14_1h"] < -90.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 30.0) | (df["CMF_20_4h"] < 0.10) | (df["MFI_14_4h"] < 50.0) | (df["WILLR_14_4h"] < -85.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 20.0) | (df["ROC_9_1d"] < 15.0) ) # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1d still high & overbought & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 65.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 25.0) ) # 15m & 1d down move, 15m & 1h still high, 4h high & overbought, 1d still not low enough & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHk_14_3_3_15m"] < 30.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -0.0) | (df["STOCHk_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHk_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 15.0) | (df["RSI_14_1d"] < 40.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_3_1d"] > 65.0) | (df["RSI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -450.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 5.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -450.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -300.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 40.0) | (df["WILLR_14_1d"] < -50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 25.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d high & overbought & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_14_15m"] < 30.0) | (df["RSI_14_1h"] < 40.0) | (df["RSI_14_4h"] < 50.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 200.0) ) # 15m & 1h down move, 15m still not low enough, 1h & 4h high & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 25.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHk_14_3_3_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHk_14_3_3_4h"] < 50.0) ) # 15m & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & overbought & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 35.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 45.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 20.0) | (df["ROC_9_1d"] < 20.0) ) # 15m & 1d down move, 15m still not low enough, 1h & 4h still high, 1h still high & overbought & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 45.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 45.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 10.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d high & overbought & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 35.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 40.0) | (df["STOCHk_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 200.0) ) # 15m & 1h down move, 15m & 1h still not low enough, 4h & 1d high & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 25.0) | (df["RSI_14_1h"] < 45.0) | (df["RSI_14_4h"] < 70.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) ) # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 20.0) | (df["RSI_14_1h"] < 40.0) | (df["RSI_14_4h"] < 60.0) | (df["AROONU_14_4h"] < 50.0) | (df["RSI_14_1d"] < 80.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 40.0) ) # 15m & 1h down move, 15m & 1h still not low enough, 4h still high & overbought & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -250.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 25.0) | (df["STOCHk_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHk_14_3_3_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_4h"] < 40.0) ) # 15m & 4h down move, 15m & 1h still not low enough, 4h still not low enough & downtrend, 1d high & overbought & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 20.0) | (df["MFI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 30.0) | (df["MFI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -300.0) | (df["RSI_14_4h"] < 45.0) | (df["MFI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -100.0) | (df["ROC_9_4h"] > -10.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 1h & 4h down move, 1h still not low enough, 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_1h"] < 40.0) | (df["RSI_14_4h"] < 60.0) | (df["RSI_14_1d"] < 80.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 200.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d high & overbought & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 80.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 4h down move, 15m & 1h & 4h still high, 1d high & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHk_14_3_3_4h"] < 40.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) ) # 15m & 1h & 4h down move, 15m still not low enough, 1h still not low enough & downtrend, 4h & 1d still high & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -400.0) | (df["AROONU_14_15m"] < 50.0) | (df["RSI_14_1h"] < 25.0) | (df["WILLR_14_1h"] < -95.0) | (df["CCI_20_1h"] < -400.0) | (df["ROC_2_1h"] > -5.0) | (df["RSI_14_4h"] < 40.0) | (df["WILLR_14_4h"] < -95.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHk_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 75.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d high & overbought & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 25.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 40.0) ) # 15m & 1h & 4h down move, 1h & 4h still not low enough, 1d high & overbought & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 25.0) | (df["RSI_14_4h"] < 50.0) | (df["WILLR_14_4h"] < -80.0) | (df["AROONU_14_4h"] < 25.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 1h down move, 15m & 1h still not low enough, 4h still high, 1h high & overbought & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_14_15m"] < 30.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 50.0) | (df["STOCHk_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 70.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["CMF_20_15m"] < -0.35) | (df["RSI_14_1h"] < 35.0) | (df["CMF_20_1h"] < -0.25) | (df["AROONU_14_1h"] < 25.0) | (df["RSI_14_4h"] < 40.0) | (df["CMF_20_4h"] < -0.25) | (df["RSI_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 4h & 1d down move, 15m & 1h & 1d still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 45.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHk_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 45.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 30.0) | (df["ROC_9_1d"] < 30.0) ) # 15m & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 15.0) | (df["WILLR_14_15m"] < -90.0) | (df["CCI_20_15m"] < -450.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 25.0) | (df["WILLR_14_1h"] < -90.0) | (df["CCI_20_1h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 35.0) | (df["AROONU_14_4h"] < 25.0) | (df["WILLR_14_1h"] < -90.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 35.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHk_14_3_3_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 50.0) | (df["RSI_14_1d"] < 80.0) | (df["ROC_9_1d"] < 80.0) ) # 15m down move, 15m & 1h still high, 4h high & overbought, 1d high & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 50.0) | (df["RSI_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) ) # 15m & 1h down move, 1h still high, 4h high, 1h & 4h overbought & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1h"] < 15.0) | (df["ROC_9_4h"] < 25.0) ) # 15m down move, 15m still not low enough, 1h high, 4h still not low enough, 1d high & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 25.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) ) # 15m down move, 15m & 1h still not low enough, 4h high, 1d high & overbought & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_14_15m"] < 30.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 25.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 85.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["RSI_14_1d"] < 85.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h & 1d still high & overbought & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_4h"] < 25.0) | (df["RSI_14_1d"] < 75.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 25.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 75.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 200.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, drop in last 6 days & still high & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -150.0) | (df["close"] > (df["high_max_24_4h"] * 0.30)) | (df["close"] < (df["low_min_24_4h"] * 1.20)) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 35.0) | (df["CCI_20_4h"] < -150.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0) | (df["ROC_9_1d"] < 20.0) ) & ( # 15m & 1h & 4h down move, 1h still not low enough & downtrend, 4h still high & overbought, 1d high & overbought (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 25.0) | (df["ROC_9_1h"] > -25.0) | (df["RSI_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_4h"] < 50.0) | (df["RSI_14_1d"] < 70.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still not low enough & downtrend & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["ROC_2_4h"] > -10.0) | (df["close"] > (df["high_max_6_4h"] * 0.55)) | (df["close"] < (df["low_min_24_4h"] * 1.00)) ) # 15m & 1h down move, 15m & 1h still not low enough, 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_14_15m"] < 30.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 60.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHk_14_3_3_4h"] < 70.0) | (df["RSI_14_1d"] < 75.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 70.0) | (df["ROC_9_1d"] < 30.0) ) # 15m & 4h down move, 15m & 1h & 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 75.0) | (df["CCI_20_15m"] < -150.0) | (df["RSI_14_1h"] < 45.0) | (df["WILLR_14_1h"] < -30.0) | (df["CCI_20_1h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 45.0) | (df["WILLR_14_4h"] < -80.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 25.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 1d still high & overbought & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 65.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 45.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 20.0) ) # 15 & 1h down move, 15m & 1h & 4h & 1d still high & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -150.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 45.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHk_14_3_3_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0) ) # 15m & 1h down move, 15m & 1h still not low enough, 4h high & overbought & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_14_15m"] < 20.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["RSI_14_4h"] < 50.0) | (df["WILLR_14_4h"] < -10.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 50.0) ) # 15m & 1h down move, 15m & 1h still high, 4h high & overbought & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_14_15m"] < 40.0) | (df["CCI_20_15m"] < -150.0) | (df["RSI_14_1h"] < 50.0) | (df["WILLR_14_1h"] < -80.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 80.0) | (df["WILLR_14_4h"] < -80.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 200.0) | (df["ROC_9_4h"] < 80.0) ) # 15m & 1h down move, 15m & 1h & 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_14_15m"] < 40.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 100.0) ) # 15m down move, 15m still not low enough, 1h high, 1d high & going down & overbought & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 25.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_2_1d"] > -10.0) | (df["ROC_9_1d"] < 150.0) ) # 15m & 1h down move, 15m still not low enough, 1h & 4h still high & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_14_15m"] < 25.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 1d high & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 25.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["RSI_14_1d"] < 70.0) | (df["ROC_9_1d"] < 30.0) ) # 15m & 1h down move, 15m & 1h still not low enough, 4h high & overbought, 1d still high & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_14_15m"] < 35.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHk_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 80.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHk_14_3_3_4h"] < 50.0) | (df["ROC_9_4h"] < 80.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) ) # 15m down move, 15m & 1h & 4h still high, 1d still high & overbought & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_14_15m"] < 45.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["CCI_20_1h"] < -0.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHk_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 25.0) ) # 15m & 1 & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_14_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 30.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 40.0) | (df["WILLR_14_4h"] < -80.0) | (df["STOCHk_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 70.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 25.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 35.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 75.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -250.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -250.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHk_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 30.0) ) # 15m & 1d down move, 15m still not low enough, 1h still high, 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0) | (df["ROC_9_1d"] < 20.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_14_15m"] < 35.0) | (df["CCI_20_15m"] < -150.0) | (df["STOCHk_14_3_3_15m"] < 15.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -100.0) | (df["AROONU_14_1h"] < 25.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 45.0) | (df["AROONU_14_4h"] < 25.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHk_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 60.0) | (df["ROC_9_1d"] < 30.0) ) # 15m & 1h down move, 15m & 1h still not low enough, 4h high, 1d high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 45.0) | (df["CCI_20_1h"] < -100.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 70.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 1h & 4h down move, 15m & 1h still not low enough, 1h still high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 45.0) | (df["CCI_20_1h"] < -100.0) | (df["AROONU_14_1h"] < 25.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHk_14_3_3_4h"] < 20.0) | (df["ROC_9_4h"] < 80.0) ) # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1d still high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 45.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 30.0) ) # 15m & 1h & 1d down move, 15m & 1h & 4h & 1d still high & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHk_14_3_3_15m"] < 30.0) | (df["RSI_14_1h"] < 50.0) | (df["WILLR_14_1h"] < -25.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHk_14_3_3_1h"] < 70.0) | (df["RSI_14_4h"] < 50.0) | (df["WILLR_14_4h"] < -80.0) | (df["STOCHk_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 60.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -300.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 45.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high, 1d high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 60.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 70.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) | (df["ROC_9_1d"] < 250.0) ) # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 1d still high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_14_15m"] < 35.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 50.0) | (df["CCI_20_1h"] < 50.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHk_14_3_3_1h"] < 35.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHk_14_3_3_4h"] < 40.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 25.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 35.0) | (df["CMF_20_1h"] > -0.25) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 4h & 1d down move, 15m& 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 55.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 25.0) | (df["WILLR_14_1h"] < -95.0) | (df["CCI_20_1h"] < -350.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 40.0) | (df["WILLR_14_4h"] < -90.0) | (df["CCI_20_4h"] < -150.0) | (df["UO_7_14_28_4h"] < 40.0) | (df["RSI_14_1d"] < 50.0) | (df["ROC_9_1d"] < 40.0) ) # 15m & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_14_15m"] < 30.0) | (df["CMF_20_15m"] > -0.20) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 45.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 45.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) | (df["ROC_9_1d"] < 15.0) ) # 15m & 1d down move, 15m & 1h & 4h still high, 1d still high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 45.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 45.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 45.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 30.0) | (df["ROC_9_1d"] < 50.0) ) # 15m down move, 15m & 1h still high, 4h high & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_14_15m"] < 40.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHk_14_3_3_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 50.0) | (df["WILLR_14_4h"] < -10.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHk_14_3_3_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 70.0) ) # 15m down move, 15m & 1h & 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 75.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 50.0) | (df["STOCHk_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 60.0) | (df["WILLR_14_4h"] < -25.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHk_14_3_3_4h"] < 70.0) | (df["RSI_14_1d"] < 60.0) | (df["STOCHk_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 40.0) ) # 15m & 4h down move, 15m & 1h & 4h still not low enough, 1d high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 30.0) | (df["RSI_14_1h"] < 30.0) | (df["WILLR_14_1h"] < -90.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 30.0) | (df["AROONU_14_4h"] < 25.0) | (df["WILLR_14_4h"] < -90.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 200.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["RSI_14_1h"] < 40.0) | (df["RSI_14_4h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["AROONU_14_1d"] < 50.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h still not low enough & downtrend, 1d still high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -200.0) | (df["ROC_9_4h"] > -10.0) | (df["RSI_14_1d"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 40.0) ) # 15m down move, 15m & 1h & 4h & 1d high & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 50.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) ) # 15m & 1h down move, 15m & 1h still high, 4h still high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 50.0) | (df["RSI_14_1h"] < 50.0) | (df["RSI_14_4h"] < 60.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_4h"] < 30.0) ) # 15m & 1h down move, 15m still not low enough, 1h & 4h still high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_14_15m"] < 40.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["ROC_9_1h"] < 25.0) | (df["RSI_14_4h"] < 60.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 250.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 25.0) ) # 14m & 4h down move, 15m still high, 1h & 1d high & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_1d"] < 75.0) ) # 15m down move, 15m still high, 4h & 1d high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 50.0) | (df["RSI_14_4h"] < 75.0) | (df["WILLR_14_4h"] < -20.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 40.0) | (df["RSI_14_1d"] < 75.0) | (df["ROC_9_1d"] < 80.0) ) # 15m down move, 15m still not low enough, 1h & 4h high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_14_15m"] < 40.0) | (df["RSI_14_1h"] < 75.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1h"] < 25.0) | (df["RSI_14_4h"] < 80.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 300.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 30.0) ) # 15m down move, 15m still not low enough, 1h & 4h high, 1d high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 25.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["AROONU_14_4h"] < 75.0) | (df["WILLR_14_4h"] < -35.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 30.0) ) # 15m down move, 15m & 1h still high, 4h high & overbought & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_14_15m"] < 45.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < 100.0) | (df["STOCHk_14_3_3_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHk_14_3_3_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_4h"] < 30.0) ) # 15m down move, 15m still not low enough, 1h & 4h high, 4h overbought & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_14_15m"] < 35.0) | (df["RSI_14_1h"] < 70.0) | (df["AROONU_14_1h"] < 50.0) | (df["RSI_14_4h"] < 80.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 150.0) ) # 15m & 1h down move, 15m & 1h still not low enough, 4h still high & overbought & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["CCI_20_4h"] < -0.0) | (df["ROC_9_4h"] < 20.0) | ((df["RSI_3_4h"] > 60.0) & (df["RSI_14_4h"] < 75.0)) | ((df["RSI_3_4h"] > 60.0) & (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)) | (df["close"] > (df["high_max_12_1h"] * 0.75)) | (df["close"] < (df["low_min_12_4h"] * 1.10)) ) # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 35.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 45.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["RSI_14_1d"] < 80.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 4h & 1d down move, 15m & 1h still high, 4h still not low enough & downtrend, 1d overbought & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 40.0) | (df["RSI_14_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["RSI_14_4h"] < 30.0) | (df["ROC_9_4h"] > -15.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 1h down move, 15m & 1h still not low enough, 4h high & overbought & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 80.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 50.0) ) # 15m down move, 15m & 1h still high, 4h & 1d high & overbought & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 75.0) | (df["CCI_20_15m"] < -150.0) | (df["RSI_14_1h"] < 50.0) | (df["STOCHk_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 60.0) | (df["WILLR_14_4h"] < -25.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHk_14_3_3_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["ROC_9_4h"] < 40.0) | (df["RSI_14_1d"] < 70.0) | (df["STOCHk_14_3_3_1d"] < 70.0) | (df["ROC_9_1d"] < 50.0) ) # 15m down move, 15m still high, 1h & 4h & 1d high & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_14_15m"] < 45.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < 300.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 50.0) | (df["WILLR_14_4h"] < -30.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 20.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -300.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 25.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 1d still high & overbought & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_14_15m"] < 35.0) | (df["STOCHk_14_3_3_15m"] < 30.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 25.0) | (df["STOCHk_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 75.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 30.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 45.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHk_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 75.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 1h down move, 15m & 1h still not low enough, 4h still high, 1d still high & overbought & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -150.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -150.0) | (df["AROONU_14_4h"] < 50.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_2_1d"] < 50.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 40.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 45.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHk_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high & overbought, 1d overbought & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHk_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 60.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 50.0) | (df["STOCHk_14_3_3_4h"] < 50.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 250.0) ) # 15m & 4h down move, 15m still not low enough, 1h & 4h still high & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 35.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < 300.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 30.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 15m & 4h down move, 15m & 1h & 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_3_4h"] > 65.0) | (df["RSI_14_15m"] < 50.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -0.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 40.0) ) # 15m & 1d down move, 15m & 1h & 4h & 1d still high & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 50.0) | (df["WILLR_14_1h"] < -95.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 50.0) | (df["WILLR_14_4h"] < -90.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["RSI_14_1d"] < 35.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 15m & 4h down move, 15m & 1h still not low enough, 4h & 1d still high & overbought & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_3_4h"] > 65.0) | (df["RSI_14_15m"] < 35.0) | (df["WILLR_14_15m"] < -75.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHk_14_3_3_15m"] < 40.0) | (df["RSI_14_1h"] < 40.0) | (df["WILLR_14_1h"] < -90.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 50.0) | (df["WILLR_14_4h"] < -75.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHk_14_3_3_4h"] < 40.0) | (df["ROC_9_4h"] < 35.0) | (df["RSI_14_1d"] < 50.0) | (df["ROC_9_1d"] < 50.0) ) # 15m down move, 15m stil not low enough, 1h & 4h high, 1d overbought & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 70.0) | (df["STOCHk_14_3_3_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 70.0) | (df["STOCHk_14_3_3_4h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] < 40.0) ) # 15m down move, 15m & 1h still high, 4h & 1d high & overbought & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_14_15m"] < 40.0) | (df["STOCHk_14_3_3_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 50.0) | (df["STOCHk_14_3_3_1h"] < 70.0) | (df["RSI_14_4h"] < 85.0) | (df["WILLR_14_4h"] < -20.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHk_14_3_3_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 80.0) | (df["RSI_14_1d"] < 85.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 100.0) ) # 15m down move, 15m stil high, 1h high, 4h & 1d high & overbought & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_14_15m"] < 50.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 70.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHk_14_3_3_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["RSI_14_4h"] < 70.0) | (df["WILLR_14_4h"] < -10.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHk_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 40.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 100.0) ) # 15m down move, 15m & 1h still high, 4h high & overbought, 1d still high & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_14_15m"] < 50.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 60.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 70.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 20.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) ) # 15m down move, 15m still high, 1h & 4h still high, 1d high & overbought & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_14_15m"] < 50.0) | (df["WILLR_14_15m"] < -80.0) | (df["AROONU_14_15m"] < 75.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 40.0) | (df["RSI_14_4h"] < 60.0) | (df["WILLR_14_4h"] < -80.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_15m"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 1h & 1d down move, 15m & 1h & 4h & 1d still high & ( (df["RSI_3_15m"] > 50.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 45.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 45.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_1h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 45.0) ) # 15m down move, 15m & 1h & 4h high, 1d high & overbought & ( (df["RSI_3_15m"] > 50.0) | (df["AROONU_14_15m"] < 75.0) | (df["STOCHk_14_3_3_15m"] < 40.0) | (df["RSI_14_1h"] < 60.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 60.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHk_14_3_3_4h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["RSI_14_1d"] < 70.0) | (df["ROC_9_1d"] < 30.0) ) # 15m down move, 15m & 1h still high, 4h high & overbought & ( (df["RSI_3_15m"] > 50.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_14_15m"] < 50.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -0.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_1h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 60.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h still not low enough & downtrend, 1d still not low enough & overbought & ( (df["RSI_3_15m"] > 50.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -150.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 25.0) | (df["CCI_20_4h"] < -150.0) | (df["ROC_9_4h"] > -25.0) | (df["RSI_14_1d"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 15.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["RSI_3_15m"] > 50.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 75.0) | (df["CCI_20_15m"] < -250.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 40.0) ) # 15m & 1h down move, 15m & 1h still high, 4h high & overbought, 1d overbought & ( (df["RSI_3_15m"] > 50.0) | (df["RSI_3_1h"] > 65.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -0.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 70.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHk_14_3_3_4h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_4h"] < 50.0) | (df["ROC_9_1d"] < 250.0) ) # 15m down move, 15m & 1h & 4h & 1d high & ( (df["RSI_3_15m"] > 50.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -0.0) | (df["RSI_14_1h"] < 70.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < 100.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) ) # 15m down move, 15m & 1h still high, 4h high & ( (df["RSI_3_15m"] > 50.0) | (df["RSI_14_15m"] < 50.0) | (df["MFI_14_15m"] < 50.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 50.0) | (df["MFI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 60.0) | (df["MFI_14_4h"] < 80.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_1h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["close"] > (df["high_max_6_1h"] * 0.80)) | (df["close"] < (df["low_min_12_4h"] * 1.10)) ) # 15m & 1h down move, 15m & 1h still not low enough, 4h still high & overbought & ( (df["RSI_3_15m"] > 50.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["ROC_2_4h"] > -10.0) | (df["ROC_9_4h"] < 40.0) | ((df["RSI_3_4h"] > 40.0) & (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)) | (df["close"] > (df["high_max_6_4h"] * 0.50)) | (df["close"] < (df["low_min_12_4h"] * 1.20)) ) # 15m & 1d down move, 15m still high, 1h high & overbought, 1d still high & overbought & ( (df["RSI_3_15m"] > 55.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 50.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHk_14_3_3_15m"] < 30.0) | (df["RSI_14_1h"] < 70.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < 150.0) | (df["STOCHk_14_3_3_1h"] < 50.0) | (df["ROC_9_1h"] < 30.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 1h & 1d down move, 15m & 1h & 4h still high, 1d still high & overbought & ( (df["RSI_3_15m"] > 60.0) | (df["RSI_3_1h"] > 65.0) | (df["RSI_3_1d"] > 65.0) | (df["RSI_14_15m"] < 45.0) | (df["AROONU_14_15m"] < 75.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 1h & 1d down move, 15m & 1h & 4h still high, 1d still high & overbought & ( (df["RSI_3_15m"] > 60.0) | (df["RSI_3_1h"] > 70.0) | (df["RSI_3_1d"] > 70.0) | (df["RSI_14_15m"] < 40.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 45.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 45.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 250.0) ) # 15m & 4h down move, 15m still high, 1h & 4h still not low enough. 1d overbought & ( (df["RSI_3_15m"] > 60.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 50.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["RSI_14_1h"] < 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 25.0) | (df["RSI_14_1d"] < 60.0) | (df["ROC_9_1d"] < 30.0) ) # 15m down move, 15m & 1h still not low nough, 4h still high & overbought & ( (df["RSI_3_15m"] > 65.0) | (df["RSI_14_15m"] < 40.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 60.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_4h"] < 200.0) ) # 15m down move, 15m & 1h high, 4h high & overbought & ( (df["RSI_3_15m"] > 65.0) | (df["RSI_14_15m"] < 70.0) | (df["AROONU_14_15m"] < 75.0) | (df["CCI_20_15m"] < -0.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["RSI_14_1h"] < 80.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < 150.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["RSI_14_4h"] < 80.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 100.0) ) # 1ddown move, 15m & 1h still high, 4h high, 1d overbought & ( (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 40.0) | (df["RSI_14_4h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["AROONU_14_1d"] < 50.0) | (df["ROC_9_1d"] < 50.0) ) # 14m & 1h & 4h still not low enough, 1d high, 15m & 1h & 4h & 1d down move, 1d overbought & ( (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_1d"] < 80.0) | (df["ROC_9_1d"] < 40.0) ) # 1h & 4h not low enough, 1d high & overbought & ( (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 85.0) | (df["ROC_9_1d"] < 250.0) ) # 1h P&D, 15m down move, 15m still high, 1h high & ( (df["change_pct_1h"] > -10.0) | (df["change_pct_1h"].shift(12) < 10.0) | (df["RSI_3_15m"] > 40.0) | (df["RSI_14_15m"] < 40.0) | (df["CCI_20_15m"] < -100.0) | (df["AROONU_14_15m"] < 25.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 4h P&D, 15m & 1h still high, 4h high & overbought & ( (df["change_pct_4h"] > -2.0) | (df["change_pct_4h"].shift(48) < 10.0) | (df["RSI_14_15m"] < 40.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 25.0) | (df["RSI_14_4h"] < 70.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 50.0) ) # 4h P&D, 15m down move, 15m & 1h still high, 4h still high & overbought & ( (df["change_pct_4h"] > -10.0) | (df["change_pct_4h"].shift(48) < 25.0) | (df["RSI_3_15m"] > 25.0) | (df["RSI_14_15m"] < 35.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["ROC_9_4h"] < 30.0) ) # 4h P&D, 1h still high, 4h down move, 4h still high & ( (df["change_pct_4h"] > -20.0) | (df["change_pct_4h"].shift(48) < 20.0) | (df["AROONU_14_1h"] < 50.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_4h"].shift(48) < 80.0) ) # 4h green with top wick, 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 1d overbought & ( (df["change_pct_4h"] < 5.0) | (df["top_wick_pct_4h"] < 5.0) | (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 45.0) | (df["CCI_20_1h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["ROC_9_1d"] < 40.0) ) # 4h green with top wick, 15m & 1h down move, 15m & 1h still high, 4h high & overbought & ( (df["change_pct_4h"] < 5.0) | (df["top_wick_pct_4h"] < 5.0) | (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHk_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 70.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHk_14_3_3_4h"] < 50.0) | (df["ROC_9_4h"] < 20.0) ) # 5h green with top wick, 15m down move, 15m still high, 1h still high, 4h high & ( (df["change_pct_4h"] < 5.0) | (df["top_wick_pct_4h"] < 5.0) | (df["RSI_3_15m"] > 45.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 25.0) | (df["RSI_14_1h"] < 50.0) | (df["RSI_14_4h"] < 80.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 25.0) ) # 4h green with top wick, 15m down move, 15m still not low enough, 4h still high & overbought, 1d high & ( (df["change_pct_4h"] < 5.0) | (df["top_wick_pct_4h"] < 5.0) | (df["RSI_3_15m"] > 50.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_4h"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_4h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) ) # 4h green with top wick, 15m still not low enough, 1h high, 4h high & ( (df["change_pct_4h"] < 10.0) | (df["top_wick_pct_4h"] < 10.0) | (df["AROONU_14_15m"] < 25.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) ) # 4h green with top wick, 15m & 1h & 4h still high, 1d overbought & ( (df["change_pct_4h"] < 10.0) | (df["top_wick_pct_4h"] < 10.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] < 50.0) ) # 1d red, 1h & 4h down move, 1h high & overbought & ( (df["change_pct_1d"] > -4.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 5.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 50.0) ) # 1d P&D, 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["change_pct_1d"] > -5.0) | (df["change_pct_1d"].shift(288) < 20.0) | (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_14_15m"] < 15.0) | (df["MFI_14_1h"] < 10.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 25.0) | (df["CCI_20_1h"] < -300.0) | (df["RSI_14_4h"] < 35.0) | (df["MFI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0) | (df["ROC_9_1d"] < 30.0) ) # 1d P&D, 15m & 1h & 4h down move, 15m & 1h & 4h still now low enough, 1d high & overbought & ( (df["change_pct_1d"] > -5.0) | (df["change_pct_1d"].shift(288) < 30.0) | (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 70.0) | (df["RSI_3_4h"] > 70.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 45.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 100.0) ) # 1d P&D, 15m still not low enough, 1h & 4h still high, 1d overbought & ( (df["change_pct_1d"] > -5.0) | (df["change_pct_1d"].shift(288) < 30.0) | (df["RSI_14_15m"] < 40.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 50.0) | (df["STOCHk_14_3_3_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 60.0) | (df["STOCHk_14_3_3_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] < 50.0) ) # 1d P&D, 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["change_pct_1d"] > -10.0) | (df["change_pct_1d"].shift(288) < 10.0) | (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 75.0) ) # 1d P&D, 15m & 1h & 4h down move, 1h & 4h still not low enough, 1d still high & ( (df["change_pct_1d"] > -10.0) | (df["change_pct_1d"].shift(288) < 10.0) | (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 25.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0) ) # 1d P&D, 15m down move, 15m & 1h & 4h & 1d still high & ( (df["change_pct_1d"] > -10.0) | (df["change_pct_1d"].shift(288) < 10.0) | (df["RSI_3_15m"] > 40.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["RSI_14_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 40.0) ) # 1d P&D, 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 4h downtrend & ( (df["change_pct_1d"] > -10.0) | (df["change_pct_1d"].shift(288) < 10.0) | (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["AROONU_14_4h"] < 25.0) | (df["ROC_9_4h"] > -20.0) ) # 1d P&D 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & overbought & ( (df["change_pct_1d"] > -10.0) | (df["change_pct_1d"].shift(288) < 10.0) | (df["RSI_3_15m"] > 55.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 100.0) | (df["close"] > (df["high_max_12_4h"] * 0.50)) | (df["close"] < (df["low_min_24_4h"] * 1.20)) ) # 1d P&D, 15m & 1h down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["change_pct_1d"] < 5.0) | (df["top_wick_pct_1d"] < 5.0) | (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_14_15m"] < 20.0) | (df["UO_7_14_28_15m"] < 15.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 25.0) | (df["AROONU_14_1h"] < 25.0) | (df["UO_7_14_28_1h"] < 20.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) | (df["UO_7_14_28_4h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 1d green with top wick, 15m & 1h & 4h still high, 4h overbought & ( (df["change_pct_1d"] < 5.0) | (df["top_wick_pct_1d"] < 5.0) | (df["RSI_3_15m"] > 40.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 50.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 20.0) ) # 1d green with top wick, 15m & 1h & 4h down move, 1h & 4h still not low enough, 1h high & overbought & ( (df["change_pct_1d"] < 5.0) | (df["top_wick_pct_1d"] < 10.0) | (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -100.0) | (df["WILLR_14_4h"] < -80.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 50.0) ) # 1d green with top wick, 15m & 1h down move, 1h & 4h still high, 1d overbought & ( (df["change_pct_1d"] < 5.0) | (df["top_wick_pct_1d"] < 30.0) | (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] < 150.0) ) # 1d green with top wick, 15m & 1h & 4h high, 1d high & overbought & ( (df["change_pct_1d"] < 10.0) | (df["top_wick_pct_1d"] < 10.0) | (df["RSI_14_15m"] < 50.0) | (df["AROONU_14_15m"] < 75.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0) | (df["RSI_14_1h"] < 70.0) | (df["RSI_14_4h"] < 70.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["RSI_14_1d"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 20.0) ) # 1d green with top wick, 15m & 1h & 4h down move, 15m high, 4h still not low enough, 1d overbought & ( (df["change_pct_1d"] < 10.0) | (df["top_wick_pct_1d"] < 10.0) | (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["ROC_9_1d"] < 150.0) ) # 1d green & top wick, 15m down move, 15m still not low enough, 1h high, 4h & 1d high & overbought & ( (df["change_pct_1d"] < 10.0) | (df["top_wick_pct_1d"] < 10.0) | (df["RSI_3_15m"] > 60.0) | (df["RSI_14_15m"] < 50.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 70.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 30.0) | (df["RSI_14_1d"] < 70.0) | (df["ROC_9_1d"] < 30.0) ) # 1d green with top wick, 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d high & overbought & ( (df["change_pct_1d"] < 10.0) | (df["top_wick_pct_1d"] < 20.0) | (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_14_15m"] < 40.0) | (df["RSI_14_1h"] < 40.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 25.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 80.0) ) # 1d green with top wick, 4h down move, 4h still high, 4h overbought & ( (df["change_pct_1d"] < 20.0) | (df["top_wick_pct_1d"] < 20.0) | (df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_4h"] < 80.0) ) # 1d green with top wick, 15m down move, 15m & 1h still not high, 4h still high & overbought, 1d high & overbought & ( (df["change_pct_1d"] < 20.0) | (df["top_wick_pct_1d"] < 20.0) | (df["RSI_3_15m"] > 50.0) | (df["RSI_14_15m"] < 40.0) | (df["RSI_14_1h"] < 40.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["ROC_9_4h"] < 40.0) | (df["RSI_14_1d"] < 80.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 40.0) ) # 1d green, 5m & 15m down move, 15m still not low enough, 1h & 4h high, 4h overbought & ( (df["change_pct_1d"] < 20.0) | (df["RSI_3"] > 10.0) | (df["RSI_3_15m"] > 50.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["AROONU_14_1h"] < 75.0) | (df["AROONU_14_4h"] < 75.0) | (df["RSI_14_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 50.0) ) # 1d green, 15m & 4h down move, 15m & 4h still high, 4h overbought & ( (df["change_pct_1d"] < 20.0) | (df["RSI_3_15m"] > 35.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_4h"] < 20.0) ) # 1d P&D, 15m& 1h down move, 15m & 1h still not low enough, 4h still high & ( (df["change_pct_1d"] < 20.0) | (df["top_wick_pct_1d"] < 20.0) | (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -150.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 45.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 1d green with top wick, 15m down move, 15m & 1h still not low enough, 4h still high & ( (df["change_pct_1d"] < 20.0) | (df["top_wick_pct_1d"] < 20.0) | (df["RSI_3_15m"] > 25.0) | (df["RSI_14_15m"] < 40.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 45.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 45.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["close"] > (df["high_max_6_4h"] * 0.80)) | (df["close"] < (df["low_min_12_4h"] * 1.20)) ) # 1d green with top wick, 15m & 4h down move, 15m & 1h & 4h still high, 1d high & overbought & ( (df["change_pct_1d"] < 20.0) | (df["top_wick_pct_1d"] < 20.0) | (df["RSI_3_15m"] > 45.0) | (df["RSI_3_4h"] > 60.0) | (df["AROONU_14_15m"] < 75.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["RSI_14_1h"] < 40.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["RSI_14_1d"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 100.0) ) # 1d green with top wick, 15m down move, 15m & 1h & 4h still high, 1d high & overbought & ( (df["change_pct_1d"] < 20.0) | (df["top_wick_pct_1d"] < 20.0) | (df["RSI_3_15m"] > 45.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 75.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 60.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] < 40.0) ) # 1d P&D 15m & 1h & 4h down move, 15m & 1h & 4h still high, 1d still high & overbought & ( (df["change_pct_1d"] < 20.0) | (df["top_wick_pct_1d"] < 20.0) | (df["RSI_3_15m"] > 50.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 60.0) | (df["ROC_9_1d"] < 20.0) ) # 1d green, 1h down move, 15m still not low enough, 1h still high, 4h & 1d high & overbought & ( (df["change_pct_1d"] < 30.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_15m"] < 25.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["RSI_14_4h"] < 60.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_4h"] < 50.0) | (df["RSI_14_1d"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 100.0) ) # 1d green with top wick, 15m down move, 15m & 1h & 4h still not low enough, 4h & 1d overbought & ( (df["change_pct_1d"] < 35.0) | (df["top_wick_pct_1d"] < 35.0) | (df["RSI_3_15m"] > 40.0) | (df["RSI_14_15m"] < 30.0) | (df["RSI_14_1h"] < 35.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 40.0) ) # 1d green, 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d high & overbought & ( (df["change_pct_1d"] < 50.0) | (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_14_15m"] < 30.0) | (df["RSI_14_1h"] < 40.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["AROONU_14_1d"] < 75.0) | (df["ROC_9_1d"] < 100.0) ) # 1d top wick, 15m down move, 15m & 1h & 4h still high, 1d high & overbought & ( (df["top_wick_pct_1d"] < 20.0) | (df["RSI_3_15m"] > 60.0) | (df["RSI_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 50.0) ) ) df["global_protections_long_dump"] = ( # 5m & 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough ( (df["RSI_3"] > 2.0) | (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 40.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["RSI_14_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 30.0) | (df["WILLR_14_4h"] < -95.0) | (df["RSI_14_1d"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0) ) # 5m & 15m & 1h & 4h & 1d down move, 1h & 4h low, 4h still not low enough & ( (df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["MFI_14_1h"] > 10.0) | (df["CCI_20_change_pct_1h"] > 0.0) | (df["MFI_14_4h"] > 10.0) | (df["CCI_20_change_pct_4h"] > 0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) ) # 5m & 15m & 1h down move, 15m & 1h still not low enough, 4h still high & ( (df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_14_15m"] < 25.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHk_14_3_3_1h"] < 25.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < 50.0) | (df["STOCHk_14_3_3_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 5m & 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 10.0) | (df["CMF_20_15m"] > -0.25) | (df["MFI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 25.0) | (df["MFI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 30.0) | (df["MFI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 25.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -10.0) ) # 5m & 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough. 1 still not low enough & downtrend & ( (df["RSI_3"] > 10.0) | (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 15.0) | (df["RSI_14_15m"] < 5.0) | (df["CCI_20_15m"] < -500.0) | (df["RSI_14_1h"] < 5.0) | (df["CCI_20_1h"] < -350.0) | (df["RSI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -350.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -10.0) ) # 5m & 15m & 1h & 4h down move, 15m & 1h & 4h still high & ( (df["RSI_3"] > 10.0) | (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 65.0) | (df["RSI_3_4h"] > 65.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["RSI_14_4h"] < 45.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 5.0) | (df["CCI_20_15m"] < -800.0) | (df["RSI_14_1h"] < 10.0) | (df["CCI_20_1h"] < -300.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -300.0) | (df["RSI_14_1d"] < 40.0) | (df["STOCHk_14_3_3_1d"] < 20.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still not low enough & drop in last 30d & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_15m"] < 5.0) | (df["CMF_20_15m"] < -0.45) | (df["MFI_14_15m"] < 10.0) | (df["UO_7_14_28_15m"] < 25.0) | (df["CCI_20_15m"] < -500.0) | (df["RSI_14_1h"] < 10.0) | (df["CMF_20_1h"] < -0.45) | (df["MFI_14_1h"] < 15.0) | (df["CCI_20_1h"] < -500.0) | (df["RSI_14_4h"] < 20.0) | (df["CMF_20_4h"] < -0.25) | (df["MFI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -400.0) | (df["RSI_14_1d"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["close"] > (df["high_max_30_1d"] * 0.45)) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 5.0) | (df["CMF_20_15m"] < -0.50) | (df["CMF_20_15m"] > -0.20) | (df["MFI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 15.0) | (df["CMF_20_1h"] < -0.45) | (df["MFI_14_1h"] < 15.0) | (df["CCI_20_1h"] < -400.0) | (df["RSI_14_4h"] < 20.0) | (df["CMF_20_4h"] < -0.25) | (df["MFI_14_4h"] < 15.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -30.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 5d still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 10.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -350.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 35.0) | (df["CCI_20_4h"] < -300.0) | (df["STOCHk_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 30.0) | (df["AROONU_14_1d"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d downtrend & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 5.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -250.0) | (df["ROC_9_1d"] > -50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 15.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -400.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 35.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHk_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 35.0) | (df["AROONU_14_1d"] < 25.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -500.0) | (df["RSI_14_1h"] < 10.0) | (df["CMF_20_1h"] > -0.20) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 20.0) | (df["AROONU_14_1d"] < 25.0) | (df["ROC_9_1d"] > -10.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h & 1d stil not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 15.0) | (df["RSI_14_1h"] < 20.0) | (df["RSI_14_4h"] < 35.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 75.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 15.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 35.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHk_14_3_3_4h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 40.0) | (df["STOCHk_14_3_3_1d"] < 20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still now low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 15.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 5.0) | (df["CCI_20_1h"] < -300.0) | (df["RSI_14_4h"] < 10.0) | (df["CCI_20_4h"] < -300.0) | (df["RSI_14_1d"] < 20.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_14_15m"] < 5.0) | (df["CCI_20_15m"] < -600.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 10.0) | (df["CCI_20_1h"] < -600.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 15.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -600.0) | (df["RSI_14_1d"] < 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h strong downtrend & not low enough, 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 40.0) | (df["CMF_20_15m"] > -0.20) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 10.0) | (df["CMF_20_1h"] > -0.20) | (df["CCI_20_1h"] < -350.0) | (df["RSI_14_4h"] < 10.0) | (df["CCI_20_4h"] < -300.0) | (df["RSI_14_1d"] < 35.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 20.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_15m"] < 10.0) | (df["CMF_20_15m"] > -0.25) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 20.0) | (df["MFI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -400.0) | (df["RSI_14_4h"] < 30.0) | (df["MFI_14_4h"] < 30.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 35.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 20.0) ) # 15m & 1h down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 35.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 35.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -450.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -350.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHk_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 45.0) | (df["STOCHk_14_3_3_1d"] < 30.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 15.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -300.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 45.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 15.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -450.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 15.0) | (df["CCI_20_4h"] < -350.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 50.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -450.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -150.0) ) # 15m & 1h & 4h & 1d down move, 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_1h"] < 30.0) | (df["RSI_14_4h"] < 30.0) | (df["AROONU_14_4h"] < 25.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 25.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 25.0) | (df["AROONU_14_15m"] < 25.0) | (df["AROONU_14_1h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 20.0) | (df["UO_7_14_28_1h"] < 30.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 25.0) | (df["UO_7_14_28_4h"] < 35.0) | (df["CCI_20_4h"] < -250.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 25.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -350.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 25.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -300.0) | (df["RSI_14_1d"] < 40.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 10.0) | (df["CMF_20_15m"] > -0.20) | (df["CCI_20_15m"] < -500.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 25.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 45.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -500.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 35.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 25.0) | (df["WILLR_14_1h"] < -95.0) | (df["CCI_20_1h"] < -300.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 30.0) | (df["WILLR_14_4h"] < -95.0) | (df["CCI_20_4h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -10.0) ) # 15m & 1h & 4h & 1d down move, 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 30.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 5.0) | (df["CCI_20_15m"] < -350.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 10.0) | (df["CMF_20_1h"] > -0.20) | (df["CCI_20_1h"] < -300.0) | (df["RSI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 20.0) | (df["MFI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 30.0) | (df["MFI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 30.0) | (df["MFI_14_1d"] < 30.0) ) # 15m & 1h & 4h down move, 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["WILLR_14_1h"] < -75.0) | (df["UO_7_14_28_1h"] < 50.0) | (df["RSI_14_4h"] < 35.0) | (df["WILLR_14_4h"] < -75.0) | (df["AROONU_14_4h"] < 25.0) | (df["UO_7_14_28_4h"] < 40.0) | (df["RSI_14_1d"] < 40.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d downtrend, drop in last 30d & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 10.0) | (df["CMF_20_15m"] > -0.20) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 20.0) | (df["CMF_20_1h"] > -0.30) | (df["CCI_20_1h"] < -400.0) | (df["RSI_14_4h"] < 20.0) | (df["CMF_20_4h"] > -0.40) | (df["CCI_20_4h"] < -400.0) | (df["ROC_9_1d"] > -20.0) | (df["close"] > (df["high_max_30_1d"] * 0.20)) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 25.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 25.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 75.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -400.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 25.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 40.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 40.0) | (df["WILLR_14_4h"] < -80.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHk_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 60.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 40.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 20.0) | (df["CMF_20_15m"] > -0.20) | (df["RSI_14_1h"] < 35.0) | (df["UO_7_14_28_1h"] < 35.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 35.0) | (df["UO_7_14_28_4h"] < 40.0) | (df["CCI_20_4h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 25.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 20.0) | (df["MFI_14_15m"] < 5.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 25.0) | (df["MFI_14_1h"] < 15.0) | (df["CCI_20_1h"] < -450.0) | (df["RSI_14_4h"] < 25.0) | (df["MFI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -400.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 25.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_3_1d"] > 35.0) | (df["RSI_14_15m"] < 15.0) | (df["AROONU_14_15m"] < 25.0) | (df["RSI_14_1h"] < 20.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -400.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 30.0) | (df["AROONU_14_4h"] < 25.0) | (df["CCI_20_4h"] < -400.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 40.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h & 1d still high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 5.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 45.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 45.0) | (df["AROONU_14_1d"] < 75.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend, drop in last 30d & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 10.0) | (df["UO_7_14_28_15m"] < 10.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 25.0) | (df["UO_7_14_28_1h"] < 25.0) | (df["CCI_20_1h"] < -300.0) | (df["RSI_14_4h"] < 35.0) | (df["UO_7_14_28_4h"] < 40.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 25.0) | (df["ROC_9_1d"] > -20.0) | (df["close"] > (df["high_max_30_1d"] * 0.25)) ) # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h & 1d still high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -150.0) | (df["STOCHk_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 40.0) | (df["STOCHk_14_3_3_1d"] < 20.0) ) # 15 & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 10.0) | ((df["AROONU_14_15m"] == 0.0) & (df["AROOND_14_15m"] == 100.0)) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 20.0) | ((df["AROONU_14_1h"] == 0.0) & (df["AROOND_14_1h"] == 100.0)) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 35.0) | ((df["AROONU_14_4h"] == 0.0) & (df["AROOND_14_4h"] == 100.0)) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 20.0) | (df["WILLR_14_4h"] < -95.0) | (df["CCI_20_1h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 20.0) | (df["WILLR_14_4h"] < -95.0) | (df["CCI_20_4h"] < -250.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 30.0) | (df["WILLR_14_1h"] < -90.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 25.0) | (df["WILLR_14_4h"] < -90.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 45.0) | (df["AROONU_14_1d"] < 25.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -250.0) | (df["WILLR_14_1h"] < -95.0) | (df["RSI_14_4h"] < 30.0) | (df["AROONU_14_4h"] < 25.0) | (df["CCI_20_4h"] < -200.0) | (df["WILLR_14_4h"] < -95.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 70.0) ) # 15m & 1h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -350.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -300.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h down move, 15m still not low enough, 1h still high, 4h high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_15m"] < 25.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -300.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 15.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 25.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 35.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 20.0) ) # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still not low enough & downtrend, 1h still high & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 40.0) | (df["CMF_20_1h"] > -0.10) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 40.0) | (df["CMF_20_4h"] > -0.10) | (df["AROONU_14_4h"] < 25.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 10.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -250.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -250.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 25.0) | (df["CCI_20_4h"] < -250.0) | (df["STOCHk_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 30.0) | (df["STOCHk_14_3_3_1d"] < 10.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough, drop in last 20d & 30d & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 10.0) | (df["CMF_20_15m"] < -0.50) | (df["UO_7_14_28_15m"] < 15.0) | (df["UO_7_14_28_change_pct_15m"] > 0.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 15.0) | (df["CMF_20_1h"] < -0.40) | (df["UO_7_14_28_1h"] < 15.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 30.0) | (df["CMF_20_4h"] < -0.40) | (df["AROONU_14_4h"] < 25.0) | (df["UO_7_14_28_4h"] < 30.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 20.0) | (df["CMF_20_1d"] < -0.40) | (df["close"] > (df["high_max_20_1d"] * 0.55)) | (df["close"] > (df["high_max_30_1d"] * 0.50)) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -300.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHk_14_3_3_4h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 40.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 20.0) | (df["CMF_20_15m"] > -0.25) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 35.0) | (df["CMF_20_1h"] > -0.20) | (df["CCI_20_1h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 35.0) | (df["CMF_20_4h"] > -0.20) | (df["CCI_20_4h"] < -150.0) | (df["RSI_14_1d"] < 35.0) | (df["ROC_9_1d"] > -10.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d downtrend & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_4h"] > 65.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -10.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 15.0) | (df["RSI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -450.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 30.0) | (df["AROOND_14_1h"] < 25.0) | (df["CCI_20_1h"] < -350.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 10.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 20.0) | (df["MFI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 15.0) | (df["MFI_14_1h"] < 10.0) | (df["CCI_20_1h"] < -300.0) | (df["RSI_14_4h"] < 30.0) | (df["MFI_14_4h"] < 15.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 35.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 5.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 15.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 30.0) | (df["AROONU_14_1d"] < 25.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough, drop in last 30d & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 10.0) | ((df["AROONU_14_15m"] == 0.0) & (df["AROOND_14_15m"] == 100.0)) | (df["UO_7_14_28_15m"] < 20.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 10.0) | ((df["AROONU_14_1h"] == 0.0) & (df["AROOND_14_1h"] == 100.0)) | (df["UO_7_14_28_1h"] < 20.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 20.0) | ((df["AROONU_14_4h"] == 0.0) & (df["AROOND_14_4h"] == 100.0)) | (df["UO_7_14_28_4h"] < 20.0) | (df["CCI_20_4h"] < -250.0) | (df["RSI_14_1d"] < 30.0) | (df["close"] > (df["high_max_30_1d"] * 0.55)) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d downtrend & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_14_15m"] < 30.0) | (df["RSI_14_1h"] < 30.0) | (df["UO_7_14_28_1h"] < 40.0) | (df["RSI_14_4h"] < 35.0) | (df["WILLR_14_4h"] < -90.0) | (df["CCI_20_4h"] < -100.0) | (df["ROC_2_1d"] > -30.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low ennough & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 10.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 15.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 20.0) | (df["AROONU_14_4h"] < 25.0) | (df["CCI_20_4h"] < -250.0) | (df["RSI_14_1d"] < 30.0) | (df["STOCHk_14_3_3_1d"] < 20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["RSI_14_15m"] < 20.0) | (df["MFI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 20.0) | (df["MFI_14_1h"] < 10.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 20.0) | (df["MFI_14_4h"] < 10.0) | (df["CCI_20_4h"] < -250.0) | (df["RSI_14_1d"] < 30.0) ) # 15m & 1h & 1d down move, 15m & 1h & 4h & 1d still now low enough, drop in last 20d & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 30.0) | (df["UO_7_14_28_15m"] < 20.0) | (df["CCI_20_15m"] < -150.0) | (df["RSI_14_1h"] < 35.0) | (df["MFI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 50.0) | (df["UO_7_14_28_1h"] < 20.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 35.0) | (df["MFI_14_4h"] < 30.0) | (df["UO_7_14_28_4h"] < 30.0) | (df["CCI_20_4h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 35.0) | (df["close"] > (df["high_max_20_1d"] * 0.35)) ) # 15m & 1h & 1d down move, 15m & 1h still not low enough, 4h still high, 1d still not low enough, drop in last 30d & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 20.0) | (df["close"] > (df["high_max_30_1d"] * 0.65)) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 20.0) | (df["WILLR_14_1h"] < -90.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 30.0) | (df["WILLR_14_4h"] < -90.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHk_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 40.0) | (df["WILLR_14_4h"] < -90.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -250.0) | (df["RSI_14_1d"] < 45.0) | (df["STOCHk_14_3_3_1d"] < 20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h still not low enough & downtrend, 1d still not low enough & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -300.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -200.0) | (df["ROC_9_4h"] > -20.0) | (df["RSI_14_1d"] < 35.0) | (df["AROONU_14_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -450.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -300.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHk_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 30.0) | (df["AROONU_14_1d"] < 25.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 35.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 30.0) | (df["AROONU_14_1d"] < 50.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 1d downtrend, drop in last 20d & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["ROC_9_1d"] > -20.0) | (df["close"] > (df["high_max_20_1d"] * 0.50)) ) # 15m & 1h down move, 15m still not low enough, 1h still high, 4h still high & overbought, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 45.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 25.0) | (df["RSI_14_1d"] < 35.0) | (df["ROC_9_1d"] > -10.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not enough & downtrend, drop in last 30d & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 15.0) | (df["CCI_20_1h"] < -350.0) | (df["RSI_14_4h"] < 25.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -50.0) | (df["close"] > (df["high_max_30_1d"] * 0.25)) ) # 15m & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_3_1d"] > 35.0) | (df["RSI_14_15m"] < 20.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 35.0) | (df["ROC_9_1d"] > -40.0) ) # 15m & 1h down move, 15m still not low enough, 1h & 4h & 1d still high & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_14_15m"] < 15.0) | (df["RSI_14_1h"] < 40.0) | (df["CCI_20_1h"] < -0.0) | (df["STOCHk_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHk_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m downtrend, 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 60.0) | (df["CMF_20_15m"] > -0.20) | (df["RSI_14_1h"] < 30.0) | (df["UO_7_14_28_1h"] < 40.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 35.0) | (df["UO_7_14_28_4h"] < 40.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHk_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 25.0) | (df["STOCHk_14_3_3_15m"] < 5.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 35.0) | (df["CCI_20_4h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m still high, 1h & 4h still not low enough, 4h & 1d downtrend & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["WILLR_14_1h"] < -85.0) | (df["WILLR_14_4h"] < -95.0) | (df["ROC_9_4h"] > -15.0) | (df["ROC_9_1d"] > -40.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low & downtrend & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 30.0) | (df["RSI_14_1h"] < 30.0) | (df["RSI_14_4h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["RSI_14_1d"] < 40.0) | (df["ROC_9_1d"] > -30.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -300.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -300.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 25.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 40.0) | (df["ROC_9_1d"] > -10.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d downtrend & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 15.0) | (df["RSI_14_1h"] < 20.0) | (df["WILLR_14_1h"] < -95.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 30.0) | (df["WILLR_14_4h"] < -95.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h & 1d still high & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_14_15m"] < 15.0) | (df["STOCHk_14_3_3_15m"] < 15.0) | (df["RSI_14_1h"] < 30.0) | (df["WILLR_14_1h"] < -95.0) | (df["RSI_14_4h"] < 35.0) | (df["WILLR_14_4h"] < -90.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 40.0) | (df["STOCHk_14_3_3_1d"] < 30.0) ) # 15m & 1h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_1d"] > 10.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 40.0) | (df["WILLR_14_1h"] < -80.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 40.0) | (df["WILLR_14_4h"] < -80.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 30.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_3_1d"] > 35.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 15.0) | (df["AROONU_14_1h"] < 25.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 30.0) | (df["AROONU_14_1d"] < 25.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h & 1d still high & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 25.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -450.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 25.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 25.0) | (df["STOCHk_14_3_3_1d"] < 40.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 20.0) | (df["CMF_20_15m"] > -0.10) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 30.0) | (df["CMF_20_1h"] > -0.10) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 35.0) | (df["CMF_20_4h"] > -0.25) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 35.0) | (df["CMF_20_1d"] > -0.25) | (df["STOCHk_14_3_3_1d"] < 20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 10.0) | (df["CMF_20_15m"] > -0.25) | (df["MFI_14_15m"] > 5.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -350.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -350.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) # 15m & 1h & 4h & 1d dowmove, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 20.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -30.0) ) # 15m & 1h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_1d"] > 15.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 20.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -400.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 20.0) | (df["ROC_9_1d"] > -30.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 15.0) | (df["CCI_20_1h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -250.0) | (df["AROONU_14_4h"] < 25.0) | (df["RSI_14_1d"] < 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 15.0) | (df["MFI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 20.0) | (df["MFI_14_1h"] < 25.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 25.0) | (df["MFI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -250.0) | (df["RSI_14_1d"] < 25.0) | (df["ROC_9_1d"] > -10.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -250.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 15.0) | (df["CCI_20_1h"] < -450.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -450.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -250.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 25.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -450.0) | (df["RSI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -450.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -150.0) | (df["RSI_14_1d"] < 40.0) | (df["ROC_9_1d"] > -15.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 35.0) | (df["WILLR_14_1h"] < -95.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 35.0) | (df["WILLR_14_4h"] < -95.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 40.0) ) # 15m & 1h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -150.0) | (df["RSI_14_1h"] < 25.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -150.0) | (df["RSI_14_1d"] < 25.0) | (df["ROC_9_1d"] > -50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_3_1d"] > 20.0) | (df["RSI_14_15m"] < 20.0) | (df["MFI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 25.0) | (df["MFI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 25.0) | (df["MFI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 20.0) | (df["ROC_9_1d"] > -25.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 65.0) | (df["RSI_3_4h"] > 65.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 25.0) | (df["MFI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 25.0) | (df["MFI_14_1h"] < 25.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 30.0) | (df["MFI_14_4h"] < 25.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 30.0) | (df["CMF_20_1d"] > -0.20) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0) ) # 14m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_3_1d"] > 35.0) | (df["RSI_14_15m"] < 25.0) | (df["CMF_20_15m"] > -0.10) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 25.0) | (df["CMF_20_1h"] > -0.10) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 30.0) | (df["CMF_20_4h"] > -0.20) | (df["CCI_20_4h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 30.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & drop in last 30d & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 20.0) | (df["MFI_14_15m"] < 15.0) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 30.0) | (df["MFI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 30.0) | (df["MFI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 30.0) | (df["CMF_20_1d"] > -0.20) | (df["close"] > (df["high_max_30_1d"] * 0.40)) ) # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h & 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 20.0) | (df["CMF_20_15m"] > -0.20) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 30.0) | (df["MFI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -200.0) | (df["ROC_9_4h"] > -15.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d downtrend, drop in last 12d & 30d & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 5.0) | (df["CMF_20_15m"] < -0.60) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 20.0) | (df["CMF_20_1h"] < -0.45) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 25.0) | (df["CMF_20_4h"] < -0.45) | (df["CCI_20_4h"] < -200.0) | (df["ROC_9_1d"] > -20.0) | (df["close"] > (df["high_max_12_1d"] * 0.50)) | (df["close"] > (df["high_max_30_1d"] * 0.20)) ) # 15m & 1h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 35.0) | (df["WILLR_14_1h"] < -80.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -300.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 50.0) | (df["WILLR_14_4h"] < -75.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["RSI_14_1d"] < 35.0) | (df["AROONU_14_1d"] < 25.0) | (df["STOCHk_14_3_3_1d"] < 10.0) ) # 15m & 1h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_1d"] > 20.0) | (df["RSI_14_15m"] < 20.0) | (df["CMF_20_15m"] > -0.15) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 25.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 35.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 35.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough, drop in last 30d & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 20.0) | ((df["AROONU_14_15m"] == 0.0) & (df["AROOND_14_15m"] == 100.0)) | (df["UO_7_14_28_15m"] < 30.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 20.0) | ((df["AROONU_14_1h"] == 0.0) & (df["AROOND_14_1h"] == 100.0)) | (df["UO_7_14_28_1h"] < 35.0) | (df["OBV_1h"] > df["OBV_1h"].shift(36)) | (df["CCI_20_1h"] < -350.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 20.0) | ((df["AROONU_14_4h"] == 0.0) & (df["AROOND_14_4h"] == 100.0)) | (df["UO_7_14_28_4h"] < 40.0) | (df["OBV_4h"] > df["OBV_4h"].shift(144)) | (df["CCI_20_4h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 30.0) | (df["close"] > (df["high_max_30_1d"] * 0.55)) ) # 15m & 1h & 1d down move, 15m & 1h still not low enough, 4h still high, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_1d"] > 15.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 45.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 45.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -40.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -250.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 40.0) | (df["CMF_20_1d"] > -0.20) | (df["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) # 15m & 1h & 1d down move, 15m & 1h still not low enough, 4h still high, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 65.0) | (df["RSI_3_1d"] > 65.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -250.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 45.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["RSI_14_1d"] < 20.0) | (df["ROC_9_1d"] > -10.0) ) # 15m down move, 15m & 1h & 4h still not low enough, 1d downtrend, drop in last 20d & 30d & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_14_15m"] < 20.0) | (df["UO_7_14_28_15m"] < 25.0) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 30.0) | ((df["AROONU_14_1h"] == 0.0) & (df["AROOND_14_1h"] == 100.0)) | (df["UO_7_14_28_1h"] < 30.0) | (df["CCI_20_1h"] < -250.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 35.0) | ((df["AROONU_14_4h"] == 0.0) & (df["AROOND_14_4h"] == 100.0)) | (df["UO_7_14_28_4h"] < 30.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) | (df["ROC_9_1d"] > -30.0) | (df["close"] > (df["high_max_20_1d"] * 0.30)) | (df["close"] > (df["high_max_30_1d"] * 0.15)) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still now low enough & downtrend & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -150.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 15.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 35.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d downtrend & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -250.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 35.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHk_14_3_3_4h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["ROC_9_1d"] > -15.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 20.0) | (df["WILLR_14_15m"] < -95.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 20.0) | (df["WILLR_14_1h"] < -95.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 25.0) | (df["WILLR_14_4h"] < -95.0) | (df["CCI_20_4h"] < -350.0) | (df["STOCHk_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 20.0) | (df["MFI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 20.0) | (df["MFI_14_1h"] < 10.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 30.0) | (df["MFI_14_4h"] < 10.0) | (df["CCI_20_4h"] < -150.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 50.0) | (df["ROC_9_1d"] > -10.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_3_1d"] > 20.0) | (df["RSI_14_15m"] < 15.0) | (df["MFI_14_15m"] < 5.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 25.0) | (df["MFI_14_1h"] < 10.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 30.0) | (df["MFI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 40.0) | (df["MFI_14_1d"] < 45.0) | (df["AROONU_14_1d"] < 50.0) | (df["ROC_9_1d"] > -10.0) ) # 15m & 1h & 1d down move, 15m & 1h & 4h still not low enough, 1d downtrend & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_1d"] > 35.0) | (df["RSI_14_15m"] < 30.0) | (df["MFI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 35.0) | (df["MFI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 35.0) | (df["MFI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -100.0) | (df["ROC_9_1d"] > -50.0) ) # 15m & 1h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -150.0) | (df["RSI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 35.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 35.0) | (df["AROONU_14_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 40.0) | (df["WILLR_14_1h"] < -80.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHk_14_3_3_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 40.0) | (df["WILLR_14_4h"] < -80.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHk_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 40.0) ) # 15m & 1h & 4h & 1d down move, 15m & 4h still not low enough, 1d downtrend & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 40.0) | (df["AROONU_14_15m"] < 25.0) | (df["AROONU_14_4h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["AROONU_14_1d"] < 25.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h & 1d down move, 15m high, 1h & 4h & 1d downtrend & ( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["ROC_9_1h"] > -10.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_2_1d"] > -25.0) | (df["ROC_9_1d"] > -25.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough, 1d downtrend & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 40.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["WILLR_14_4h"] < -95.0) | (df["AROONU_14_1d"] < 25.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 1d still high & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 55.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 50.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 25.0) | (df["RSI_14_4h"] < 35.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["RSI_14_1d"] < 50.0) | (df["STOCHk_14_3_3_1d"] < 50.0) ) # 15m & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 25.0) | (df["RSI_14_1h"] < 35.0) | (df["MFI_14_1h"] < 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 35.0) | (df["MFI_14_4h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["MFI_14_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h & 1d still high & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -150.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 30.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 40.0) | (df["MFI_14_1d"] < 50.0) ) # 15m & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 75.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHk_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 40.0) | (df["CCI_20_4h"] < -150.0) | (df["STOCHk_14_3_3_4h"] < 10.0) | (df["RSI_14_1d"] < 50.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHk_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m& 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -200.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["RSI_14_1d"] < 40.0) | (df["ROC_9_1d"] > -30.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_3_1d"] > 35.0) | (df["RSI_14_15m"] < 20.0) | (df["STOCHk_14_3_3_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["RSI_14_1d"] < 35.0) | (df["STOCHk_14_3_3_1d"] < 20.0) | (df["ROC_9_1d"] > -15.0) ) # 15m & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_4h"] > 55.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 35.0) | (df["CCI_20_15m"] < -150.0) | (df["RSI_14_1h"] < 35.0) | (df["WILLR_14_1h"] < -90.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 35.0) | (df["WILLR_14_4h"] < -90.0) | (df["CCI_20_4h"] < -150.0) | (df["RSI_14_1d"] < 20.0) | (df["ROC_9_1d"] > -50.0) ) # 15m & 1d down move, 15m & 1h & 4h still high, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 40.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -15.0) ) # 15m down move, 15m & 1h & 4h still high & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_14_15m"] < 45.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -50.0) | (df["STOCHk_14_3_3_15m"] < 40.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m down move, 15m & 1h & 4h still high, 1d still not low enough & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_14_15m"] < 35.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["RSI_14_4h"] < 60.0) | (df["CMF_20_4h"] > -0.10) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["RSI_14_1d"] < 40.0) | (df["CMF_20_1d"] > -0.15) ) # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, drop in last 30d & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 45.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["close"] > (df["high_max_30_1d"] * 0.20)) ) # 15m & 1d down move, 15m still not low enough, 1h & 3h still high, 1d still not low enough & downtrend, drop in last 30d & ( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1d"] > 20.0) | (df["RSI_14_15m"] < 35.0) | (df["CCI_20_15m"] < -150.0) | (df["RSI_14_1h"] < 35.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 35.0) | (df["CCI_20_4h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["RSI_14_1d"] < 20.0) | (df["ROC_9_1d"] > -30.0) | (df["close"] > (df["high_max_30_1d"] * 0.25)) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -300.0) | (df["RSI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -300.0) | (df["RSI_14_1d"] < 35.0) | (df["AROONU_14_1d"] < 25.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend, drop in last 20d & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -500.0) | (df["RSI_14_1h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["CCI_20_1h"] < -500.0) | (df["RSI_14_4h"] < 25.0) | (df["CCI_20_4h"] < -250.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -20.0) | (df["close"] > (df["high_max_20_1d"] * 0.50)) ) # 15m & 1h & 1d down move, 15m & 1h still not low enough, 4h still high, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -150.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 50.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h & 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 15.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -400.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 20.0) | (df["CMF_20_4h"] > -0.25) | (df["CCI_20_4h"] < -150.0) | (df["ROC_9_4h"] > -15.0) | (df["RSI_14_1d"] < 25.0) | (df["CMF_20_1d"] > -0.30) | (df["ROC_9_1d"] > -30.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1h still high & downtrend & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 10.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 30.0) | (df["CMF_20_4h"] < -0.30) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 40.0) | (df["CMF_20_1d"] < 0.20) | (df["AROONU_14_1d"] < 50.0) | (df["ROC_2_1d"] > -20.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still high, 4h & 1d downtrend & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 55.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -30.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h high, 1d downtrend & ( (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 35.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -30.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d downtrend & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 30.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 30.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["ROC_9_1d"] > -20.0) ) # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still not low enough & downtrend & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 35.0) | (df["CMF_20_15m"] > -0.25) | (df["RSI_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 30.0) | (df["MFI_14_1h"] < 10.0) | (df["ROC_9_1h"] > -10.0) | (df["RSI_14_4h"] < 40.0) | (df["MFI_14_4h"] < 20.0) | (df["ROC_9_4h"] > -15.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["RSI_14_1h"] < 20.0) | (df["MFI_14_1h"] < 20.0) | (df["RSI_14_4h"] < 30.0) | (df["MFI_14_4h"] < 30.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 50.0) ) # 15m & 1h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_1d"] > 20.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 25.0) | (df["CCI_20_1h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 25.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 25.0) | (df["ROC_9_1d"] > -50.0) ) # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -40.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend, drop in last 30d & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 15.0) | (df["CMF_20_15m"] < -0.50) | (df["MFI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 35.0) | (df["CMF_20_1h"] < -0.25) | (df["MFI_14_1h"] < 15.0) | (df["WILLR_14_1h"] < -95.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 35.0) | (df["CMF_20_4h"] < -0.25) | (df["MFI_14_4h"] < 30.0) | (df["WILLR_14_4h"] < -95.0) | (df["CCI_20_4h"] < -250.0) | (df["RSI_14_1d"] < 40.0) | (df["CMF_20_1d"] > -0.10) | (df["CMF_20_1d"] < -0.25) | (df["MFI_14_1d"] < 40.0) | (df["ROC_9_1d"] > -10.0) | (df["close"] > (df["high_max_12_1d"] * 0.50)) ) # 15m & 1h & & 4h & 1d down move, 15m & 1h still not low enough, 4h & 1d still not low enough & downtrend, drop in last 30d & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_3_1d"] > 20.0) | (df["RSI_14_15m"] < 20.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 20.0) | (df["CCI_20_4h"] < -200.0) | (df["ROC_9_4h"] > -15.0) | (df["RSI_14_1d"] < 20.0) | (df["ROC_9_1d"] > -30.0) | (df["close"] > (df["high_max_30_1d"] * 0.25)) ) # 15m & 1h & 4h & 1d down move, 15m high, 1h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 45.0) | (df["AROONU_14_15m"] < 75.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_15m"] < 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 30.0) | (df["AROONU_14_1d"] < 75.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1h & 4h downtrend & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 20.0) | (df["RSI_14_1h"] < 30.0) | (df["ROC_9_1h"] > -30.0) | (df["RSI_14_4h"] < 30.0) | (df["AROONU_14_4h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["ROC_9_4h"] > -50.0) ) # 15m & 1d down move, 15m still not low enough, 1h still high, 4h high, 1d still not low enough & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_3_1d"] > 20.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -250.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["RSI_14_4h"] < 60.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 100.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["RSI_14_1d"] < 30.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 20.0) ) # 15m down move, 15m & 1h still high, 4h high, 1d downtrend & ( (df["RSI_3_15m"] > 45.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -25.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h & 1d still not low enough & downtrend, drop in last 30d & ( (df["RSI_3_15m"] > 50.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 10.0) | (df["CMF_20_15m"] < -0.40) | (df["UO_7_14_28_15m"] < 20.0) | (df["OBV_15m"] > df["OBV_15m"].shift(12)) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 10.0) | (df["CMF_20_1h"] < -0.40) | (df["UO_7_14_28_1h"] < 20.0) | (df["OBV_1h"] > df["OBV_1h"].shift(36)) | (df["CCI_20_1h"] < -350.0) | (df["RSI_14_4h"] < 20.0) | (df["CMF_20_4h"] < -0.40) | (df["UO_7_14_28_4h"] < 20.0) | (df["OBV_4h"] > df["OBV_4h"].shift(144)) | (df["CCI_20_4h"] < -250.0) | (df["ROC_9_4h"] > -10.0) | (df["RSI_14_1d"] < 20.0) | (df["CMF_20_1d"] < -0.40) | (df["ROC_9_1d"] > -10.0) | (df["close"] > (df["high_max_30_1d"] * 0.50)) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 50.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_4h"] > 55.0) | (df["RSI_3_1d"] > 55.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 50.0) | (df["CCI_20_15m"] < -300.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -300.0) | (df["RSI_14_4h"] < 35.0) | (df["CCI_20_4h"] < -150.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["RSI_14_1d"] < 40.0) | (df["AROONU_14_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend, drop in last 30d & ( (df["RSI_3_15m"] > 50.0) | (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 60.0) | (df["RSI_3_1d"] > 30.0) | (df["RSI_14_15m"] < 10.0) | (df["CMF_20_15m"] < -0.40) | (df["UO_7_14_28_15m"] < 20.0) | (df["CCI_20_15m"] < -500.0) | ((df["RSI_3_15m"] > 5.0) & (df["AROONU_14_15m"] < 50.0)) | (df["RSI_14_1h"] < 10.0) | (df["CMF_20_1h"] < -0.40) | (df["UO_7_14_28_1h"] < 20.0) | (df["CCI_20_1h"] < -400.0) | (df["RSI_14_4h"] < 20.0) | (df["CMF_20_4h"] < -0.40) | (df["UO_7_14_28_4h"] < 20.0) | (df["CCI_20_4h"] < -250.0) | (df["RSI_14_1d"] < 20.0) | (df["CMF_20_1d"] < -0.45) | (df["CMF_20_1d"] > -0.20) | (df["STOCHRSIk_14_14_3_3_1d"] < 20.0) | (df["ROC_9_1d"] > -15.0) | (df["close"] > (df["high_max_30_1d"] * 0.45)) ) # 15m & 1h & 4h down move, 15m & 1h & 4h & 1d still not low enough & ( (df["RSI_3_15m"] > 55.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_15m"] < 20.0) | (df["STOCHk_14_3_3_15m"] < 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 40.0) | (df["UO_7_14_28_1h"] < 40.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHk_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) | (df["UO_7_14_28_4h"] < 40.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["RSI_14_1d"] < 50.0) ) # 15m & 1h & 4h & 1d down move, 15m high, 1h & 4h still high & ( (df["RSI_3_15m"] > 60.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 50.0) | (df["AROONU_14_15m"] < 75.0) | (df["CCI_20_15m"] < 100.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["RSI_14_1h"] < 35.0) | (df["AROONU_14_1h"] < 25.0) | (df["CCI_20_1h"] < -150.0) | (df["RSI_14_4h"] < 35.0) | (df["AROONU_14_4h"] < 50.0) | (df["CCI_20_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 15m & 1h & 4h & 1d down move, 15m still not low enough, 1h & 4h & 1d still not low ennough & downtrend, drop in last 30d & ( (df["RSI_3_15m"] > 60.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 45.0) | (df["RSI_14_15m"] < 20.0) | ((df["AROONU_14_15m"] == 0.0) & (df["AROOND_14_15m"] == 100.0)) | (df["CCI_20_15m"] < -350.0) | (df["RSI_14_1h"] < 10.0) | ((df["AROONU_14_1h"] == 0.0) & (df["AROOND_14_1h"] == 100.0)) | (df["UO_7_14_28_1h"] < 25.0) | (df["CCI_20_1h"] < -350.0) | (df["ROC_9_1h"] > -10.0) | (df["RSI_14_4h"] < 15.0) | ((df["AROONU_14_4h"] == 0.0) & (df["AROOND_14_4h"] == 100.0)) | (df["UO_7_14_28_4h"] < 25.0) | (df["CCI_20_4h"] < -350.0) | (df["ROC_9_4h"] > -10.0) | (df["RSI_14_1d"] < 20.0) | (df["ROC_9_1d"] > -20.0) | (df["close"] > (df["high_max_30_1d"] * 0.40)) ) # 15m & 1h & 4h & 1d down move, 15m high, 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["RSI_3_15m"] > 65.0) | (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 20.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -100.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0) | (df["RSI_14_1h"] < 20.0) | (df["CCI_20_1h"] < -250.0) | (df["RSI_14_4h"] < 15.0) | (df["CCI_20_4h"] < -200.0) | (df["RSI_14_1d"] < 20.0) | (df["ROC_9_1d"] > -20.0) ) # 1h & 4h & 1d down move, 14m still not low enough, 1h & 4h downtrend, 1d still not low enough & downtrend & ( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 10.0) | (df["RSI_14_15m"] < 20.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["CMF_20_1h"] > -0.25) | (df["CMF_20_4h"] > -0.25) | (df["RSI_14_1d"] < 20.0) | (df["AROONU_14_1d"] < 50.0) | (df["ROC_9_1d"] > -40.0) ) # 1h & 4h & 1d down move, 15m still high, 1h not low enough, 4h still high, 1d not low enough, 1d downtrend & ( (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["WILLR_14_1h"] < -95.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["AROONU_14_1d"] < 25.0) | (df["ROC_2_1d"] > -25.0) | (df["ROC_9_1d"] > -25.0) ) # 5m red, 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["change_pct"] > -5.0) | (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 60.0) | (df["RSI_14_15m"] < 25.0) | (df["CCI_20_15m"] < -250.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 30.0) | (df["CCI_20_1h"] < -200.0) | (df["RSI_14_4h"] < 30.0) | (df["CCI_20_4h"] < -200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["RSI_14_1d"] < 40.0) ) # 1h green with top wick, 15m high, 1h & 4h still high & ( (df["change_pct_1h"] < 10.0) | (df["top_wick_pct_1h"] < 10.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["RSI_14_1h"] < 40.0) | (df["RSI_14_4h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) ) # 4h red, 15m & 4h down move, 15m & 1h & 4h & 1d still high & ( (df["change_pct_4h"] > -4.0) | (df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 4h red, 15m & 4h down move, 15m still not low enough, 1h & 4h & 1d still high & ( (df["change_pct_4h"] > -4.0) | (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 4h P&D, 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["change_pct_4h"] > -5.0) | (df["change_pct_4h"].shift(48) < 5.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 50.0) | (df["RSI_3_1d"] > 50.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 30.0) | (df["RSI_14_4h"] < 35.0) | (df["AROONU_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["AROONU_14_1d"] < 50.0) ) # 4h red, 1h & 4h & 1d down move, 1h & 4h still not low enough, 4h & 1d downtrend & ( (df["change_pct_4h"] > -10.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_1h"] < 30.0) | (df["RSI_14_4h"] < 30.0) | (df["CMF_20_4h"] > -0.25) | (df["RSI_14_1d"] < 40.0) ) # 4h green with top wick, 15m down move, 15m still high, 1h & 4h high & ( (df["change_pct_4h"] < 20.0) | (df["top_wick_pct_4h"] < 20.0) | (df["RSI_3_15m"] > 40.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_15m"] < 25.0) | (df["CCI_20_15m"] < -100.0) | (df["RSI_14_1h"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["CCI_20_1h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["RSI_14_4h"] < 60.0) | (df["AROONU_14_4h"] < 75.0) | (df["CCI_20_4h"] < 200.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 1d red, 15m & 1h & 4h & 1d down move, 4h stil not low enough, 1d still high, 4h downtrend & ( (df["change_pct_1d"] > -10.0) | (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_4h"] < 25.0) | (df["AROONU_14_1d"] < 50.0) | (df["ROC_9_4h"] > -15.0) ) # 1d red, 4h & 1d down move, 1h & 4h still not low enough & downtrend, 1d downtrend & ( (df["change_pct_1d"] > -10.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["RSI_14_1h"] < 20.0) | (df["CMF_20_1h"] > -0.25) | (df["RSI_14_4h"] < 25.0) | (df["CMF_20_1h"] > -0.25) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -30.0) ) # 1d red, 1h still not low enough, 4h & 1d still not low enough & downtrend & ( (df["change_pct_1d"] > -10.0) | (df["RSI_14_1h"] < 20.0) | (df["RSI_14_4h"] < 20.0) | (df["CMF_20_4h"] > -0.40) | (df["ROC_9_4h"] > -20.0) | (df["RSI_14_1d"] < 30.0) | (df["CMF_20_1d"] > -0.50) | (df["ROC_9_1d"] > -50.0) ) # 1d red with top wick, 4h down move, 15m high, 1h & 4h still not low enough, 4h downtrend & ( (df["change_pct_1d"] > -10.0) | (df["top_wick_pct_1d"] < 10.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["AROONU_14_4h"] < 25.0) | (df["ROC_9_4h"] > -20.0) ) # 1d P&D, 15m & 1d down move, 15m & 1h & 4h still not low enough, 1d still not low enough & downtrend & ( (df["change_pct_1d"] > -10.0) | (df["change_pct_1d"].shift(288) < 10.0) | (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1d"] > 40.0) | (df["RSI_14_15m"] < 30.0) | (df["CCI_20_15m"] < -200.0) | (df["RSI_14_1h"] < 30.0) | (df["WILLR_14_1h"] < -90.0) | (df["AROONU_14_1h"] < 50.0) | (df["CCI_20_1h"] < -100.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 30.0) | (df["WILLR_14_4h"] < -90.0) | (df["CCI_20_4h"] < -100.0) | (df["RSI_14_1d"] < 30.0) | (df["ROC_9_1d"] > -20.0) ) # 1d P&D, 1d down move, 15m & 1h & 4h still not low enough, 1d still high & ( (df["change_pct_1d"] > -10.0) | (df["change_pct_1d"].shift(288) < 10.0) | (df["RSI_3_1d"] > 50.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHk_14_3_3_15m"] < 5.0) | (df["RSI_14_1h"] < 35.0) | (df["WILLR_14_1h"] < -95.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["RSI_14_4h"] < 40.0) | (df["WILLR_14_4h"] < -95.0) | (df["RSI_14_1d"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 1d P&D, 1h & 4h down move, 15m & 1h & 4h still not low enough & ( (df["change_pct_1d"] > -10.0) | (df["change_pct_1d"].shift(288) < 40.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_4h"] > 50.0) | (df["STOCHk_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 30.0) | (df["WILLR_14_1h"] < -95.0) | (df["RSI_14_4h"] < 40.0) | (df["WILLR_14_4h"] < -80.0) | (df["AROONU_14_4h"] < 25.0) | (df["STOCHk_14_3_3_4h"] < 40.0) ) # 1d red, 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["change_pct_1d"] > -15.0) | (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 45.0) | (df["RSI_3_1d"] > 35.0) | (df["RSI_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["RSI_14_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["RSI_14_4h"] < 30.0) | (df["RSI_14_1d"] < 35.0) | (df["AROONU_14_1d"] < 75.0) ) # 1d red, 15m & 1d down move, 15m still high, 1h high, 1d still not low enough & ( (df["change_pct_1d"] > -15.0) | (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1d"] > 35.0) | (df["RSI_14_15m"] < 35.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["RSI_14_1d"] < 35.0) | (df["AROONU_14_1d"] < 75.0) ) # 1d red, 15m & 1h & 4h & 1d down move, 15m & 1h & 4h & 1d still not low enough & ( (df["change_pct_1d"] > -15.0) | (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_3_1d"] > 35.0) | (df["RSI_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["RSI_14_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["RSI_14_4h"] < 30.0) | (df["RSI_14_1d"] < 35.0) ) # 1d red, 1d down move, 1h low, 4h low & downtrend, 1d not low enough & downtrend & ( (df["change_pct_1d"] > -20.0) | (df["RSI_3_1d"] > 10.0) | (df["CMF_20_1h"] > -0.15) | (df["CMF_20_4h"] > -0.30) | (df["ROC_9_4h"] > -20.0) | (df["RSI_14_1d"] < 20.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 30.0) | (df["ROC_9_1d"] > -30.0) ) # 1d P&D, 15m down move, 15m still not low enough, 1h & 4h & 1d still high & ( (df["change_pct_1d"] > -20.0) | (df["change_pct_1d"].shift(288) < 20.0) | (df["RSI_3_15m"] > 40.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["AROONU_14_4h"] < 25.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 1d red, 15m & 1h & 4h down move, 1h & 4h still not low enough, 1d still high & ( (df["change_pct_1d"] > -30.0) | (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["AROONU_14_4h"] < 25.0) | (df["AROONU_14_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 20.0) ) # 1d green with top wick, 4h down move, 4h still high, 4h overbought & ( (df["change_pct_1d"] < 20.0) | (df["top_wick_pct_1d"] < 20.0) | (df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_4h"] < 50.0) ) # 1d green, 15m & 1h & 4h down move, 15m still not low enough 1h & 4h & 1d still high & ( (df["change_pct_1d"] < 20.0) | (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 55.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["AROONU_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ) df["protections_long_rebuy"] = True # Global protections Short df["protections_short_global"] = True df["global_protections_short_pump"] = ( # 15m & 1h & 4h & 1d up move, 15m & 1h & 4h still not high enough, 1d still not high enough & uptrend ( (df["RSI_3_15m"] < 40.0) | (df["RSI_3_1h"] < 40.0) | (df["RSI_3_4h"] < 85.0) | (df["RSI_3_1d"] < 85.0) | (df["RSI_14_15m"] > 70.0) | (df["CCI_20_15m"] > 350.0) | (df["RSI_14_1h"] > 75.0) | (df["CCI_20_1h"] > 250.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) | (df["RSI_14_4h"] > 95.0) | (df["AROOND_14_4h"] < 50.0) | (df["CCI_20_4h"] > 250.0) | (df["RSI_14_1d"] > 60.0) | (df["AROOND_14_1d"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 70.0) | (df["ROC_9_1d"] < 40.0) ) # 15m & 1h & 4h & 1d up move, 15m & 1h & 4h still not high enough, 1d still not high enough & uptrend & ( (df["RSI_3_15m"] < 60.0) | (df["RSI_3_1h"] < 60.0) | (df["RSI_3_4h"] < 80.0) | (df["RSI_3_1d"] < 90.0) | (df["RSI_14_15m"] > 90.0) | (df["CCI_20_15m"] > 350.0) | (df["RSI_14_1h"] > 90.0) | (df["CCI_20_1h"] > 300.0) | (df["RSI_14_4h"] > 80.0) | (df["CCI_20_4h"] > 200.0) | (df["RSI_14_1d"] > 95.0) | (df["ROC_9_1d"] < 80.0) ) # 1d green, 15m & 1h & 4h & 1d up move, 4h & 1d still not high enough & uptrend & ( (df["RSI_3_15m"] < 60.0) | (df["RSI_3_1h"] < 70.0) | (df["RSI_3_4h"] < 70.0) | (df["RSI_3_1d"] < 80.0) | (df["RSI_14_4h"] > 70.0) | (df["WILLR_14_4h"] > -10.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 80.0) | (df["ROC_9_4h"] < 40.0) | (df["RSI_14_1d"] > 80.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 1h & 1d up move, 15m & 1h & 4h still not high enough, 1d still not high enough & uptrend & ( (df["RSI_3_15m"] < 65.0) | (df["RSI_3_1h"] < 70.0) | (df["RSI_3_1d"] < 60.0) | (df["RSI_14_15m"] > 90.0) | (df["CMF_20_15m"] > 0.40) | (df["WILLR_14_15m"] > -10.0) | (df["CCI_20_15m"] > 450.0) | (df["STOCHk_14_3_3_15m"] > 90.0) | (df["RSI_14_1h"] > 90.0) | (df["CMF_20_1h"] > 0.20) | (df["WILLR_14_1h"] > -5.0) | (df["CCI_20_1h"] > 250.0) | (df["RSI_14_4h"] > 90.0) | (df["CMF_20_4h"] > 0.10) | (df["CCI_20_4h"] > 250.0) | (df["RSI_14_1d"] > 90.0) | (df["ROC_9_1d"] < 25.0) ) # 15m & 1h & 4h & 1d up move, 15m & 1h & 4h & 1d still not high enough, 1d uptrend & ( (df["RSI_3_15m"] < 70.0) | (df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 80.0) | (df["RSI_3_1d"] < 80.0) | (df["MFI_14_15m"] > 90.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 90.0) | (df["MFI_14_1h"] > 90.0) | (df["MFI_14_4h"] > 80.0) | (df["WILLR_14_4h"] > -5.0) | (df["AROOND_14_4h"] < 50.0) | (df["ROC_9_1d"] < 40.0) ) # 15m & 1h up move, 15m & 1h & 4h still not high enough, 1d still not high enough & uptrend & ( (df["RSI_3_15m"] < 70.0) | (df["RSI_3_1h"] < 85.0) | (df["MFI_14_15m"] > 90.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 80.0) | (df["RSI_14_1h"] > 80.0) | (df["MFI_14_1h"] > 80.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["RSI_14_4h"] > 80.0) | (df["RSI_14_1d"] > 80.0) | (df["ROC_9_1d"] < 40.0) ) # 15m & 1h & 4h & 1d up move, 15m & 1h still not high enough, 4h & 1d stil not high enough & uptrend & ( (df["RSI_3_15m"] < 80.0) | (df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 80.0) | (df["RSI_3_1d"] < 95.0) | (df["RSI_14_15m"] > 85.0) | (df["CCI_20_15m"] > 250.0) | (df["RSI_14_1h"] > 85.0) | (df["CCI_20_1h"] > 250.0) | (df["CCI_20_change_pct_1h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 90.0) | (df["RSI_14_4h"] > 85.0) | (df["CCI_20_4h"] > 250.0) | (df["CCI_20_change_pct_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 90.0) | (df["ROC_9_4h"] < 30.0) | (df["RSI_14_1d"] > 90.0) | (df["WILLR_14_1d"] > -10.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 1h & 4h up move, 15m & 1h still not high enough, 4h still not high enough & uptrend & ( (df["RSI_3_15m"] < 80.0) | (df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 90.0) | (df["RSI_14_15m"] > 90.0) | (df["CCI_20_15m"] > 400.0) | (df["RSI_14_1h"] > 90.0) | (df["CCI_20_1h"] > 400.0) | (df["CCI_20_4h"] > 400.0) | (df["ROC_9_4h"] < 200.0) ) # 15m & 1h up move, 15m & 1h & 4h still not high enough, 1d still not high enough & uptrend & ( (df["RSI_3_15m"] < 80.0) | (df["RSI_3_1h"] < 90.0) | (df["RSI_14_15m"] > 85.0) | (df["CCI_20_15m"] > 250.0) | (df["RSI_14_1h"] > 75.0) | (df["AROOND_14_1h"] < 50.0) | (df["CCI_20_1h"] > 350.0) | (df["CCI_20_change_pct_1h"] < -0.0) | (df["RSI_14_4h"] > 85.0) | (df["CCI_20_4h"] > 150.0) | (df["CCI_20_change_pct_4h"] < -0.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) | (df["RSI_14_1d"] > 85.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 1h & 4h & 1d up move, 15m & 1h & 4h & 1d still not high enough & ( (df["RSI_3_15m"] < 80.0) | (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 70.0) | (df["RSI_3_1d"] < 70.0) | (df["RSI_14_15m"] > 85.0) | (df["RSI_14_1h"] > 85.0) | (df["CCI_20_1h"] > 250.0) | (df["CCI_20_change_pct_1h"] < -0.0) | (df["RSI_14_4h"] > 70.0) | (df["AROOND_14_4h"] < 75.0) | (df["CCI_20_4h"] > 200.0) | (df["CCI_20_change_pct_4h"] < -0.0) | (df["STOCHk_14_3_3_4h"] > 70.0) | (df["RSI_14_1d"] > 70.0) ) # 15m & 1h & 4h & 1d up move, 1h still not high enough, 1d still low, 4h & 1d uptrend & ( (df["RSI_3_15m"] < 80.0) | (df["RSI_3_1h"] < 85.0) | (df["RSI_3_4h"] < 90.0) | (df["RSI_3_1d"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 60.0) | (df["AROOND_14_1d"] < 50.0) | (df["ROC_9_4h"] < 100.0) | (df["ROC_9_1d"] < 100.0) ) # 15m & 1h & 4h & 1d up move, 15m & 1h still not high enough, 4h & 1d still not high enough & uptrend & ( (df["RSI_3_15m"] < 80.0) | (df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 90.0) | (df["RSI_3_1d"] < 95.0) | (df["RSI_14_15m"] > 85.0) | (df["STOCHk_14_3_3_15m"] > 90.0) | (df["RSI_14_1h"] > 90.0) | (df["STOCHk_14_3_3_1h"] > 90.0) | (df["RSI_14_4h"] > 95.0) | (df["STOCHk_14_3_3_4h"] > 90.0) | (df["ROC_9_4h"] < 50.0) | (df["RSI_14_1d"] > 95.0) | (df["STOCHk_14_3_3_1d"] > 70.0) | (df["AROOND_14_1d"] < 50.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 1h & 4h up move, 1h & 4h still not high enough, 1d uptrend & ( (df["RSI_3_15m"] < 85.0) | (df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 60.0) | (df["WILLR_14_1h"] > -5.0) | (df["AROOND_14_1h"] < 25.0) | (df["WILLR_14_4h"] > -10.0) | (df["AROOND_14_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 1h & 4h up move, 15m still not high enough, 1h & 4h still not high enough & uptrend, 1d still not high enough & ( (df["RSI_3_15m"] < 85.0) | (df["RSI_3_1h"] < 85.0) | (df["RSI_3_4h"] < 90.0) | (df["RSI_14_15m"] > 95.0) | (df["CMF_20_15m"] > 0.50) | (df["UO_7_14_28_15m"] > 80.0) | (df["UO_7_14_28_change_pct_15m"] < -0.0) | (df["CCI_20_15m"] > 250.0) | (df["STOCHk_14_3_3_15m"] > 90.0) | (df["RSI_14_1h"] > 95.0) | (df["CMF_20_1h"] > 0.50) | (df["UO_7_14_28_1h"] > 80.0) | (df["CCI_20_1h"] > 350.0) | (df["ROC_9_1h"] < 10.0) | (df["RSI_14_4h"] > 90.0) | (df["CMF_20_4h"] > 0.35) | (df["UO_7_14_28_4h"] > 75.0) | (df["CCI_20_4h"] > 500.0) | (df["ROC_2_4h"] < 10.0) | (df["ROC_9_4h"] < 10.0) | (df["RSI_14_1d"] > 70.0) ) # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 1d still not high enough & overbought & ( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_1h"] < 60.0) | (df["RSI_3_4h"] < 60.0) | (df["RSI_14_15m"] > 85.0) | (df["CCI_20_15m"] > 250.0) | (df["RSI_14_1h"] > 70.0) | (df["CCI_20_1h"] > 200.0) | (df["STOCHk_14_3_3_1h"] > 90.0) | (df["RSI_14_4h"] > 65.0) | (df["CCI_20_4h"] > 200.0) | (df["STOCHk_14_3_3_4h"] > 90.0) | (df["RSI_14_1d"] > 65.0) | (df["STOCHk_14_3_3_1d"] > 70.0) | (df["ROC_9_1d"] < 30.0) ) # 15m & 1h & 4h & 1d up move, 15m & 1h & 4h still not high enough. 1d still not high enough & uptrend & ( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 80.0) | (df["RSI_3_1d"] < 80.0) | (df["RSI_14_15m"] > 90.0) | (df["RSI_14_1h"] > 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["RSI_14_4h"] > 90.0) | (df["WILLR_14_4h"] > -5.0) | (df["RSI_14_1d"] > 80.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 80.0) | (df["ROC_9_1d"] < 40.0) ) # 15m & 1h & 4h up move, 15m & 1h still not high enough, 4h still not high enough & uptrend & ( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 90.0) | (df["RSI_14_15m"] > 90.0) | (df["CCI_20_15m"] > 250.0) | (df["RSI_14_1h"] > 90.0) | (df["AROOND_14_1h"] < 25.0) | (df["CCI_20_1h"] > 300.0) | (df["STOCHk_14_3_3_1h"] > 90.0) | (df["RSI_14_4h"] > 95.0) | (df["CCI_20_4h"] > 300.0) | (df["ROC_9_4h"] < 20.0) ) # 1h & 4h & 1d up move, 15m still not high enough, 1h & 4h & 1d still not high enough, 1d uptrend & ( (df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 60.0) | (df["RSI_3_1d"] < 90.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 80.0) | (df["WILLR_14_1h"] > -20.0) | (df["WILLR_14_4h"] > -25.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 20.0) | (df["AROOND_14_1d"] < 50.0) | (df["ROC_9_1d"] < 20.0) ) ) df["global_protections_short_dump"] = ( # 15m & 1h up move, 15m & 1h still not high enough, 4h still low, 1d still low & downtrend ( (df["RSI_3_15m"] < 80.0) | (df["RSI_3_1h"] < 70.0) | (df["RSI_14_15m"] > 80.0) | (df["CCI_20_15m"] > 400.0) | (df["RSI_14_1h"] > 75.0) | (df["CCI_20_1h"] > 250.0) | (df["RSI_14_4h"] > 60.0) | (df["AROOND_14_4h"] < 50.0) | (df["CCI_20_4h"] > 200.0) | (df["RSI_14_1d"] > 50.0) | (df["AROOND_14_1d"] < 75.0) | (df["ROC_9_1d"] > -30.0) ) # 15m up move, 15m still low, 1h & 4h & 1d still not high & ( (df["RSI_3_15m"] < 85.0) | (df["AROOND_14_15m"] < 50.0) | (df["RSI_14_1h"] > 70.0) | (df["WILLR_14_1h"] > -50.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 80.0) | (df["AROOND_14_1h"] < 75.0) | (df["RSI_14_4h"] > 70.0) | (df["WILLR_14_4h"] > -50.0) | (df["AROOND_14_4h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) | (df["RSI_14_1d"] > 70.0) ) # 1h & 4h up move, 15m & 1h & 4h still not high enough, 1d still low & downtrend & ( (df["RSI_3_1h"] < 70.0) | (df["RSI_3_4h"] < 90.0) | (df["RSI_14_15m"] > 95.0) | (df["CCI_20_15m"] > 600.0) | (df["RSI_14_1h"] > 95.0) | (df["CCI_20_1h"] > 600.0) | (df["RSI_14_4h"] > 95.0) | (df["WILLR_14_4h"] > -10.0) | (df["CCI_20_4h"] > 600.0) | (df["RSI_14_1d"] > 40.0) | (df["ROC_9_1d"] > -20.0) ) ) df["protections_short_rebuy"] = True tok = time.perf_counter() log.debug(f"[{metadata['pair']}] Populate indicators took a total of: {tok - tik:0.4f} seconds.") return df # Confirm Trade Entry # --------------------------------------------------------------------------------------------- def confirm_trade_entry( self, pair: str, order_type: str, amount: float, rate: float, time_in_force: str, current_time: datetime, entry_tag: Optional[str], side: str, **kwargs, ) -> bool: # Force Entry if entry_tag == "force_entry": return True # Mode configurations (dynamic structure) mode_configs = { "grind": { "tags": self.long_grind_mode_tags, "coins": self.grind_mode_coins, "max_slots": self.grind_mode_max_slots, "log_message": "grind mode", }, "top_coins": { "tags": self.long_top_coins_mode_tags, "coins": self.top_coins_mode_coins, "log_message": "top coins mode", }, "derisk": { "tags": self.long_derisk_mode_tags, "min_free_slots": self.min_free_slots_derisk_mode, "log_message": "derisk mode", }, } # Mode Validation for mode, config in mode_configs.items(): if all(c in config["tags"] for c in entry_tag.split()): if mode == "grind": return self._handle_grind_mode(pair, config, current_time) elif mode == "top_coins": return self._handle_top_coins_mode(pair, config, current_time) elif mode == "derisk": return self._handle_derisk_mode(pair, config, current_time) # Long/Short Slot Validation (only in futures mode) if self.is_futures_mode and self.futures_max_open_trades_long != 0 and self.futures_max_open_trades_short != 0: open_trades = Trade.get_trades_proxy(is_open=True) long_trades = sum(1 for t in open_trades if t.trade_direction == "long") short_trades = sum(1 for t in open_trades if t.trade_direction == "short") # Long trade limit validation if side == "long" and long_trades >= self.futures_max_open_trades_long: log.info( f"[{current_time}] Cancelling entry for {pair} due to long trades reaching the max limit of {self.futures_max_open_trades_long}." ) return False # Short trade limit validation if side == "short" and short_trades >= self.futures_max_open_trades_short: log.info( f"[{current_time}] Cancelling entry for {pair} due to short trades reaching the max limit of {self.futures_max_open_trades_short}." ) return False # Slippage Validation df, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) if len(df) >= 1: last_candle = df.iloc[-1].squeeze() if (side == "long" and rate > last_candle["close"]) or (side == "short" and rate < last_candle["close"]): slippage = (rate / last_candle["close"]) - 1.0 if (side == "long" and slippage < self.max_slippage) or (side == "short" and slippage > -self.max_slippage): return True else: log.warning(f"[{current_time}] Cancelling entry for {pair} due to slippage {(slippage * 100.0):.2f}%") return False return True def _handle_grind_mode(self, pair: str, config: dict, current_time: datetime) -> bool: is_pair_grind_mode = pair.split("/")[0] in config["coins"] if not is_pair_grind_mode: log.info(f"[{current_time}] Cancelling entry for {pair} due to not being in grind mode coins list.") return False open_trades = Trade.get_trades_proxy(is_open=True) num_open_grind_mode = sum(1 for t in open_trades if all(c in config["tags"] for c in t.enter_tag.split())) if num_open_grind_mode >= config["max_slots"]: log.info(f"[{current_time}] Cancelling entry for {pair} due to grind mode slots limit reached.") return False return True def _handle_top_coins_mode(self, pair: str, config: dict, current_time: datetime) -> bool: is_pair_top_coins_mode = pair.split("/")[0] in config["coins"] if not is_pair_top_coins_mode: log.info(f"[{current_time}] Cancelling entry for {pair} due to not being in top coins list.") return False return True def _handle_derisk_mode(self, pair: str, config: dict, current_time: datetime) -> bool: current_free_slots = self.config["max_open_trades"] - Trade.get_open_trade_count() if current_free_slots < config["min_free_slots"]: log.info(f"[{current_time}] Cancelling entry for {pair} due to insufficient free slots.") return False return True # Confirm Trade Exit # --------------------------------------------------------------------------------------------- def confirm_trade_exit( self, pair: str, trade: Trade, order_type: str, amount: float, rate: float, time_in_force: str, exit_reason: str, current_time: datetime, **kwargs, ) -> bool: # Allow force exits if exit_reason != "force_exit": if self._should_hold_trade(trade, rate, exit_reason): return False if exit_reason in ["stop_loss", "trailing_stop_loss", "liquidation"]: log.info(f"[{current_time}] Cancelling {exit_reason} exit for {pair}") return False if self.exit_profit_only: profit = 0.0 if trade.realized_profit != 0.0: profit = ((rate - trade.open_rate) / trade.open_rate) * trade.stake_amount * (1 - trade.fee_close) profit = profit + trade.realized_profit profit = profit / trade.stake_amount else: profit = trade.calc_profit_ratio(rate) if profit < self.exit_profit_offset: return False self._remove_profit_target(pair) return True # Bot Loop Start # --------------------------------------------------------------------------------------------- def bot_loop_start(self, current_time: datetime, **kwargs) -> None: if self.config["runmode"].value not in ("live", "dry_run"): return super().bot_loop_start(datetime, **kwargs) if self.hold_support_enabled: self.load_hold_trades_config() return super().bot_loop_start(current_time, **kwargs) # Leverage # --------------------------------------------------------------------------------------------- def leverage( self, pair: str, current_time: datetime, current_rate: float, proposed_leverage: float, max_leverage: float, entry_tag: Optional[str], side: str, **kwargs, ) -> float: enter_tags = entry_tag.split() if all(c in self.long_rebuy_mode_tags for c in enter_tags): return self.futures_mode_leverage_rebuy_mode elif all(c in self.long_grind_mode_tags for c in enter_tags): return self.futures_mode_leverage_grind_mode return self.futures_mode_leverage # Correct Min Stake # --------------------------------------------------------------------------------------------- def correct_min_stake(self, min_stake: float) -> float: # if self.config["exchange"]["name"] in ["bybit"]: # if self.is_futures_mode: # if min_stake < 5.0: # min_stake = 5.0 return min_stake def is_backtest_mode(self) -> bool: """Check if the current run mode is backtest or hyperopt""" return self.dp.runmode.value in ["backtest", "hyperopt"] def has_valid_entry_conditions(self, trade: Trade, exit_rate: float, last_candle, previous_candle) -> bool: """Check if there are valid entry conditions""" filled_orders = trade.select_filled_orders() if len(filled_orders) < 1: return False slice_profit = (exit_rate - filled_orders[-1].safe_price) / filled_orders[-1].safe_price if not trade.is_short: return last_candle["enter_long"] or self.long_grind_entry(last_candle, previous_candle, slice_profit, False) else: return last_candle["enter_short"] or self.short_grind_entry(last_candle, previous_candle, slice_profit, False) return False # Update signals (enable/disable) from config # --------------------------------------------------------------------------------------------- def update_signals_from_config(self, config): # Update long entry signal parameters (if they exist in the config) if hasattr(self, "long_entry_signal_params") and "long_entry_signal_params" in config: for condition_key in self.long_entry_signal_params: if condition_key in config["long_entry_signal_params"]: self.long_entry_signal_params[condition_key] = config["long_entry_signal_params"][condition_key] # Update short entry signal parameters (if they exist in the config) if hasattr(self, "short_entry_signal_params") and "short_entry_signal_params" in config: for condition_key in self.short_entry_signal_params: if condition_key in config["short_entry_signal_params"]: self.short_entry_signal_params[condition_key] = config["short_entry_signal_params"][condition_key] # Set Profit Target # --------------------------------------------------------------------------------------------- def _set_profit_target( self, pair: str, sell_reason: str, rate: float, current_profit: float, current_time: datetime ): self.target_profit_cache.data[pair] = { "rate": rate, "profit": current_profit, "sell_reason": sell_reason, "time_profit_reached": current_time.isoformat(), } self.target_profit_cache.save() # Remove Profit Target # --------------------------------------------------------------------------------------------- def _remove_profit_target(self, pair: str): if self.target_profit_cache is not None: self.target_profit_cache.data.pop(pair, None) self.target_profit_cache.save() # Get Hold Trades Config File # --------------------------------------------------------------------------------------------- def get_hold_trades_config_file(self): proper_holds_file_path = self.config["user_data_dir"].resolve() / "nfi-hold-trades.json" if proper_holds_file_path.is_file(): return proper_holds_file_path strat_file_path = pathlib.Path(__file__) hold_trades_config_file_resolve = strat_file_path.resolve().parent / "hold-trades.json" if hold_trades_config_file_resolve.is_file(): log.warning( "Please move %s to %s which is now the expected path for the holds file", hold_trades_config_file_resolve, proper_holds_file_path, ) return hold_trades_config_file_resolve # The resolved path does not exist, is it a symlink? hold_trades_config_file_absolute = strat_file_path.absolute().parent / "hold-trades.json" if hold_trades_config_file_absolute.is_file(): log.warning( "Please move %s to %s which is now the expected path for the holds file", hold_trades_config_file_absolute, proper_holds_file_path, ) return hold_trades_config_file_absolute # Load Hold Trades Config # --------------------------------------------------------------------------------------------- def load_hold_trades_config(self): if self.hold_trades_cache is None: hold_trades_config_file = self.get_hold_trades_config_file() if hold_trades_config_file: log.warning("Loading hold support data from %s", hold_trades_config_file) self.hold_trades_cache = HoldsCache(hold_trades_config_file) if self.hold_trades_cache: self.hold_trades_cache.load() # Should Hold Trade # --------------------------------------------------------------------------------------------- def _should_hold_trade(self, trade: "Trade", rate: float, sell_reason: str) -> bool: if self.config["runmode"].value not in ("live", "dry_run"): return False if not self.hold_support_enabled: return False # Just to be sure our hold data is loaded, should be a no-op call after the first bot loop self.load_hold_trades_config() if not self.hold_trades_cache: # Cache hasn't been setup, likely because the corresponding file does not exist, sell return False if not self.hold_trades_cache.data: # We have no pairs we want to hold until profit, sell return False # By default, no hold should be done hold_trade = False trade_ids: dict = self.hold_trades_cache.data.get("trade_ids") if trade_ids and trade.id in trade_ids: trade_profit_ratio = trade_ids[trade.id] filled_entries = trade.select_filled_orders(trade.entry_side) filled_exits = trade.select_filled_orders(trade.exit_side) profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio = self.calc_total_profit( trade, filled_entries, filled_exits, rate ) current_profit_ratio = profit_init_ratio if sell_reason == "force_sell": formatted_profit_ratio = f"{trade_profit_ratio * 100}%" formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" log.warning( "Force selling %s even though the current profit of %s < %s", trade, formatted_current_profit_ratio, formatted_profit_ratio, ) return False elif current_profit_ratio >= trade_profit_ratio: # This pair is on the list to hold, and we reached minimum profit, sell formatted_profit_ratio = f"{trade_profit_ratio * 100}%" formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" log.warning( "Selling %s because the current profit of %s >= %s", trade, formatted_current_profit_ratio, formatted_profit_ratio, ) return False # This pair is on the list to hold, and we haven't reached minimum profit, hold hold_trade = True trade_pairs: dict = self.hold_trades_cache.data.get("trade_pairs") if trade_pairs and trade.pair in trade_pairs: trade_profit_ratio = trade_pairs[trade.pair] filled_entries = trade.select_filled_orders(trade.entry_side) filled_exits = trade.select_filled_orders(trade.exit_side) profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio = self.calc_total_profit( trade, filled_entries, filled_exits, rate ) current_profit_ratio = profit_init_ratio if sell_reason == "force_sell": formatted_profit_ratio = f"{trade_profit_ratio * 100}%" formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" log.warning( "Force selling %s even though the current profit of %s < %s", trade, formatted_current_profit_ratio, formatted_profit_ratio, ) return False elif current_profit_ratio >= trade_profit_ratio: # This pair is on the list to hold, and we reached minimum profit, sell formatted_profit_ratio = f"{trade_profit_ratio * 100}%" formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" log.warning( "Selling %s because the current profit of %s >= %s", trade, formatted_current_profit_ratio, formatted_profit_ratio, ) return False # This pair is on the list to hold, and we haven't reached minimum profit, hold hold_trade = True return hold_trade # Populate Exit Trend # --------------------------------------------------------------------------------------------- def populate_exit_trend(self, df: DataFrame, metadata: dict) -> DataFrame: df.loc[:, "exit_long"] = 0 df.loc[:, "exit_short"] = 0 return df # # $$$$$$$$\ $$\ $$\ $$$$$$$$\ $$$$$$$\ $$\ $$\ # $$ _____|$$$\ $$ |\__$$ __|$$ __$$\\$$\ $$ | # $$ | $$$$\ $$ | $$ | $$ | $$ |\$$\ $$ / # $$$$$\ $$ $$\$$ | $$ | $$$$$$$ | \$$$$ / # $$ __| $$ \$$$$ | $$ | $$ __$$< \$$ / # $$ | $$ |\$$$ | $$ | $$ | $$ | $$ | # $$$$$$$$\ $$ | \$$ | $$ | $$ | $$ | $$ | # \________|\__| \__| \__| \__| \__| \__| # # # $$$$$$\ $$$$$$\ $$\ $$\ $$$$$$$\ $$$$$$\ $$$$$$$$\ $$$$$$\ $$$$$$\ $$\ $$\ $$$$$$\ # $$ __$$\ $$ __$$\ $$$\ $$ |$$ __$$\ \_$$ _|\__$$ __|\_$$ _|$$ __$$\ $$$\ $$ |$$ __$$\ # $$ / \__|$$ / $$ |$$$$\ $$ |$$ | $$ | $$ | $$ | $$ | $$ / $$ |$$$$\ $$ |$$ / \__| # $$ | $$ | $$ |$$ $$\$$ |$$ | $$ | $$ | $$ | $$ | $$ | $$ |$$ $$\$$ |\$$$$$$\ # $$ | $$ | $$ |$$ \$$$$ |$$ | $$ | $$ | $$ | $$ | $$ | $$ |$$ \$$$$ | \____$$\ # $$ | $$\ $$ | $$ |$$ |\$$$ |$$ | $$ | $$ | $$ | $$ | $$ | $$ |$$ |\$$$ |$$\ $$ | # \$$$$$$ | $$$$$$ |$$ | \$$ |$$$$$$$ |$$$$$$\ $$ | $$$$$$\ $$$$$$ |$$ | \$$ |\$$$$$$ | # \______/ \______/ \__| \__|\_______/ \______| \__| \______| \______/ \__| \__| \______/ # # Populate Entry Trend # --------------------------------------------------------------------------------------------- def populate_entry_trend(self, df: DataFrame, metadata: dict) -> DataFrame: long_entry_conditions = [] short_entry_conditions = [] df.loc[:, "enter_tag"] = "" df.loc[:, "enter_long"] = "" df.loc[:, "enter_short"] = "" is_backtest = self.dp.runmode.value in ["backtest", "hyperopt", "plot"] # the number of free slots current_free_slots = self.config["max_open_trades"] if not is_backtest: current_free_slots = self.config["max_open_trades"] - Trade.get_open_trade_count() # Grind mode num_open_long_grind_mode = 0 is_pair_long_grind_mode = metadata["pair"].split("/")[0] in self.grind_mode_coins if not is_backtest: open_trades = Trade.get_trades_proxy(is_open=True) for open_trade in open_trades: enter_tag = open_trade.enter_tag if enter_tag is not None: enter_tags = enter_tag.split() if all(c in self.long_grind_mode_tags for c in enter_tags): num_open_long_grind_mode += 1 # Top Coins mode is_pair_long_top_coins_mode = metadata["pair"].split("/")[0] in self.top_coins_mode_coins is_pair_short_top_coins_mode = metadata["pair"].split("/")[0] in self.top_coins_mode_coins # if BTC/ETH stake is_btc_stake = self.config["stake_currency"] in self.btc_stakes allowed_empty_candles_288 = 144 if is_btc_stake else 60 ############################################################################################### # LONG ENTRY CONDITIONS STARTS HERE ############################################################################################### # # /$$ /$$$$$$ /$$ /$$ /$$$$$$ /$$$$$$$$/$$ /$$/$$$$$$$$/$$$$$$$$/$$$$$$$ # | $$ /$$__ $| $$$ | $$/$$__ $$ | $$_____| $$$ | $|__ $$__| $$_____| $$__ $$ # | $$ | $$ \ $| $$$$| $| $$ \__/ | $$ | $$$$| $$ | $$ | $$ | $$ \ $$ # | $$ | $$ | $| $$ $$ $| $$ /$$$$ | $$$$$ | $$ $$ $$ | $$ | $$$$$ | $$$$$$$/ # | $$ | $$ | $| $$ $$$| $$|_ $$ | $$__/ | $$ $$$$ | $$ | $$__/ | $$__ $$ # | $$ | $$ | $| $$\ $$| $$ \ $$ | $$ | $$\ $$$ | $$ | $$ | $$ \ $$ # | $$$$$$$| $$$$$$| $$ \ $| $$$$$$/ | $$$$$$$| $$ \ $$ | $$ | $$$$$$$| $$ | $$ # |________/\______/|__/ \__/\______/ |________|__/ \__/ |__/ |________|__/ |__/ # for enabled_long_entry_signal in self.long_entry_signal_params: long_entry_condition_index = int(enabled_long_entry_signal.split("_")[3]) item_buy_protection_list = [True] if self.long_entry_signal_params[f"{enabled_long_entry_signal}"]: # Long Entry Conditions Starts Here # ----------------------------------------------------------------------------------------- long_entry_logic = [] long_entry_logic.append(reduce(lambda x, y: x & y, item_buy_protection_list)) # Condition #1 - Normal mode (Long). if long_entry_condition_index == 1: # Protections long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) # 5m & 15m & 1h down move long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0)) # 5m & 4h down move, 4h still not low enough long_entry_logic.append((df["RSI_3"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 30.0)) # 5m down move, 15m still not low enough long_entry_logic.append((df["RSI_3"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)) # 5m down move, 4h high long_entry_logic.append((df["RSI_3"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)) # 5m down move, 15m & 1h still high long_entry_logic.append( (df["RSI_3"] > 20.0) | (df["AROONU_14_15m"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 15m & 1h down move long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0)) # 15m & 4h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m down move, 1h still high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_1h"] < 50.0)) # 5m down move, 1h still high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)) # 15m & 4h down move, 15m still not low enough long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_15m"] < 30.0)) # 15m down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_4h"] < 85.0)) # 15m & 4h down move, 15m still high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 50.0)) # 15m down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)) # 15m & 1h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_4h"] < 75.0)) # 15m down move, 15m still not low enough, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m down move, 1h & 4h high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0)) # 5m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) ) # 15m down move, 1h high, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)) # 1h & 4h down move, drop in the last hour long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["close"] > (df["close_max_12"] * 0.90)) ) # 1h down move, 1h still high long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 50.0)) # 1h & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0)) # 1h down move, 15m still not low enough, 4h high long_entry_logic.append( (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 25.0) | (df["AROONU_14_4h"] < 70.0) ) # 1h down move, 1h still high long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)) # 1h down move, 4h high long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)) # 1h, 4h still high, 1d downtrend long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -50.0)) # 1h down move, drop but not yet near the previous lows long_entry_logic.append( (df["RSI_3_1h"] > 30.0) | (df["close"] > (df["high_max_12_4h"] * 0.50)) | (df["close"] < (df["low_min_24_4h"] * 1.10)) ) # 1h down move, 1h still high, 1d overbought long_entry_logic.append( (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["ROC_9_1d"] < 100.0) ) # 4h down move, drop in last 1h long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["close"] > (df["close_max_12"] * 0.85))) # 5m down move, 1h still high long_entry_logic.append((df["RSI_14"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)) # big drop in last 4 hours, 4h down move long_entry_logic.append((df["close"] > (df["high_max_24_4h"] * 0.50)) | (df["RSI_3_4h"] > 10.0)) # big drop in the last 30 days, 4h still high long_entry_logic.append( (df["close"] > (df["high_max_30_1d"] * 0.05)) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # big drop in the last 30 days, 1d downtrend long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.05)) | (df["ROC_9_1d"] > -40.0)) # Logic long_entry_logic.append(df["EMA_26"] > df["EMA_12"]) long_entry_logic.append((df["EMA_26"] - df["EMA_12"]) > (df["open"] * 0.034)) long_entry_logic.append((df["EMA_26"].shift() - df["EMA_12"].shift()) > (df["open"] / 100.0)) long_entry_logic.append(df["close"] < (df["BBL_20_2.0"] * 0.999)) # Condition #2 - Normal mode (Long). if long_entry_condition_index == 2: # Protections long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) # 5m down move, 15m still not low enough long_entry_logic.append((df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)) # 5m down move, 1h still not low enough, 4h still high long_entry_logic.append( (df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 5m down move, 1h high long_entry_logic.append((df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)) # 5m & 15m down move, 4h still high long_entry_logic.append((df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 50.0)) # 5m & 15m down move, 1h still high long_entry_logic.append((df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 50.0)) # 5m & 15m down move, 1h high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 70.0)) # 5m & 1h & 4h down move long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0)) # 5m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3"] > 5.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 5m & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 5m down move, 15m still high long_entry_logic.append((df["RSI_3"] > 10.0) | (df["AROONU_14_15m"] < 75.0)) # 5m down move, 1h & 4h high long_entry_logic.append((df["RSI_3"] > 10.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0)) # 5m down move, 1h high long_entry_logic.append((df["RSI_3"] > 10.0) | (df["AROONU_14_1h"] < 90.0)) # 5m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) ) # 5m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0)) # 15m & 1h down move, 1h still not low enough long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 20.0)) # 15m & 4h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 15m & 1h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) ) # 5m & 4h & 1d down move long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 20.0)) # 15m & 4h down move, 4h still not low enough long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 20.0)) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 50.0)) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m & 4h down move, 1d high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) ) # 15m down move, 15m & 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["AROONU_14_4h"] < 30.0) ) # 15m down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 75.0)) # 15m down move, 1h & 4h still high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 40.0)) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0)) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m & 1h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_4h"] < 70.0)) # 15m down move, 1h & 4h high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_14_1h"] < 70.0) | (df["RSI_14_4h"] < 75.0)) # 15m down move, 15m still not low enough, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_4h"] < 60.0) ) # 15m down move, 1h & 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m down move, 1h & 4h high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0)) # 15m & 1h down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 50.0)) # 15m & 1h down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_4h"] < 80.0)) # 15m & 1h down move, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) ) # 15m down move, 15m high, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_4h"] < 50.0) ) # 15m down move, 4h high & overbought long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 50.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m downmove, 1h still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["AROONU_14_4h"] < 85.0) ) # 15m down move, 1h still high, 4h high long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_1h"] < 50.0) | (df["RSI_14_4h"] < 80.0)) # 15m & 1h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 90.0)) # 15m down move, 1h still high, 1d overbought long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 200.0) ) # 15m & 1h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) ) # 1h & 4h down move, drop in the last hour long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["close"] > (df["close_max_12"] * 0.90)) ) # 1h down move, 15m & 4h still high long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["AROONU_14_4h"] < 50.0) ) # 1h & 4h down move, 4h high long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 70.0)) # 1h down move, 4h still high & overbought long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 50.0) ) # 1h, 4h still high, 1d downtrend long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -50.0)) # 1h down move, drop but not yet near the previous lows long_entry_logic.append( (df["RSI_3_1h"] > 30.0) | (df["close"] > (df["high_max_12_4h"] * 0.50)) | (df["close"] < (df["low_min_24_4h"] * 1.10)) ) # 4h down move, 15m still high long_entry_logic.append((df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)) # 4h overbought, drop but not yet near the previous lows in last 2 days long_entry_logic.append( (df["ROC_9_4h"] < 50.0) | (df["close"] > (df["high_max_12_4h"] * 0.50)) | (df["close"] < (df["low_min_12_4h"] * 1.25)) ) # 1d overbought, drop but not yet near the previous lows in last 12 days long_entry_logic.append( (df["ROC_9_1d"] < 200.0) | (df["close"] > (df["high_max_12_1d"] * 0.50)) | (df["close"] < (df["low_min_12_1d"] * 1.25)) ) # big drop in last 24 hours, 4h down move long_entry_logic.append((df["close"] > (df["high_max_24_1h"] * 0.50)) | (df["RSI_3_4h"] > 10.0)) # big drop in last 24 hours, 1h still high long_entry_logic.append( (df["close"] > (df["high_max_24_1h"] * 0.50)) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # big drop in last 48 hours, 4h down move long_entry_logic.append((df["close"] > (df["high_max_12_4h"] * 0.30)) | (df["RSI_3_4h"] > 15.0)) # big drop in the last 30 days, 1d downtrend long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.05)) | (df["ROC_9_1d"] > -40.0)) # big drop in the last 30 days long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.01))) # Logic long_entry_logic.append(df["AROONU_14"] < 25.0) long_entry_logic.append(df["STOCHRSIk_14_14_3_3"] < 20.0) long_entry_logic.append(df["AROONU_14_15m"] < 25.0) long_entry_logic.append(df["close"] < (df["EMA_20"] * 0.944)) # Condition #3 - Normal mode (Long). if long_entry_condition_index == 3: # Protections long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) long_entry_logic.append(df["RSI_3_1h"] <= 95.0) long_entry_logic.append(df["RSI_3_4h"] <= 80.0) long_entry_logic.append(df["RSI_3_1d"] <= 80.0) long_entry_logic.append(df["RSI_14_1h"] < 80.0) long_entry_logic.append(df["RSI_14_4h"] < 80.0) long_entry_logic.append(df["RSI_14_1d"] < 90.0) # 5m & 15m down move, 1h still high long_entry_logic.append((df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 50.0)) # 5m down move, 1h & 4h still high long_entry_logic.append( (df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 5m down move, 1h high long_entry_logic.append((df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)) # 5m & 15m down move, 15m still not low enough long_entry_logic.append( (df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) ) # 5m & 15m down move, 4h still high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_4h"] < 50.0)) # 5m down move, 15m still high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["AROONU_14_15m"] < 50.0)) # 5m down move, 15m still high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)) # # 5m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) ) # 5m & 1h down move, 4h high long_entry_logic.append((df["RSI_3"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 80.0)) # 5m & 4h down move, 4h still not low enough long_entry_logic.append((df["RSI_3"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 30.0)) # 5m down move, 15m & 1h still high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 5m down move, 15m still high, 1h high long_entry_logic.append((df["RSI_3"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 90.0)) # 5m down move, 15m still not low enough, 4h high long_entry_logic.append( (df["RSI_3"] > 20.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) ) # 5m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) ) # 5m & 1h down move long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0)) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 25.0) ) # 15m down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)) # 5m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_1h"] > 45.0)) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 15m & 1h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 50.0)) # 15m & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 15m & 4h down move, 15m still not low enough long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_15m"] < 30.0)) # 15m & 1d down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1d"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 15m down move, 15m still not low enough, 1h still high long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 25.0) | (df["AROONU_14_1h"] < 50.0)) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m & 4h down move, 1d high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) ) # 15m & 4h down move, 1h still not low enough long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 30.0)) # 15m & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 15m & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 50.0)) # 15m down move, 15m still high, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 15m down move, 15m & 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["AROONU_14_4h"] < 30.0) ) # 15m down move, 1h & 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["AROONU_14_4h"] < 40.0) ) # 15m down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)) # 15m down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)) # 15m & 1h & 1d down move long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 20.0)) # 15m & 1h down move, 1h still not low enough long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 25.0)) # 15m down move, 15m still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 15m down move, 1h & 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m & 1h down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 70.0)) # 15m down move, 15m still not low enough, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 15m down move, 15m & 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 15m down move, 1h still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 15m & 1h down move, 15m still high long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_15m"] < 50.0)) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m & 1h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) ) # 15m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 15m down move, 15m still high long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)) # 15m down move, 15m still not low enough, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) ) # 15m downmove, 1h still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["AROONU_14_4h"] < 85.0) ) # 15m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 90.0) ) # 15m down move, 15m high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_4h"] < 50.0) ) # 15m down move, 1h & 4h high long_entry_logic.append( (df["RSI_3_15m"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0) ) # 15m down move, 15m high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 40.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_4h"] < 80.0) ) # 15m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 50.0) | (df["AROONU_14_15m"] < 60.0) | (df["AROONU_14_1h"] < 90.0) ) # 1h & 4h down move, 4h still not low enough long_entry_logic.append((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 25.0)) # 1h & 4h down move long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0)) # 1h & 4h down move, drop in the last hour long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["close"] > (df["close_max_12"] * 0.90)) ) # 1h down move, 15m still not low enough, 4h still high long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["AROONU_14_4h"] < 50.0) ) # 1h & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 40.0)) # 1h & 4h down move, 1h still high long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1h"] < 50.0)) # 1h & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 1h down move, 15m & 1h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 1h & 4h down move long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 5.0)) # 1h down move, 1h still high long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)) # 1h & 4h & 1d down move long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 5.0)) # 1h & 4h down move, 1h still high long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 1h down move, 15m still not low enough, 4h still high long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_15m"] < 30.0) | (df["AROONU_14_4h"] < 50.0)) # 1h & 4h down move, 4h high long_entry_logic.append( (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) ) # 1h down move, drop but not yet near the previous lows long_entry_logic.append( (df["RSI_3_1h"] > 30.0) | (df["close"] > (df["high_max_12_4h"] * 0.50)) | (df["close"] < (df["low_min_24_4h"] * 1.10)) ) # 4h down move, 15m still not low enough, 1h still high long_entry_logic.append( (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 4h down move, 15m still high, 4h still not low enough long_entry_logic.append( (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["AROONU_14_4h"] < 25.0) ) # 4h down move, drop in last 1h long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["close"] > (df["close_max_12"] * 0.85))) # 4h down move, 15m still high, 1h high long_entry_logic.append((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_15m"] < 30.0) | (df["AROONU_14_1h"] < 90.0)) # 4h down move, 15m & 1h still high long_entry_logic.append((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 50.0)) # 4h down move, 4h still not low enough, 1d overbought long_entry_logic.append( (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["ROC_9_1d"] < 50.0) ) # 15m still high, 1h & 4h high long_entry_logic.append( (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0) ) # 15m still not low enough, 1h high, 1d overbought long_entry_logic.append( (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] < 100.0) ) # 15m still not low enough, 1h high, 1d overbought long_entry_logic.append( (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] < 100.0) ) # 15m still high, 1h & 4h high long_entry_logic.append( (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 90.0) | (df["AROONU_14_4h"] < 75.0) ) # 1d overbought, drop but not yet near the previous lows in last 12 days long_entry_logic.append( (df["ROC_9_1d"] < 200.0) | (df["close"] > (df["high_max_12_1d"] * 0.50)) | (df["close"] < (df["low_min_12_1d"] * 1.25)) ) # big drop in last 24 hours, 4h down move long_entry_logic.append((df["close"] > (df["high_max_24_1h"] * 0.50)) | (df["RSI_3_4h"] > 10.0)) # big drop in last 4 hours, 4h still not low enough long_entry_logic.append( (df["close"] > (df["high_max_24_4h"] * 0.50)) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # big drop in the last 12 days, 4h still high long_entry_logic.append((df["close"] > (df["high_max_12_1d"] * 0.25)) | (df["AROONU_14_4h"] < 50.0)) # big drop in the last 30 days, 4h down move long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.10)) | (df["RSI_3_4h"] > 20.0)) # big drop in the last 30 days, 4h still high long_entry_logic.append( (df["close"] > (df["high_max_30_1d"] * 0.05)) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # big drop in the last 30 days, 1d downtrend long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.05)) | (df["ROC_9_1d"] > -40.0)) # big drop in the last 30 days long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.01))) # Logic long_entry_logic.append(df["RSI_20"] < df["RSI_20"].shift(1)) long_entry_logic.append(df["RSI_4"] < 46.0) long_entry_logic.append(df["AROONU_14"] < 25.0) long_entry_logic.append(df["close"] < df["SMA_16"] * 0.942) # Condition #4 - Normal mode (Long). if long_entry_condition_index == 4: # Protections long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) long_entry_logic.append(df["RSI_3_1h"] <= 95.0) long_entry_logic.append(df["RSI_3_4h"] <= 80.0) long_entry_logic.append(df["RSI_3_1d"] <= 80.0) long_entry_logic.append(df["RSI_14_1h"] < 80.0) long_entry_logic.append(df["RSI_14_4h"] < 80.0) long_entry_logic.append(df["RSI_14_1d"] < 90.0) # 5m down move, 15m still not low enough long_entry_logic.append((df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)) # 5m down move, 1h still high long_entry_logic.append((df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)) # 5m & 1h down move, 4h high long_entry_logic.append((df["RSI_3"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 80.0)) # 5m & 4h down move, 4h still not low enough long_entry_logic.append((df["RSI_3"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 30.0)) # 15m & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 40.0)) # 15m & 4h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m down move, 1h still high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)) # 15m & 1h down move, 1h still not low enough long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 20.0)) # 15m & 1h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 15m down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)) # 15m & 1h down move, 1h still high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 50.0)) # 15m & 4h down move, 1h still not low enough long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 30.0)) # 15m down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)) # 15m down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)) # 1h & 4h down move long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0)) # 1h & 4h down move, drop in the last hour long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["close"] > (df["close_max_12"] * 0.90)) ) # 1h down move, 1h still not low enough, 4h still high long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 25.0) | (df["AROONU_14_4h"] < 60.0) ) # 1h & 4h down move, 1h still high long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 1h & 4h & 1d down move long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 5.0)) # 4h down move, 15m still high, 4h still not low enough long_entry_logic.append( (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["AROONU_14_4h"] < 25.0) ) # 4h down move, drop in last 1h long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["close"] > (df["close_max_12"] * 0.85))) # 4h down move, drop but not yet near the previous lows long_entry_logic.append( (df["RSI_3_4h"] > 25.0) | (df["close"] > (df["high_max_12_4h"] * 0.50)) | (df["close"] < (df["low_min_24_4h"] * 1.10)) ) # 1d overbought, drop but not yet near the previous lows in last 12 days long_entry_logic.append( (df["ROC_9_1d"] < 200.0) | (df["close"] > (df["high_max_12_1d"] * 0.50)) | (df["close"] < (df["low_min_12_1d"] * 1.25)) ) # big drop in last 24 hours, 1h still high long_entry_logic.append( (df["close"] > (df["high_max_24_1h"] * 0.50)) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # big drop in last 4 hours, 4h still not low enough long_entry_logic.append( (df["close"] > (df["high_max_24_4h"] * 0.50)) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # big drop in the last 30 days, 4h still high long_entry_logic.append( (df["close"] > (df["high_max_30_1d"] * 0.05)) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # Logic long_entry_logic.append(df["AROONU_14"] < 25.0) long_entry_logic.append(df["AROONU_14_15m"] < 25.0) long_entry_logic.append(df["close"] < (df["EMA_9"] * 0.946)) long_entry_logic.append(df["close"] < (df["EMA_20"] * 0.960)) # Condition #5 - Normal mode (Long). if long_entry_condition_index == 5: # Protections long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) # 5m down move, 1h & 4h still high long_entry_logic.append( (df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 5m down move, 1h high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)) # 5m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) ) # 5m & 1h down move, 4h high long_entry_logic.append((df["RSI_3"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 80.0)) # 5m down move, 1h still high, 4h high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["AROONU_14_4h"] < 90.0) ) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0)) # 15m down move, 15m still not low enough, 1h still high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_15m"] < 25.0) | (df["AROONU_14_1h"] < 50.0)) # 15m down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_4h"] < 70.0)) # 15m down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 25.0)) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0)) # 15m & 4h down move, 15m still not low enough long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_15m"] < 30.0)) # 15m & 1d down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1d"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m & 1h down move, 1h still not low enough long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 20.0)) # 15m & 4h down move, 15m still high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 50.0)) # 15m down move, 15m still not low enough, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m down move, 15m still not low enough, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["AROONU_14_4h"] < 50.0) ) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 50.0)) # 15m & 1h down move, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) ) # 15m & 4h down move, 1h still not low enough long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 30.0)) # 15m & 1h & 1d down move long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 20.0)) # 15m & 1h down move, 1h still high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 50.0)) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m & 1h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) ) # 15m down move, 1h still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) ) # 15m & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0)) # 15m down move, 15m still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_4h"] < 50.0) ) # 15m down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 75.0)) # 15m down move, 4h stil high, 1d overbought long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] < 100.0)) # 15m & 1h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_4h"] < 80.0)) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m & 1h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) ) # 15m down move, 15m & 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_1h"] < 90.0) ) # 15m down move, 15m & 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m down move, 15m still not low enough, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_1h"] < 50.0) ) # 15m down move, 1h & 4h high long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0)) # 15m down move, 15m & 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 50.0) ) # 1h down move, 4h high long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)) # 1h down move, 1h high long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 70.0)) # 1h down move, 4h high long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 70.0)) # 1h down move, 4h high long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)) # 1h & 4h down move long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 5.0)) # 1h down move, 4h high long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 90.0)) # 4h down move, 15m still high, 4h still not low enough long_entry_logic.append( (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["AROONU_14_4h"] < 25.0) ) # 4h down move, drop in last 1h long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["close"] > (df["close_max_12"] * 0.85))) # 4h down move, 1h high, 4h still high long_entry_logic.append((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1h"] < 75.0) | (df["AROONU_14_4h"] < 50.0)) # 1d down move, 4h high, 1d downtrend long_entry_logic.append((df["RSI_3_1d"] > 20.0) | (df["AROONU_14_4h"] < 75.0) | (df["ROC_2_1d"] > -30.0)) # 1h down move, drop but not yet near the previous lows long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["close"] > (df["high_max_12_4h"] * 0.50)) | (df["close"] < (df["low_min_24_4h"] * 1.25)) ) # 4h down move, drop but not yet near the previous lows long_entry_logic.append( (df["RSI_3_4h"] > 25.0) | (df["close"] > (df["high_max_12_4h"] * 0.50)) | (df["close"] < (df["low_min_24_4h"] * 1.10)) ) # 4h high, drop but not yet near the previous lows long_entry_logic.append( (df["AROONU_14_4h"] < 70.0) | (df["close"] > (df["high_max_6_4h"] * 0.80)) | (df["close"] < (df["low_min_24_4h"] * 1.25)) ) # 1d overbought, drop but not yet near the previous lows in last 12 days long_entry_logic.append( (df["ROC_9_1d"] < 100.0) | (df["close"] > (df["high_max_12_1d"] * 0.50)) | (df["close"] < (df["low_min_12_1d"] * 1.25)) ) # 1d top wick, 4h still high long_entry_logic.append((df["top_wick_pct_1d"] < 50.0) | (df["AROONU_14_4h"] < 50.0)) # big drop in last 4 hours, 4h down move long_entry_logic.append((df["close"] > (df["high_max_24_4h"] * 0.50)) | (df["RSI_3_4h"] > 10.0)) # big drop in last 24 hours, 1h still high long_entry_logic.append( (df["close"] > (df["high_max_24_1h"] * 0.50)) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # big drop in the last 12 days, 4h still high long_entry_logic.append((df["close"] > (df["high_max_12_1d"] * 0.25)) | (df["AROONU_14_4h"] < 50.0)) # big drop in the last 30 days, 4h down move long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.15)) | (df["RSI_3_4h"] > 15.0)) # big drop in the last 30 days long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.05))) # Logic long_entry_logic.append(df["RSI_3"] < 50.0) long_entry_logic.append(df["AROONU_14"] < 25.0) long_entry_logic.append(df["AROOND_14"] > 75.0) long_entry_logic.append(df["STOCHRSIk_14_14_3_3"] < 30.0) long_entry_logic.append(df["EMA_26"] > df["EMA_12"]) long_entry_logic.append((df["EMA_26"] - df["EMA_12"]) > (df["open"] * 0.030)) long_entry_logic.append((df["EMA_26"].shift() - df["EMA_12"].shift()) > (df["open"] / 100.0)) # Condition #6 - Normal mode (Long). if long_entry_condition_index == 6: # Protections long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) # big drop in the last hour long_entry_logic.append(df["close"] > (df["close_max_12"] * 0.50)) # 5m down move, 15m still not low enough long_entry_logic.append((df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)) # 5m & 15m down move, 1h still high long_entry_logic.append((df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 50.0)) # 5m & 1h down move, 4h still not low enough long_entry_logic.append((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 20.0)) # 5m & 15m down move, 4h still high long_entry_logic.append( (df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 5m & 1h down move, 4h still high long_entry_logic.append((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 50.0)) # 5m down move, 4h high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)) # 5m & 15m down move, 4h high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_4h"] < 70.0)) # 5m & 15m down move, 15m still not low enough long_entry_logic.append( (df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) ) # 5m & 4h down move, 1h still high long_entry_logic.append( (df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 5m & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 5m down move, 15m not low enough, 1h high long_entry_logic.append( (df["RSI_3"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) ) # 5m & 15m down move, 15m still high long_entry_logic.append((df["RSI_3"] > 10.0) | (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 50.0)) # 5m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 5m down move, 15m still not low enough, 1h high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 5m down move, 1h still high, 4h high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["AROONU_14_4h"] < 95.0) ) # 5m down move, 15m still not low enough, 4h high long_entry_logic.append((df["RSI_3"] > 15.0) | (df["AROONU_14_15m"] < 30.0) | (df["AROONU_14_4h"] < 90.0)) # 5m down move, 15m still not low enough, 4h high long_entry_logic.append( (df["RSI_3"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_4h"] < 90.0) ) # 5m down move, 15m still not low enough, 4h high long_entry_logic.append( (df["RSI_3"] > 15.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) ) # 5m down move, 15m & 4h still high long_entry_logic.append( (df["RSI_3"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 5m down move, 15m & 4h high long_entry_logic.append( (df["RSI_3"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 75.0) | (df["AROONU_14_4h"] < 90.0) ) # 5m down move, 15m & 4h high long_entry_logic.append((df["RSI_3"] > 20.0) | (df["AROONU_14_15m"] < 75.0) | (df["AROONU_14_4h"] < 85.0)) # 15m & 1h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 15m & 1h down move, 15m still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) ) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0)) # 15m & 1h down move, 15m still high long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_15m"] < 40.0)) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m & 4h down move, 15m still not low enough long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["AROONU_14_15m"] < 25.0)) # 15m & 4h down move, 1d overbought long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] < 80.0)) # 15m & 4h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0)) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 15m & 1h down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 50.0)) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0)) # 15m & 1h & 1d down move long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 25.0)) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m & 1h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 15m & 4h down move, 15m still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) ) # 15m & 4h down move, 1h still not low enough long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 30.0)) # 15m & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 25.0) ) # 15m & 4h down move, 1d high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1d"] < 90.0)) # 15m & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 50.0)) # 15m & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 15m & 4h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 70.0)) # 15m & 1d down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 25.0) ) # 15m down move, 15m still not low enough, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) ) # 15m down move, 15m still high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)) # 15m down move, 1h & 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) ) # 15m down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)) # 15m & 1h & 1d down move long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 20.0)) # 15m & 1h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 70.0)) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) ) # 15m down move, 15m still not low enough, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) ) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m & 4h down move, 15m still high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_15m"] < 30.0)) # 15m & 4h down move, 15m still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) ) # 15m down move, 4h stil high, 1d overbought long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] < 100.0)) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 15m & 1h down move, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 15m down move, 15m still not low enough, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 30.0) | (df["AROONU_14_1h"] < 85.0) ) # 15m down move, 15m & 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 15m down move, 15m & 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 50.0) ) # 15m down move, 15m still high, 1d high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) ) # 15m down move, 1h still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) ) # 15m down move, 1h & 4h high long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0)) # 15m down move, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) ) # 15m & 1h down move, 15m still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) ) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m & 1h & 4h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_4h"] > 55.0) | (df["AROONU_14_4h"] < 80.0) ) # 15m & 4h down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1h"] < 70.0)) # 15m & 4h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 70.0)) # 15m & 1d down move, 1d still high long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1d"] > 30.0) | (df["ROC_9_1d"] < 20.0)) # 15m down move, 15m high long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0)) # 15m down move, 1h high, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["AROONU_14_4h"] < 40.0) ) # 15m down move, 1h & 4h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 15m & 1h down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 70.0)) # 15m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 15m down move, 15m still not low enough, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 15m down move, 1h high, 1d overbought long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 100.0)) # 15m down move, 1h still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["AROONU_14_4h"] < 90.0) ) # 15m down move, 4h & 1d high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) ) # 15m down move, 15m & 4h high long_entry_logic.append( (df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) ) # 15m down move, 15m & 1h high long_entry_logic.append( (df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m down move, 15m & 1d high long_entry_logic.append( (df["RSI_3_15m"] > 35.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) ) # 15m & 1h down move, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0) ) # 15m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 40.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) ) # 15m down move, 15m high, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 40.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m down move, 1h still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) ) # 15m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 50.0) | (df["AROONU_14_15m"] < 60.0) | (df["AROONU_14_1h"] < 90.0) ) # 15m down move, 15m still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 50.0) | (df["AROONU_14_15m"] < 60.0) | (df["AROONU_14_4h"] < 90.0) ) # 15m down move, 15m high, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 50.0) | (df["AROONU_14_15m"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 1h & 4h & 1d down move long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 20.0)) # 1h & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 50.0)) # 1h & 4h down move, 1h still high long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1h"] < 40.0)) # 1h & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 1h & 4h & 1d down move long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 5.0)) # 1h & 4h down move, 1h still high long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 1h, 4h still high, 1d downtrend long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -50.0)) # 4h down move, 4h still not low enough long_entry_logic.append((df["RSI_3_4h"] > 5.0) | (df["AROONU_14_4h"] < 20.0)) # 4h down move, 5m going down long_entry_logic.append((df["RSI_3_4h"] > 5.0) | (((df["EMA_12"] - df["EMA_26"]) / df["EMA_26"]) > -0.02)) # 4h down move, 15m high long_entry_logic.append((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0)) # 4h down move, 15m still high, 1d downtrend long_entry_logic.append( (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["ROC_9_1d"] > -50.0) ) # 4h down move, 15m high, 1h still high long_entry_logic.append( (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 4h down move, 15m still high, 1h high long_entry_logic.append((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_15m"] < 30.0) | (df["AROONU_14_1h"] < 90.0)) # 4h down move, 15m high long_entry_logic.append((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_15m"] < 80.0)) # 4h down move, 4h still not low enough, 1d overbought long_entry_logic.append( (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 25.0) | (df["ROC_9_1d"] < 50.0) ) # 4h down move, 4h still high, 4h overbought long_entry_logic.append((df["RSI_3_4h"] > 60.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_4h"] < 80.0)) # 1d down move, 15m still high, 4h still not low enough long_entry_logic.append( (df["RSI_3_1d"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 1d down move, 1h & 4h high long_entry_logic.append((df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0)) # 1d down move, 1h high, 4h still not low enough long_entry_logic.append( (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 1d down move, 4h high, 1d downtrend long_entry_logic.append((df["RSI_3_1d"] > 20.0) | (df["AROONU_14_4h"] < 75.0) | (df["ROC_2_1d"] > -30.0)) # 15m still not low enough, 4h high & overbought long_entry_logic.append((df["AROONU_14_15m"] < 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 80.0)) # 15m still high, 1h high long_entry_logic.append( (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 15m still high, 4h high long_entry_logic.append( (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) ) # 15m & 1h still high, 1d overbought long_entry_logic.append( (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 80.0) ) # 15m high, 1h high long_entry_logic.append((df["AROONU_14_15m"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)) # 15m still high, 1h & 4h high long_entry_logic.append( (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0) ) # 15m still not low enough, 4h still high, 1d overbought long_entry_logic.append( (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] < 80.0) ) # 1h down move, drop but not yet near the previous lows long_entry_logic.append( (df["RSI_3_1h"] > 25.0) | (df["close"] > (df["high_max_12_4h"] * 0.60)) | (df["close"] < (df["low_min_24_4h"] * 1.25)) ) # 1h high, drop but not yet near the previous lows long_entry_logic.append( (df["AROONU_14_1h"] < 80.0) | (df["close"] > (df["high_max_12_4h"] * 0.50)) | (df["close"] < (df["low_min_24_4h"] * 1.25)) ) # 4h high, drop but not yet near the previous lows long_entry_logic.append( (df["AROONU_14_4h"] < 70.0) | (df["close"] > (df["high_max_6_4h"] * 0.80)) | (df["close"] < (df["low_min_24_4h"] * 1.25)) ) # 4h overbought, drop but not yet near the previous lows long_entry_logic.append( (df["ROC_9_4h"] < 50.0) | (df["close"] > (df["high_max_12_4h"] * 0.60)) | (df["close"] < (df["low_min_24_4h"] * 1.25)) ) # 1d overbought, drop but not yet near the previous lows in last 12 days long_entry_logic.append( (df["ROC_9_1d"] < 200.0) | (df["close"] > (df["high_max_12_1d"] * 0.50)) | (df["close"] < (df["low_min_12_1d"] * 1.25)) ) # 4h top wick, 1h & 4h high long_entry_logic.append( (df["top_wick_pct_4h"] < 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 85.0) ) # 1d top wick, 15m still high long_entry_logic.append((df["top_wick_pct_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)) # 1d top wick, 4h still high long_entry_logic.append((df["top_wick_pct_1d"] < 50.0) | (df["AROONU_14_4h"] < 50.0)) # big drop in last 48 hours, 4h down move long_entry_logic.append((df["close"] > (df["high_max_12_4h"] * 0.30)) | (df["RSI_3_4h"] > 15.0)) # big drop in the last 20 days, 4h still high long_entry_logic.append( (df["close"] > (df["high_max_20_1d"] * 0.25)) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # big drop in the last 30 days, 1h still high long_entry_logic.append( (df["close"] > (df["high_max_30_1d"] * 0.05)) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) ) # big drop in the last 30 days, 4h still high long_entry_logic.append( (df["close"] > (df["high_max_30_1d"] * 0.05)) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # big drop in the last 30 days long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.01))) # Logic long_entry_logic.append(df["RSI_20"] < df["RSI_20"].shift(1)) long_entry_logic.append(df["RSI_3"] < 46.0) long_entry_logic.append(df["STOCHRSIk_14_14_3_3"] < 20.0) long_entry_logic.append(df["close"] < df["SMA_16"] * 0.952) # Condition #41 - Quick mode (Long). if long_entry_condition_index == 41: # Protections long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) # big drop in the last hour long_entry_logic.append(df["close"] > (df["close_max_12"] * 0.50)) # 5m down move, 15m still not low enough long_entry_logic.append((df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)) # 5m down move, 1h & 4h still high long_entry_logic.append( (df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 5m & 15m & 1h down move long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 50.0) | (df["RSI_3_1h"] > 15.0)) # 5m down move, 15m & 1h still high long_entry_logic.append( (df["RSI_3"] > 20.0) | (df["AROONU_14_15m"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) ) # 15m down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0)) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 50.0)) # 15m & 1d down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1d"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 15m down move, 15m still not low enough, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) ) # 15m down move, 15m & 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m & 1h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 60.0)) # 15m & 1h down move, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 15m & 4h down move, 15m still high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 50.0)) # 15m down move, 15m & 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_4h"] < 50.0) ) # 15m & 1h down move, 1d high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) ) # 15m & 1h & 1d down move long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 20.0)) # 15m down move, 15m still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) ) # 15m down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 75.0)) # 15m down move, 4h high, 1d overbought long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 75.0) | (df["ROC_9_1d"] < 80.0) ) # 15m & 1h down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0)) # 15m & 1h down move, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_4h"] < 80.0)) # 15m down move, 15m still not low enough, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_1h"] < 85.0) ) # 15m & 1h down move, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 15m down move, 15m & 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m down move, 1h still not low enough, 4h high long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 30.0) | (df["AROONU_14_4h"] < 80.0)) # 15m & 1h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) ) # 15m down move, 1h high. 1d overbought long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 100.0)) # 15m down move, 1h & 4h high long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0)) # 15m down move, 15m high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 1h & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 1h & 4h down move, drop in the last hour long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["close"] > (df["close_max_12"] * 0.90)) ) # 1h & 4h down move, 1h still high long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_1h"] < 40.0)) # 1h & 4h down move, 4h still high long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 1h down move, 4h high long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)) # 1h & 4h down move, 1d high long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) ) # 1h & 4h down move, 4h still not low enough long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 20.0)) # 1h & 4h & 1d down move long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 15.0)) # 1h & 4h down move, 1h still high long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1h"] < 50.0)) # 1h & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 1h & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 70.0)) # 1h down move, 1h high long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 70.0)) # 1h down move, 1h high long_entry_logic.append( (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["AROONU_14_1h"] < 80.0) ) # 1h down move, 1h still high long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)) # 1h down move, 4h high long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)) # 1h down move, 1h still high, 4h high long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 40.0) | (df["AROONU_14_4h"] < 85.0)) # 1h & 4h down move, 15m still not low enough long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_15m"] < 25.0)) # 1h & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 50.0)) # 1h, 4h still high, 1d downtrend long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -50.0)) # 1h down move, 1h & 4h high long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 75.0) | (df["AROONU_14_4h"] < 90.0)) # 4h down move, 15m still high, 4h still not low enough long_entry_logic.append( (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["AROONU_14_4h"] < 25.0) ) # 4h down move, drop in last 1h long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["close"] > (df["close_max_12"] * 0.85))) # 1h down move, drop but not yet near the previous lows long_entry_logic.append( (df["RSI_3_1h"] > 30.0) | (df["close"] > (df["high_max_12_4h"] * 0.50)) | (df["close"] < (df["low_min_24_4h"] * 1.10)) ) # 1d overbought, drop but not yet near the previous lows long_entry_logic.append( (df["ROC_9_1d"] < 50.0) | (df["close"] > (df["high_max_12_4h"] * 0.75)) | (df["close"] < (df["low_min_24_4h"] * 1.25)) ) # 1h down move, drop but not yet near the previous lows in last 6 days long_entry_logic.append( (df["RSI_3_1h"] > 15.0) | (df["close"] > (df["high_max_6_1d"] * 0.50)) | (df["close"] < (df["low_min_6_1d"] * 1.25)) ) # 1d top wick, 1h down move, 4h still high long_entry_logic.append( (df["top_wick_pct_1d"] < 50.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 50.0) ) # big drop in last 24 hours, 4h down move long_entry_logic.append((df["close"] > (df["high_max_24_1h"] * 0.50)) | (df["RSI_3_4h"] > 10.0)) # big drop in last 4 hours, 4h still not low enough long_entry_logic.append( (df["close"] > (df["high_max_24_4h"] * 0.50)) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # big drop in the last 30 days, 1h downtrend long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.10)) | (df["RSI_3_1h"] > 10.0)) # big drop in the last 30 days, 1h high long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.10)) | (df["AROONU_14_1h"] < 80.0)) # big drop in the last 30 days long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.01))) # Logic long_entry_logic.append(df["RSI_14"] < 36.0) long_entry_logic.append(df["AROONU_14"] < 25.0) long_entry_logic.append(df["AROOND_14"] > 75.0) long_entry_logic.append(df["EMA_9"] < (df["EMA_26"] * 0.960)) # Condition #42 - Quick mode (Long). if long_entry_condition_index == 42: # Protections long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) long_entry_logic.append(df["RSI_3_1h"] <= 95.0) long_entry_logic.append(df["RSI_3_4h"] <= 80.0) long_entry_logic.append(df["RSI_3_1d"] <= 80.0) long_entry_logic.append(df["RSI_14_1h"] < 80.0) long_entry_logic.append(df["RSI_14_4h"] < 80.0) long_entry_logic.append(df["RSI_14_1d"] < 90.0) # 5m & 1h down move, 15m still not low enough long_entry_logic.append( (df["RSI_3"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) ) # 15m & 4h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m & 1h down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 50.0)) # 15m & 1h down move, 1h still high long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 50.0)) # 1h & 4h down move, 4h still not low enough long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 30.0)) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0)) # 15m & 4h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m down move, 15m & 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["AROONU_14_4h"] < 30.0) ) # 15m & 4h down move, 1d high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 70.0)) # 15m & 1h down move, 1h still high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 60.0)) # 15m & 4h down move, 1d high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) ) # 15m & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 50.0)) # 15m & 4h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 15m & 4h down move, 1d overbought long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] < 50.0)) # 15m & 4h down move, 15m still high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) ) # 15m & 4h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 85.0)) # 15m & 4h down move, 15m high long_entry_logic.append( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 60.0) ) # 15m down move, 15m still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 50.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 70.0) ) # 1h & 4h down move, 4h still not low enough long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 20.0)) # 1h & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 1h & 4h down move, 4h still high long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 1h & 4h down move, 1h still high long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 50.0)) # 1h & 4h & 1d down move long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 15.0)) # 1h & 4h down move, 15m still high long_entry_logic.append( (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) ) # 1h down move, 1h high long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 70.0)) # 1h down move, 1h still not low enough, 4h high long_entry_logic.append( (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["AROONU_14_4h"] < 50.0) ) # 1h & 4h down move, 4h high long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) ) # 1h & 1d down move, 1d high long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 70.0)) # 1h & 1d down move, 15m still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) ) # 1h down move, 15m sitll not low enough, 1d high long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_1d"] < 90.0) ) # 1h & 4h down move, 15m high long_entry_logic.append( (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0) ) # 1h & 4h down move, 15m high long_entry_logic.append( (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 75.0) ) # 1h down move, 15m still not low enough, 1h still high long_entry_logic.append( (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["AROONU_14_1h"] < 40.0) ) # 1h down move, 4h high & overbought long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 50.0)) # 4h down move, 15m still high long_entry_logic.append((df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)) # 4h down move, 5m going down long_entry_logic.append((df["RSI_3_4h"] > 5.0) | (((df["EMA_12"] - df["EMA_26"]) / df["EMA_26"]) > -0.02)) # 4h down move, drop in last 1h long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["close"] > (df["close_max_12"] * 0.85))) # 4h & 1d down move, 1d still high long_entry_logic.append( (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 4h down move, 15m still not low enough, 4h high long_entry_logic.append( (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_4h"] < 70.0) ) # 4h down move, 15m & 4h still high long_entry_logic.append( (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 4h down move, 15m high long_entry_logic.append((df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0)) # 4h down move, 15m & 4h high long_entry_logic.append( (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0) | (df["AROONU_14_4h"] < 70.0) ) # 1d down move, 15m & 4h still high long_entry_logic.append( (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 1d down move, 15m still high, 4h still not low enough long_entry_logic.append( (df["RSI_3_1d"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 15m & 4h high, 1d downtrend long_entry_logic.append( (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] > -40.0) ) # 1d overbought, drop but not yet near the previous lows in last 12 days long_entry_logic.append( (df["ROC_9_1d"] < 200.0) | (df["close"] > (df["high_max_12_1d"] * 0.50)) | (df["close"] < (df["low_min_12_1d"] * 1.25)) ) # big drop in the last 4 days, 1h down move long_entry_logic.append((df["close"] > (df["high_max_24_4h"] * 0.50)) | (df["RSI_3_1h"] > 15.0)) # big drop in last 4 hours, 4h still not low enough long_entry_logic.append( (df["close"] > (df["high_max_24_4h"] * 0.50)) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # big drop in the last 4 days, 1d high long_entry_logic.append((df["close"] > (df["high_max_24_4h"] * 0.50)) | (df["AROONU_14_1d"] < 75.0)) # big drop in the last 6 days, 4h still high long_entry_logic.append((df["close"] > (df["high_max_6_1d"] * 0.25)) | (df["AROONU_14_4h"] < 50.0)) # big drop in the last 30 days, 4h down move long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.20)) | (df["RSI_3_4h"] > 20.0)) # big drop in the last 30 days, 1h down move long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.05)) | (df["RSI_3_1h"] > 15.0)) # big drop in the last 30 days, 15m still high long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.05)) | (df["AROONU_14_15m"] < 50.0)) # big drop in the last 30 days long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.01))) # 1d top wick, 1h down move long_entry_logic.append((df["top_wick_pct_1d"] < 30.0) | (df["RSI_3_1h"] > 20.0)) # Logic long_entry_logic.append(df["WILLR_14"] < -50.0) long_entry_logic.append(df["STOCHRSIk_14_14_3_3"] < 20.0) long_entry_logic.append(df["WILLR_84_1h"] < -70.0) long_entry_logic.append(df["STOCHRSIk_14_14_3_3_1h"] < 20.0) long_entry_logic.append(df["BBB_20_2.0_1h"] > 16.0) long_entry_logic.append(df["close_max_48"] >= (df["close"] * 1.10)) # Condition #43 - Quick mode (Long). if long_entry_condition_index == 43: # Protections long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) long_entry_logic.append(df["RSI_14_1h"] < 80.0) long_entry_logic.append(df["RSI_14_4h"] < 80.0) long_entry_logic.append(df["RSI_14_1d"] < 90.0) # 5m down move, 1h & 4h still high long_entry_logic.append( (df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 5m down move, 15m still high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)) # 5m down move, 1h high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)) # 5m down move, 1h still high, 4h high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["AROONU_14_4h"] < 90.0) ) # 5m down move, 15m & 1h still high long_entry_logic.append( (df["RSI_3"] > 20.0) | (df["AROONU_14_15m"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 15m & 1h & 1d down move long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 30.0)) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 15m down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0)) # 15m & 1h down move, 1d high long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 70.0)) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m down move, 15m still high long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 50.0)) # 15m down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_4h"] < 90.0)) # 15m & 1h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 60.0)) # 15m & 1h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 75.0)) # 15m & 4h down move, 15m still high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 50.0)) # 15m & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 40.0)) # 15m down move, 1h & 4h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0)) # 15m down move, 1h still not low enough, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 50.0)) # 15m & 1h down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 70.0)) # 15m & 1h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 90.0)) # 15m & 1h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) ) # 15m & 1h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) ) # 15m & 1h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) ) # 1h & 4h down move, 15m still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) ) # 1h & 4h down move, drop in the last hour long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["close"] > (df["close_max_12"] * 0.90)) ) # 1h & 4h down move, 1h still high long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_1h"] < 50.0)) # 1h & 1d down move, 1d still high long_entry_logic.append( (df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 45.0) ) # 1h, 4h still high, 1d downtrend long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -50.0)) # 4h down move, 15m still high, 4h still not low enough long_entry_logic.append( (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["AROONU_14_4h"] < 25.0) ) # 1d down move, 1h still high, 4h high long_entry_logic.append((df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 85.0)) # 1d top wick, 1h down move, 4h still high long_entry_logic.append( (df["top_wick_pct_1d"] < 50.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 50.0) ) # 4h high, drop but not yet near the previous lows long_entry_logic.append( (df["AROONU_14_4h"] < 70.0) | (df["close"] > (df["high_max_6_4h"] * 0.80)) | (df["close"] < (df["low_min_24_4h"] * 1.25)) ) # 1d red, drop but not yet near the previous lows in last 12 days long_entry_logic.append( (df["change_pct_1d"] > -20.0) | (df["close"] > (df["high_max_12_1d"] * 0.50)) | (df["close"] < (df["low_min_12_1d"] * 1.25)) ) # 1d overbought, drop but not yet near the previous lows in last 12 days long_entry_logic.append( (df["ROC_9_1d"] < 200.0) | (df["close"] > (df["high_max_12_1d"] * 0.50)) | (df["close"] < (df["low_min_12_1d"] * 1.25)) ) # big drop in the last 30 days long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.01))) # Logic long_entry_logic.append(df["RSI_14"] < 40.0) long_entry_logic.append(df["MFI_14"] < 40.0) long_entry_logic.append(df["AROONU_14"] < 25.0) long_entry_logic.append(df["EMA_26"] > df["EMA_12"]) long_entry_logic.append((df["EMA_26"] - df["EMA_12"]) > (df["open"] * 0.024)) long_entry_logic.append((df["EMA_26"].shift() - df["EMA_12"].shift()) > (df["open"] / 100.0)) long_entry_logic.append(df["close"] < (df["EMA_20"] * 0.958)) long_entry_logic.append(df["close"] < (df["BBL_20_2.0"] * 0.992)) # Condition #101 - Rapid mode (Long). if long_entry_condition_index == 101: # Protections long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) long_entry_logic.append(df["global_protections_long_pump"] == True) long_entry_logic.append(df["global_protections_long_dump"] == True) long_entry_logic.append(df["RSI_14_1h"] < 80.0) long_entry_logic.append(df["RSI_14_4h"] < 80.0) long_entry_logic.append(df["RSI_14_1d"] < 80.0) # 5m down move, 15m still not low enough long_entry_logic.append((df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)) # 5m down move, 1h & 4h still high long_entry_logic.append( (df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 5m down move, 1h still high long_entry_logic.append((df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)) # 5m & 15m down move, 1h still high long_entry_logic.append((df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 50.0)) # 5m & 1h down move, 4h still not low enough long_entry_logic.append((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 20.0)) # 5m & 4h down move, 4h still high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 30.0)) # 5m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 5m down move, 15m still high long_entry_logic.append((df["RSI_3"] > 10.0) | (df["AROONU_14_15m"] < 75.0)) # 5m down move, 1h still high, 4h high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["AROONU_14_4h"] < 90.0) ) # 15m down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_4h"] < 50.0)) # 15m down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) ) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0)) # 15m down move, 15m still not low enough long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)) # 15m down move, 1h still not low enough long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0)) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 15m & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 70.0)) # 15m & 1h down move, 15m still not low enough long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_15m"] < 25.0)) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0)) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 45.0) ) # 15m & 4h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 70.0)) # 15m down move, 15m still not low enough, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) | (df["AROONU_14_4h"] < 40.0) ) # 15m down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 75.0)) # 15m down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)) # 15m down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0)) # 15m & 1h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 60.0)) # 15m down move, 1h high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 80.0)) # 15m down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 90.0)) # 15m down move, 1h & 1d high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) ) # 15m & 1h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 80.0)) # 15m & 1h down move, 15m high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m down move, 15m still not low enough, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 15m & 1h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) ) # 1h down move, 1h still not low enough, 4h still high long_entry_logic.append((df["RSI_3_1h"] > 3.0) | (df["AROONU_14_1h"] < 30.0) | (df["AROONU_14_4h"] < 50.0)) # 1h & 4h & 1d down move long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 20.0)) # 1h & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 50.0)) # 1h & 4h down move, drop in the last hour long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["close"] > (df["close_max_12"] * 0.90)) ) # 1h down move, 1h still high long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0)) # 1h down move, 4h high long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)) # 1h & 4h down move, 1h still high long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 1h, 4h still high, 1d downtrend long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -50.0)) # 4h down move, 5m going down long_entry_logic.append((df["RSI_3_4h"] > 5.0) | (((df["EMA_12"] - df["EMA_26"]) / df["EMA_26"]) > -0.02)) # 4h down move, 1d high long_entry_logic.append((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0)) # 4h down move, drop in last 1h long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["close"] > (df["close_max_12"] * 0.85))) # 4h & 1d down move, 1d still high long_entry_logic.append( (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 4h down move, 1h & 4h still high long_entry_logic.append( (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["AROONU_14_4h"] < 50.0) ) # 4h down move, 4h still high, 4h overbought long_entry_logic.append((df["RSI_3_4h"] > 60.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_4h"] < 80.0)) # 1d down move, 15m still not low enough long_entry_logic.append((df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)) # 1d overbought, drop but not yet near the previous lows in last 12 days long_entry_logic.append( (df["ROC_9_1d"] < 200.0) | (df["close"] > (df["high_max_12_1d"] * 0.50)) | (df["close"] < (df["low_min_12_1d"] * 1.25)) ) # 1d top wick, 1h down move long_entry_logic.append((df["top_wick_pct_1d"] < 30.0) | (df["RSI_3_1h"] > 20.0)) # 1d top wick, 1h down move, 4h still high long_entry_logic.append( (df["top_wick_pct_1d"] < 50.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 50.0) ) # 1d red, drop but not yet near the previous lows in last 12 days long_entry_logic.append( (df["change_pct_1d"] > -20.0) | (df["close"] > (df["high_max_12_1d"] * 0.50)) | (df["close"] < (df["low_min_12_1d"] * 1.25)) ) # big drop in the last 30 days, 4h still high long_entry_logic.append( (df["close"] > (df["high_max_30_1d"] * 0.05)) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # big drop in the last 30 days long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.01))) # Logic long_entry_logic.append(df["RSI_14"] < 36.0) long_entry_logic.append(df["AROONU_14"] < 25.0) long_entry_logic.append(df["STOCHRSIk_14_14_3_3"] < 20.0) long_entry_logic.append(df["close"] < (df["SMA_16"] * 0.946)) long_entry_logic.append(df["AROONU_14_15m"] < 50.0) # Condition #102 - Rapid mode (Long). if long_entry_condition_index == 102: # Protections long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) long_entry_logic.append(df["global_protections_long_pump"] == True) long_entry_logic.append(df["global_protections_long_dump"] == True) long_entry_logic.append(df["RSI_3"] < 46.0) long_entry_logic.append(df["RSI_3_15m"] > 5.0) long_entry_logic.append(df["RSI_3_1h"] > 10.0) long_entry_logic.append(df["RSI_3_4h"] > 10.0) # 5m down move, 1h high long_entry_logic.append((df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)) # 5m down move, 4h overbought long_entry_logic.append((df["RSI_3"] > 3.0) | (df["ROC_9_4h"] < 80.0)) # 5m & 15 down move, 1h still high long_entry_logic.append( (df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 5m & 15m down move, 15m still not low enough long_entry_logic.append( (df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) ) # 5m & 15m down move, 4h high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_4h"] < 70.0)) # 5m & 15m down move, 16m still not low enough long_entry_logic.append( (df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) ) # 5m down move, 1h high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)) # 5m down move, 1h & 4h high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 95.0)) # 5m & 15m down move, 1h high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 5m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 5m & 4h down move, 4h still high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 5m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) ) # 5m down move, 15m still high long_entry_logic.append((df["RSI_3"] > 10.0) | (df["AROONU_14_15m"] < 75.0)) # 5m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) ) # 5m down move, 1h still high, 4h high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["AROONU_14_4h"] < 90.0) ) # 5m down move, 15m & 4h still high long_entry_logic.append( (df["RSI_3"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 5m down move, 15m still high, 4h high long_entry_logic.append( (df["RSI_3"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["AROONU_14_4h"] < 90.0) ) # 5m down move, 15m & 4h still high long_entry_logic.append( (df["RSI_3"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 5m down move, 15m high long_entry_logic.append((df["RSI_3"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 75.0)) # 5m down move, 15m & 1h high long_entry_logic.append((df["RSI_3"] > 20.0) | (df["AROONU_14_15m"] < 80.0) | (df["AROONU_14_1h"] < 80.0)) # 5m down move, 15m & 1h high long_entry_logic.append( (df["RSI_3"] > 20.0) | (df["AROONU_14_15m"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) ) # 5m down move, 15m high, 4h still high long_entry_logic.append( (df["RSI_3"] > 20.0) | (df["AROONU_14_15m"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m & 1h down move, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m & 4h down move, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 15m & 1h down move, 15m still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 45.0) ) # 15m & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0)) # 15m & 1d down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 15m down move, 1h & 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m down move, 1h & 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["AROONU_14_4h"] < 50.0) ) # 15m & 1h down move, 1h still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 15m down move, 1h still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["AROONU_14_4h"] < 90.0) ) # 15m down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 95.0)) # 15m down move, 15m still not low enough long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 25.0)) # 15m down move, 15m still not low enough, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_1h"] < 70.0) ) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m & 1h & 4h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 50.0) | (df["RSI_3_4h"] > 55.0) | (df["AROONU_14_4h"] < 80.0) ) # 15m & 1d down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) ) # 1h & 4h down move, 15m still high long_entry_logic.append( (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) ) # 1h, 4h still high, 1d downtrend long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -50.0)) # 1h down move, 4h high long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)) # 1h down move, 1h still not low enough long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 25.0)) # 15m & 4h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 70.0)) # 15m still high long_entry_logic.append( (df["RSI_14_15m"] < 50.0) | (df["AROONU_14_15m"] < 75.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) ) # 4h down move, 15m & 1h still high long_entry_logic.append( (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 1d green, 15m down move, 4h still high long_entry_logic.append( (df["change_pct_1d"] < 50.0) | (df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # big drop in the last 30 days long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.01))) # Logic long_entry_logic.append(df["WILLR_14"] < -95.0) long_entry_logic.append(df["STOCHRSIk_14_14_3_3"] < 10.0) long_entry_logic.append(df["close"] < (df["BBL_20_2.0"] * 0.999)) long_entry_logic.append(df["close"] < (df["EMA_20"] * 0.960)) # Condition #120 - Grind mode (Long). if long_entry_condition_index == 120: # Protections long_entry_logic.append(num_open_long_grind_mode < self.grind_mode_max_slots) long_entry_logic.append(is_pair_long_grind_mode) long_entry_logic.append(df["RSI_3"] <= 50.0) long_entry_logic.append(df["RSI_3_15m"] >= 20.0) long_entry_logic.append(df["RSI_3_1h"] >= 10.0) long_entry_logic.append(df["RSI_3_4h"] >= 10.0) long_entry_logic.append(df["RSI_14_1h"] < 80.0) long_entry_logic.append(df["RSI_14_4h"] < 80.0) long_entry_logic.append(df["RSI_14_1d"] < 80.0) # Logic long_entry_logic.append(df["STOCHRSIk_14_14_3_3"] < 20.0) long_entry_logic.append(df["WILLR_14"] < -80.0) long_entry_logic.append(df["AROONU_14"] < 25.0) long_entry_logic.append(df["close"] < (df["EMA_20"] * 0.978)) # Condition #141 - Top Coins mode (Long). if long_entry_condition_index == 141: # Protections long_entry_logic.append(is_pair_long_top_coins_mode) long_entry_logic.append(df["global_protections_long_pump"] == True) long_entry_logic.append(df["global_protections_long_dump"] == True) long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) long_entry_logic.append(df["RSI_3_1h"] <= 95.0) long_entry_logic.append(df["RSI_3_4h"] <= 80.0) long_entry_logic.append(df["RSI_3_1d"] <= 80.0) long_entry_logic.append(df["RSI_14_1h"] < 80.0) long_entry_logic.append(df["RSI_14_4h"] < 80.0) long_entry_logic.append(df["RSI_14_1d"] < 90.0) # 5m & 1h down move, 1h still high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 50.0)) # 15m & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 40.0)) # 15m & 4h down move, 15m still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 25.0) ) # 15m & 4h down move, 15m high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_15m"] < 70.0)) # 5m down move, 1h still not low enough, 4h high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 5m down move, 1h high, 4h still not low enough long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) ) # 5m down move, 1h still not low enough, 1d high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) ) # 15m down move, 15m still not low enough, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m & 1h down move, 1d still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 15m & 4h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m down move, 15m & 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m down move, 1h high, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 25.0) ) # 15m down move, 1h high, 1d still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0) ) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m & 4h down move, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 15m down move, 15m & 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m down move, 1h high, 1 downtrend long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_2_1d"] > -15.0) ) # 15m down move, 15m high, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m down move, 1h still not low enough, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m & 1h down move, 15m & 1h stil high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 75.0) ) # 15m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) ) # 1h & 4h down move, 15m still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) ) # 1h & 4h & 1d down move long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 20.0)) # 1h & 4h down move, 1d still high long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0) ) # 1h & 4h down move, 15m not low enough long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 25.0) ) # 1h down move, 1h still not low enough, 4h still high long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 1h & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) ) # 1h & 4h down move, 4h still high long_entry_logic.append( (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 1h & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 25.0) ) # 1h & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 25.0) ) # 1h down move, 1h & 4h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 1h & 4h down move, 1h high long_entry_logic.append( (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 1h down move, 15m & 1h still high, 4h high long_entry_logic.append( (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) ) # 4h down move, 15m still high, 1h still not low enough long_entry_logic.append( (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 25.0) ) # 4h down move, 15m & 4h still not low enough long_entry_logic.append( (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 4h down move, 1h stil high, 4h still not low enough long_entry_logic.append( (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 25.0) ) # 4h down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 4h down move, 1h high, 4h still high long_entry_logic.append( (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["AROONU_14_4h"] < 50.0) ) # Logic long_entry_logic.append(df["RSI_20"] < df["RSI_20"].shift(1)) long_entry_logic.append(df["RSI_3"] < 30.0) long_entry_logic.append(df["AROONU_14"] < 25.0) long_entry_logic.append(df["close"] < df["SMA_16"] * 0.956) # Condition #142 - Top Coins mode (Long). if long_entry_condition_index == 142: # Protections long_entry_logic.append(is_pair_long_top_coins_mode) long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) long_entry_logic.append(df["global_protections_long_pump"] == True) long_entry_logic.append(df["global_protections_long_dump"] == True) # 5m & 1h & 4h down move long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0)) # 5m & 1h down move, 1h still high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 50.0)) # 15m & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 40.0)) # 15m down move, 15m still not low enough, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m & 4h down move, 15m still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 25.0) ) # 15m & 4h down move, 15m high long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_15m"] < 70.0)) # 15m down move, 15m & 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 15m down move, 15m still not low enough, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_1h"] < 70.0) ) # 5m & 1h & 4h down move long_entry_logic.append((df["RSI_3"] > 10.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0)) # 5m down move, 15m & 4h still high long_entry_logic.append( (df["RSI_3"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 5m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) ) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) ) # 15m & 1h down move, 1d still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) # 15m & 1h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 15m & 4h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 15m down move, 4h high, 1d downtrend long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_2_1d"] > -20.0) ) # 15m strong down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)) # 15m down move, 15m stil high, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 15m down move, 1h & 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m & 1h down move, 1d overbought long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["ROC_9_1d"] < 80.0)) # 15m & 1h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m & 4h down move, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 15m & 4h down move, 1d still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 15m down move, 15m still not low enough, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) ) # 15m down move, 1h high, 1d still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0) ) # 15m down move, 4h still high, 1d high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) ) # 15m & 1h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 15m down move, 1h high, 1 downtrend long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_2_1d"] > -15.0) ) # 15m & 1h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 15m & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 15m down move, 1h still high, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m down move, 1h still not low enough, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 15m down move, 1h high, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) ) # 15m down move, 4h high, 1d stil high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 15m down move, 15m still high, 1d high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) ) # 15m & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) ) # 15m & 4h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m down move, 15m still high 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m down move, 1h still high, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) ) # 15m down move, 15m still high, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) ) # 1h & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) ) # 1h & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 1h & 4h down move, 1d still high long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0) ) # 1h & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) ) # 1h & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 1h & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 15.0) ) # 1h & 4h down move, 1d still high long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 1h & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 15.0) ) # 1h down move, 4h still high, 1d high long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) ) # 1h & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 25.0) ) # 1h & 4h down move, 15m still high long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) ) # 1h & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 25.0) ) # 1h & 4h down move, 1h still high long_entry_logic.append( (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 1h down move, 1h still not low enough, 4h still high long_entry_logic.append( (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 4h down move, 15m still high, 1h still not low enough long_entry_logic.append( (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 4h & 1d down move, 1h high long_entry_logic.append( (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 4h down move, 15m still high, 4h still not low enough long_entry_logic.append( (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 25.0) ) # 4h down move, 1h still not low enough, 1d still high long_entry_logic.append( (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 4h down move, 1h high, 4h still high long_entry_logic.append( (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["AROONU_14_4h"] < 50.0) ) # 1d down move, 1h & 4h still not low enough long_entry_logic.append( (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 15m & 1h still high, 4h high long_entry_logic.append( (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) ) # 15m still high, 1h & 1d high long_entry_logic.append( (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) ) # 15m & 4h high long_entry_logic.append((df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)) # 15m high, 1h & 4h still not low enough long_entry_logic.append( (df["STOCHRSIk_14_14_3_3_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 25.0) ) # 15m & 4h high long_entry_logic.append((df["STOCHRSIk_14_14_3_3_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)) # 1h & 4h still high, 1d high long_entry_logic.append( (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 1h & 4h high long_entry_logic.append((df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)) # 1h & 4h high long_entry_logic.append((df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)) # 4h & 1d high long_entry_logic.append((df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0)) # 1d red, 1d high long_entry_logic.append((df["change_pct_1d"] > -5.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0)) # 1d P&D, 1d high long_entry_logic.append( (df["change_pct_1d"] > -10.0) | (df["change_pct_1d"].shift(288) < 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # Logic long_entry_logic.append(df["RSI_4"] < 46.0) long_entry_logic.append(df["RSI_20"] < df["RSI_20"].shift(1)) long_entry_logic.append(df["close"] < df["SMA_16"] * 0.958) # Condition #143 - Top Coins mode (Long). if long_entry_condition_index == 143: # Protections long_entry_logic.append(is_pair_long_top_coins_mode) long_entry_logic.append(df["global_protections_long_pump"] == True) long_entry_logic.append(df["global_protections_long_dump"] == True) long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) long_entry_logic.append(df["RSI_3_1h"] < 95.0) long_entry_logic.append(df["RSI_3_4h"] < 80.0) long_entry_logic.append(df["RSI_3_1d"] < 80.0) long_entry_logic.append(df["RSI_14_1h"] < 80.0) long_entry_logic.append(df["RSI_14_4h"] < 80.0) long_entry_logic.append(df["RSI_14_1d"] < 90.0) # 5m & 1h down move, 1h still high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 50.0)) # 15m & 4h down move, 4h still high long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 40.0)) # 15m down move, 1h still not low enough, 1d still high long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 15m & 1h & 4h strong downtrend long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0)) # 15m & 1h strong down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) ) # 15m & 1h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 15m & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) ) # 15m & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 25.0) ) # 15m & 4h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["UO_7_14_28_4h"] < 50.0)) # 5m down move, 1h still not low enough, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m down move, 1h & 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["UO_7_14_28_4h"] < 40.0) ) # 15m & 1h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 15m & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 15m & 1h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 15m & 4h down move, 4h still high long_entry_logic.append( (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) ) # 15m & 1h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) ) # 15m & 4h down move, 1h high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) ) # 15m & 1h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) ) # 15m down move, 1h high, 1 downtrend long_entry_logic.append( (df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_2_1d"] > -15.0) ) # 15m down move, 15m & 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 15m down move, 4h high, 1d downtrend long_entry_logic.append( (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] > -30.0) ) # 15m & 1h down move, 4h high long_entry_logic.append( (df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) ) # 1h & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 2.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 1h & 4h strong down move, 15m still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0) ) # 1h & 4h down move, 1d downtrend long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_2_1d"] > -20.0)) # 1h & 4h down move, 1d still high long_entry_logic.append( (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0) ) # 1h & 4h down move, 15m still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) ) # 1h & 4h down move, 15m still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) ) # 1h & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 10.0) ) # 1h & 4h down move, 4h still high long_entry_logic.append( (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 1h down move, 4h high long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)) # 15m & 1h down move, 1h high long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 60.0)) # 1h & 4h down move, 4h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 15m & 4h down move, 1h still high long_entry_logic.append( (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) ) # 1h & 4h down move, 1d high long_entry_logic.append( (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) ) # 1h & 4h down move, 1d downtrend long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] > -30.0)) # 1h & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 1h & 4h down move, 1h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) ) # 1h down move, 4h still not low enough, 1d downtrend long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 25.0) | (df["ROC_2_1d"] > -20.0) ) # 1h down move, 4h still high, 1d downtrend long_entry_logic.append( (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -30.0) ) # 1h & 4h down move, 1h still high long_entry_logic.append( (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) ) # 1h & 4h down move, 4h still high long_entry_logic.append( (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) ) # 1h down move, 1h high, 4h still not low enough long_entry_logic.append( (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # 1h down move, 4h & 1d high long_entry_logic.append( (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) ) # 1h down move, 4h & 1d high long_entry_logic.append( (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) # 4h down move, 15m stil high, 1h still not low enough long_entry_logic.append( (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) ) # 4h down move, 1h still high, 4h still not low enough long_entry_logic.append( (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) ) # 4h down move, 1h high, 4h still high long_entry_logic.append( (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["AROONU_14_4h"] < 50.0) ) # 1d down move, 1h & 4h still not low enough long_entry_logic.append( (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) ) # Logic long_entry_logic.append(df["RSI_3"] < 40.0) long_entry_logic.append(df["STOCHRSIk_14_14_3_3"] < 50.0) long_entry_logic.append(df["EMA_26"] > df["EMA_12"]) long_entry_logic.append((df["EMA_26"] - df["EMA_12"]) > (df["open"] * 0.020)) long_entry_logic.append((df["EMA_26"].shift() - df["EMA_12"].shift()) > (df["open"] / 100.0)) # Condition #144 - Top Coins mode (Long). if long_entry_condition_index == 144: # Protections long_entry_logic.append(is_pair_long_top_coins_mode) long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) long_entry_logic.append(df["RSI_14_1h"] < 80.0) long_entry_logic.append(df["RSI_14_4h"] < 80.0) long_entry_logic.append(df["RSI_14_1d"] < 80.0) # 5m & 1h down move, 1h still high long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 50.0)) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0)) # 15m & 4h down move, 4h still not low enough long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 30.0)) # 15m & 1h & 4h down move long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0)) # 15m & 1h down move, 4h high long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 70.0)) # Logic long_entry_logic.append(df["WILLR_14"] < -50.0) long_entry_logic.append(df["STOCHRSIk_14_14_3_3"] < 30.0) long_entry_logic.append(df["STOCHRSIk_14_14_3_3_15m"] < 30.0) long_entry_logic.append(df["STOCHRSIk_14_14_3_3_1h"] < 30.0) long_entry_logic.append(df["BBB_20_2.0_1h"] > 12.0) long_entry_logic.append(df["close_max_48"] >= (df["close"] * 1.10)) ############################################################################################### # LONG ENTRY CONDITIONS ENDS HERE ############################################################################################### long_entry_logic.append(df["volume"] > 0) item_long_entry = reduce(lambda x, y: x & y, long_entry_logic) df.loc[item_long_entry, "enter_tag"] += f"{long_entry_condition_index} " long_entry_conditions.append(item_long_entry) df.loc[:, "enter_long"] = item_long_entry if long_entry_conditions: df.loc[:, "enter_long"] = reduce(lambda x, y: x | y, long_entry_conditions) ############################################################################################### # SHORT ENTRY CONDITIONS STARTS HERE ############################################################################################### # ______ __ __ ______ _______ ________ ________ __ __ ________ ________ _______ # / \| \ | \/ \| | \ | | \ | | | | \ # | $$$$$$| $$ | $| $$$$$$| $$$$$$$\$$$$$$$$ | $$$$$$$| $$\ | $$\$$$$$$$| $$$$$$$| $$$$$$$\ # | $$___\$| $$__| $| $$ | $| $$__| $$ | $$ | $$__ | $$$\| $$ | $$ | $$__ | $$__| $$ # \$$ \| $$ $| $$ | $| $$ $$ | $$ | $$ \ | $$$$\ $$ | $$ | $$ \ | $$ $$ # _\$$$$$$| $$$$$$$| $$ | $| $$$$$$$\ | $$ | $$$$$ | $$\$$ $$ | $$ | $$$$$ | $$$$$$$\ # | \__| $| $$ | $| $$__/ $| $$ | $$ | $$ | $$_____| $$ \$$$$ | $$ | $$_____| $$ | $$ # \$$ $| $$ | $$\$$ $| $$ | $$ | $$ | $$ | $$ \$$$ | $$ | $$ | $$ | $$ # \$$$$$$ \$$ \$$ \$$$$$$ \$$ \$$ \$$ \$$$$$$$$\$$ \$$ \$$ \$$$$$$$$\$$ \$$ # for enabled_short_entry_signal in self.short_entry_signal_params: short_entry_condition_index = int(enabled_short_entry_signal.split("_")[3]) item_short_buy_protection_list = [True] if self.short_entry_signal_params[f"{enabled_short_entry_signal}"]: # Short Entry Conditions Starts Here # ----------------------------------------------------------------------------------------- # IMPORTANT: Short Condition Descriptions are not for shorts. These are for longs but completely mirrored opposite side # Please dont change these comment descriptions. With these descriptions we are comparing long/short positions. short_entry_logic = [] short_entry_logic.append(reduce(lambda x, y: x & y, item_short_buy_protection_list)) # Condition #501 - Normal mode (Short). if short_entry_condition_index == 501: # Protections short_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) short_entry_logic.append(df["global_protections_short_pump"] == True) short_entry_logic.append(df["global_protections_short_dump"] == True) short_entry_logic.append(df["RSI_3_1h"] >= 5.0) short_entry_logic.append(df["RSI_3_4h"] >= 20.0) short_entry_logic.append(df["RSI_3_1d"] >= 20.0) short_entry_logic.append(df["RSI_14_1h"] > 20.0) short_entry_logic.append(df["RSI_14_4h"] > 20.0) short_entry_logic.append(df["RSI_14_1d"] > 10.0) # 5m up move, 15m & 1h still not high enough short_entry_logic.append((df["RSI_3"] < 95.0) | (df["AROOND_14_15m"] < 25.0) | (df["AROOND_14_1h"] < 25.0)) # 4m up move, 1h & 4h still low short_entry_logic.append( (df["RSI_3"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) ) # 4m & 1h up move, 1h still low short_entry_logic.append( (df["RSI_3"] < 90.0) | (df["RSI_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) ) # 5m up move, 15m & 1h still not high enough short_entry_logic.append( (df["RSI_3"] < 90.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 75.0) ) # 15m up move, 1h low short_entry_logic.append((df["RSI_3_15m"] < 97.0) | (df["AROONU_14_1h"] > 30.0)) # 15m up move, 15m stil not high enough, 1h low short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 10.0) ) # 15m up move, 1h still not high enough, 4h low short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["AROONU_14_4h"] > 20.0) ) # 15m up move, 1h & 4h still not high enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 80.0) ) # 15m & 1h up move, 4h still going up short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["CCI_20_change_pct_4h"] < -0.0) ) # 15m & 1h up move, 4h still not high enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 80.0) ) # 15m & 1h up move, 4h still not high enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m & 4h up move, 1h still not high enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_4h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 75.0) ) # 15m up move, 1h up move, 1h still not high enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_change_pct_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) ) # 15m & 1h up move, 1h not high enough short_entry_logic.append((df["RSI_3_15m"] < 90.0) | (df["RSI_3_1h"] < 90.0) | (df["AROOND_14_1h"] < 50.0)) # 15m & 1h up move, 1d stil not high enough short_entry_logic.append((df["RSI_3_15m"] < 90.0) | (df["RSI_3_1h"] < 90.0) | (df["RSI_14_1h"] > 80.0)) # 15m & 1h up move, 15m still not high enough short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 60.0) ) # 15m & 4h up move, 1h still not high enough short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 80.0) ) # 15m & 4h up move, 1h still not high enough short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 90.0) ) # 15m & 4h up move, 1d low short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 20.0) ) # 15m & 4h up move, 4h not high enough short_entry_logic.append((df["RSI_3_15m"] < 90.0) | (df["RSI_3_4h"] < 90.0) | (df["AROOND_14_4h"] < 50.0)) # 15m & 4h up move, 1h low short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_4h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 20.0) ) # 15m up move, 1h low, 4h still not high enough short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) ) # 15m & 1h up move, 4h low short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["RSI_3_1h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 20.0) ) # 15m & 1h up move, 1d still low short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["RSI_3_1h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 60.0) ) # 15m & 1h up move, 1h low short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["RSI_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0) ) # 15m & 1h up move, 4h low short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["RSI_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 15m & 4h down move, 4h still not high enough short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 75.0) ) # 15m & 1h up move, 1h still not high enough short_entry_logic.append((df["RSI_3_15m"] < 80.0) | (df["RSI_3_1h"] < 70.0) | (df["AROONU_14_1h"] > 60.0)) # 1h up move, 4h low short_entry_logic.append((df["RSI_3_1h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0)) # 1h & 4h up move, 4h still not high enough short_entry_logic.append((df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 95.0) | (df["UO_7_14_28_4h"] > 60.0)) # 1h & 4h up move, 4h still low short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 1h & 4h up move, 4h uptrend short_entry_logic.append((df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 85.0) | (df["ROC_9_4h"] < 40.0)) # 1h & 4h strong up move short_entry_logic.append((df["RSI_3_1h"] < 95.0) | (df["MFI_14_1h"] < 95.0) | (df["RSI_3_4h"] < 95.0)) # 1h & 4h up move, 1h still low short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) ) # 1h & 4h up move, 1d still not high enough short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) # 1h up move, 1h still not high enough, 1d low short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 30.0) ) # 4h up move, 15m still low, 1h not high enough short_entry_logic.append( (df["RSI_3_4h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 50.0) | (df["AROOND_14_1h"] < 25.0) ) # 1d up move, 1h & 4h still not low enough short_entry_logic.append( (df["RSI_3_1d"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # Logic short_entry_logic.append(df["EMA_12"] > df["EMA_26"]) short_entry_logic.append((df["EMA_12"] - df["EMA_26"]) > (df["open"] * 0.030)) short_entry_logic.append((df["EMA_12"].shift() - df["EMA_26"].shift()) > (df["open"] / 100.0)) short_entry_logic.append(df["close"] > (df["BBU_20_2.0"] * 1.001)) # Condition #502 - Normal mode (Short). if short_entry_condition_index == 502: # Protections short_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) # 5m strong down move short_entry_logic.append((df["RSI_3"] < 98.0) | (df["ROC_9"] < 50.0)) # 5m down move, 1h still high, 4h down move short_entry_logic.append( (df["RSI_3"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) | (df["RSI_3_4h"] < 90.0) ) # 15m downmove, 4h overbought short_entry_logic.append((df["RSI_3_change_pct_15m"] < 40.0) | (df["RSI_14_4h"] > 25.0)) # 5m & 15m & 1h down move short_entry_logic.append((df["RSI_3"] < 95.0) | (df["RSI_3_15m"] < 90.0) | (df["RSI_3_1h"] < 85.0)) # 5m down move, 4h high short_entry_logic.append((df["RSI_3"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 25.0)) # 5m down move, 15m still high, 1h high short_entry_logic.append( (df["RSI_3"] < 90.0) | (df["AROOND_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 10.0) ) # 15m & 1h down move, 4h still high short_entry_logic.append((df["RSI_3_15m"] < 98.0) | (df["RSI_3_1h"] < 85.0) | (df["MFI_14_4h"] > 50.0)) # 15m & 1h down move, 4h down short_entry_logic.append((df["RSI_3_15m"] < 98.0) | (df["RSI_3_1h"] < 90.0) | (df["ROC_9_4h"] < 10.0)) # 15m down move, 1h high short_entry_logic.append((df["RSI_3_15m"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0)) # 15m down move, 15m still not low enough, 1h & 4h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["AROOND_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 75.0) | (df["MFI_14_4h"] > 50.0) ) # 15m & 1h down move, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_1h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m & 1h down move, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 15m & 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) ) # 15m down move, 1h high short_entry_logic.append((df["RSI_3_15m"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 10.0)) # 15m down move, 1h still high, 4h overbought short_entry_logic.append((df["RSI_3_15m"] < 80.0) | (df["RSI_14_1h"] > 60.0) | (df["RSI_14_4h"] > 20.0)) # 15m down move, 1h high short_entry_logic.append((df["RSI_3_15m"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0)) # 15m down move, 1h low, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["ROC_9_1h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m down move, 1h & 4h high short_entry_logic.append( (df["RSI_3_15m"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) ) # 15m down move, 1h high, 1d low short_entry_logic.append( (df["RSI_3_change_pct_15m"] < 40.0) | (df["ROC_9_1h"] > -10.0) | (df["ROC_9_1d"] < 50.0) ) # 15m down move, 4h high, 1d low short_entry_logic.append( (df["ROC_9_15m"] < 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) | (df["ROC_9_1d"] < 50.0) ) # 15m down move, 4h high, 1d low short_entry_logic.append((df["RSI_3_15m"] < 90.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] < 50.0)) # 15m down move, 1h still high, 1d high short_entry_logic.append((df["RSI_3_15m"] < 85.0) | (df["RSI_14_1h"] > 60.0) | (df["ROC_9_1d"] > -50.0)) # 15m & 1h down move, 1d overbought short_entry_logic.append((df["RSI_3_15m"] < 80.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_1d"] > -40.0)) # 15m down move, 1h high, 4h downtrend short_entry_logic.append( (df["RSI_3_15m"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 10.0) | (df["ROC_9_4h"] < 10.0) ) # 15m & 1h & 4h down move short_entry_logic.append((df["RSI_3_15m"] < 90.0) | (df["CMF_20_1h"] < 0.4) | (df["RSI_3_4h"] < 90.0)) # 14m down move, 4h downtrend, 1d overbought short_entry_logic.append((df["RSI_3_15m"] < 85.0) | (df["ROC_9_4h"] < 15.0) | (df["ROC_9_1d"] > -100.0)) # 15m strong downtrend, 1h downtrend short_entry_logic.append((df["RSI_3_15m"] < 90.0) | (df["MFI_14_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0)) # 15m down move, 4h overbought & high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["ROC_9_4h"] > -15.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m down move, 1h & 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) | (df["UO_7_14_28_4h"] > 50.0) ) # 15m down move, 15m not low enough, 1h overbought short_entry_logic.append( (df["RSI_14_change_pct_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 90.0) | (df["RSI_14_1h"] > 30.0) ) # 15m still not low enough, 4h & 1d going down short_entry_logic.append((df["AROOND_14_15m"] < 25.0) | (df["RSI_3_4h"] < 80.0) | (df["RSI_3_1d"] < 70.0)) # 15m still not low enough, 4h overbought short_entry_logic.append( (df["AROOND_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 10.0) | (df["ROC_9_4h"] > -40.0) ) # 15m still not low enough, 1h overbought short_entry_logic.append((df["AROOND_14_15m"] < 25.0) | (df["RSI_14_1h"] > 10.0)) # 1h strong down move short_entry_logic.append((df["RSI_3_1h"] < 95.0) | (df["RSI_3_change_pct_1h"] < 85.0)) # 1h & 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) ) # 1h down move, 1d strong downtrend short_entry_logic.append((df["RSI_3_1h"] < 90.0) | (df["RSI_3_1d"] < 95.0)) # 1h down move, 1h still not low enough, 4h still not low short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["RSI_14_4h"] > 50.0) ) # 1h & 4h down move, 4h still not low enough, 1d still high short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_change_pct_4h"] < 50.0) | (df["AROOND_14_4h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 60.0) ) # 1h down move, 4h still not low enough, 1d overbought short_entry_logic.append((df["RSI_3_1h"] < 90.0) | (df["AROOND_14_4h"] < 25.0) | (df["ROC_9_1d"] > -120.0)) # 1h down move, 4h overbought short_entry_logic.append((df["RSI_3_1h"] < 85.0) | (df["RSI_14_4h"] > 25.0)) # 1h P&D, 1d downtrend short_entry_logic.append( (df["RSI_3_1h"] < 70.0) | (df["RSI_3_1h"].shift(12) > 20.0) | (df["ROC_9_1d"] < 20.0) ) # 4h P&D short_entry_logic.append((df["RSI_3_4h"] < 70.0) | (df["RSI_3_4h"].shift(48) > 5.0)) # 4h strong downtrend short_entry_logic.append((df["RSI_3_4h"] < 95.0) | (df["ROC_9_4h"] < 40.0)) # 1h stil high, 1d overbought short_entry_logic.append( (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 5.0) | (df["ROC_9_1d"] > -100.0) ) # 1h & 4h still high, 1d strong down move short_entry_logic.append( (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) | (df["UO_7_14_28_4h"] > 55.0) | (df["RSI_3_1d"] < 90.0) ) # 5m down, 1h down move, 4h high short_entry_logic.append( (df["ROC_9"] > -5.0) | (df["RSI_3_change_pct_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m down move, 4h pumped and going down short_entry_logic.append((df["ROC_9_15m"] < 10.0) | (df["ROC_2_4h"] > -5.0) | (df["ROC_9_4h"] > -20.0)) # 14m down move, 4h high short_entry_logic.append( (df["ROC_9_15m"] < 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) | (df["ROC_9_4h"] > -35.0) ) # 1h downtrend, 4h overbought short_entry_logic.append( (df["ROC_2_1h"] < 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 95.0) | (df["ROC_9_4h"] < 70.0) ) # 1h downtrend, 4h overbought short_entry_logic.append((df["ROC_2_1h"] < 5.0) | (df["ROC_9_1h"] < 5.0) | (df["ROC_9_4h"] > -35.0)) # 1h down, 1d strong downtrend short_entry_logic.append((df["ROC_9_1h"] < 10.0) | (df["ROC_9_1d"] < 50.0)) # 1h & 4h & 1d downtrend short_entry_logic.append((df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 40.0)) # 1h down, 1d overbought short_entry_logic.append((df["ROC_9_1h"] < 10.0) | (df["ROC_9_1d"] > -80.0)) # 4h P&D short_entry_logic.append((df["ROC_2_4h"] < 20.0) | (df["ROC_9_4h"] > -80.0)) # 4h overbought, 1h still high, 1d downtrend short_entry_logic.append( (df["ROC_9_4h"] > -50.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["ROC_9_1d"] < 50.0) ) # 1d P&D short_entry_logic.append((df["ROC_2_1d"] < 20.0) | (df["ROC_9_1d"] > -50.0)) # 1d strong downtrend short_entry_logic.append((df["ROC_2_1d"] < 20.0) | (df["ROC_9_1d"] < 50.0)) # 1h red, previous 1h green, 1h overbought short_entry_logic.append( (df["change_pct_1h"] < 5.0) | (df["change_pct_1h"].shift(12) > -5.0) | (df["RSI_14_1h"].shift(12) < 80.0) ) # 1h red, previous 1h green, 1h overbought short_entry_logic.append( (df["change_pct_1h"] < 2.0) | (df["change_pct_1h"].shift(12) > -10.0) | (df["RSI_14_1h"].shift(12) < 80.0) ) short_entry_logic.append( (df["change_pct_1h"] < 5.0) | (df["change_pct_1h"].shift(12) > -5.0) | (df["ROC_9_1d"] < 50.0) ) # 1h red, 4h green, 1h overbought short_entry_logic.append( (df["change_pct_1h"] < 5.0) | (df["change_pct_4h"] > -10.0) | (df["RSI_14_1h"].shift(12) > 30.0) ) # 4h red, previous 4h green, 4h still high short_entry_logic.append( (df["change_pct_4h"] < 5.0) | (df["change_pct_4h"].shift(48) > -5.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 4h red, previous 4h green, 4h overbought short_entry_logic.append( (df["change_pct_4h"] < 8.0) | (df["change_pct_4h"].shift(48) > -8.0) | (df["RSI_14_4h"].shift(48) > 20.0) ) # 4h red, previous 4h green, 15m down move short_entry_logic.append( (df["change_pct_4h"] < 8.0) | (df["change_pct_4h"].shift(48) > -8.0) | (df["RSI_3_15m"] < 95.0) ) # 1d P&D, 1d overbought short_entry_logic.append( (df["change_pct_1d"] < 10.0) | (df["change_pct_1d"].shift(288) > -10.0) | (df["ROC_9_1d"] > -100.0) ) # 1d P&D, 5m & 1h down move short_entry_logic.append( (df["change_pct_1d"] < 10.0) | (df["change_pct_1d"].shift(288) > 10.0) | (df["RSI_3_15m"] < 90.0) | (df["change_pct_1h"] < 5.0) ) # 1d P&D, 15m & 1h still not low enough short_entry_logic.append( (df["change_pct_1d"] < 20.0) | (df["change_pct_1d"].shift(288) > -20.0) | (df["AROOND_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) ) # Logic short_entry_logic.append(df["AROOND_14"] < 25.0) short_entry_logic.append(df["STOCHRSIk_14_14_3_3"] > 80.0) short_entry_logic.append(df["close"] > (df["EMA_20"] * 1.056)) # Condition #503 - Normal mode (Short). if short_entry_condition_index == 503: # Protections short_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) short_entry_logic.append(df["RSI_3_1h"] >= 5.0) short_entry_logic.append(df["RSI_3_4h"] >= 20.0) short_entry_logic.append(df["RSI_3_1d"] >= 20.0) short_entry_logic.append(df["RSI_14_1h"] > 20.0) short_entry_logic.append(df["RSI_14_4h"] > 20.0) short_entry_logic.append(df["RSI_14_1d"] > 10.0) # 5m strong down move short_entry_logic.append((df["RSI_3"] < 98.0) | (df["ROC_9"] < 50.0)) # 5m down move, 4h still high short_entry_logic.append( (df["RSI_3"] < 90.0) | (df["MFI_14"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 5m & 1h down move, 1h still high short_entry_logic.append( (df["RSI_3"] < 90.0) | (df["RSI_3_1h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) ) # 5m down move, 4h downtrend, 1h still high short_entry_logic.append( (df["RSI_3"] < 95.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0) ) # 5m & 4h strong down move, 4h still not low enough short_entry_logic.append( (df["RSI_3"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) ) # 5m down move, 1h high, 1d overbought short_entry_logic.append((df["RSI_3"] < 90.0) | (df["ROC_9_1h"] < 15.0) | (df["ROC_9_1d"] > -40.0)) # 5m down move, 1h & 4h high short_entry_logic.append( (df["RSI_3"] < 90.0) | (df["UO_7_14_28_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 5m down move, 1h high, 4h downtrend short_entry_logic.append( (df["RSI_3"] < 98.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 10.0) | (df["ROC_9_4h"] < 10.0) ) # 5m & 1h down move, 4h down short_entry_logic.append((df["RSI_3"] < 90.0) | (df["RSI_3_1h"] < 85.0) | (df["CMF_20_4h"] > -0.2)) # 5m down move, 1h high short_entry_logic.append((df["RSI_14_change_pct"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0)) # 5m down move, 1h high short_entry_logic.append((df["RSI_14_change_pct"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0)) # 15m & 1h down move, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m down move, 15m still not low enough, 1h & 4h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["AROOND_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 75.0) | (df["MFI_14_4h"] > 50.0) ) # 5m & 1h down move, 1h still high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) ) # 15m & 4h down move, 1h still not low short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) ) # 15m & 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) ) # 15m down move, 1h & 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) | (df["RSI_14_4h"] > 50.0) ) # 15m & 1h & 4h down move short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_change_pct_1h"] > -60.0) | (df["RSI_3_change_pct_4h"] > -40.0) ) # 15m down move, 1d downtrend, 1h still high short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["ROC_9_1d"] > -25.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0) ) # 15m & 1d down move, 1h still high short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_1d"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0) ) # 15m & 4h down move, 1h still high short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_4h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) ) # 15m down move, 15m still not low enough, 4h down move short_entry_logic.append((df["RSI_3_15m"] < 90.0) | (df["AROOND_14_15m"] < 50.0) | (df["RSI_3_4h"] < 85.0)) # 15m down move, 1h still high, 1d strong downtrend short_entry_logic.append((df["RSI_3_15m"] < 80.0) | (df["AROOND_14_1h"] < 25.0) | (df["MFI_14_1d"] < 90.0)) # 15m down move, 1h still high, 1d downtrend short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0) | (df["ROC_9_1d"] < 50.0) ) # 15m down move, 4h still high, 1d downtrend short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) | (df["ROC_9_1d"] < 50.0) ) # 15m & 4h down move, 1d downtrend short_entry_logic.append((df["RSI_3_15m"] < 85.0) | (df["RSI_3_4h"] < 85.0) | (df["ROC_9_1d"] > -70.0)) # 15m down move, 15m not low enough, 1h overbought short_entry_logic.append( (df["RSI_14_change_pct_15m"] > -40.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 90.0) | (df["RSI_14_1h"] > 30.0) ) # 15m strong down move, 1h still high short_entry_logic.append((df["ROC_9_15m"] < 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0)) # 15m downtrend, 1h & 4h still high short_entry_logic.append( (df["ROC_9_15m"] < 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m & 1h & 4h down move short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["CCI_20_change_pct_4h"] < 0.0) ) # 15m strong down move short_entry_logic.append((df["RSI_3_15m"] < 90.0) | (df["MFI_14_15m"] < 85.0) | (df["AROOND_14_15m"] < 25.0)) # 14m down move, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 80.0) | (df["AROOND_14_15m"] < 50.0) | (df["UO_7_14_28_4h"] > 50.0) ) # 15m down move, 1h stil high, 1d overbought short_entry_logic.append((df["RSI_3_15m"] < 85.0) | (df["AROOND_14_1h"] < 25.0) | (df["ROC_9_1d"] > -80.0)) # 15m down move, 1h high, 1d overbought short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0) | (df["ROC_9_1d"] > -50.0) ) # 1h & 4h down move, 4h still high short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_change_pct_4h"] < 65.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 1h & 4h down move, 4h still high short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0) ) # 1h down move, 4h still not low enough, 1d overbought short_entry_logic.append((df["RSI_3_1h"] < 90.0) | (df["AROOND_14_4h"] < 25.0) | (df["ROC_9_1d"] > -120.0)) # 1h down move, 1h still not low enough, 4h still not low short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["RSI_14_4h"] > 50.0) ) # 1h down move, 4h still high short_entry_logic.append((df["RSI_3_1h"] < 95.0) | (df["RSI_14_4h"] > 60.0)) # 1h down move, 4h still high, 1d downtrend short_entry_logic.append( (df["RSI_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) | (df["ROC_9_1d"] < 50.0) ) # 1h down move, 4h still high, 1d downtrend short_entry_logic.append( (df["RSI_3_change_pct_1h"] > -65.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) | (df["ROC_9_1d"] < 50.0) ) # 4h & 1d down move, 1h still high short_entry_logic.append( (df["RSI_3_4h"] < 90.0) | (df["ROC_2_1d"] < 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) ) # 15m still high, 1h down move, 4h high short_entry_logic.append( (df["AROOND_14_15m"] < 50.0) | (df["RSI_3_change_pct_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 15m still high, 1h & 4h down move, 4h still high short_entry_logic.append( (df["AROOND_14_15m"] < 50.0) | (df["RSI_3_1h"] < 85.0) | (df["RSI_3_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 80.0) ) # 15m & 1h still high, 4h overbought short_entry_logic.append( (df["AROOND_14_15m"] < 50.0) | (df["AROOND_14_1h"] < 50.0) | (df["ROC_9_4h"] > -40.0) ) # 15m still high, 1h down move, 1d downtrend short_entry_logic.append( (df["STOCHRSIk_14_14_3_3_15m"] > 30.0) | (df["RSI_3_4h"] < 90.0) | (df["ROC_9_1d"] < 50.0) ) # 1h & 4h still high, 1d strong down move short_entry_logic.append( (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) | (df["UO_7_14_28_4h"] > 55.0) | (df["RSI_3_1d"] < 90.0) ) # 1h still high, 4h & 1d downtrend short_entry_logic.append((df["AROOND_14_1h"] < 25.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 50.0)) # 4h moving down, 1d P&D short_entry_logic.append( (df["ROC_9_4h"] < 30.0) | (df["RSI_3_change_pct_1d"] < 50.0) | (df["ROC_9_1d"] > -50.0) ) # 1d strong downtrend, 4h still high short_entry_logic.append( (df["ROC_2_1d"] < 20.0) | (df["ROC_9_1d"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) ) # 1d P&D, 1d overbought short_entry_logic.append( (df["ROC_2_1d"] < 10.0) | (df["ROC_9_1d"] > -50.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 5.0) ) # 1h red, previous 1h green, 1h overbought short_entry_logic.append( (df["change_pct_1h"] < 1.0) | (df["change_pct_1h"].shift(12) > -5.0) | (df["RSI_14_1h"].shift(12) < 80.0) ) # 1h red, 1h stil high, 4h downtrend short_entry_logic.append( (df["change_pct_1h"] < 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) | (df["ROC_9_4h"] > -25.0) ) # 4h red, 15m down move, 4h still high short_entry_logic.append( (df["change_pct_4h"] < 5.0) | (df["RSI_3_15m"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 4h red, previous 4h green, 4h overbought short_entry_logic.append( (df["change_pct_4h"] < 5.0) | (df["change_pct_4h"].shift(48) > -5.0) | (df["ROC_9_4h"].shift(48) > -25.0) ) # 4h red, 4h still not low enough, 1h downtrend, 1h overbought short_entry_logic.append( (df["change_pct_4h"] < 10.0) | (df["AROOND_14_4h"] < 25.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_1d"] > -40.0) ) # 4h red, 4h still high, 1d downtrend short_entry_logic.append( (df["change_pct_4h"] < 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) | (df["ROC_9_1d"] < 40.0) ) # 1d P&D, 1d overbought short_entry_logic.append( (df["change_pct_1d"] < 10.0) | (df["change_pct_1d"].shift(288) > -10.0) | (df["ROC_9_1d"] > -100.0) ) # 1d P&D, 4h still high short_entry_logic.append( (df["change_pct_1d"] < 15.0) | (df["change_pct_1d"].shift(288) > -15.0) | (df["AROOND_14_4h"] < 50.0) ) short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 95.0) | (df["CCI_20_change_pct_4h"] < 0.0) ) # Logic short_entry_logic.append(df["RSI_20"] > df["RSI_20"].shift(1)) short_entry_logic.append(df["RSI_4"] > 54.0) short_entry_logic.append(df["AROOND_14"] < 25.0) short_entry_logic.append(df["close"] > df["SMA_16"] * 1.058) # Condition #504 - Normal mode (Short). if short_entry_condition_index == 504: # Protections short_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) short_entry_logic.append(df["RSI_3_1h"] >= 5.0) short_entry_logic.append(df["RSI_3_4h"] >= 20.0) short_entry_logic.append(df["RSI_3_1d"] >= 20.0) short_entry_logic.append(df["RSI_14_1h"] > 20.0) short_entry_logic.append(df["RSI_14_4h"] > 20.0) short_entry_logic.append(df["RSI_14_1d"] > 10.0) # 15m & 1h down move, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["MFI_14_15m"] < 90.0) | (df["RSI_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m & 1h down move, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["MFI_14_15m"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 14m & 4h down move, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) ) # 15m down move, 1h & 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["UO_7_14_28_1h"] < 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 1h strong down move, 4h still high short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["RSI_14_change_pct_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 1h strong down move, 4h down move, 4h still high short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["RSI_3_change_pct_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 1h & 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 75.0) ) # 1h & 4h down move, 4h still not low enough short_entry_logic.append((df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 75.0) | (df["AROOND_14_4h"] < 50.0)) # 15m down move, 1h strong downtrend short_entry_logic.append((df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["MFI_14_1h"] > 5.0)) # 15m downtrend, 4h down move, 4h stil high short_entry_logic.append( (df["ROC_9_15m"] > -20.0) | (df["RSI_3_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # Logic short_entry_logic.append(df["AROOND_14"] < 25.0) short_entry_logic.append(df["AROOND_14_15m"] < 25.0) short_entry_logic.append(df["close"] > (df["EMA_9"] * 1.058)) short_entry_logic.append(df["close"] > (df["EMA_20"] * 1.040)) # Condition #541 - Quick mode (Short). if short_entry_condition_index == 541: # Protections short_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) # 5m & 15m down move, 4h still high short_entry_logic.append( (df["RSI_3"] < 95.0) | (df["RSI_3_change_pct_15m"] < 50.0) | (df["RSI_14_4h"] > 50.0) ) # 5m & 15m & 1h down move short_entry_logic.append((df["RSI_3"] < 95.0) | (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0)) # 5m strong down move short_entry_logic.append((df["RSI_3"] < 98.0) | (df["ROC_9"] < 50.0)) # 15m & 1h strong down move & downtrend short_entry_logic.append((df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["MFI_14_1h"] > 5.0)) # 15m strong down move, 4h high short_entry_logic.append((df["RSI_3_15m"] < 95.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 10.0)) # 15m & 1h down move short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["CCI_20_change_pct_1h"] > 0.0) ) # 15m & 1h down move, 4h high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 15m & 1h down move, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_change_pct_1h"] < 50.0) | (df["MFI_14_4h"] > 50.0) ) # 15m strong down move, 1h still high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["MFI_14_15m"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) ) # 15m & 1h down move, 1h not low enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 80.0) ) # 15m down move, 1h strong down move short_entry_logic.append((df["RSI_3_15m"] < 95.0) | (df["RSI_14_change_pct_1h"] < 70.0)) # 15m down move, 4h & 1d downtrend short_entry_logic.append((df["RSI_3_15m"] < 95.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 50.0)) # 15m down move, 1h strong down move, 4h stil high short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_1h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m down move, 1h & 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m down move, 1h downtrend, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["ROC_9_1h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m & 1h down move, 4h high short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_1h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 15m down move, 1h down move, 4h high short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["RSI_3_change_pct_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 10.0) ) # 1m down move, 1h still dropping, 4h overbought short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["CCI_20_change_pct_1h"] < 0.0) | (df["RSI_14_4h"] > 20.0) ) # 15m down move, 1h high short_entry_logic.append((df["RSI_3_change_pct_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 10.0)) # 1h strong down move, 4h high short_entry_logic.append((df["RSI_3_1h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 10.0)) # 1h down move, 4h downtrend, 4h not low enough short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["CMF_20_4h"] > -0.25) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) ) # 1h down move, 4h high, 1d overbought short_entry_logic.append((df["RSI_3_1h"] < 90.0) | (df["RSI_14_4h"] > 40.0) | (df["ROC_9_1d"] > -50.0)) # 1h down move, 4h strong down move short_entry_logic.append((df["RSI_3_1h"] < 95.0) | (df["RSI_14_change_pct_4h"] < 40.0)) # 1h & 4h down move, 4h still going down short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 95.0) | (df["CCI_20_change_pct_4h"] < 0.0) ) # 1h & 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["RSI_3_change_pct_4h"] < 65.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) ) # 1h down move, 4h down move, 4h P&D short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_change_pct_4h"] < 70.0) | (df["RSI_14_4h"].shift(48) > 30.0) ) # 1h & 4h down move, 4h still not low enough, 1d still high short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_change_pct_4h"] < 50.0) | (df["AROOND_14_4h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 60.0) ) # 1h down move, 1h still high, 1d going down short_entry_logic.append( (df["RSI_3_1h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) | (df["ROC_2_1d"] > -50.0) ) # 4h downtrend, 4h still high, 1d strong downtrend short_entry_logic.append( (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) | (df["ROC_9_1d"] < 60.0) ) # 15m down move, 1h strong down move, 1d overbought short_entry_logic.append( (df["MFI_14_15m"] < 80.0) | (df["RSI_3_change_pct_1h"] < 80.0) | (df["ROC_9_1d"] > -50.0) ) # 1h not low enough, 4h high, 1d strong downtrend short_entry_logic.append( (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 10.0) | (df["ROC_9_1d"] < 60.0) ) # 1h down move, 4h still high, 1d downtrend short_entry_logic.append( (df["RSI_3_change_pct_1h"] < 65.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) | (df["ROC_9_1d"] < 50.0) ) # 15m strong down move, 1h still high short_entry_logic.append((df["ROC_9_15m"] < 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0)) # 15m downtrend, 4h down move, 4h stil high short_entry_logic.append( (df["ROC_9_15m"] < 15.0) | (df["RSI_3_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 1h downtrend, 4h overbought short_entry_logic.append((df["ROC_2_1h"] < 5.0) | (df["RSI_14_4h"] > 20.0) | (df["ROC_9_4h"] > -25.0)) # 1h P&D, 4h still high short_entry_logic.append( (df["ROC_2_1h"] < 10.0) | (df["ROC_9_1h"] > -5.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 1h downtrend, 4h down move, 1d downtrend short_entry_logic.append((df["ROC_9_1h"] < 40.0) | (df["RSI_3_4h"] < 90.0) | (df["ROC_9_1d"] < 50.0)) short_entry_logic.append((df["ROC_9_4h"] > -200.0) | (df["RSI_14_4h"] > 20.0)) # 4h down move, 1d P&D short_entry_logic.append((df["ROC_9_4h"] < 20.0) | (df["ROC_2_1d"] < 20.0) | (df["ROC_9_1d"] > -50.0)) # 1h P&D, 4h overbought short_entry_logic.append( (df["change_pct_1h"] < 2.0) | (df["change_pct_1h"].shift(12) > 2.0) | (df["RSI_14_4h"] > 20.0) ) # 1h P&D, 1d overbought short_entry_logic.append( (df["change_pct_1h"] < 5.0) | (df["change_pct_1h"].shift(12) > -5.0) | (df["ROC_9_1d"] > -100.0) ) # 1h & 4h red, 1h not low enough short_entry_logic.append( (df["change_pct_1h"] < 10.0) | (df["change_pct_4h"] < 10.0) | (df["MFI_14_1h"] > 50.0) ) # 1h red, 1h still not low enough, 1d down move short_entry_logic.append((df["change_pct_1h"] < 15.0) | (df["MFI_14_1h"] > 50.0) | (df["RSI_3_1d"] < 90.0)) # 4h red, previous 4h green, 4h overbought short_entry_logic.append( (df["change_pct_4h"] < 5.0) | (df["change_pct_4h"].shift(48) > -5.0) | (df["RSI_14_4h"].shift(48) > 20.0) ) # 1d P&D, 1d overbought short_entry_logic.append( (df["change_pct_1d"] < 10.0) | (df["change_pct_1d"].shift(288) > -10.0) | (df["ROC_9_1d"] > -100.0) ) # 1d P&D, 4h still high short_entry_logic.append( (df["change_pct_1d"] < 15.0) | (df["change_pct_1d"].shift(288) > -15.0) | (df["AROOND_14_4h"] < 50.0) ) # Logic short_entry_logic.append(df["RSI_14"] > 64.0) short_entry_logic.append(df["AROOND_14"] < 25.0) short_entry_logic.append(df["AROONU_14"] > 75.0) short_entry_logic.append(df["EMA_9"] > (df["EMA_26"] * 1.040)) # Condition #542 - Quick mode (Short). if short_entry_condition_index == 542: # Protections short_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) short_entry_logic.append(df["global_protections_short_pump"] == True) short_entry_logic.append(df["global_protections_short_dump"] == True) short_entry_logic.append(df["RSI_3_1h"] >= 5.0) short_entry_logic.append(df["RSI_3_4h"] >= 20.0) short_entry_logic.append(df["RSI_3_1d"] >= 20.0) short_entry_logic.append(df["RSI_14_1h"] > 20.0) short_entry_logic.append(df["RSI_14_4h"] > 20.0) short_entry_logic.append(df["RSI_14_1d"] > 10.0) # 15m high, 4h still high, 1h downtrend short_entry_logic.append( (df["STOCHRSIk_14_14_3_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) | (df["ROC_9_1h"] < 15.0) ) # 15m high, 4h strong down move, 1d strong downtrend short_entry_logic.append( (df["STOCHRSIk_14_14_3_3_15m"] > 30.0) | (df["RSI_3_4h"] < 90.0) | (df["ROC_9_1d"] < 50.0) ) # 15m high, 4h down move, 1d still high short_entry_logic.append( (df["STOCHRSIk_14_14_3_3_15m"] > 30.0) | (df["RSI_3_4h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) # 15m high, 1h low, 4h down move, 4h still not low enough short_entry_logic.append( (df["STOCHRSIk_14_14_3_3_15m"] > 30.0) | (df["CMF_20_1h"] < 0.20) | (df["RSI_3_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 85.0) ) # 4m & 1h & 4h down move short_entry_logic.append((df["RSI_3"] < 95.0) | (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 90.0)) # 15m & 1h & 4h down move short_entry_logic.append((df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 90.0)) # 15m & 1h strong down move & downtrend short_entry_logic.append((df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["MFI_14_1h"] < 95.0)) # 15m & 1h down move, 1d high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 30.0) ) # 15m & 1h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 80.0) ) # 15m & 1h down move, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 15m down move, 1h down move short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["CCI_20_change_pct_15m"] < 0.0) | (df["RSI_3_1h"] < 90.0) | (df["CCI_20_change_pct_1h"] < 0.0) ) # 15m & 1h & 1d down move short_entry_logic.append((df["RSI_3_15m"] < 90.0) | (df["RSI_3_1h"] < 90.0) | (df["RSI_3_1d"] < 70.0)) # 15m & 1h down move, 4h red, 4h high short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_1h"] < 90.0) | (df["change_pct_4h"] < 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) ) # 15m & 1h down move, 4h downtrend short_entry_logic.append((df["RSI_3_15m"] < 90.0) | (df["RSI_3_1h"] < 85.0) | (df["ROC_9_4h"] < 25.0)) # 15m & 1h down move, 4h high short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 15m & 1h down move, 1d overbought short_entry_logic.append((df["RSI_3_15m"] < 90.0) | (df["RSI_3_1h"] < 90.0) | (df["ROC_9_1d"] > -100.0)) # 15m & 4h down move, 4h still high short_entry_logic.append((df["RSI_3_15m"] < 90.0) | (df["RSI_3_4h"] < 80.0) | (df["AROOND_14_4h"] < 50.0)) # 15m down move, 4h still not low enough, 1d overbought short_entry_logic.append((df["RSI_3_15m"] < 85.0) | (df["AROOND_14_4h"] < 25.0) | (df["ROC_9_1d"] > -100.0)) # 15m & 4h down move, 15m still high short_entry_logic.append( (df["RSI_3_15m"] < 75.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 50.0) ) # 15m & 4h down move, 1d downtrend short_entry_logic.append((df["RSI_3_15m"] < 85.0) | (df["RSI_3_4h"] < 85.0) | (df["ROC_9_1d"] < 50.0)) # 15m & 1h down move, 4h high, 1d still high short_entry_logic.append( (df["RSI_3_15m"] < 80.0) | (df["RSI_3_1h"] < 90.0) | (df["AROOND_14_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) # 15m & 1h & 4h down move, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 80.0) | (df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) ) # 15m & 1h down move, 4h high short_entry_logic.append( (df["RSI_3_15m"] < 80.0) | (df["RSI_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 15m & 4h down move, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 80.0) | (df["RSI_3_4h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 75.0) ) # 15m & 1h down move, 4h high short_entry_logic.append((df["RSI_3_15m"] < 75.0) | (df["RSI_3_1h"] < 75.0) | (df["MFI_14_4h"] > 30.0)) # 15m down move, 1h downtrend, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 80.0) | (df["ROC_9_1h"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m & 4h down move, 4h still high short_entry_logic.append((df["RSI_3_15m"] < 75.0) | (df["RSI_3_4h"] < 85.0) | (df["AROOND_14_4h"] < 50.0)) # 15m & 1h down move, 4h high short_entry_logic.append( (df["RSI_3_15m"] < 70.0) | (df["RSI_3_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 20.0) ) # 15m & 1h down move, 4h hig short_entry_logic.append( (df["RSI_3_15m"] < 70.0) | (df["RSI_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 10.0) ) # 15m & 4h down move, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 70.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) ) # 15m down move, 4h still high, 1d downtrend short_entry_logic.append( (df["RSI_3_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) | (df["ROC_9_1d"] < 50.0) ) # 1h & 4h down move, 4h not low enough short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) ) # 1h & 4h down move, 4h still high short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) ) # 1h & 4h down move, 1h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 85.0) ) # 1h & 4h down move, 4h still high short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 1h & 4h down move short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 90.0) | (df["RSI_3_change_pct_4h"] < 75.0) ) # 1h down move, 4h strong down move short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 95.0) | (df["RSI_14_change_pct_4h"] < 50.0) ) # 1h & 4h down move, 1h still going down short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 75.0) | (df["CCI_20_change_pct_1h"] < 0.0) ) # 1h down move, 1h & 4h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["AROOND_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 1h down move, 4h still high, 1d downtrend short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) | (df["ROC_9_1d"] < 50.0) ) # 1h & 4h down move, 15m high short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 60.0) ) # 1h down move, 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 85.0) | (df["RSI_3_4h"] < 80.0) | (df["CCI_20_4h"] > 100.0) | (df["AROOND_14_4h"] < 25.0) ) # 1h & 1d down move, 1d downtrend short_entry_logic.append((df["RSI_3_1h"] < 85.0) | (df["RSI_3_1d"] < 80.0) | (df["ROC_9_1d"] < 40.0)) # 1h & 4h down move, 15m still high short_entry_logic.append( (df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 70.0) ) # 1h & 4h down move, 1d downtrend short_entry_logic.append((df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 80.0) | (df["ROC_9_1d"] < 50.0)) # 1h & 4h down move, 4h high short_entry_logic.append( (df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 40.0) ) # 1h down move, 15m high, 1d overbought short_entry_logic.append( (df["RSI_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 30.0) | (df["ROC_9_1d"] > -40.0) ) # 1h down move, 4h low, 1h not low enough short_entry_logic.append((df["RSI_3_1h"] < 80.0) | (df["MFI_14_4h"] < 95.0) | (df["UO_7_14_28_1h"] > 70.0)) # 1h & 4h down move, 15m still high, 1d high short_entry_logic.append( (df["RSI_3_1h"] < 75.0) | (df["RSI_3_4h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 30.0) ) # 1h & 1d down move, 1h still high, 1d high short_entry_logic.append( (df["RSI_3_1h"] < 75.0) | (df["RSI_3_1d"] < 70.0) | (df["AROOND_14_1h"] < 50.0) | (df["AROOND_14_1d"] < 75.0) ) # 1h down move, 4h high, 1d overbought short_entry_logic.append((df["RSI_3_1h"] < 75.0) | (df["AROOND_14_4h"] < 75.0) | (df["ROC_9_1d"] > -80.0)) # 1h & 4h down move, 1d downtrend short_entry_logic.append((df["RSI_3_1h"] < 70.0) | (df["RSI_3_4h"] < 80.0) | (df["ROC_9_1d"] < 40.0)) # 1h down move, 15m high, 4h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) ) # 4h down move, 15m & 4h still not low enough short_entry_logic.append( (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 80.0) ) # 4h down move, 15m still high, 1d downtrend short_entry_logic.append( (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 60.0) | (df["ROC_9_1d"] < 40.0) ) # 4h down move, 15m high, 1h still high short_entry_logic.append( (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 30.0) | (df["UO_7_14_28_1h"] > 60.0) ) # 4h & 1d down move, 1d downtrend short_entry_logic.append((df["RSI_3_4h"] < 85.0) | (df["RSI_3_1d"] < 75.0) | (df["ROC_9_1d"] < 50.0)) # 4h down move, 4h still not low enough, 4h downtrend short_entry_logic.append( (df["RSI_3_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) | (df["ROC_9_4h"] < 40.0) ) # 4h down move, 4h still high, 1d still high short_entry_logic.append( (df["RSI_3_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) | (df["RSI_3_1d"] > 50.0) ) # 4h down move, 4h still not low enough, 1d overbought short_entry_logic.append((df["RSI_3_4h"] < 75.0) | (df["AROOND_14_4h"] < 25.0) | (df["ROC_9_1d"] > -150.0)) # 4h down move, 15m stil high, 1d overbought short_entry_logic.append( (df["RSI_3_4h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 50.0) | (df["ROC_9_1d"] > -100.0) ) # 1h & 4h strong down move short_entry_logic.append( (df["MFI_14_1h"] < 90.0) | (df["RSI_3_4h"] < 95.0) | (df["RSI_3_change_pct_4h"] < 70.0) ) # 1h downtrend, 4h down move, 1h overbought short_entry_logic.append((df["ROC_9_1h"] < 30.0) | (df["RSI_3_4h"] < 90.0) | (df["ROC_9_1d"] > -40.0)) # 1h downtrend, 4h down move, 1h downtrend short_entry_logic.append((df["ROC_9_1h"] < 30.0) | (df["RSI_3_4h"] < 90.0) | (df["ROC_9_1d"] < 50.0)) # 4h moving down, 1d P&D short_entry_logic.append( (df["ROC_9_4h"] < 30.0) | (df["RSI_3_change_pct_1d"] < 50.0) | (df["ROC_9_1d"] > -50.0) ) # 1d going down and it was pumped, 4h down move short_entry_logic.append( (df["ROC_2_1d"] < 20.0) | (df["ROC_9_1d"].shift(288) > -100.0) | (df["RSI_3_4h"] < 80.0) ) # 1d downtrend, 4h downtrend, 4h still not low enough short_entry_logic.append((df["ROC_9_1d"] < 40.0) | (df["CMF_20_4h"] < 0.25) | (df["AROOND_14_4h"] < 50.0)) # 1d downtrend, 4h downtrend short_entry_logic.append((df["ROC_9_1d"] < 40.0) | (df["CMF_20_4h"] < 0.30) | (df["RSI_3_4h"] < 90.0)) # 1h & 4h red, 1h not low enough short_entry_logic.append( (df["change_pct_1h"] < 10.0) | (df["change_pct_4h"] < 10.0) | (df["MFI_14_1h"] > 50.0) ) # 4h red, previous 4h green, 15m down move short_entry_logic.append( (df["change_pct_4h"] < 5.0) | (df["change_pct_4h"].shift(48) > -5.0) | (df["RSI_3_15m"] < 95.0) ) # 4h red, previous 4h green, 4h still high short_entry_logic.append( (df["change_pct_4h"] < 5.0) | (df["change_pct_4h"].shift(48) > -5.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 4h red, previous 4h red, 1h still high short_entry_logic.append( (df["change_pct_4h"] < 10.0) | (df["change_pct_4h"].shift(48) > -10.0) | (df["AROOND_14_1h"] < 50.0) ) # 4h red, 4h still moving down, 1d overbought short_entry_logic.append( (df["change_pct_4h"] < 10.0) | (df["CCI_20_change_pct_4h"] < 0.0) | (df["ROC_9_1d"] > -50.0) ) # 4h red, 4h & 1d still high short_entry_logic.append( (df["change_pct_4h"] < 15.0) | (df["AROOND_14_4h"] < 50.0) | (df["AROOND_14_1d"] < 50.0) ) # 1d red, 15m high, 1h still not low enough short_entry_logic.append( (df["change_pct_1d"] < 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 90.0) ) # 1d red, 4h down move, 1d still high short_entry_logic.append( (df["change_pct_1d"] < 10.0) | (df["RSI_3_4h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 30.0) ) # 1d P&D, 1d overbought short_entry_logic.append( (df["change_pct_1d"] < 10.0) | (df["change_pct_1d"].shift(288) > -10.0) | (df["RSI_14_1d"].shift(288) > 20.0) ) # 1d P&D, 1d overbought short_entry_logic.append( (df["change_pct_1d"] < 10.0) | (df["change_pct_1d"].shift(288) > -10.0) | (df["ROC_9_1d"] > -50.0) ) # 1d red, 15m & 1h down move short_entry_logic.append((df["change_pct_1d"] < 15.0) | (df["RSI_3_15m"] < 80.0) | (df["RSI_3_1h"] < 80.0)) # # # 1d red, 1h & 4h down move, 4h still not low enough short_entry_logic.append( (df["change_pct_1d"] < 15.0) | (df["RSI_3_1h"] < 75.0) | (df["RSI_3_4h"] < 75.0) | (df["UO_7_14_28_4h"] > 65.0) ) # Logic short_entry_logic.append(df["WILLR_14"] > -50.0) short_entry_logic.append(df["STOCHRSIk_14_14_3_3"] > 80.0) short_entry_logic.append(df["WILLR_84_1h"] > -30.0) short_entry_logic.append(df["STOCHRSIk_14_14_3_3_1h"] > 80.0) short_entry_logic.append(df["BBB_20_2.0_1h"] > 16.0) short_entry_logic.append(df["close_min_48"] <= (df["close"] * 0.90)) # Condition #543 - Rapid mode (Short). if short_entry_condition_index == 543: # Protections short_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) short_entry_logic.append(df["RSI_14_1h"] > 20.0) short_entry_logic.append(df["RSI_14_4h"] > 20.0) short_entry_logic.append(df["RSI_14_1d"] > 10.0) # 5m strong down move short_entry_logic.append((df["RSI_3"] < 98.0) | (df["ROC_9"] < 50.0)) # 15m down move, 1h down move, 1h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_change_pct_1h"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) ) # 15m down move, 1h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_change_pct_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 5m down move, 1h down, 4h high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["CMF_20_1h"] < 0.2) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m down move, 1h still not low enough, 4h high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["AROOND_14_1h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 10.0) ) # 15m down move, 1h still high short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["OBV_change_pct_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0) ) # 5m & 1h strong down move, 1h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) ) # 5m & 1h strong downtrend short_entry_logic.append((df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["MFI_14_1h"] < 90.0)) # 15m & 1h down move, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) | (df["AROOND_14_4h"] < 50.0) ) # 15m & 1h down move, 4h still high, 4h downtrend short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 90.0) | (df["UO_7_14_28_4h"] > 60.0) | (df["ROC_9_4h"] < 20.0) ) # 15m & 1h down move, 1d strong downtrend short_entry_logic.append((df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 90.0) | (df["ROC_9_1d"] < 50.0)) # 15m & 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 55.0) ) # 15m down move, 15m still not low enough, 1h still high short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0) ) # 15m & 1h down move, 1h still high short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["RSI_3_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0) ) # 15m down move, 15m still not low enoug, 1h high short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["AROOND_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 10.0) ) # 15m down move, 1h downtrend, 4h overbought short_entry_logic.append((df["RSI_3_15m"] < 85.0) | (df["ROC_9_1h"] < 5.0) | (df["ROC_9_4h"] > -35.0)) # 1h & 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 75.0) ) # 1h & 4h down move, 4h still high short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["RSI_3_change_pct_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 1h & 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["RSI_3_change_pct_4h"] < 65.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) ) # 1h down move, 1h still not low enough, 4h still not low short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["RSI_14_4h"] > 50.0) ) # 1h down move, 1h not low enough, 1h still high short_entry_logic.append( (df["RSI_3_1h"] < 85.0) | (df["AROOND_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 4h down move, 15m still not low enough, 1h still high short_entry_logic.append( (df["RSI_3_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0) ) # 4h down move, 4h still high, 1d downtrend short_entry_logic.append( (df["RSI_3_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) | (df["ROC_9_1d"] < 50.0) ) # 4h & 1d down move, 1d strong downtrend short_entry_logic.append((df["RSI_3_4h"] < 90.0) | (df["RSI_3_1d"] < 90.0) | (df["ROC_9_1d"] < 60.0)) # 4h overbought, 1h still high, 1d downtrend short_entry_logic.append( (df["ROC_9_4h"] > -50.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["ROC_9_1d"] < 50.0) ) # 4h red, previous 4h green, 4h overbought short_entry_logic.append( (df["change_pct_4h"] < 5.0) | (df["change_pct_4h"].shift(48) > -5.0) | (df["RSI_14_4h"].shift(48) > 20.0) ) # 4h red, 4h moving down, 4h still high, 1d downtrend short_entry_logic.append( (df["change_pct_4h"] < 10.0) | (df["CCI_20_change_pct_4h"] < 0.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) | (df["ROC_9_1d"] < 40.0) ) # Logic short_entry_logic.append(df["RSI_14"] > 60.0) short_entry_logic.append(df["MFI_14"] > 60.0) short_entry_logic.append(df["AROOND_14"] < 25.0) short_entry_logic.append(df["EMA_26"] < df["EMA_12"]) short_entry_logic.append((df["EMA_26"] - df["EMA_12"]) > (df["open"] * 0.024)) short_entry_logic.append((df["EMA_26"].shift() - df["EMA_12"].shift()) > (df["open"] / 100.0)) short_entry_logic.append(df["close"] < (df["EMA_20"] * 0.958)) short_entry_logic.append(df["close"] < (df["BBL_20_2.0"] * 0.992)) # # Condition #620 - Grind mode (Short). # if short_entry_condition_index == 620: # # Protections # short_entry_logic.append(num_open_short_grind_mode < self.grind_mode_max_slots) # short_entry_logic.append(is_pair_short_grind_mode) # short_entry_logic.append(df["RSI_3"] <= 40.0) # short_entry_logic.append(df["RSI_3_15m"] >= 10.0) # short_entry_logic.append(df["RSI_3_1h"] >= 5.0) # short_entry_logic.append(df["RSI_3_4h"] >= 5.0) # short_entry_logic.append(df["RSI_14_1h"] < 85.0) # short_entry_logic.append(df["RSI_14_4h"] < 85.0) # short_entry_logic.append(df["RSI_14_1d"] < 85.0) # short_entry_logic.append(df["close_max_48"] >= (df["close"] * 1.10)) # # Logic # short_entry_logic.append(df["STOCHRSIk_14_14_3_3"] > 80.0) # short_entry_logic.append(df["WILLR_14"] > -20.0) # short_entry_logic.append(df["AROOND_14"] < 25.0) # Condition #641 - Top Coins mode (Short). if short_entry_condition_index == 641: # Protections short_entry_logic.append(is_pair_short_top_coins_mode) short_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) short_entry_logic.append(df["RSI_3_1h"] >= 5.0) short_entry_logic.append(df["RSI_3_4h"] >= 20.0) short_entry_logic.append(df["RSI_3_1d"] >= 20.0) short_entry_logic.append(df["RSI_14_1h"] > 20.0) short_entry_logic.append(df["RSI_14_4h"] > 20.0) short_entry_logic.append(df["RSI_14_1d"] > 10.0) # 5m down move, 1h still not low enough, 4h high short_entry_logic.append( (df["RSI_3"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 5m down move, 1h high, 4h still not low enough short_entry_logic.append( (df["RSI_3"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 90.0) ) # 15m down move, 15m still not low enough, 1h still high short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["AROOND_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) ) # 15m & 1h down move, 1d still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) # 15m & 1h down move, 1h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["RSI_3_1h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) ) # 15m down move, 1h high, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 75.0) ) # 15m & 1h down move, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 80.0) | (df["RSI_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m down move, 1h still not low enough, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) ) # 1h & 4h & 1d down move short_entry_logic.append((df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 90.0) | (df["RSI_3_1d"] < 80.0)) # 1h & 4h down move, 15m not low enough short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 75.0) ) # 1h down move, 1h still not low enough, 4h still high short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 1h & 4h down move, 1h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 85.0) | (df["RSI_3_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 90.0) ) # 1h & 4h down move, 4h still high short_entry_logic.append( (df["RSI_3_1h"] < 85.0) | (df["RSI_3_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 1h & 4h down move, 1h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 75.0) ) # 1h & 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 75.0) ) # 1h down move, 1h & 4h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) ) # 4h down move, 15m still high, 1h still not low enough short_entry_logic.append( (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 75.0) ) # 4h down move, 15m & 4h still not low enough short_entry_logic.append( (df["RSI_3_4h"] < 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 80.0) ) # Logic short_entry_logic.append(df["RSI_20"] > df["RSI_20"].shift(1)) short_entry_logic.append(df["RSI_3"] > 70.0) short_entry_logic.append(df["AROOND_14"] < 25.0) short_entry_logic.append(df["close"] > df["SMA_16"] * 1.044) # Condition #642 - Top Coins mode (Short). if short_entry_condition_index == 642: # Protections short_entry_logic.append(is_pair_short_top_coins_mode) short_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288) # 5m & 1h & 4h down move short_entry_logic.append((df["RSI_3"] < 90.0) | (df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 90.0)) # 5m down move, 15m & 4h still high short_entry_logic.append( (df["RSI_3"] < 90.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) ) # 5m down move, 15m still high, 1h high short_entry_logic.append( (df["RSI_3"] < 85.0) | (df["AROOND_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 20.0) ) # 15m & 1h down move, 1h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 90.0) ) # 15m & 1h down move, 1d still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) # 15m strong down move, 4h high short_entry_logic.append((df["RSI_3_15m"] < 95.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 20.0)) # 15m & 1h down move, 1h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 80.0) ) # 15m down move, 15m stil high, 1h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 80.0) ) # 15m down move, 1h & 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) ) # 15m & 1h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 95.0) | (df["RSI_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m down move, 15m still not low enough, 4h high short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 20.0) ) # 15m down move, 4h still high, 1d high short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 30.0) ) # 15m & 4h down move, 1d still high short_entry_logic.append( (df["RSI_3_15m"] < 85.0) | (df["RSI_3_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) # 15m & 1h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 80.0) | (df["RSI_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) ) # 15m & 1h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 75.0) | (df["RSI_3_1h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) ) # 15m & 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 75.0) | (df["RSI_3_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 80.0) ) # 15m down move, 1h still high, 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) ) # 15m down move, 1h still not low enough, 4h high short_entry_logic.append( (df["RSI_3_15m"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0) ) # 15m down move, 1h high, 4h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 75.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 90.0) ) # 15m down move, 4h high, 1d stil high short_entry_logic.append( (df["RSI_3_15m"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) # 15m & 4h down move, 1h still not low enough short_entry_logic.append( (df["RSI_3_15m"] < 70.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) ) # 15m & 4h down move, 1h still high short_entry_logic.append( (df["RSI_3_15m"] < 70.0) | (df["RSI_3_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) ) # 15m down move, 15m still high 4h still high short_entry_logic.append( (df["RSI_3_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 15m down move, 1h still high, 4h high short_entry_logic.append( (df["RSI_3_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 10.0) ) # 1h & 4h down move, 1h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 95.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 90.0) ) # 1h & 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 95.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 80.0) ) # 1h & 4h down move, 1h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 90.0) ) # 1h & 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 80.0) ) # 1h & 4h down move, 1h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 85.0) ) # 1h & 4h down move, 1d still high short_entry_logic.append( (df["RSI_3_1h"] < 90.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) # 1h & 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 85.0) | (df["RSI_3_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 85.0) ) # 1h down move, 4h still high, 1d high short_entry_logic.append( (df["RSI_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 30.0) ) # 1h & 4h down move, 1h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 75.0) ) # 1h & 4h down move, 15m still high short_entry_logic.append( (df["RSI_3_1h"] < 80.0) | (df["RSI_3_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 50.0) ) # 1h & 4h down move, 4h still not low enough short_entry_logic.append( (df["RSI_3_1h"] < 75.0) | (df["RSI_3_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 75.0) ) # 1h & 4h down move, 1h still high short_entry_logic.append( (df["RSI_3_1h"] < 70.0) | (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 60.0) ) # 1h down move, 1h still not low enough, 4h still high short_entry_logic.append( (df["RSI_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 50.0) ) # 4h down move, 15m still high, 1h still not low enough short_entry_logic.append( (df["RSI_3_4h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 80.0) ) # 4h down move, 15m still high, 4h still not low enough short_entry_logic.append( (df["RSI_3_4h"] < 75.0) | (df["STOCHRSIk_14_14_3_3_15m"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 75.0) ) # 4h down move, 1h still not low enough, 1d still high short_entry_logic.append( (df["RSI_3_4h"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) # 15m & 1h still high, 4h high short_entry_logic.append( (df["STOCHRSIk_14_14_3_3_15m"] > 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 10.0) ) # 15m still high, 1h & 1d high short_entry_logic.append( (df["STOCHRSIk_14_14_3_3_15m"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 30.0) ) # 15m & 4h high short_entry_logic.append((df["STOCHRSIk_14_14_3_3_15m"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 20.0)) # 15m high, 1h & 4h still not low enough short_entry_logic.append( (df["STOCHRSIk_14_14_3_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] > 75.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 75.0) ) # 15m & 4h high short_entry_logic.append((df["STOCHRSIk_14_14_3_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0)) # 1h & 4h still high, 1d high short_entry_logic.append( (df["STOCHRSIk_14_14_3_3_1h"] > 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) # 1h & 4h high short_entry_logic.append((df["STOCHRSIk_14_14_3_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 10.0)) # 1h & 4h high short_entry_logic.append((df["STOCHRSIk_14_14_3_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] > 20.0)) # 4h & 1d high short_entry_logic.append((df["STOCHRSIk_14_14_3_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 20.0)) # 1d red, 1d high short_entry_logic.append((df["change_pct_1d"] < 5.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 20.0)) # 1d P&D, 1d high short_entry_logic.append( (df["change_pct_1d"] < 10.0) | (df["change_pct_1d"].shift(288) > -10.0) | (df["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) # Logic short_entry_logic.append(df["RSI_4"] > 54.0) short_entry_logic.append(df["RSI_20"] > df["RSI_20"].shift(1)) short_entry_logic.append(df["close"] > df["SMA_16"] * 1.042) ############################################################################################### # SHORT ENTRY CONDITIONS ENDS HERE ############################################################################################### short_entry_logic.append(df["volume"] > 0) item_short_entry = reduce(lambda x, y: x & y, short_entry_logic) df.loc[item_short_entry, "enter_tag"] += f"{short_entry_condition_index} " short_entry_conditions.append(item_short_entry) df.loc[:, "enter_short"] = item_short_entry if short_entry_conditions: df.loc[:, "enter_short"] = reduce(lambda x, y: x | y, short_entry_conditions) return df ############################################################################################### # COMMON FUNCTIONS FOR BOTH LONG AND SHORT SIDE ENDS HERE ############################################################################################### # /$$ /$$$$$$ /$$ /$$ /$$$$$$ /$$$$$$ /$$$$$$ /$$$$$$$ /$$$$$$$$ # | $$ /$$__ $$| $$$ | $$ /$$__ $$ /$$__ $$|_ $$_/| $$__ $$| $$_____/ # | $$ | $$ \ $$| $$$$| $$| $$ \__/ | $$ \__/ | $$ | $$ \ $$| $$ # | $$ | $$ | $$| $$ $$ $$| $$ /$$$$ | $$$$$$ | $$ | $$ | $$| $$$$$ # | $$ | $$ | $$| $$ $$$$| $$|_ $$ \____ $$ | $$ | $$ | $$| $$__/ # | $$ | $$ | $$| $$\ $$$| $$ \ $$ /$$ \ $$ | $$ | $$ | $$| $$ # | $$$$$$$$| $$$$$$/| $$ \ $$| $$$$$$/ | $$$$$$/ /$$$$$$| $$$$$$$/| $$$$$$$$ # |________/ \______/ |__/ \__/ \______/ \______/ |______/|_______/ |________/ # Long Side Functions for handling long orders # --------------------------------------------------------------------------------------------- ############################################################################################### # LONG EXIT FUNCTIONS STARTS HERE ############################################################################################### # # /$$ /$$$$$$ /$$ /$$ /$$$$$$ /$$$$$$$$ /$$ /$$ /$$$$$$ /$$$$$$$$ # | $$ /$$__ $$| $$$ | $$ /$$__ $$ | $$_____/| $$ / $$|_ $$_/|__ $$__/ # | $$ | $$ \ $$| $$$$| $$| $$ \__/ | $$ | $$/ $$/ | $$ | $$ # | $$ | $$ | $$| $$ $$ $$| $$ /$$$$ | $$$$$ \ $$$$/ | $$ | $$ # | $$ | $$ | $$| $$ $$$$| $$|_ $$ | $$__/ >$$ $$ | $$ | $$ # | $$ | $$ | $$| $$\ $$$| $$ \ $$ | $$ /$$/\ $$ | $$ | $$ # | $$$$$$$$| $$$$$$/| $$ \ $$| $$$$$$/ | $$$$$$$$| $$ \ $$ /$$$$$$ | $$ # |________/ \______/ |__/ \__/ \______/ |________/|__/ |__/|______/ |__/ # # Long Exit Normal # --------------------------------------------------------------------------------------------- def long_exit_normal( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: sell = False # if the profit is negative skip checking these if profit_init_ratio > 0.0: # Original sell signals sell, signal_name = self.long_exit_signals( self.long_normal_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.long_exit_main( self.long_normal_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.long_exit_williams_r( self.long_normal_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Downtrend/descending based sells if not sell: sell, signal_name = self.long_exit_dec( self.long_normal_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Stoplosses if not sell: sell, signal_name = self.long_exit_stoploss( self.long_normal_mode_name, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.long_normal_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.long_normal_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.005): mark_pair, mark_signal = self.mark_profit_target( self.long_normal_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.long_normal_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.long_normal_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None previous_sell_reason = "" if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] if signal_name in [ f"exit_{self.long_normal_mode_name}_stoploss_doom", f"exit_{self.long_normal_mode_name}_stoploss_u_e", ] and ( previous_sell_reason not in [ f"exit_{self.long_normal_mode_name}_stoploss_doom", f"exit_profit_{self.long_normal_mode_name}_stoploss_u_e", ] ): mark_pair, mark_signal = self.mark_profit_target( self.long_normal_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.long_normal_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.005: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.long_normal_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [ f"exit_profit_{self.long_normal_mode_name}_max", f"exit_{self.long_normal_mode_name}_stoploss_doom", f"exit_{self.long_normal_mode_name}_stoploss_u_e", ]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for long_exit_normal return False, None # Long Exit Pump # --------------------------------------------------------------------------------------------- def long_exit_pump( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: sell = False # if the profit is negative skip checking these if profit_init_ratio > 0.0: # Original sell signals sell, signal_name = self.long_exit_signals( self.long_pump_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.long_exit_main( self.long_pump_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.long_exit_williams_r( self.long_pump_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Downtrend/descending based sells if not sell: sell, signal_name = self.long_exit_dec( self.long_pump_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Stoplosses if not sell: sell, signal_name = self.long_exit_stoploss( self.long_pump_mode_name, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.long_pump_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.long_pump_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.005): mark_pair, mark_signal = self.mark_profit_target( self.long_pump_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.long_pump_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.long_pump_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if signal_name in [ f"exit_{self.long_pump_mode_name}_stoploss_doom", f"exit_{self.long_pump_mode_name}_stoploss_u_e", ]: mark_pair, mark_signal = self.mark_profit_target( self.long_pump_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.long_pump_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.005: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.long_pump_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [ f"exit_profit_{self.long_pump_mode_name}_max", # f"exit_{self.long_pump_mode_name}_stoploss_doom", # f"exit_{self.long_pump_mode_name}_stoploss_u_e", ]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for long_exit_pump return False, None # Long Exit Quick # --------------------------------------------------------------------------------------------- def long_exit_quick( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: sell = False # if the profit is negative skip checking these if profit_init_ratio > 0.0: # Original sell signals sell, signal_name = self.long_exit_signals( self.long_quick_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.long_exit_main( self.long_quick_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.long_exit_williams_r( self.long_quick_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Downtrend/descending based sells if not sell: sell, signal_name = self.long_exit_dec( self.long_quick_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Stoplosses if not sell: sell, signal_name = self.long_exit_stoploss( self.long_quick_mode_name, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Extra sell logic if not sell: if (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_14"] > 78.0): sell, signal_name = True, f"exit_{self.long_quick_mode_name}_q_1" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["MFI_14"] > 84.0): sell, signal_name = True, f"exit_{self.long_quick_mode_name}_q_2" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["WILLR_14"] >= -0.1): sell, signal_name = True, f"exit_{self.long_quick_mode_name}_q_3" elif ( (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_14"] >= 72.0) and (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_15m"] > 90.0) ): sell, signal_name = True, f"exit_{self.long_quick_mode_name}_q_4" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_3_15m"] > 96.0): sell, signal_name = True, f"exit_{self.long_quick_mode_name}_q_5" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_3_15m"] > 85.0): sell, signal_name = True, f"exit_{self.long_quick_mode_name}_q_6" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_15m"] > 80.0): sell, signal_name = True, f"exit_{self.long_quick_mode_name}_q_7" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_3_15m"] > 75.0): sell, signal_name = True, f"exit_{self.long_quick_mode_name}_q_8" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_3_15m"] > 70.0): sell, signal_name = True, f"exit_{self.long_quick_mode_name}_q_9" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_3"] > 99.0): sell, signal_name = True, f"exit_{self.long_quick_mode_name}_q_10" # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.long_quick_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.long_quick_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.001): mark_pair, mark_signal = self.mark_profit_target( self.long_quick_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.long_quick_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.long_quick_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None previous_sell_reason = "" if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] if signal_name in [ f"exit_{self.long_quick_mode_name}_stoploss_doom", f"exit_{self.long_quick_mode_name}_stoploss_u_e", ] and ( previous_sell_reason not in [ f"exit_{self.long_quick_mode_name}_stoploss_doom", f"exit_profit_{self.long_quick_mode_name}_stoploss_u_e", ] ): mark_pair, mark_signal = self.mark_profit_target( self.long_quick_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.long_quick_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.005: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.long_quick_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [ f"exit_profit_{self.long_quick_mode_name}_max", f"exit_{self.long_quick_mode_name}_stoploss_doom", f"exit_{self.long_quick_mode_name}_stoploss_u_e", ]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for long_exit_quick return False, None # Long Exit Rebuy # --------------------------------------------------------------------------------------------- def long_exit_rebuy( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: is_backtest = self.dp.runmode.value in ["backtest", "hyperopt"] sell = False # Original sell signals sell, signal_name = self.long_exit_signals( self.long_rebuy_mode_name, profit_current_stake_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.long_exit_main( self.long_rebuy_mode_name, profit_current_stake_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.long_exit_williams_r( self.long_rebuy_mode_name, profit_current_stake_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Downtrend/descending based sells if not sell: sell, signal_name = self.long_exit_dec( self.long_rebuy_mode_name, profit_current_stake_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Stoplosses if not sell: if ( profit_stake < -( filled_entries[0].cost * (self.stop_threshold_futures_rebuy if self.is_futures_mode else self.stop_threshold_spot_rebuy) # / (trade.leverage if self.is_futures_mode else 1.0) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell, signal_name = True, f"exit_{self.long_rebuy_mode_name}_stoploss_doom" # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.long_rebuy_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.long_rebuy_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.001): mark_pair, mark_signal = self.mark_profit_target( self.long_rebuy_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.long_rebuy_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.long_rebuy_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if signal_name in [ f"exit_{self.long_rebuy_mode_name}_stoploss_doom", f"exit_{self.long_rebuy_mode_name}_stoploss_u_e", ]: mark_pair, mark_signal = self.mark_profit_target( self.long_rebuy_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.long_rebuy_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.005: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.long_rebuy_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [f"exit_profit_{self.long_rebuy_mode_name}_max"]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for long_exit_rebuy return False, None # Long Exit High Profit # --------------------------------------------------------------------------------------------- def long_exit_high_profit( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: sell = False # Original sell signals sell, signal_name = self.long_exit_signals( self.long_high_profit_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.long_exit_main( self.long_high_profit_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.long_exit_williams_r( self.long_high_profit_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Stoplosses if not sell: sell, signal_name = self.long_exit_stoploss( self.long_high_profit_mode_name, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.long_high_profit_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.long_high_profit_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.001): mark_pair, mark_signal = self.mark_profit_target( self.long_high_profit_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.long_high_profit_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.long_high_profit_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if signal_name in [ f"exit_{self.long_high_profit_mode_name}_stoploss_doom", f"exit_{self.long_high_profit_mode_name}_stoploss_u_e", ]: mark_pair, mark_signal = self.mark_profit_target( self.long_high_profit_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.long_high_profit_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.03: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.long_high_profit_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [ f"exit_profit_{self.long_high_profit_mode_name}_max", # f"exit_{self.long_high_profit_mode_name}_stoploss_doom", # f"exit_{self.long_high_profit_mode_name}_stoploss_u_e", ]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for long_exit_high_profit return False, None # Long Exit Rapid # --------------------------------------------------------------------------------------------- def long_exit_rapid( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: is_backtest = self.is_backtest_mode() sell = False signal_name = None # if the profit is negative skip checking these if profit_init_ratio > 0.0: # Original sell signals sell, signal_name = self.long_exit_signals( self.long_rapid_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.long_exit_main( self.long_rapid_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.long_exit_williams_r( self.long_rapid_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Downtrend/descending based sells if not sell: sell, signal_name = self.long_exit_dec( self.long_rapid_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Extra exit logic if not sell: if (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_14"] > 78.0): sell, signal_name = True, f"exit_{self.long_rapid_mode_name}_rpd_1" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["MFI_14"] > 84.0): sell, signal_name = True, f"exit_{self.long_rapid_mode_name}_rpd_2" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["WILLR_14"] >= -0.1): sell, signal_name = True, f"exit_{self.long_rapid_mode_name}_rpd_3" elif ( (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_14"] >= 72.0) and (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_15m"] > 90.0) ): sell, signal_name = True, f"exit_{self.long_rapid_mode_name}_rpd_4" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_3_15m"] > 96.0): sell, signal_name = True, f"exit_{self.long_rapid_mode_name}_rpd_5" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_3_15m"] > 85.0): sell, signal_name = True, f"exit_{self.long_rapid_mode_name}_rpd_6" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_15m"] > 80.0): sell, signal_name = True, f"exit_{self.long_rapid_mode_name}_rpd_7" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_3_15m"] > 75.0): sell, signal_name = True, f"exit_{self.long_rapid_mode_name}_rpd_8" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_3_15m"] > 70.0): sell, signal_name = True, f"exit_{self.long_rapid_mode_name}_rpd_9" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_3"] > 99.0): sell, signal_name = True, f"exit_{self.long_rapid_mode_name}_rpd_10" # Stoplosses if ( ( self.stops_enable and ( profit_stake < -( filled_entries[0].cost * (self.stop_threshold_rapid_futures if self.is_futures_mode else self.stop_threshold_rapid_spot) ) ) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell, signal_name = True, f"exit_{self.long_rapid_mode_name}_stoploss_doom" # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.long_rapid_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.long_rapid_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.001): mark_pair, mark_signal = self.mark_profit_target( self.long_rapid_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.long_rapid_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.long_rapid_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None previous_sell_reason = "" if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] if signal_name in [ f"exit_{self.long_rapid_mode_name}_stoploss_doom", f"exit_{self.long_rapid_mode_name}_stoploss_u_e", ] and ( previous_sell_reason not in [ f"exit_{self.long_rapid_mode_name}_stoploss_doom", f"exit_profit_{self.long_rapid_mode_name}_stoploss_u_e", ] ): mark_pair, mark_signal = self.mark_profit_target( self.long_rapid_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.long_rapid_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.005: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.long_rapid_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [ f"exit_profit_{self.long_rapid_mode_name}_max", f"exit_{self.long_rapid_mode_name}_stoploss_doom", f"exit_{self.long_rapid_mode_name}_stoploss_u_e", ]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for long_exit_rapid return False, None # Long Exit Grind # --------------------------------------------------------------------------------------------- def long_exit_grind( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: if profit_init_ratio > 0.25: return True, f"exit_{self.long_grind_mode_name}_g" # Here ends exit signal conditions for long_exit_grind return False, None # Long Exit Top Coins # --------------------------------------------------------------------------------------------- def long_exit_top_coins( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: sell = False # Original sell signals sell, signal_name = self.long_exit_signals( self.long_top_coins_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.long_exit_main( self.long_top_coins_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.long_exit_williams_r( self.long_top_coins_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Downtrend/descending based sells if not sell: sell, signal_name = self.long_exit_dec( self.long_top_coins_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Stoplosses if not sell: sell, signal_name = self.long_exit_stoploss( self.long_top_coins_mode_name, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.long_top_coins_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.long_top_coins_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.005): mark_pair, mark_signal = self.mark_profit_target( self.long_top_coins_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.long_top_coins_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.long_top_coins_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None previous_sell_reason = "" if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] if signal_name in [ f"exit_{self.long_top_coins_mode_name}_stoploss_doom", f"exit_{self.long_top_coins_mode_name}_stoploss_u_e", ] and ( previous_sell_reason not in [ f"exit_{self.long_top_coins_mode_name}_stoploss_doom", f"exit_profit_{self.long_top_coins_mode_name}_stoploss_u_e", ] ): mark_pair, mark_signal = self.mark_profit_target( self.long_top_coins_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.long_top_coins_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.005: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.long_top_coins_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [ f"exit_profit_{self.long_top_coins_mode_name}_max", f"exit_{self.long_top_coins_mode_name}_stoploss_doom", f"exit_{self.long_top_coins_mode_name}_stoploss_u_e", ]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for long_exit_top_coins return False, None # Long Exit Derisk # --------------------------------------------------------------------------------------------- def long_exit_derisk( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: sell = False # Original sell signals sell, signal_name = self.long_exit_signals( self.long_derisk_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.long_exit_main( self.long_derisk_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.long_exit_williams_r( self.long_derisk_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Downtrend/descending based sells if not sell: sell, signal_name = self.long_exit_dec( self.long_derisk_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Stoplosses if profit_stake < -( filled_entries[0].cost * (self.stop_threshold_derisk_futures if self.is_futures_mode else self.stop_threshold_derisk_spot) # / (trade.leverage if self.is_futures_mode else 1.0) ): sell, signal_name = True, f"exit_{self.long_derisk_mode_name}_stoploss_doom" # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.long_derisk_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.long_derisk_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.005): mark_pair, mark_signal = self.mark_profit_target( self.long_derisk_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.long_derisk_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.long_derisk_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if signal_name in [ f"exit_{self.long_derisk_mode_name}_stoploss_doom", f"exit_{self.long_derisk_mode_name}_stoploss_u_e", ]: mark_pair, mark_signal = self.mark_profit_target( self.long_derisk_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.long_derisk_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.005: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.long_derisk_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [ f"exit_profit_{self.long_derisk_mode_name}_max", # f"exit_{self.long_derisk_mode_name}_stoploss_doom", # f"exit_{self.long_derisk_mode_name}_stoploss_u_e", ]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for long_exit_derisk return False, None # Long Exit Signals # --------------------------------------------------------------------------------------------- def long_exit_signals( self, mode_name: str, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", buy_tag, ) -> tuple: # Sell signal 1 if ( (last_candle["RSI_14"] > 84.0) and (last_candle["close"] > last_candle["BBU_20_2.0"]) and (previous_candle_1["close"] > previous_candle_1["BBU_20_2.0"]) and (previous_candle_2["close"] > previous_candle_2["BBU_20_2.0"]) and (previous_candle_3["close"] > previous_candle_3["BBU_20_2.0"]) and (previous_candle_4["close"] > previous_candle_4["BBU_20_2.0"]) ): if last_candle["close"] > last_candle["EMA_200"]: if current_profit > 0.01: return True, f"exit_{mode_name}_1_1_1" else: if current_profit > 0.01: return True, f"exit_{mode_name}_1_2_1" # Sell signal 2 elif ( (last_candle["RSI_14"] > 86.0) and (last_candle["close"] > last_candle["BBU_20_2.0"]) and (previous_candle_1["close"] > previous_candle_1["BBU_20_2.0"]) and (previous_candle_2["close"] > previous_candle_2["BBU_20_2.0"]) ): if last_candle["close"] > last_candle["EMA_200"]: if current_profit > 0.01: return True, f"exit_{mode_name}_2_1_1" else: if current_profit > 0.01: return True, f"exit_{mode_name}_2_2_1" # Sell signal 3 elif last_candle["RSI_14"] > 88.0: if last_candle["close"] > last_candle["EMA_200"]: if current_profit > 0.01: return True, f"exit_{mode_name}_3_1_1" else: if current_profit > 0.01: return True, f"exit_{mode_name}_3_2_1" # Sell signal 4 elif (last_candle["RSI_14"] > 84.0) and (last_candle["RSI_14_1h"] > 80.0): if last_candle["close"] > last_candle["EMA_200"]: if current_profit > 0.01: return True, f"exit_{mode_name}_4_1_1" else: if current_profit > 0.01: return True, f"exit_{mode_name}_4_2_1" # Sell signal 6 elif ( (last_candle["close"] < last_candle["EMA_200"]) and (last_candle["close"] > last_candle["EMA_50"]) and (last_candle["RSI_14"] > 79.0) ): if current_profit > 0.01: return True, f"exit_{mode_name}_6_1" # # Sell signal 7 # elif (last_candle["RSI_14_1h"] > 79.0) and (last_candle["crossed_below_EMA_12_26"]): # if last_candle["close"] > last_candle["EMA_200"]: # if current_profit > 0.01: # return True, f"exit_{mode_name}_7_1_1" # else: # if current_profit > 0.01: # return True, f"exit_{mode_name}_7_2_1" # Sell signal 8 elif last_candle["close"] > last_candle["BBU_20_2.0_1h"] * 1.14: if last_candle["close"] > last_candle["EMA_200"]: if current_profit > 0.01: return True, f"exit_{mode_name}_8_1_1" else: if current_profit > 0.01: return True, f"exit_{mode_name}_8_2_1" # Here ends exit signal conditions for long_exit_signals return False, None # Long Exit Main # --------------------------------------------------------------------------------------------- def long_exit_main( self, mode_name: str, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", buy_tag, ) -> tuple: if last_candle["close"] > last_candle["EMA_200"]: if 0.01 > current_profit >= 0.001: if last_candle["RSI_14"] < 10.0: return True, f"exit_{mode_name}_o_0" elif 0.02 > current_profit >= 0.01: if last_candle["RSI_14"] < 28.0: return True, f"exit_{mode_name}_o_1" elif 0.03 > current_profit >= 0.02: if last_candle["RSI_14"] < 30.0: return True, f"exit_{mode_name}_o_2" elif 0.04 > current_profit >= 0.03: if last_candle["RSI_14"] < 32.0: return True, f"exit_{mode_name}_o_3" elif 0.05 > current_profit >= 0.04: if last_candle["RSI_14"] < 34.0: return True, f"exit_{mode_name}_o_4" elif 0.06 > current_profit >= 0.05: if last_candle["RSI_14"] < 36.0: return True, f"exit_{mode_name}_o_5" elif 0.07 > current_profit >= 0.06: if last_candle["RSI_14"] < 38.0: return True, f"exit_{mode_name}_o_6" elif 0.08 > current_profit >= 0.07: if last_candle["RSI_14"] < 40.0: return True, f"exit_{mode_name}_o_7" elif 0.09 > current_profit >= 0.08: if last_candle["RSI_14"] < 42.0: return True, f"exit_{mode_name}_o_8" elif 0.1 > current_profit >= 0.09: if last_candle["RSI_14"] < 44.0: return True, f"exit_{mode_name}_o_9" elif 0.12 > current_profit >= 0.1: if last_candle["RSI_14"] < 46.0: return True, f"exit_{mode_name}_o_10" elif 0.2 > current_profit >= 0.12: if last_candle["RSI_14"] < 44.0: return True, f"exit_{mode_name}_o_11" elif current_profit >= 0.2: if last_candle["RSI_14"] < 42.0: return True, f"exit_{mode_name}_o_12" elif last_candle["close"] < last_candle["EMA_200"]: if 0.01 > current_profit >= 0.001: if last_candle["RSI_14"] < 12.0: return True, f"exit_{mode_name}_u_0" elif 0.02 > current_profit >= 0.01: if last_candle["RSI_14"] < 30.0: return True, f"exit_{mode_name}_u_1" elif 0.03 > current_profit >= 0.02: if last_candle["RSI_14"] < 32.0: return True, f"exit_{mode_name}_u_2" elif 0.04 > current_profit >= 0.03: if last_candle["RSI_14"] < 34.0: return True, f"exit_{mode_name}_u_3" elif 0.05 > current_profit >= 0.04: if last_candle["RSI_14"] < 36.0: return True, f"exit_{mode_name}_u_4" elif 0.06 > current_profit >= 0.05: if last_candle["RSI_14"] < 38.0: return True, f"exit_{mode_name}_u_5" elif 0.07 > current_profit >= 0.06: if last_candle["RSI_14"] < 40.0: return True, f"exit_{mode_name}_u_6" elif 0.08 > current_profit >= 0.07: if last_candle["RSI_14"] < 42.0: return True, f"exit_{mode_name}_u_7" elif 0.09 > current_profit >= 0.08: if last_candle["RSI_14"] < 44.0: return True, f"exit_{mode_name}_u_8" elif 0.1 > current_profit >= 0.09: if last_candle["RSI_14"] < 46.0: return True, f"exit_{mode_name}_u_9" elif 0.12 > current_profit >= 0.1: if last_candle["RSI_14"] < 48.0: return True, f"exit_{mode_name}_u_10" elif 0.2 > current_profit >= 0.12: if last_candle["RSI_14"] < 46.0: return True, f"exit_{mode_name}_u_11" elif current_profit >= 0.2: if last_candle["RSI_14"] < 44.0: return True, f"exit_{mode_name}_u_12" # Here ends exit signal conditions for long_exit_main return False, None # Long Exit Williams R # --------------------------------------------------------------------------------------------- def long_exit_williams_r( self, mode_name: str, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", buy_tag, ) -> tuple: if 0.01 > current_profit >= 0.001: if (last_candle["WILLR_480"] > -0.1) and (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 75.0): return True, f"exit_{mode_name}_w_0_1" elif (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 84.0): return True, f"exit_{mode_name}_w_0_2" elif (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] < 40.0): return True, f"exit_{mode_name}_w_0_3" elif ( (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 80.0) and (last_candle["ROC_9_1h"] < -0.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_w_0_4" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -4.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_0_5" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -1.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_w_0_6" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_14_4h"] > 60.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_{mode_name}_w_0_7" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_w_0_8" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_w_0_9" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] < -0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_w_0_10" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) ): return True, f"exit_{mode_name}_w_0_11" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_w_0_12" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_w_0_13" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_w_0_14" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_480"] > -25.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 100.0)) ): return True, f"exit_{mode_name}_w_0_15" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_w_0_16" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_0_17" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["top_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_0_18" elif 0.02 > current_profit >= 0.01: if last_candle["WILLR_480"] > -0.2: return True, f"exit_{mode_name}_w_1_1" elif (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 78.0): return True, f"exit_{mode_name}_w_1_2" elif (last_candle["WILLR_14"] >= -2.0) and (last_candle["RSI_14"] < 46.0): return True, f"exit_{mode_name}_w_1_3" elif ( (last_candle["WILLR_14"] >= -2.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["ROC_9_1h"] < -0.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_w_1_4" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -6.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_1_5" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -2.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_w_1_6" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_14_4h"] > 60.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_{mode_name}_w_1_7" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_w_1_8" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_w_1_9" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] < -0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_w_1_10" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) ): return True, f"exit_{mode_name}_w_1_11" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_w_1_12" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_w_1_13" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_w_1_14" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["WILLR_480"] > -25.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 100.0)) ): return True, f"exit_{mode_name}_w_1_15" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_w_1_16" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_1_17" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["top_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_d_1_18" elif 0.03 > current_profit >= 0.02: if last_candle["WILLR_480"] > -0.3: return True, f"exit_{mode_name}_w_2_1" elif (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 77.0): return True, f"exit_{mode_name}_w_2_2" elif (last_candle["WILLR_14"] >= -2.0) and (last_candle["RSI_14"] < 48.0): return True, f"exit_{mode_name}_w_2_3" elif ( (last_candle["WILLR_14"] >= -5.0) and (last_candle["RSI_14"] > 75.0) and (last_candle["ROC_9_1h"] < -0.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_w_2_4" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -8.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_2_5" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -4.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_w_2_6" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_14_4h"] > 60.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_{mode_name}_w_2_7" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_w_2_8" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_w_2_9" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] < -0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_w_2_10" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) ): return True, f"exit_{mode_name}_w_2_11" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_w_2_12" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_w_2_13" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_w_2_14" elif ( (last_candle["RSI_3"] > 48.0) and (last_candle["WILLR_480"] > -25.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 100.0)) ): return True, f"exit_{mode_name}_w_2_15" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_w_2_16" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_2_17" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["top_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_2_18" elif 0.04 > current_profit >= 0.03: if last_candle["WILLR_480"] > -0.4: return True, f"exit_{mode_name}_w_3_1" elif (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 76.0): return True, f"exit_{mode_name}_w_3_2" elif (last_candle["WILLR_14"] >= -2.0) and (last_candle["RSI_14"] < 50.0): return True, f"exit_{mode_name}_w_3_3" elif ( (last_candle["WILLR_14"] >= -5.0) and (last_candle["RSI_14"] > 75.0) and (last_candle["ROC_9_1h"] < -0.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_w_3_4" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_3_5" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -6.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_w_3_6" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_14_4h"] > 60.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_{mode_name}_w_3_7" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_w_3_8" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_w_3_9" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -22.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] < -0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_w_3_10" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) ): return True, f"exit_{mode_name}_w_3_11" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_w_3_12" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_w_3_13" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_w_3_14" elif ( (last_candle["RSI_3"] > 46.0) and (last_candle["WILLR_480"] > -25.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 100.0)) ): return True, f"exit_{mode_name}_w_3_15" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_w_3_16" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_3_17" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["top_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_3_18" elif 0.05 > current_profit >= 0.04: if last_candle["WILLR_480"] > -0.5: return True, f"exit_{mode_name}_w_4_1" elif (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 75.0): return True, f"exit_{mode_name}_w_4_2" elif (last_candle["WILLR_14"] >= -2.0) and (last_candle["RSI_14"] < 52.0): return True, f"exit_{mode_name}_w_4_3" elif ( (last_candle["WILLR_14"] >= -5.0) and (last_candle["RSI_14"] > 75.0) and (last_candle["ROC_9_1h"] < -0.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_w_4_4" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -12.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_4_5" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -8.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_w_4_6" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_14_4h"] > 60.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_{mode_name}_w_4_7" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_w_4_8" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_w_4_9" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -24.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] < -0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_w_4_10" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) ): return True, f"exit_{mode_name}_w_4_11" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_w_4_12" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_w_4_13" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_w_4_14" elif ( (last_candle["RSI_3"] > 44.0) and (last_candle["WILLR_480"] > -25.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 100.0)) ): return True, f"exit_{mode_name}_w_4_15" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_w_4_16" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_4_17" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["top_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_4_18" elif 0.06 > current_profit >= 0.05: if last_candle["WILLR_480"] > -0.6: return True, f"exit_{mode_name}_w_5_1" elif (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 74.0): return True, f"exit_{mode_name}_w_5_2" elif (last_candle["WILLR_14"] >= -2.0) and (last_candle["RSI_14"] < 54.0): return True, f"exit_{mode_name}_w_5_3" elif ( (last_candle["WILLR_14"] >= -10.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["ROC_9_1h"] < -0.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_w_5_4" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -14.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_5_5" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_w_5_6" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_14_4h"] > 60.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_{mode_name}_w_5_7" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_w_5_8" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_w_5_9" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -26.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] < -0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_w_5_10" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) ): return True, f"exit_{mode_name}_w_5_11" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_w_5_12" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_w_5_13" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_1h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_w_5_14" elif ( (last_candle["RSI_3"] > 42.0) and (last_candle["WILLR_480"] > -25.0) and (last_candle["RSI_14"] < 58.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 100.0)) ): return True, f"exit_{mode_name}_w_5_15" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_w_5_16" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_5_17" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["top_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_5_18" elif 0.07 > current_profit >= 0.06: if last_candle["WILLR_480"] > -0.7: return True, f"exit_{mode_name}_w_6_1" elif (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 75.0): return True, f"exit_{mode_name}_w_6_2" elif (last_candle["WILLR_14"] >= -2.0) and (last_candle["RSI_14"] < 52.0): return True, f"exit_{mode_name}_w_6_3" elif ( (last_candle["WILLR_14"] >= -15.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["ROC_9_1h"] < -0.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_w_6_4" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -12.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_6_5" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -8.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_w_6_6" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_14_4h"] > 60.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_{mode_name}_w_6_7" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_w_6_8" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_w_6_9" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -24.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] < -0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_w_6_10" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) ): return True, f"exit_{mode_name}_w_6_11" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_w_6_12" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_w_6_13" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_w_6_14" elif ( (last_candle["RSI_3"] > 44.0) and (last_candle["WILLR_480"] > -25.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 100.0)) ): return True, f"exit_{mode_name}_w_6_15" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_w_6_16" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_6_17" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["top_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_6_18" elif 0.08 > current_profit >= 0.07: if last_candle["WILLR_480"] > -0.8: return True, f"exit_{mode_name}_w_7_1" elif (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 76.0): return True, f"exit_{mode_name}_w_7_2" elif (last_candle["WILLR_14"] >= -2.0) and (last_candle["RSI_14"] < 50.0): return True, f"exit_{mode_name}_w_7_3" elif ( (last_candle["WILLR_14"] >= -15.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["ROC_9_1h"] < -0.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_w_7_4" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_7_5" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -6.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_w_7_6" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_14_4h"] > 60.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_{mode_name}_w_7_7" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_w_7_8" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_w_7_9" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -22.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] < -0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_w_7_10" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) ): return True, f"exit_{mode_name}_w_7_11" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_w_7_12" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_w_7_13" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_w_7_14" elif ( (last_candle["RSI_3"] > 46.0) and (last_candle["WILLR_480"] > -25.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 100.0)) ): return True, f"exit_{mode_name}_w_7_15" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_w_7_16" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_7_17" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["top_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_7_18" elif 0.09 > current_profit >= 0.08: if last_candle["WILLR_480"] > -0.9: return True, f"exit_{mode_name}_w_8_1" elif (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 77.0): return True, f"exit_{mode_name}_w_8_2" elif (last_candle["WILLR_14"] >= -2.0) and (last_candle["RSI_14"] < 48.0): return True, f"exit_{mode_name}_w_8_3" elif ( (last_candle["WILLR_14"] >= -15.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["ROC_9_1h"] < -0.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_w_8_4" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -8.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_8_5" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -4.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_w_8_6" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_14_4h"] > 60.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_{mode_name}_w_8_7" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_w_8_8" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_w_8_9" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] < -0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_w_8_10" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) ): return True, f"exit_{mode_name}_w_8_11" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_w_8_12" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_w_8_13" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_w_8_14" elif ( (last_candle["RSI_3"] > 48.0) and (last_candle["WILLR_480"] > -25.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 100.0)) ): return True, f"exit_{mode_name}_w_8_15" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_w_8_16" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_8_17" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["top_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_8_18" elif 0.1 > current_profit >= 0.09: if last_candle["WILLR_480"] > -1.0: return True, f"exit_{mode_name}_w_9_1" elif (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 78.0): return True, f"exit_{mode_name}_w_9_2" elif (last_candle["WILLR_14"] >= -2.0) and (last_candle["RSI_14"] < 46.0): return True, f"exit_{mode_name}_w_9_3" elif ( (last_candle["WILLR_14"] >= -15.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["ROC_9_1h"] < -0.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_w_9_4" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -6.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_9_5" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -2.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_w_9_6" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_14_4h"] > 60.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_{mode_name}_w_9_7" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_w_9_8" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_w_9_9" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] < -0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_w_9_10" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) ): return True, f"exit_{mode_name}_w_9_11" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_w_9_12" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_w_9_13" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_w_9_14" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["WILLR_480"] > -25.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 100.0)) ): return True, f"exit_{mode_name}_w_9_15" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_w_9_16" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_9_17" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["top_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_9_18" elif 0.12 > current_profit >= 0.1: if last_candle["WILLR_480"] > -1.1: return True, f"exit_{mode_name}_w_10_1" elif (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 79.0): return True, f"exit_{mode_name}_w_10_2" elif (last_candle["WILLR_14"] >= -2.0) and (last_candle["RSI_14"] < 44.0): return True, f"exit_{mode_name}_w_10_3" elif ( (last_candle["WILLR_14"] >= -15.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["ROC_9_1h"] < -0.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_w_10_4" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -4.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_10_5" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -1.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_w_10_6" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_14_4h"] > 60.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_{mode_name}_w_10_7" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_w_10_8" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_w_10_9" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] < -0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_w_10_10" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) ): return True, f"exit_{mode_name}_w_10_11" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_w_10_12" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_w_10_13" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_w_10_14" elif ( (last_candle["RSI_3"] > 52.0) and (last_candle["WILLR_480"] > -25.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 100.0)) ): return True, f"exit_{mode_name}_w_10_15" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_w_10_16" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_10_17" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["top_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_10_18" elif 0.2 > current_profit >= 0.12: if last_candle["WILLR_480"] > -0.4: return True, f"exit_{mode_name}_w_11_1" elif (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 80.0): return True, f"exit_{mode_name}_w_11_2" elif (last_candle["WILLR_14"] >= -2.0) and (last_candle["RSI_14"] < 42.0): return True, f"exit_{mode_name}_w_11_3" elif ( (last_candle["WILLR_14"] >= -15.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["ROC_9_1h"] < -0.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_w_11_4" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -2.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_11_5" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_w_11_6" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14_4h"] > 60.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_{mode_name}_w_11_7" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_w_11_8" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_w_11_9" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] < -0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_w_11_10" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) ): return True, f"exit_{mode_name}_w_11_11" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_w_11_12" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_w_11_13" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_w_11_14" elif ( (last_candle["RSI_3"] > 54.0) and (last_candle["WILLR_480"] > -25.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 100.0)) ): return True, f"exit_{mode_name}_w_11_15" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_w_11_16" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_11_17" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["top_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_11_18" elif current_profit >= 0.2: if last_candle["WILLR_480"] > -0.2: return True, f"exit_{mode_name}_w_12_1" elif (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 81.0): return True, f"exit_{mode_name}_w_12_2" elif (last_candle["WILLR_14"] >= -2.0) and (last_candle["RSI_14"] < 40.0): return True, f"exit_{mode_name}_w_12_3" elif ( (last_candle["WILLR_14"] >= -1.0) and (last_candle["RSI_14"] > 80.0) and (last_candle["ROC_9_1h"] < -0.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_w_12_4" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_12_5" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_w_12_6" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14_4h"] > 60.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) ): return True, f"exit_{mode_name}_w_12_7" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_w_12_8" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_w_12_9" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] < -0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_w_12_10" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) ): return True, f"exit_{mode_name}_w_12_11" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_w_12_12" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_w_12_13" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_w_12_14" elif ( (last_candle["RSI_3"] > 56.0) and (last_candle["WILLR_480"] > -25.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 100.0)) ): return True, f"exit_{mode_name}_w_12_15" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_w_12_16" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["AROONU_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_w_12_17" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["top_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_12_18" # Here ends exit signal conditions for long_exit_williams_r return False, None # Long Exit Dec # --------------------------------------------------------------------------------------------- def long_exit_dec( self, mode_name: str, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", buy_tag, ) -> tuple: if 0.01 > current_profit >= 0.001: if ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] < last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] < last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_0_1" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["CMF_20_1h"] < -0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_0_2" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 99.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] < -10.0) ) ): return True, f"exit_{mode_name}_d_0_3" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_0_4" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_0_5" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_0_6" elif ( (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_0_7" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 99.0) and (last_candle["CMF_20_1h"] < -0.1) and (last_candle["CMF_20_4h"] < -0.1) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_0_8" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3"] > 99.0) and (last_candle["change_pct_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_0_9" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] < -10.0) and (last_candle["ROC_9_4h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_0_10" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 45.0) and (last_candle["ROC_9_15m"] < -10.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_0_11" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_1h"] < -20.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_0_12" elif (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["ROC_9_4h"] < -25.0): return True, f"exit_{mode_name}_d_0_13" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_0_14" elif (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["ROC_9_4h"] < -30.0): return True, f"exit_{mode_name}_d_0_15" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["AROONU_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["AROONU_14_1d"] > 50.0) and (last_candle["change_pct_1d"] < -15.0) ): return True, f"exit_{mode_name}_d_0_16" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_0_17" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] > 75.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["ROC_2_1d"] < -50.0) ): return True, f"exit_{mode_name}_d_0_18" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["RSI_3_4h"] < 10.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_0_19" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_0_20" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_0_21" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["change_pct_4h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_0_22" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_1d"] < 5.0) ): return True, f"exit_{mode_name}_d_0_23" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_0_24" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_0_25" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_0_26" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_0_27" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 10.0) and (last_candle["ROC_9_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_28" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_0_29" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) ): return True, f"exit_{mode_name}_d_0_30" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_0_31" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_0_32" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["ROC_2_1h"] < -10.0) and (last_candle["ROC_9_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_33" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_14_1h"] > 80.0) and (last_candle["ROC_9_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_0_34" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 75.0) ): return True, f"exit_{mode_name}_d_0_35" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_36" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_37" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_0_38" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["CMF_20_4h"] < -0.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_0_39" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_0_40" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_0_41" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_0_42" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_0_43" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_0_44" elif (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 10.0): return True, f"exit_{mode_name}_d_0_45" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_2_1d"] < -20.0) ): return True, f"exit_{mode_name}_d_0_46" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) ): return True, f"exit_{mode_name}_d_0_47" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_48" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["change_pct_1d"] < -5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_0_49" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1d"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 90.0) ): return True, f"exit_{mode_name}_d_0_50" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_51" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_0_52" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_0_53" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["change_pct_1d"] < -10.0) ): return True, f"exit_{mode_name}_d_0_54" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["ROC_9_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_55" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) ): return True, f"exit_{mode_name}_d_0_56" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 34.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_d_0_57" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_58" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_0_59" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["RSI_14_4h"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_0_60" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_0_61" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) and (last_candle["change_pct_1d"] < -5.0) ): return True, f"exit_{mode_name}_d_0_62" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_0_63" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_0_64" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 15.0) ): return True, f"exit_{mode_name}_d_0_65" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_66" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_0_67" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_0_68" elif ( (last_candle["RSI_3"] > 97.0) and (last_candle["ROC_9_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_0_69" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_0_70" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_0_71" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_0_72" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_0_73" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_74" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_0_75" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["ROC_9_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_0_76" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_0_77" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["RSI_3_1d"] < 20.0) ): return True, f"exit_{mode_name}_d_0_78" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_0_79" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_0_80" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_0_81" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_0_82" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_0_83" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_0_84" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_85" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_14_4h"] > 80.0) and (last_candle["ROC_2_1h"] < -5.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_86" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_87" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_1h"] < -2.0) ): return True, f"exit_{mode_name}_d_0_88" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["ROC_9_1h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_0_89" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_0_90" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_0_91" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_0_92" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_15m"] < 50.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_0_93" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 45.0) and (last_candle["AROONU_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_0_94" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) and (isinstance(last_candle["AROONU_14_1d"], np.float64) and (last_candle["AROONU_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_0_95" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_1d"] < 45.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_96" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_0_97" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_3_15m"] > 74.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["RSI_3_1d"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_98" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 65.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_d_0_99" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_0_100" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 40.0)) ): return True, f"exit_{mode_name}_d_0_101" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_0_102" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_14_4h"] > 70.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 80.0)) ): return True, f"exit_{mode_name}_d_0_103" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_0_104" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_15m"] < 55.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_0_105" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_0_106" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["RSI_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_107" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_d_0_108" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_0_109" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_3_4h"] < 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_0_110" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["AROONU_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_0_111" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["RSI_3_4h"] < 35.0) and (last_candle["RSI_3_1d"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_0_112" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1d"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_0_113" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 30.0) ): return True, f"exit_{mode_name}_d_0_114" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_115" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_116" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["AROONU_14_1h"] > 80.0) and (last_candle["AROONU_14_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_0_117" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_0_118" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_0_119" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_0_120" elif 0.02 > current_profit >= 0.01: if ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] < last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] < last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_1_1" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 68.0) and (last_candle["CMF_20_1h"] < -0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_1_2" elif ( (last_candle["WILLR_14"] > -5.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 99.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] < -10.0) ) ): return True, f"exit_{mode_name}_d_1_3" elif ( (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_14"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_1_4" elif ( (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_14"] > 72.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_1_5" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_1_6" elif ( (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_1_7" elif ( (last_candle["WILLR_14"] > -2.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["CMF_20_1h"] < -0.1) and (last_candle["CMF_20_4h"] < -0.1) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_1_8" elif ( (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3"] > 95.0) and (last_candle["change_pct_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_1_9" elif ( (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] < -10.0) and (last_candle["ROC_9_4h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_1_10" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 45.0) and (last_candle["ROC_9_15m"] < -10.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_1_11" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_1h"] < -20.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_1_12" elif (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["ROC_9_4h"] < -25.0): return True, f"exit_{mode_name}_d_1_13" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_1_14" elif (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] > 75.0) and (last_candle["ROC_9_4h"] < -30.0): return True, f"exit_{mode_name}_d_1_15" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["AROONU_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["AROONU_14_1d"] > 50.0) and (last_candle["change_pct_1d"] < -15.0) ): return True, f"exit_{mode_name}_d_1_16" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_1_17" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["ROC_2_1d"] < -50.0) ): return True, f"exit_{mode_name}_d_1_18" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] > 72.0) and (last_candle["RSI_3_4h"] < 10.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_1_19" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_1_20" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_1_21" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["change_pct_4h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_1_22" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_1d"] < 5.0) ): return True, f"exit_{mode_name}_d_1_23" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] > 75.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_1_24" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_1_25" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_1_26" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_1_27" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 10.0) and (last_candle["ROC_9_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_28" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_1_29" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) ): return True, f"exit_{mode_name}_d_1_30" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_1_31" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_1_32" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["ROC_2_1h"] < -10.0) and (last_candle["ROC_9_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_33" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_14_1h"] > 80.0) and (last_candle["ROC_9_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_1_34" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 75.0) ): return True, f"exit_{mode_name}_d_1_35" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_36" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_37" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_1_38" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["CMF_20_4h"] < -0.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_1_39" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_1_40" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_1_41" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_1_42" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_1_43" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_1_44" elif (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 10.0): return True, f"exit_{mode_name}_d_1_45" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_2_1d"] < -20.0) ): return True, f"exit_{mode_name}_d_1_46" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) ): return True, f"exit_{mode_name}_d_1_47" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_48" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["change_pct_1d"] < -5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_1_49" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1d"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 90.0) ): return True, f"exit_{mode_name}_d_1_50" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_51" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_1_52" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_1_53" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["change_pct_1d"] < -10.0) ): return True, f"exit_{mode_name}_d_1_54" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["ROC_9_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_55" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) ): return True, f"exit_{mode_name}_d_1_56" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 36.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_d_1_57" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_58" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_1_59" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_14_4h"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_1_60" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_1_61" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) and (last_candle["change_pct_1d"] < -5.0) ): return True, f"exit_{mode_name}_d_1_62" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_1_63" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_1_64" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 15.0) ): return True, f"exit_{mode_name}_d_1_65" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_66" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_1_67" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_1_68" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["ROC_9_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_1_69" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_1_70" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_1_71" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_1_72" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_1_73" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_74" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_1_75" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_1_76" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_1_77" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["RSI_3_1d"] < 20.0) ): return True, f"exit_{mode_name}_d_1_78" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_1_79" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_1_80" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_1_81" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_1_82" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_1_83" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_1_84" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_85" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_14_4h"] > 80.0) and (last_candle["ROC_2_1h"] < -5.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_86" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_87" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_1h"] < -2.0) ): return True, f"exit_{mode_name}_d_1_88" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_1_89" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_1_90" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_1_91" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_1_92" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 50.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_1_93" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 45.0) and (last_candle["AROONU_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_1_94" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) and (isinstance(last_candle["AROONU_14_1d"], np.float64) and (last_candle["AROONU_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_1_95" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_1d"] < 45.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_96" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_1_97" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_15m"] > 72.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["RSI_3_1d"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_98" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 65.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_d_1_99" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_14"] > 76.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_1_100" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 40.0)) ): return True, f"exit_{mode_name}_d_1_101" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_1_102" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_14_4h"] > 70.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 80.0)) ): return True, f"exit_{mode_name}_d_1_103" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_1_104" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_15m"] < 55.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_1_105" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_1_106" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["RSI_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_107" elif ( (last_candle["RSI_3"] > 56.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_d_1_108" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_1_109" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_3_4h"] < 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_1_110" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["AROONU_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_1_111" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["RSI_3_4h"] < 35.0) and (last_candle["RSI_3_1d"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_1_112" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1d"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_1_113" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 30.0) ): return True, f"exit_{mode_name}_d_1_114" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_115" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_116" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["AROONU_14_1h"] > 80.0) and (last_candle["AROONU_14_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_1_117" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_1_118" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_1_119" elif ( (last_candle["RSI_3"] > 54.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_1_120" elif 0.03 > current_profit >= 0.02: if ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] < last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] < last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_2_1" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 66.0) and (last_candle["CMF_20_1h"] < -0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_2_2" elif ( (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 99.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] < -10.0) ) ): return True, f"exit_{mode_name}_d_2_3" elif ( (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_14"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_2_4" elif ( (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_2_5" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_2_6" elif ( (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_2_7" elif ( (last_candle["WILLR_14"] > -4.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["CMF_20_1h"] < -0.1) and (last_candle["CMF_20_4h"] < -0.1) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_2_8" elif ( (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3"] > 95.0) and (last_candle["change_pct_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_2_9" elif ( (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] < -10.0) and (last_candle["ROC_9_4h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_2_10" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 45.0) and (last_candle["ROC_9_15m"] < -10.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_2_11" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_1h"] < -20.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_2_12" elif (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["ROC_9_4h"] < -25.0): return True, f"exit_{mode_name}_d_2_13" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_2_14" elif (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["ROC_9_4h"] < -30.0): return True, f"exit_{mode_name}_d_2_15" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["AROONU_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["AROONU_14_1d"] > 50.0) and (last_candle["change_pct_1d"] < -15.0) ): return True, f"exit_{mode_name}_d_2_16" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_2_17" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["ROC_2_1d"] < -50.0) ): return True, f"exit_{mode_name}_d_2_18" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["RSI_3_4h"] < 10.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_2_19" elif ( (last_candle["RSI_3"] > 48.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_2_20" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_2_21" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["change_pct_4h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_2_22" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_1d"] < 5.0) ): return True, f"exit_{mode_name}_d_2_23" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_2_24" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_2_25" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_2_26" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_2_27" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 10.0) and (last_candle["ROC_9_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_28" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_2_29" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) ): return True, f"exit_{mode_name}_d_2_30" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_2_31" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_2_32" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["ROC_2_1h"] < -10.0) and (last_candle["ROC_9_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_33" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_14_1h"] > 80.0) and (last_candle["ROC_9_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_2_34" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -7.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 75.0) ): return True, f"exit_{mode_name}_d_2_35" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_36" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_37" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_2_38" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["CMF_20_4h"] < -0.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_2_39" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_2_40" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_2_41" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_2_42" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_2_43" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_2_44" elif (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 10.0): return True, f"exit_{mode_name}_d_2_45" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_2_1d"] < -20.0) ): return True, f"exit_{mode_name}_d_2_46" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) ): return True, f"exit_{mode_name}_d_2_47" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_48" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["change_pct_1d"] < -5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_2_49" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1d"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 90.0) ): return True, f"exit_{mode_name}_d_2_50" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_51" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_2_52" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_2_53" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["change_pct_1d"] < -10.0) ): return True, f"exit_{mode_name}_d_2_54" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["ROC_9_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_55" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) ): return True, f"exit_{mode_name}_d_2_56" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 38.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_d_2_57" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_58" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_2_59" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_14_4h"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_2_60" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_2_61" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) and (last_candle["change_pct_1d"] < -5.0) ): return True, f"exit_{mode_name}_d_2_62" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_2_63" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_2_64" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 15.0) ): return True, f"exit_{mode_name}_d_2_65" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_66" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_2_67" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_2_68" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["ROC_9_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_2_69" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_2_70" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_2_71" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_2_72" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_2_73" elif ( (last_candle["RSI_3"] > 97.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_74" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_2_75" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["ROC_9_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_2_76" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_2_77" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["RSI_3_1d"] < 20.0) ): return True, f"exit_{mode_name}_d_2_78" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_2_79" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_2_80" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_2_81" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_2_82" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_2_83" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_2_84" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_85" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_14_4h"] > 80.0) and (last_candle["ROC_2_1h"] < -5.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_86" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_87" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -22.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_1h"] < -2.0) ): return True, f"exit_{mode_name}_d_2_88" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["ROC_9_1h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_2_89" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_2_90" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_2_91" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_2_92" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_15m"] < 50.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_2_93" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 45.0) and (last_candle["AROONU_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_2_94" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) and (isinstance(last_candle["AROONU_14_1d"], np.float64) and (last_candle["AROONU_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_2_95" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_1d"] < 45.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_96" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_2_97" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["RSI_3_1d"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_98" elif ( (last_candle["RSI_3"] > 58.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 65.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_d_2_99" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_14"] > 74.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_2_100" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 40.0)) ): return True, f"exit_{mode_name}_d_2_101" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_2_102" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 58.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_14_4h"] > 70.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 80.0)) ): return True, f"exit_{mode_name}_d_2_103" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_2_104" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 55.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_2_105" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_2_106" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["RSI_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_107" elif ( (last_candle["RSI_3"] > 54.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_d_2_108" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_2_109" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_4h"] < 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_2_110" elif ( (last_candle["RSI_3"] > 48.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["AROONU_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_2_111" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["RSI_3_4h"] < 35.0) and (last_candle["RSI_3_1d"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_2_112" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1d"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_2_113" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 30.0) ): return True, f"exit_{mode_name}_d_2_114" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_115" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_116" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["AROONU_14_1h"] > 80.0) and (last_candle["AROONU_14_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_2_117" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_2_118" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_2_119" elif ( (last_candle["RSI_3"] > 52.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_2_120" elif 0.04 > current_profit >= 0.03: if ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] < last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] < last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_3_1" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["CMF_20_1h"] < -0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_3_2" elif ( (last_candle["WILLR_14"] > -20.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] < -10.0) ) ): return True, f"exit_{mode_name}_d_3_3" elif ( (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_14"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_3_4" elif ( (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_14"] > 68.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_3_5" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_3_6" elif ( (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_3_7" elif ( (last_candle["WILLR_14"] > -6.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["CMF_20_1h"] < -0.1) and (last_candle["CMF_20_4h"] < -0.1) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_3_8" elif ( (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3"] > 95.0) and (last_candle["change_pct_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_3_9" elif ( (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] < -10.0) and (last_candle["ROC_9_4h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_3_10" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 45.0) and (last_candle["ROC_9_15m"] < -10.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_3_11" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_1h"] < -20.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_3_12" elif (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["ROC_9_4h"] < -25.0): return True, f"exit_{mode_name}_d_3_13" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_3_14" elif (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] > 65.0) and (last_candle["ROC_9_4h"] < -30.0): return True, f"exit_{mode_name}_d_3_15" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["AROONU_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["AROONU_14_1d"] > 50.0) and (last_candle["change_pct_1d"] < -15.0) ): return True, f"exit_{mode_name}_d_3_16" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_3_17" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["ROC_2_1d"] < -50.0) ): return True, f"exit_{mode_name}_d_3_18" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_14"] > 68.0) and (last_candle["RSI_3_4h"] < 10.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_3_19" elif ( (last_candle["RSI_3"] > 46.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_3_20" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_3_21" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["change_pct_4h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_3_22" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_1d"] < 5.0) ): return True, f"exit_{mode_name}_d_3_23" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_14"] > 68.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_3_24" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_3_25" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_3_26" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_3_27" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 10.0) and (last_candle["ROC_9_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_28" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_3_29" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) ): return True, f"exit_{mode_name}_d_3_30" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_3_31" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_3_32" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["ROC_2_1h"] < -10.0) and (last_candle["ROC_9_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_33" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_14_1h"] > 80.0) and (last_candle["ROC_9_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_3_34" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 75.0) ): return True, f"exit_{mode_name}_d_3_35" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_36" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_37" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_3_38" elif ( (last_candle["RSI_3"] > 93.0) and (last_candle["WILLR_14"] > -7.0) and (last_candle["CMF_20_4h"] < -0.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_3_39" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_3_40" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_3_41" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_3_42" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_3_43" elif ( (last_candle["RSI_3"] > 55.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_3_44" elif (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 10.0): return True, f"exit_{mode_name}_d_3_45" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_2_1d"] < -20.0) ): return True, f"exit_{mode_name}_d_3_46" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) ): return True, f"exit_{mode_name}_d_3_47" elif ( (last_candle["RSI_3"] > 55.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_48" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["change_pct_1d"] < -5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_3_49" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1d"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 90.0) ): return True, f"exit_{mode_name}_d_3_50" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_51" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_3_52" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_3_53" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["change_pct_1d"] < -10.0) ): return True, f"exit_{mode_name}_d_3_54" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["ROC_9_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_55" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) ): return True, f"exit_{mode_name}_d_3_56" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_d_3_57" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_58" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_3_59" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_14_4h"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_3_60" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_3_61" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) and (last_candle["change_pct_1d"] < -5.0) ): return True, f"exit_{mode_name}_d_3_62" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_3_63" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_3_64" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 15.0) ): return True, f"exit_{mode_name}_d_3_65" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_66" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_3_67" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_3_68" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["ROC_9_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_3_69" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_3_70" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_3_71" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_3_72" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_3_73" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_74" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_3_75" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["ROC_9_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_3_76" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_3_77" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["RSI_3_1d"] < 20.0) ): return True, f"exit_{mode_name}_d_3_78" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_3_79" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_3_80" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_3_81" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_3_82" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_3_83" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_3_84" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_85" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14_4h"] > 80.0) and (last_candle["ROC_2_1h"] < -5.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_86" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_87" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -24.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_1h"] < -2.0) ): return True, f"exit_{mode_name}_d_3_88" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["ROC_9_1h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_3_89" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_3_90" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_3_91" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_3_92" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_15m"] < 50.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_3_93" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 45.0) and (last_candle["AROONU_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_3_94" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) and (isinstance(last_candle["AROONU_14_1d"], np.float64) and (last_candle["AROONU_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_3_95" elif ( (last_candle["RSI_3"] > 58.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_1d"] < 45.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_96" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_3_97" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_3_15m"] > 68.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["RSI_3_1d"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_98" elif ( (last_candle["RSI_3"] > 56.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 65.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_d_3_99" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_14"] > 72.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_3_100" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 40.0)) ): return True, f"exit_{mode_name}_d_3_101" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_3_102" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 60.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_14_4h"] > 70.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 80.0)) ): return True, f"exit_{mode_name}_d_3_103" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_3_104" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_15m"] < 55.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_3_105" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_3_106" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["RSI_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_107" elif ( (last_candle["RSI_3"] > 52.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_d_3_108" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_3_109" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_3_4h"] < 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_3_110" elif ( (last_candle["RSI_3"] > 46.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["AROONU_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_3_111" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["WILLR_14"] > -35.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["RSI_3_4h"] < 35.0) and (last_candle["RSI_3_1d"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_3_112" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1d"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_3_113" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 30.0) ): return True, f"exit_{mode_name}_d_3_114" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_115" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_116" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["AROONU_14_1h"] > 80.0) and (last_candle["AROONU_14_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_3_117" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_3_118" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_3_119" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_3_120" elif 0.05 > current_profit >= 0.04: if ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] < last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] < last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_4_1" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["CMF_20_1h"] < -0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_4_2" elif ( (last_candle["WILLR_14"] > -20.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] < -10.0) ) ): return True, f"exit_{mode_name}_d_4_3" elif ( (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_14"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_4_4" elif ( (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_14"] > 66.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_4_5" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_4_6" elif ( (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_4_7" elif ( (last_candle["WILLR_14"] > -8.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["CMF_20_1h"] < -0.1) and (last_candle["CMF_20_4h"] < -0.1) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_4_8" elif ( (last_candle["WILLR_14"] > -7.0) and (last_candle["RSI_3"] > 95.0) and (last_candle["change_pct_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_4_9" elif ( (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] < -10.0) and (last_candle["ROC_9_4h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_4_10" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 45.0) and (last_candle["ROC_9_15m"] < -10.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_4_11" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_1h"] < -20.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_4_12" elif (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["ROC_9_4h"] < -25.0): return True, f"exit_{mode_name}_d_4_13" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_4_14" elif (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_4h"] < -30.0): return True, f"exit_{mode_name}_d_4_15" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["AROONU_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["AROONU_14_1d"] > 50.0) and (last_candle["change_pct_1d"] < -15.0) ): return True, f"exit_{mode_name}_d_4_16" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_4_17" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["ROC_2_1d"] < -50.0) ): return True, f"exit_{mode_name}_d_4_18" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14"] > 66.0) and (last_candle["RSI_3_4h"] < 10.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_4_19" elif ( (last_candle["RSI_3"] > 44.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_4_20" elif ( (last_candle["RSI_3"] > 55.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_4_21" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["change_pct_4h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_4_22" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_1d"] < 5.0) ): return True, f"exit_{mode_name}_d_4_23" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14"] > 66.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_4_24" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_4_25" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_4_26" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_4_27" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 10.0) and (last_candle["ROC_9_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_28" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_4_29" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) ): return True, f"exit_{mode_name}_d_4_30" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_4_31" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_4_32" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["ROC_2_1h"] < -10.0) and (last_candle["ROC_9_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_33" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_14_1h"] > 80.0) and (last_candle["ROC_9_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_4_34" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -9.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 75.0) ): return True, f"exit_{mode_name}_d_4_35" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_36" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_37" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_4_38" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["CMF_20_4h"] < -0.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_4_39" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_4_40" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_4_41" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_4_42" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_4_43" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_4_44" elif (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_1h"] < 10.0): return True, f"exit_{mode_name}_d_4_45" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_2_1d"] < -20.0) ): return True, f"exit_{mode_name}_d_4_46" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) ): return True, f"exit_{mode_name}_d_4_47" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_48" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["change_pct_1d"] < -5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_4_49" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1d"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 90.0) ): return True, f"exit_{mode_name}_d_4_50" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_51" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_4_52" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_4_53" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["change_pct_1d"] < -10.0) ): return True, f"exit_{mode_name}_d_4_54" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["ROC_9_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_55" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) ): return True, f"exit_{mode_name}_d_4_56" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 42.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_d_4_57" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_58" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_4_59" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_14_4h"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_4_60" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_4_61" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) and (last_candle["change_pct_1d"] < -5.0) ): return True, f"exit_{mode_name}_d_4_62" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_4_63" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_4_64" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 15.0) ): return True, f"exit_{mode_name}_d_4_65" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_66" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_4_67" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_4_68" elif ( (last_candle["RSI_3"] > 93.0) and (last_candle["ROC_9_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_4_69" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_4_70" elif ( (last_candle["RSI_3"] > 58.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_4_71" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_4_72" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_4_73" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_74" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_4_75" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["ROC_9_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_4_76" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_4_77" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -22.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["RSI_3_1d"] < 20.0) ): return True, f"exit_{mode_name}_d_4_78" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_4_79" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_4_80" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_4_81" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_4_82" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_4_83" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_4_84" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_85" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_14_4h"] > 80.0) and (last_candle["ROC_2_1h"] < -5.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_86" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_87" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -26.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_1h"] < -2.0) ): return True, f"exit_{mode_name}_d_4_88" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["ROC_9_1h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_4_89" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_4_90" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_4_91" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_4_92" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_15m"] < 50.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_4_93" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 45.0) and (last_candle["AROONU_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_4_94" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) and (isinstance(last_candle["AROONU_14_1d"], np.float64) and (last_candle["AROONU_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_4_95" elif ( (last_candle["RSI_3"] > 56.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_1d"] < 45.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_96" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_4_97" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_3_15m"] > 66.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["RSI_3_1d"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_98" elif ( (last_candle["RSI_3"] > 54.0) and (last_candle["RSI_14"] < 58.0) and (last_candle["RSI_3_1h"] < 65.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_d_4_99" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_4_100" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -22.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 40.0)) ): return True, f"exit_{mode_name}_d_4_101" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_4_102" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 62.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_14_4h"] > 70.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 80.0)) ): return True, f"exit_{mode_name}_d_4_103" elif ( (last_candle["RSI_3"] > 58.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_4_104" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_15m"] < 55.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_4_105" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_4_106" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["RSI_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_107" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_d_4_108" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_4_109" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_3_4h"] < 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_4_110" elif ( (last_candle["RSI_3"] > 44.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["AROONU_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_4_111" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["WILLR_14"] > -40.0) and (last_candle["RSI_14"] < 58.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["RSI_3_4h"] < 35.0) and (last_candle["RSI_3_1d"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_4_112" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1d"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_4_113" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 30.0) ): return True, f"exit_{mode_name}_d_4_114" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_115" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_116" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["AROONU_14_1h"] > 80.0) and (last_candle["AROONU_14_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_4_117" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_4_118" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_4_119" elif ( (last_candle["RSI_3"] > 48.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_4_120" elif 0.06 > current_profit >= 0.05: if ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] < last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] < last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_5_1" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["CMF_20_1h"] < -0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_5_2" elif ( (last_candle["WILLR_14"] > -20.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] < -10.0) ) ): return True, f"exit_{mode_name}_d_5_3" elif ( (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_14"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_5_4" elif ( (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_5_5" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_5_6" elif ( (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_5_7" elif ( (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["CMF_20_1h"] < -0.1) and (last_candle["CMF_20_4h"] < -0.1) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_5_8" elif ( (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3"] > 95.0) and (last_candle["change_pct_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_5_9" elif ( (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] < -10.0) and (last_candle["ROC_9_4h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_5_10" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 45.0) and (last_candle["ROC_9_15m"] < -10.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_5_11" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_1h"] < -20.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_5_12" elif (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["ROC_9_4h"] < -25.0): return True, f"exit_{mode_name}_d_5_13" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_5_14" elif (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["ROC_9_4h"] < -30.0): return True, f"exit_{mode_name}_d_5_15" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["AROONU_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["AROONU_14_1d"] > 50.0) and (last_candle["change_pct_1d"] < -15.0) ): return True, f"exit_{mode_name}_d_5_16" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -35.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_5_17" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["ROC_2_1d"] < -50.0) ): return True, f"exit_{mode_name}_d_5_18" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3_4h"] < 10.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_5_19" elif ( (last_candle["RSI_3"] > 42.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_5_20" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_5_21" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["change_pct_4h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_5_22" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_1d"] < 5.0) ): return True, f"exit_{mode_name}_d_5_23" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["WILLR_14"] > -35.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_5_24" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_5_25" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_5_26" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_5_27" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 10.0) and (last_candle["ROC_9_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_28" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_5_29" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) ): return True, f"exit_{mode_name}_d_5_30" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_5_31" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_5_32" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["ROC_2_1h"] < -10.0) and (last_candle["ROC_9_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_33" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_14_1h"] > 80.0) and (last_candle["ROC_9_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_5_34" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 75.0) ): return True, f"exit_{mode_name}_d_5_35" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["WILLR_14"] > -35.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_36" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_37" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["WILLR_14"] > -35.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_5_38" elif ( (last_candle["RSI_3"] > 91.0) and (last_candle["WILLR_14"] > -9.0) and (last_candle["CMF_20_4h"] < -0.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_5_39" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["WILLR_14"] > -35.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_5_40" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_5_41" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -45.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_5_42" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_5_43" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_5_44" elif (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_1h"] < 10.0): return True, f"exit_{mode_name}_d_5_45" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_2_1d"] < -20.0) ): return True, f"exit_{mode_name}_d_5_46" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) ): return True, f"exit_{mode_name}_d_5_47" elif ( (last_candle["RSI_3"] > 45.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_48" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["change_pct_1d"] < -5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_5_49" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_1d"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 90.0) ): return True, f"exit_{mode_name}_d_5_50" elif ( (last_candle["RSI_3"] > 58.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_51" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_5_52" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_5_53" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["change_pct_1d"] < -10.0) ): return True, f"exit_{mode_name}_d_5_54" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -22.0) and (last_candle["ROC_9_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_55" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) ): return True, f"exit_{mode_name}_d_5_56" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 44.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_d_5_57" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_58" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_5_59" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_14_4h"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_5_60" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_5_61" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) and (last_candle["change_pct_1d"] < -5.0) ): return True, f"exit_{mode_name}_d_5_62" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_5_63" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_5_64" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 15.0) ): return True, f"exit_{mode_name}_d_5_65" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_66" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_5_67" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_5_68" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["ROC_9_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_5_69" elif ( (last_candle["RSI_3"] > 58.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_5_70" elif ( (last_candle["RSI_3"] > 56.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_5_71" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_5_72" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_5_73" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_74" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_5_75" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 58.0) and (last_candle["ROC_9_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_5_76" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_5_77" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -24.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["RSI_3_1d"] < 20.0) ): return True, f"exit_{mode_name}_d_5_78" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_5_79" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_5_80" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_5_81" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_5_82" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_5_83" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_5_84" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_85" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14_4h"] > 80.0) and (last_candle["ROC_2_1h"] < -5.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_86" elif ( (last_candle["RSI_3"] > 58.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_87" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -28.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_1h"] < -2.0) ): return True, f"exit_{mode_name}_d_5_88" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["ROC_9_1h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_5_89" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_5_90" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_5_91" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_5_92" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 58.0) and (last_candle["RSI_3_15m"] < 50.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_5_93" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 58.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 45.0) and (last_candle["AROONU_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_5_94" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) and (isinstance(last_candle["AROONU_14_1d"], np.float64) and (last_candle["AROONU_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_5_95" elif ( (last_candle["RSI_3"] > 54.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_1d"] < 45.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_96" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_5_97" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_3_15m"] > 64.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["RSI_3_1d"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_98" elif ( (last_candle["RSI_3"] > 52.0) and (last_candle["RSI_14"] < 60.0) and (last_candle["RSI_3_1h"] < 65.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_d_5_99" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] > 68.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_5_100" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["WILLR_14"] > -24.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 40.0)) ): return True, f"exit_{mode_name}_d_5_101" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_5_102" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 64.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_14_4h"] > 70.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 80.0)) ): return True, f"exit_{mode_name}_d_5_103" elif ( (last_candle["RSI_3"] > 56.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_5_104" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_15m"] < 55.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_5_105" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_5_106" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["RSI_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_107" elif ( (last_candle["RSI_3"] > 48.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_d_5_108" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_5_109" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_3_4h"] < 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_5_110" elif ( (last_candle["RSI_3"] > 42.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["AROONU_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_5_111" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["WILLR_14"] > -45.0) and (last_candle["RSI_14"] < 60.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["RSI_3_4h"] < 35.0) and (last_candle["RSI_3_1d"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_5_112" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1d"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_5_113" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 58.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 30.0) ): return True, f"exit_{mode_name}_d_5_114" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_115" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_116" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["AROONU_14_1h"] > 80.0) and (last_candle["AROONU_14_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_5_117" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_5_118" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_5_119" elif ( (last_candle["RSI_3"] > 46.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_5_120" elif 0.07 > current_profit >= 0.06: if ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] < last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] < last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_6_1" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["CMF_20_1h"] < -0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_6_2" elif ( (last_candle["WILLR_14"] > -15.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 98.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] < -10.0) ) ): return True, f"exit_{mode_name}_d_6_3" elif ( (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_14"] > 68.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_6_4" elif ( (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_14"] > 66.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_6_5" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_6_6" elif ( (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_6_7" elif ( (last_candle["WILLR_14"] > -8.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["CMF_20_1h"] < -0.1) and (last_candle["CMF_20_4h"] < -0.1) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_6_8" elif ( (last_candle["WILLR_14"] > -7.0) and (last_candle["RSI_3"] > 95.0) and (last_candle["change_pct_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_6_9" elif ( (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] < -10.0) and (last_candle["ROC_9_4h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_6_10" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 45.0) and (last_candle["ROC_9_15m"] < -10.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_6_11" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_1h"] < -20.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_6_12" elif (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["ROC_9_4h"] < -25.0): return True, f"exit_{mode_name}_d_6_13" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_6_14" elif (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_4h"] < -30.0): return True, f"exit_{mode_name}_d_6_15" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["AROONU_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["AROONU_14_1d"] > 50.0) and (last_candle["change_pct_1d"] < -15.0) ): return True, f"exit_{mode_name}_d_6_16" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_6_17" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] > 65.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["ROC_2_1d"] < -50.0) ): return True, f"exit_{mode_name}_d_6_18" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14"] > 66.0) and (last_candle["RSI_3_4h"] < 10.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_6_19" elif ( (last_candle["RSI_3"] > 44.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_6_20" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_6_21" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["change_pct_4h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_6_22" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_1d"] < 5.0) ): return True, f"exit_{mode_name}_d_6_23" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14"] > 66.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_6_24" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_6_25" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_6_26" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_6_27" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 10.0) and (last_candle["ROC_9_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_28" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_6_29" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) ): return True, f"exit_{mode_name}_d_6_30" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_6_31" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_6_32" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["ROC_2_1h"] < -10.0) and (last_candle["ROC_9_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_33" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_14_1h"] > 80.0) and (last_candle["ROC_9_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_6_34" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -9.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 75.0) ): return True, f"exit_{mode_name}_d_6_35" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_36" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_37" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_6_38" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["CMF_20_4h"] < -0.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_6_39" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_6_40" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_6_41" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_6_42" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_6_43" elif ( (last_candle["RSI_3"] > 55.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_6_44" elif (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_1h"] < 10.0): return True, f"exit_{mode_name}_d_6_45" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_2_1d"] < -20.0) ): return True, f"exit_{mode_name}_d_6_46" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) ): return True, f"exit_{mode_name}_d_6_47" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_48" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["change_pct_1d"] < -5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_6_49" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1d"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 90.0) ): return True, f"exit_{mode_name}_d_6_50" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_51" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_6_52" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_6_53" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["change_pct_1d"] < -10.0) ): return True, f"exit_{mode_name}_d_6_54" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["ROC_9_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_55" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) ): return True, f"exit_{mode_name}_d_6_56" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 42.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_d_6_57" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_58" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_6_59" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_14_4h"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_6_60" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_6_61" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) and (last_candle["change_pct_1d"] < -5.0) ): return True, f"exit_{mode_name}_d_6_62" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_6_63" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_6_64" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 15.0) ): return True, f"exit_{mode_name}_d_6_65" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_66" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_6_67" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_6_68" elif ( (last_candle["RSI_3"] > 93.0) and (last_candle["ROC_9_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_6_69" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_6_70" elif ( (last_candle["RSI_3"] > 58.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_6_71" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_6_72" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_6_73" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_74" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_6_75" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["ROC_9_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_6_76" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_6_77" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -22.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["RSI_3_1d"] < 20.0) ): return True, f"exit_{mode_name}_d_6_78" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_6_79" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_6_80" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_6_81" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_6_82" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_6_83" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_6_84" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_85" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_14_4h"] > 80.0) and (last_candle["ROC_2_1h"] < -5.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_86" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_87" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -26.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_1h"] < -2.0) ): return True, f"exit_{mode_name}_d_6_88" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["ROC_9_1h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_6_89" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_6_90" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_6_91" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_6_92" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_15m"] < 50.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_6_93" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 45.0) and (last_candle["AROONU_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_6_94" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) and (isinstance(last_candle["AROONU_14_1d"], np.float64) and (last_candle["AROONU_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_6_95" elif ( (last_candle["RSI_3"] > 56.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_1d"] < 45.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_96" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_6_97" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_3_15m"] > 66.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["RSI_3_1d"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_98" elif ( (last_candle["RSI_3"] > 54.0) and (last_candle["RSI_14"] < 58.0) and (last_candle["RSI_3_1h"] < 65.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_d_6_99" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_6_100" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -22.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 40.0)) ): return True, f"exit_{mode_name}_d_6_101" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_6_102" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 62.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_14_4h"] > 70.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 80.0)) ): return True, f"exit_{mode_name}_d_6_103" elif ( (last_candle["RSI_3"] > 58.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_6_104" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_15m"] < 55.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_6_105" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_6_106" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["RSI_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_107" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_d_6_108" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_6_109" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_3_4h"] < 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_6_110" elif ( (last_candle["RSI_3"] > 44.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["AROONU_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_6_111" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["WILLR_14"] > -40.0) and (last_candle["RSI_14"] < 58.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["RSI_3_4h"] < 35.0) and (last_candle["RSI_3_1d"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_6_112" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1d"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_6_113" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 30.0) ): return True, f"exit_{mode_name}_d_6_114" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_115" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_116" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["AROONU_14_1h"] > 80.0) and (last_candle["AROONU_14_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_6_117" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_6_118" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_6_119" elif ( (last_candle["RSI_3"] > 48.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_6_120" elif 0.08 > current_profit >= 0.07: if ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] < last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] < last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_7_1" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["CMF_20_1h"] < -0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_7_2" elif ( (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 98.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] < -10.0) ) ): return True, f"exit_{mode_name}_d_7_3" elif ( (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_7_4" elif ( (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_14"] > 68.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_7_5" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_7_6" elif ( (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_7_7" elif ( (last_candle["WILLR_14"] > -6.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["CMF_20_1h"] < -0.1) and (last_candle["CMF_20_4h"] < -0.1) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_7_8" elif ( (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3"] > 95.0) and (last_candle["change_pct_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_7_9" elif ( (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] < -10.0) and (last_candle["ROC_9_4h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_7_10" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_14"] < 45.0) and (last_candle["ROC_9_15m"] < -10.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_7_11" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_1h"] < -20.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_7_12" elif (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["ROC_9_4h"] < -25.0): return True, f"exit_{mode_name}_d_7_13" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_7_14" elif (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["ROC_9_4h"] < -30.0): return True, f"exit_{mode_name}_d_7_15" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["AROONU_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["AROONU_14_1d"] > 50.0) and (last_candle["change_pct_1d"] < -15.0) ): return True, f"exit_{mode_name}_d_7_16" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_7_17" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["ROC_2_1d"] < -50.0) ): return True, f"exit_{mode_name}_d_7_18" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_14"] > 68.0) and (last_candle["RSI_3_4h"] < 10.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_7_19" elif ( (last_candle["RSI_3"] > 46.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_7_20" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_7_21" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["change_pct_4h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_7_22" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_1d"] < 5.0) ): return True, f"exit_{mode_name}_d_7_23" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_14"] > 68.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_7_24" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_7_25" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_7_26" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_7_27" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 10.0) and (last_candle["ROC_9_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_28" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_7_29" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) ): return True, f"exit_{mode_name}_d_7_30" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_7_31" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_7_32" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["ROC_2_1h"] < -10.0) and (last_candle["ROC_9_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_33" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_14_1h"] > 80.0) and (last_candle["ROC_9_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_7_34" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 75.0) ): return True, f"exit_{mode_name}_d_7_35" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_36" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_37" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_7_38" elif ( (last_candle["RSI_3"] > 93.0) and (last_candle["WILLR_14"] > -7.0) and (last_candle["CMF_20_4h"] < -0.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_7_39" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_7_40" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_7_41" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_7_42" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_7_43" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_7_44" elif (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 10.0): return True, f"exit_{mode_name}_d_7_45" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_2_1d"] < -20.0) ): return True, f"exit_{mode_name}_d_7_46" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) ): return True, f"exit_{mode_name}_d_7_47" elif ( (last_candle["RSI_3"] > 55.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_48" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["change_pct_1d"] < -5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_7_49" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1d"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 90.0) ): return True, f"exit_{mode_name}_d_7_50" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_51" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_7_52" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_7_53" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["change_pct_1d"] < -10.0) ): return True, f"exit_{mode_name}_d_7_54" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["ROC_9_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_55" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) ): return True, f"exit_{mode_name}_d_7_56" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_d_7_57" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_58" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_7_59" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_14_4h"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_7_60" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_7_61" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) and (last_candle["change_pct_1d"] < -5.0) ): return True, f"exit_{mode_name}_d_7_62" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_7_63" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_7_64" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 15.0) ): return True, f"exit_{mode_name}_d_7_65" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_66" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_7_67" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_7_68" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["ROC_9_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_7_69" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_7_70" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_7_71" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_7_72" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_7_73" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_74" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_7_75" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["ROC_9_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_7_76" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_7_77" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["RSI_3_1d"] < 20.0) ): return True, f"exit_{mode_name}_d_7_78" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_7_79" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_7_80" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_7_81" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_7_82" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_7_83" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_7_84" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_85" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14_4h"] > 80.0) and (last_candle["ROC_2_1h"] < -5.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_86" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_87" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -24.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_1h"] < -2.0) ): return True, f"exit_{mode_name}_d_7_88" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["ROC_9_1h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_7_89" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_7_90" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_7_91" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_7_92" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_15m"] < 50.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_7_93" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 45.0) and (last_candle["AROONU_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_7_94" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) and (isinstance(last_candle["AROONU_14_1d"], np.float64) and (last_candle["AROONU_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_7_95" elif ( (last_candle["RSI_3"] > 58.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_1d"] < 45.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_96" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_7_97" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_3_15m"] > 68.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["RSI_3_1d"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_98" elif ( (last_candle["RSI_3"] > 56.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 65.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_d_7_99" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_14"] > 72.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_7_100" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 40.0)) ): return True, f"exit_{mode_name}_d_7_101" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_7_102" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 60.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_14_4h"] > 70.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 80.0)) ): return True, f"exit_{mode_name}_d_7_103" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_7_104" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_15m"] < 55.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_7_105" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_7_106" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["RSI_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_107" elif ( (last_candle["RSI_3"] > 52.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_d_7_108" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_7_109" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_3_4h"] < 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_7_110" elif ( (last_candle["RSI_3"] > 46.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["AROONU_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_7_111" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["WILLR_14"] > -35.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["RSI_3_4h"] < 35.0) and (last_candle["RSI_3_1d"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_7_112" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1d"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_7_113" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 30.0) ): return True, f"exit_{mode_name}_d_7_114" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_115" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_116" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["AROONU_14_1h"] > 80.0) and (last_candle["AROONU_14_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_7_117" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_7_118" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_7_119" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_7_120" elif 0.09 > current_profit >= 0.08: if ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] < last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] < last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_8_1" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 66.0) and (last_candle["CMF_20_1h"] < -0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_8_2" elif ( (last_candle["WILLR_14"] > -8.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 98.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] < -10.0) ) ): return True, f"exit_{mode_name}_d_8_3" elif ( (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_14"] > 72.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_8_4" elif ( (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_8_5" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_8_6" elif ( (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_8_7" elif ( (last_candle["WILLR_14"] > -4.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["CMF_20_1h"] < -0.1) and (last_candle["CMF_20_4h"] < -0.1) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_8_8" elif ( (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3"] > 95.0) and (last_candle["change_pct_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_8_9" elif ( (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] < -10.0) and (last_candle["ROC_9_4h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_8_10" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 45.0) and (last_candle["ROC_9_15m"] < -10.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_8_11" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_1h"] < -20.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_8_12" elif (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["ROC_9_4h"] < -25.0): return True, f"exit_{mode_name}_d_8_13" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_8_14" elif (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["ROC_9_4h"] < -30.0): return True, f"exit_{mode_name}_d_8_15" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["AROONU_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["AROONU_14_1d"] > 50.0) and (last_candle["change_pct_1d"] < -15.0) ): return True, f"exit_{mode_name}_d_8_16" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_8_17" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] > 72.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["ROC_2_1d"] < -50.0) ): return True, f"exit_{mode_name}_d_8_18" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["RSI_3_4h"] < 10.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_8_19" elif ( (last_candle["RSI_3"] > 48.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_8_20" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_8_21" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["change_pct_4h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_8_22" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_1d"] < 5.0) ): return True, f"exit_{mode_name}_d_8_23" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_8_24" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_8_25" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_8_26" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_8_27" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 10.0) and (last_candle["ROC_9_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_28" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_8_29" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) ): return True, f"exit_{mode_name}_d_8_30" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_8_31" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_8_32" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["ROC_2_1h"] < -10.0) and (last_candle["ROC_9_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_33" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_14_1h"] > 80.0) and (last_candle["ROC_9_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_8_34" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -7.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 75.0) ): return True, f"exit_{mode_name}_d_8_35" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_36" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_37" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_8_38" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["CMF_20_4h"] < -0.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_8_39" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_8_40" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_8_41" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_8_42" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_8_43" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_8_44" elif (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 10.0): return True, f"exit_{mode_name}_d_8_45" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_2_1d"] < -20.0) ): return True, f"exit_{mode_name}_d_8_46" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) ): return True, f"exit_{mode_name}_d_8_47" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_48" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["change_pct_1d"] < -5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_8_49" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1d"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 90.0) ): return True, f"exit_{mode_name}_d_8_50" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_51" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_8_52" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_8_53" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["change_pct_1d"] < -10.0) ): return True, f"exit_{mode_name}_d_8_54" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["ROC_9_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_55" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) ): return True, f"exit_{mode_name}_d_8_56" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 38.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_d_8_57" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_58" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_8_59" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_14_4h"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_8_60" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_8_61" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) and (last_candle["change_pct_1d"] < -5.0) ): return True, f"exit_{mode_name}_d_8_62" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_8_63" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_8_64" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 15.0) ): return True, f"exit_{mode_name}_d_8_65" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_66" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_8_67" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_8_68" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["ROC_9_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_8_69" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_8_70" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_8_71" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_8_72" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_8_73" elif ( (last_candle["RSI_3"] > 97.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_74" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_8_75" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["ROC_9_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_8_76" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_8_77" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["RSI_3_1d"] < 20.0) ): return True, f"exit_{mode_name}_d_8_78" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_8_79" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_8_80" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_8_81" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_8_82" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_8_83" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_8_84" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_85" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_14_4h"] > 80.0) and (last_candle["ROC_2_1h"] < -5.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_86" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_87" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -22.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_1h"] < -2.0) ): return True, f"exit_{mode_name}_d_8_88" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["ROC_9_1h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_8_89" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_8_90" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_8_91" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_8_92" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_15m"] < 50.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_8_93" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 45.0) and (last_candle["AROONU_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_8_94" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) and (isinstance(last_candle["AROONU_14_1d"], np.float64) and (last_candle["AROONU_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_8_95" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_1d"] < 45.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_96" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_8_97" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["RSI_3_1d"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_98" elif ( (last_candle["RSI_3"] > 58.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 65.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_d_8_99" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_14"] > 74.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_8_100" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 40.0)) ): return True, f"exit_{mode_name}_d_8_101" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_8_102" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 58.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_14_4h"] > 70.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 80.0)) ): return True, f"exit_{mode_name}_d_8_103" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_8_104" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 55.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_8_105" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_8_106" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["RSI_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_107" elif ( (last_candle["RSI_3"] > 54.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_d_8_108" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_8_109" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_4h"] < 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_8_110" elif ( (last_candle["RSI_3"] > 48.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["AROONU_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_8_111" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -30.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["RSI_3_4h"] < 35.0) and (last_candle["RSI_3_1d"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_8_112" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1d"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_8_113" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 30.0) ): return True, f"exit_{mode_name}_d_8_114" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_115" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_116" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["AROONU_14_1h"] > 80.0) and (last_candle["AROONU_14_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_8_117" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_8_118" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_8_119" elif ( (last_candle["RSI_3"] > 52.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_8_120" elif 0.1 > current_profit >= 0.09: if ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] < last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] < last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_9_1" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 68.0) and (last_candle["CMF_20_1h"] < -0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_9_2" elif ( (last_candle["WILLR_14"] > -6.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 98.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] < -10.0) ) ): return True, f"exit_{mode_name}_d_9_3" elif ( (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_14"] > 74.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_9_4" elif ( (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_14"] > 72.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_9_5" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_9_6" elif ( (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_9_7" elif ( (last_candle["WILLR_14"] > -2.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["CMF_20_1h"] < -0.1) and (last_candle["CMF_20_4h"] < -0.1) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_9_8" elif ( (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3"] > 95.0) and (last_candle["change_pct_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_9_9" elif ( (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] < -10.0) and (last_candle["ROC_9_4h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_9_10" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_14"] < 45.0) and (last_candle["ROC_9_15m"] < -10.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_9_11" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_1h"] < -20.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_9_12" elif (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["ROC_9_4h"] < -25.0): return True, f"exit_{mode_name}_d_9_13" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_9_14" elif (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_14"] > 66.0) and (last_candle["ROC_9_4h"] < -30.0): return True, f"exit_{mode_name}_d_9_15" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["AROONU_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["AROONU_14_1d"] > 50.0) and (last_candle["change_pct_1d"] < -15.0) ): return True, f"exit_{mode_name}_d_9_16" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_9_17" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_14"] > 74.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["ROC_2_1d"] < -50.0) ): return True, f"exit_{mode_name}_d_9_18" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_14"] > 72.0) and (last_candle["RSI_3_4h"] < 10.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_9_19" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_9_20" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_9_21" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["change_pct_4h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_9_22" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_1d"] < 5.0) ): return True, f"exit_{mode_name}_d_9_23" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_14"] > 72.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_9_24" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_9_25" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_9_26" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_9_27" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 10.0) and (last_candle["ROC_9_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_28" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_9_29" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) ): return True, f"exit_{mode_name}_d_9_30" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_9_31" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_9_32" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["ROC_2_1h"] < -10.0) and (last_candle["ROC_9_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_33" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_14_1h"] > 80.0) and (last_candle["ROC_9_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_9_34" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 75.0) ): return True, f"exit_{mode_name}_d_9_35" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_36" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_37" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_9_38" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["CMF_20_4h"] < -0.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_9_39" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_9_40" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_9_41" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_9_42" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_9_43" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_9_44" elif (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 10.0): return True, f"exit_{mode_name}_d_9_45" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_2_1d"] < -20.0) ): return True, f"exit_{mode_name}_d_9_46" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) ): return True, f"exit_{mode_name}_d_9_47" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_48" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["change_pct_1d"] < -5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_9_49" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1d"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 90.0) ): return True, f"exit_{mode_name}_d_9_50" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_51" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_9_52" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_9_53" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["change_pct_1d"] < -10.0) ): return True, f"exit_{mode_name}_d_9_54" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["ROC_9_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_55" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) ): return True, f"exit_{mode_name}_d_9_56" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 36.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_d_9_57" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_58" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_9_59" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_14_4h"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_9_60" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_9_61" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) and (last_candle["change_pct_1d"] < -5.0) ): return True, f"exit_{mode_name}_d_9_62" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_9_63" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_9_64" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 15.0) ): return True, f"exit_{mode_name}_d_9_65" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_66" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_9_67" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_9_68" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["ROC_9_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_9_69" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_9_70" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_9_71" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_9_72" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_9_73" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_74" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_9_75" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_9_76" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_9_77" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["RSI_3_1d"] < 20.0) ): return True, f"exit_{mode_name}_d_9_78" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_9_79" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_9_80" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_9_81" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_9_82" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_9_83" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_9_84" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_85" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_14_4h"] > 80.0) and (last_candle["ROC_2_1h"] < -5.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_86" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_87" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_1h"] < -2.0) ): return True, f"exit_{mode_name}_d_9_88" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_9_89" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_9_90" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_9_91" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_9_92" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 50.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_9_93" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 45.0) and (last_candle["AROONU_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_9_94" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) and (isinstance(last_candle["AROONU_14_1d"], np.float64) and (last_candle["AROONU_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_9_95" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_1d"] < 45.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_96" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_9_97" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_15m"] > 72.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["RSI_3_1d"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_98" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 65.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_d_9_99" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_14"] > 76.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_9_100" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 40.0)) ): return True, f"exit_{mode_name}_d_9_101" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_9_102" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 56.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_14_4h"] > 70.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 80.0)) ): return True, f"exit_{mode_name}_d_9_103" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_9_104" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_15m"] < 55.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_9_105" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_9_106" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["RSI_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_107" elif ( (last_candle["RSI_3"] > 56.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_d_9_108" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_9_109" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_3_4h"] < 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_9_110" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["AROONU_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_9_111" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["RSI_3_4h"] < 35.0) and (last_candle["RSI_3_1d"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_9_112" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1d"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_9_113" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 30.0) ): return True, f"exit_{mode_name}_d_9_114" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_115" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_116" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["AROONU_14_1h"] > 80.0) and (last_candle["AROONU_14_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_9_117" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_9_118" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_9_119" elif ( (last_candle["RSI_3"] > 54.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_9_120" elif 0.12 > current_profit >= 0.1: if ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] < last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] < last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_10_1" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["CMF_20_1h"] < -0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_10_2" elif ( (last_candle["WILLR_14"] > -4.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 98.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] < -10.0) ) ): return True, f"exit_{mode_name}_d_10_3" elif ( (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_14"] > 76.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_10_4" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 74.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_10_5" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_10_6" elif ( (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_10_7" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["CMF_20_1h"] < -0.1) and (last_candle["CMF_20_4h"] < -0.1) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_10_8" elif ( (last_candle["WILLR_14"] > -3.0) and (last_candle["RSI_3"] > 95.0) and (last_candle["change_pct_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_10_9" elif ( (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] < -10.0) and (last_candle["ROC_9_4h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_10_10" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_14"] < 45.0) and (last_candle["ROC_9_15m"] < -10.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_10_11" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_1h"] < -20.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_10_12" elif (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["ROC_9_4h"] < -25.0): return True, f"exit_{mode_name}_d_10_13" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_10_14" elif (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_14"] > 68.0) and (last_candle["ROC_9_4h"] < -30.0): return True, f"exit_{mode_name}_d_10_15" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["AROONU_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["AROONU_14_1d"] > 50.0) and (last_candle["change_pct_1d"] < -15.0) ): return True, f"exit_{mode_name}_d_10_16" elif ( (last_candle["RSI_3"] > 97.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_10_17" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_14"] > 76.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["ROC_2_1d"] < -50.0) ): return True, f"exit_{mode_name}_d_10_18" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_14"] > 74.0) and (last_candle["RSI_3_4h"] < 10.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_10_19" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_10_20" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_10_21" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["change_pct_4h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_10_22" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_1d"] < 5.0) ): return True, f"exit_{mode_name}_d_10_23" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_14"] > 74.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_10_24" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_10_25" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_10_26" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_10_27" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 10.0) and (last_candle["ROC_9_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_28" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_10_29" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) ): return True, f"exit_{mode_name}_d_10_30" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_10_31" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_10_32" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["ROC_2_1h"] < -10.0) and (last_candle["ROC_9_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_33" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_14_1h"] > 80.0) and (last_candle["ROC_9_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_10_34" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 75.0) ): return True, f"exit_{mode_name}_d_10_35" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_36" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_37" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_10_38" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["CMF_20_4h"] < -0.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_10_39" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_10_40" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_10_41" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_10_42" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_10_43" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_10_44" elif (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 10.0): return True, f"exit_{mode_name}_d_10_45" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_2_1d"] < -20.0) ): return True, f"exit_{mode_name}_d_10_46" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) ): return True, f"exit_{mode_name}_d_10_47" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_48" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["change_pct_1d"] < -5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_10_49" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1d"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 90.0) ): return True, f"exit_{mode_name}_d_10_50" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_51" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_10_52" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_10_53" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["change_pct_1d"] < -10.0) ): return True, f"exit_{mode_name}_d_10_54" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["ROC_9_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_55" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) ): return True, f"exit_{mode_name}_d_10_56" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 34.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_d_10_57" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_58" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_10_59" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["RSI_14_4h"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_10_60" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_10_61" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) and (last_candle["change_pct_1d"] < -5.0) ): return True, f"exit_{mode_name}_d_10_62" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_10_63" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_10_64" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 15.0) ): return True, f"exit_{mode_name}_d_10_65" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_66" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_10_67" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_10_68" elif ( (last_candle["RSI_3"] > 97.0) and (last_candle["ROC_9_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_10_69" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_10_70" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_10_71" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_10_72" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_10_73" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_74" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_10_75" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["ROC_9_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_10_76" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_10_77" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["RSI_3_1d"] < 20.0) ): return True, f"exit_{mode_name}_d_10_78" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_10_79" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_10_80" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_10_81" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_10_82" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_10_83" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_10_84" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_85" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_14_4h"] > 80.0) and (last_candle["ROC_2_1h"] < -5.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_86" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_87" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -18.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_1h"] < -2.0) ): return True, f"exit_{mode_name}_d_10_88" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["ROC_9_1h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_10_89" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_10_90" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_10_91" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_10_92" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_15m"] < 50.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_10_93" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 45.0) and (last_candle["AROONU_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_10_94" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) and (isinstance(last_candle["AROONU_14_1d"], np.float64) and (last_candle["AROONU_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_10_95" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_1d"] < 45.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_96" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_10_97" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_3_15m"] > 74.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["RSI_3_1d"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_98" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 65.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_d_10_99" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_10_100" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 40.0)) ): return True, f"exit_{mode_name}_d_10_101" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_10_102" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 54.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_14_4h"] > 70.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 80.0)) ): return True, f"exit_{mode_name}_d_10_103" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_10_104" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_15m"] < 55.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_10_105" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_10_106" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["RSI_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_107" elif ( (last_candle["RSI_3"] > 58.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_d_10_108" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_10_109" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_3_4h"] < 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_10_110" elif ( (last_candle["RSI_3"] > 52.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["AROONU_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_10_111" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["RSI_3_4h"] < 35.0) and (last_candle["RSI_3_1d"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_10_112" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1d"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_10_113" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 30.0) ): return True, f"exit_{mode_name}_d_10_114" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_115" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_116" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["AROONU_14_1h"] > 80.0) and (last_candle["AROONU_14_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_10_117" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_10_118" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_10_119" elif ( (last_candle["RSI_3"] > 56.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_10_120" elif 0.2 > current_profit >= 0.12: if ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] < last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] < last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_11_1" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 74.0) and (last_candle["CMF_20_1h"] < -0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_11_2" elif ( (last_candle["WILLR_14"] > -2.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 99.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] < -10.0) ) ): return True, f"exit_{mode_name}_d_11_3" elif ( (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_11_4" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 76.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_11_5" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_11_6" elif ( (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_11_7" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 98.0) and (last_candle["CMF_20_1h"] < -0.1) and (last_candle["CMF_20_4h"] < -0.1) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_11_8" elif ( (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3"] > 95.0) and (last_candle["change_pct_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_11_9" elif ( (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] < -10.0) and (last_candle["ROC_9_4h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_11_10" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_14"] < 45.0) and (last_candle["ROC_9_15m"] < -10.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_11_11" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_1h"] < -20.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_11_12" elif (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["ROC_9_4h"] < -25.0): return True, f"exit_{mode_name}_d_11_13" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_11_14" elif (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_14"] > 70.0) and (last_candle["ROC_9_4h"] < -30.0): return True, f"exit_{mode_name}_d_11_15" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["AROONU_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["AROONU_14_1d"] > 50.0) and (last_candle["change_pct_1d"] < -15.0) ): return True, f"exit_{mode_name}_d_11_16" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_11_17" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["ROC_2_1d"] < -50.0) ): return True, f"exit_{mode_name}_d_11_18" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_14"] > 76.0) and (last_candle["RSI_3_4h"] < 10.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_11_19" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_11_20" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_11_21" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["change_pct_4h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_11_22" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_1d"] < 5.0) ): return True, f"exit_{mode_name}_d_11_23" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_14"] > 76.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_11_24" elif ( (last_candle["RSI_3"] > 97.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_11_25" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_11_26" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_11_27" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 10.0) and (last_candle["ROC_9_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_28" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_11_29" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) ): return True, f"exit_{mode_name}_d_11_30" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_11_31" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_11_32" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["ROC_2_1h"] < -10.0) and (last_candle["ROC_9_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_33" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_14_1h"] > 80.0) and (last_candle["ROC_9_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_11_34" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 75.0) ): return True, f"exit_{mode_name}_d_11_35" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_36" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_37" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_11_38" elif ( (last_candle["RSI_3"] > 97.0) and (last_candle["WILLR_14"] > -3.0) and (last_candle["CMF_20_4h"] < -0.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_11_39" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_11_40" elif ( (last_candle["RSI_3"] > 97.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_11_41" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_11_42" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_11_43" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_11_44" elif (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 10.0): return True, f"exit_{mode_name}_d_11_45" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_2_1d"] < -20.0) ): return True, f"exit_{mode_name}_d_11_46" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) ): return True, f"exit_{mode_name}_d_11_47" elif ( (last_candle["RSI_3"] > 75.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_48" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["change_pct_1d"] < -5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_11_49" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1d"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 90.0) ): return True, f"exit_{mode_name}_d_11_50" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_51" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_11_52" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_11_53" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["change_pct_1d"] < -10.0) ): return True, f"exit_{mode_name}_d_11_54" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["ROC_9_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_55" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) ): return True, f"exit_{mode_name}_d_11_56" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 32.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_d_11_57" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_58" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_11_59" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_14_4h"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_11_60" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_11_61" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) and (last_candle["change_pct_1d"] < -5.0) ): return True, f"exit_{mode_name}_d_11_62" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_11_63" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_11_64" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 15.0) ): return True, f"exit_{mode_name}_d_11_65" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_66" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_11_67" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_11_68" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["ROC_9_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_11_69" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_11_70" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_11_71" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_11_72" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_11_73" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_74" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_11_75" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["ROC_9_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_11_76" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_11_77" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["RSI_3_1d"] < 20.0) ): return True, f"exit_{mode_name}_d_11_78" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_11_79" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_11_80" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_11_81" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_11_82" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_11_83" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_11_84" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_85" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_14_4h"] > 80.0) and (last_candle["ROC_2_1h"] < -5.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_86" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_87" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -16.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_1h"] < -2.0) ): return True, f"exit_{mode_name}_d_11_88" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["ROC_9_1h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_11_89" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_11_90" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_11_91" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_11_92" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_15m"] < 50.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_11_93" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 45.0) and (last_candle["AROONU_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_11_94" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) and (isinstance(last_candle["AROONU_14_1d"], np.float64) and (last_candle["AROONU_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_11_95" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_1d"] < 45.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_96" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_11_97" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_3_15m"] > 76.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["RSI_3_1d"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_98" elif ( (last_candle["RSI_3"] > 64.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 65.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_d_11_99" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] > 80.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_11_100" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -12.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 40.0)) ): return True, f"exit_{mode_name}_d_11_101" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_11_102" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 52.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_14_4h"] > 70.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 80.0)) ): return True, f"exit_{mode_name}_d_11_103" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_11_104" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_15m"] < 55.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_11_105" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_11_106" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["RSI_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_107" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_d_11_108" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_11_109" elif ( (last_candle["RSI_3"] > 76.0) and (last_candle["RSI_3_4h"] < 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_11_110" elif ( (last_candle["RSI_3"] > 54.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["AROONU_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_11_111" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["WILLR_14"] > -15.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["RSI_3_4h"] < 35.0) and (last_candle["RSI_3_1d"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_11_112" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1d"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_11_113" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 30.0) ): return True, f"exit_{mode_name}_d_11_114" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_115" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_116" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["AROONU_14_1h"] > 80.0) and (last_candle["AROONU_14_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_11_117" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_11_118" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_11_119" elif ( (last_candle["RSI_3"] > 58.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_11_120" elif current_profit >= 0.2: if ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] < last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] < last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_12_1" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["CMF_20_1h"] < -0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_12_2" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 99.0) and (last_candle["CMF_20_1h"] < -0.0) and (last_candle["CMF_20_4h"] < -0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] < -10.0) ) ): return True, f"exit_{mode_name}_d_12_3" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] < last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] < last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_12_4" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["ROC_9_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_12_5" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 70.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_12_6" elif ( (last_candle["RSI_14"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_12_7" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 99.0) and (last_candle["CMF_20_1h"] < -0.1) and (last_candle["CMF_20_4h"] < -0.1) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_12_8" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3"] > 99.0) and (last_candle["change_pct_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_12_9" elif ( (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["ROC_9_1h"] < -10.0) and (last_candle["ROC_9_4h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_12_10" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] < 45.0) and (last_candle["ROC_9_15m"] < -10.0) and (last_candle["ROC_9_1h"] < -10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_12_11" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_1h"] < -20.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_12_12" elif (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["ROC_9_4h"] < -25.0): return True, f"exit_{mode_name}_d_12_13" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 5.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_12_14" elif (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] > 75.0) and (last_candle["ROC_9_4h"] < -30.0): return True, f"exit_{mode_name}_d_12_15" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["AROONU_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["AROONU_14_1d"] > 50.0) and (last_candle["change_pct_1d"] < -15.0) ): return True, f"exit_{mode_name}_d_12_16" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_12_17" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] > 80.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["ROC_2_1d"] < -50.0) ): return True, f"exit_{mode_name}_d_12_18" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["RSI_3_4h"] < 10.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_12_19" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_12_20" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_12_21" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["change_pct_4h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_12_22" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_1d"] < 5.0) ): return True, f"exit_{mode_name}_d_12_23" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_14"] > 78.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_12_24" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_12_25" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_d_12_26" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_12_27" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_15m"] < 10.0) and (last_candle["ROC_9_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_28" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_12_29" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) ): return True, f"exit_{mode_name}_d_12_30" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_12_31" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_12_32" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["ROC_2_1h"] < -10.0) and (last_candle["ROC_9_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_33" elif ( (last_candle["RSI_3"] > 65.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_14_1h"] > 80.0) and (last_candle["ROC_9_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_12_34" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 75.0) ): return True, f"exit_{mode_name}_d_12_35" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["ROC_9_4h"] < -25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_36" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_37" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_12_38" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["CMF_20_4h"] < -0.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_12_39" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_12_40" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_12_41" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 70.0) ) ): return True, f"exit_{mode_name}_d_12_42" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_12_43" elif ( (last_candle["RSI_3"] > 85.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_12_44" elif (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 10.0): return True, f"exit_{mode_name}_d_12_45" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["ROC_2_1d"] < -20.0) ): return True, f"exit_{mode_name}_d_12_46" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (last_candle["change_pct_1d"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -5.0)) ): return True, f"exit_{mode_name}_d_12_47" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_48" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["change_pct_1d"] < -5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_12_49" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1d"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 90.0) ): return True, f"exit_{mode_name}_d_12_50" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_51" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14"] > 66.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_12_52" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_12_53" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["change_pct_1d"] < -10.0) ): return True, f"exit_{mode_name}_d_12_54" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -8.0) and (last_candle["ROC_9_4h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_55" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) ): return True, f"exit_{mode_name}_d_12_56" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) ): return True, f"exit_{mode_name}_d_12_57" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_58" elif ( (last_candle["RSI_3"] > 95.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_12_59" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 34.0) and (last_candle["RSI_14_4h"] > 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_12_60" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -5.0) and (last_candle["RSI_3_4h"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) ): return True, f"exit_{mode_name}_d_12_61" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) and (last_candle["change_pct_1d"] < -5.0) ): return True, f"exit_{mode_name}_d_12_62" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_12_63" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_12_64" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 15.0) ): return True, f"exit_{mode_name}_d_12_65" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_66" elif ( (last_candle["RSI_3"] > 50.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_12_67" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["ROC_2_4h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_12_68" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["ROC_9_4h"] > 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_4h"] < -5.0) ): return True, f"exit_{mode_name}_d_12_69" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 34.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_12_70" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_12_71" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3_1h"] < 10.0) and (last_candle["AROONU_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_12_72" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 15.0) and (last_candle["ROC_9_4h"] < -20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_12_73" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["RSI_3_1d"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_74" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_12_75" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["ROC_9_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_12_76" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_12_77" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 20.0) and (last_candle["RSI_3_1d"] < 20.0) ): return True, f"exit_{mode_name}_d_12_78" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_12_79" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_12_80" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_12_81" elif ( (last_candle["RSI_3"] > 88.0) and (last_candle["WILLR_14"] > -4.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 15.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_12_82" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_12_83" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 20.0) ): return True, f"exit_{mode_name}_d_12_84" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 30.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_85" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14_4h"] > 80.0) and (last_candle["ROC_2_1h"] < -5.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_86" elif ( (last_candle["RSI_3"] > 72.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_87" elif ( (last_candle["RSI_3"] > 94.0) and (last_candle["WILLR_14"] > -14.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["change_pct_1h"] < -2.0) ): return True, f"exit_{mode_name}_d_12_88" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 34.0) and (last_candle["ROC_9_1h"] < -5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_12_89" elif ( (last_candle["RSI_3"] > 98.0) and (last_candle["WILLR_14"] > -25.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["AROONU_14_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_12_90" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 25.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 50.0) ) ): return True, f"exit_{mode_name}_d_12_91" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 25.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_12_92" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_15m"] < 50.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["AROONU_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_12_93" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 25.0) and (last_candle["RSI_3_4h"] < 45.0) and (last_candle["AROONU_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] > 90.0) ) ): return True, f"exit_{mode_name}_d_12_94" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -6.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 10.0) and (isinstance(last_candle["AROONU_14_1d"], np.float64) and (last_candle["AROONU_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_12_95" elif ( (last_candle["RSI_3"] > 68.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 45.0) and (last_candle["RSI_3_1d"] < 45.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_96" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) ): return True, f"exit_{mode_name}_d_12_97" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_3_15m"] > 78.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["RSI_3_1d"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_98" elif ( (last_candle["RSI_3"] > 66.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 65.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 80.0)) ): return True, f"exit_{mode_name}_d_12_99" elif ( (last_candle["RSI_3"] > 99.0) and (last_candle["RSI_14"] > 82.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_12_100" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 40.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 40.0)) ): return True, f"exit_{mode_name}_d_12_101" elif ( (last_candle["RSI_3"] > 74.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_12_102" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 50.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_14_4h"] > 70.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 80.0)) ): return True, f"exit_{mode_name}_d_12_103" elif ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_12_104" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_15m"] < 55.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_12_105" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["ROC_9_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_12_106" elif ( (last_candle["RSI_3"] > 80.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 70.0) and (last_candle["RSI_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_107" elif ( (last_candle["RSI_3"] > 62.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 80.0) ): return True, f"exit_{mode_name}_d_12_108" elif ( (last_candle["RSI_3"] > 82.0) and (last_candle["WILLR_14"] > -2.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 50.0)) ): return True, f"exit_{mode_name}_d_12_109" elif ( (last_candle["RSI_3"] > 78.0) and (last_candle["RSI_3_4h"] < 65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (last_candle["ROC_9_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_12_110" elif ( (last_candle["RSI_3"] > 56.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] > 70.0) and (last_candle["AROONU_14_1h"] > 75.0) and (last_candle["AROONU_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_12_111" elif ( (last_candle["RSI_3"] > 86.0) and (last_candle["WILLR_14"] > -10.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3_1h"] < 35.0) and (last_candle["RSI_3_4h"] < 35.0) and (last_candle["RSI_3_1d"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_12_112" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["WILLR_14"] > -1.0) and (last_candle["RSI_3_1d"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] > 10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_12_113" elif ( (last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 30.0) and (last_candle["RSI_3_1d"] < 30.0) ): return True, f"exit_{mode_name}_d_12_114" elif ( (last_candle["RSI_3"] > 84.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_115" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_3_1h"] < 15.0) and (last_candle["RSI_3_4h"] < 40.0) and (last_candle["AROONU_14_4h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_116" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["RSI_3_1h"] < 50.0) and (last_candle["AROONU_14_1h"] > 80.0) and (last_candle["AROONU_14_4h"] > 80.0) ): return True, f"exit_{mode_name}_d_12_117" elif ( (last_candle["RSI_3"] > 96.0) and (last_candle["RSI_3_1h"] < 20.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["AROONU_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_12_118" elif ( (last_candle["RSI_3"] > 92.0) and (last_candle["WILLR_14"] > -20.0) and (last_candle["RSI_3_1h"] < 60.0) and (last_candle["RSI_3_4h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 40.0) ): return True, f"exit_{mode_name}_d_12_119" elif ( (last_candle["RSI_3"] > 60.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["RSI_3_1h"] < 40.0) and (last_candle["AROONU_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_12_120" # Here ends exit signal conditions for long_exit_dec return False, None # Long Exit Stop Loss # --------------------------------------------------------------------------------------------- def long_exit_stoploss( self, mode_name: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", buy_tag, ) -> tuple: is_backtest = self.is_backtest_mode() if not self.stops_enable: return False, None # Stoploss doom if ( self.doom_stops_enable and ( profit_stake < -( filled_entries[0].cost * (self.stop_threshold_doom_futures if self.is_futures_mode else self.stop_threshold_doom_spot) ) ) and (self.has_valid_entry_conditions(trade, current_rate, last_candle, previous_candle_1) == False) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): return True, f"exit_{mode_name}_stoploss_doom" # Stoploss u_e if ( self.u_e_stops_enable and ( profit_stake < -( filled_entries[0].cost * (self.stop_threshold_futures if self.is_futures_mode else self.stop_threshold_spot) # / trade.leverage ) ) and (last_candle["close"] < last_candle["EMA_200"]) and (last_candle["CMF_20"] < -0.0) and (((last_candle["EMA_200"] - last_candle["close"]) / last_candle["close"]) < 0.010) and (last_candle["RSI_14"] > previous_candle_1["RSI_14"]) and (last_candle["RSI_14"] > (last_candle["RSI_14_1h"] + 24.0)) # and (current_time - timedelta(minutes=720) > trade.open_date_utc) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2025, 4, 3) or is_backtest) ): return True, f"exit_{mode_name}_stoploss_u_e" # Here ends exit signal conditions for long_exit_stoploss return False, None ############################################################################################### # LONG EXIT FUNCTIONS ENDS HERE ############################################################################################### # LONG GRIND FUNCTIONS STARTS HERE ############################################################################################### # # /$$ /$$$$$$ /$$ /$$ /$$$$$$ /$$$$$$ /$$$$$$$ /$$$$$$/$$ /$$/$$$$$$$ # | $$ /$$__ $| $$$ | $$/$$__ $$ /$$__ $| $$__ $|_ $$_| $$$ | $| $$__ $$ # | $$ | $$ \ $| $$$$| $| $$ \__/ | $$ \__| $$ \ $$ | $$ | $$$$| $| $$ \ $$ # | $$ | $$ | $| $$ $$ $| $$ /$$$$ | $$ /$$$| $$$$$$$/ | $$ | $$ $$ $| $$ | $$ # | $$ | $$ | $| $$ $$$| $$|_ $$ | $$|_ $| $$__ $$ | $$ | $$ $$$| $$ | $$ # | $$ | $$ | $| $$\ $$| $$ \ $$ | $$ \ $| $$ \ $$ | $$ | $$\ $$| $$ | $$ # | $$$$$$$| $$$$$$| $$ \ $| $$$$$$/ | $$$$$$| $$ | $$/$$$$$| $$ \ $| $$$$$$$/ # |________/\______/|__/ \__/\______/ \______/|__/ |__|______|__/ \__|_______/ # # Long Grinding Adjust Trade Position v2 # --------------------------------------------------------------------------------------------- def long_grind_adjust_trade_position_v2( self, trade: Trade, enter_tags, current_time: datetime, current_rate: float, current_profit: float, min_stake: Optional[float], max_stake: float, current_entry_rate: float, current_exit_rate: float, current_entry_profit: float, current_exit_profit: float, **kwargs, ): is_backtest = self.is_backtest_mode() min_stake = self.correct_min_stake(min_stake) # min/max stakes include leverage. The return amounts is before leverage. min_stake /= trade.leverage max_stake /= trade.leverage df, _ = self.dp.get_analyzed_dataframe(trade.pair, self.timeframe) if len(df) < 2: return None last_candle = df.iloc[-1].squeeze() previous_candle = df.iloc[-2].squeeze() # we already waiting for an order to get filled if trade.has_open_orders: return None filled_orders = trade.select_filled_orders() filled_entries = trade.select_filled_orders(trade.entry_side) filled_exits = trade.select_filled_orders(trade.exit_side) count_of_entries = trade.nr_of_successful_entries count_of_exits = trade.nr_of_successful_exits exit_rate = current_rate if self.dp.runmode.value in ("live", "dry_run"): ticker = self.dp.ticker(trade.pair) if ("bid" in ticker) and ("ask" in ticker): if trade.is_short: if self.config["exit_pricing"]["price_side"] in ["ask", "other"]: if ticker["ask"] is not None: exit_rate = ticker["ask"] else: if self.config["exit_pricing"]["price_side"] in ["bid", "other"]: if ticker["bid"] is not None: exit_rate = ticker["bid"] profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio = self.calc_total_profit( trade, filled_entries, filled_exits, exit_rate ) current_stake_amount = trade.amount * exit_rate slice_amount = filled_entries[0].cost slice_profit = (exit_rate - filled_orders[-1].safe_price) / filled_orders[-1].safe_price slice_profit_entry = (exit_rate - filled_entries[-1].safe_price) / filled_entries[-1].safe_price slice_profit_exit = ( ((exit_rate - filled_exits[-1].safe_price) / filled_exits[-1].safe_price) if count_of_exits > 0 else 0.0 ) has_order_tags = False if hasattr(filled_orders[0], "ft_order_tag"): has_order_tags = True fee_open_rate = trade.fee_open if self.custom_fee_open_rate is None else self.custom_fee_open_rate fee_close_rate = trade.fee_close if self.custom_fee_close_rate is None else self.custom_fee_close_rate is_long_buyback_entry = self.long_buyback_entry_v2(last_candle, previous_candle, slice_profit, True) is_long_grind_entry = self.long_grind_entry_v2(last_candle, previous_candle, slice_profit, True) grind_1_max_sub_grinds = 0 grind_1_stakes = ( self.grinding_v2_grind_1_stakes_futures.copy() if self.is_futures_mode else self.grinding_v2_grind_1_stakes_spot.copy() ) grind_1_sub_thresholds = ( self.grinding_v2_grind_1_thresholds_futures if self.is_futures_mode else self.grinding_v2_grind_1_thresholds_spot ) if (slice_amount * grind_1_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_1_stakes[0] * trade.leverage for i, _ in enumerate(grind_1_stakes): grind_1_stakes[i] *= multi grind_1_max_sub_grinds = len(grind_1_stakes) grind_1_derisk_grinds = ( self.grinding_v2_grind_1_derisk_futures if self.is_futures_mode else self.grinding_v2_grind_1_derisk_spot ) grind_1_profit_threshold = ( self.grinding_v2_grind_1_profit_threshold_futures if self.is_futures_mode else self.grinding_v2_grind_1_profit_threshold_spot ) grind_2_max_sub_grinds = 0 grind_2_stakes = ( self.grinding_v2_grind_2_stakes_futures.copy() if self.is_futures_mode else self.grinding_v2_grind_2_stakes_spot.copy() ) grind_2_sub_thresholds = ( self.grinding_v2_grind_2_thresholds_futures if self.is_futures_mode else self.grinding_v2_grind_2_thresholds_spot ) if (slice_amount * grind_2_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_2_stakes[0] * trade.leverage for i, _ in enumerate(grind_2_stakes): grind_2_stakes[i] *= multi grind_2_max_sub_grinds = len(grind_2_stakes) grind_2_derisk_grinds = ( self.grinding_v2_grind_2_derisk_futures if self.is_futures_mode else self.grinding_v2_grind_2_derisk_spot ) grind_2_profit_threshold = ( self.grinding_v2_grind_2_profit_threshold_futures if self.is_futures_mode else self.grinding_v2_grind_2_profit_threshold_spot ) grind_3_max_sub_grinds = 0 grind_3_stakes = ( self.grinding_v2_grind_3_stakes_futures.copy() if self.is_futures_mode else self.grinding_v2_grind_3_stakes_spot.copy() ) grind_3_sub_thresholds = ( self.grinding_v2_grind_3_thresholds_futures if self.is_futures_mode else self.grinding_v2_grind_3_thresholds_spot ) if (slice_amount * grind_3_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_3_stakes[0] * trade.leverage for i, _ in enumerate(grind_3_stakes): grind_3_stakes[i] *= multi grind_3_max_sub_grinds = len(grind_3_stakes) grind_3_derisk_grinds = ( self.grinding_v2_grind_3_derisk_futures if self.is_futures_mode else self.grinding_v2_grind_3_derisk_spot ) grind_3_profit_threshold = ( self.grinding_v2_grind_3_profit_threshold_futures if self.is_futures_mode else self.grinding_v2_grind_3_profit_threshold_spot ) is_derisk_1 = False is_derisk_1_found = False # derisk_level_1 de-risk exit derisk_1_order = None is_derisk_2 = False is_derisk_2_found = False # derisk_level_2 de-risk exit derisk_2_order = None is_derisk_3 = False is_derisk_3_found = False # derisk_level_3 de-risk exit derisk_3_order = None buyback_1_sub_grind_count = 0 buyback_1_total_amount = 0.0 buyback_1_total_cost = 0.0 buyback_1_current_open_rate = 0.0 buyback_1_current_grind_stake = 0.0 buyback_1_current_grind_stake_profit = 0.0 buyback_1_is_exit_found = False buyback_1_found = False buyback_1_buy_orders = [] buyback_1_distance_ratio = 0.0 buyback_1_exit_order = None buyback_1_exit_distance_ratio = 0.0 buyback_2_sub_grind_count = 0 buyback_2_total_amount = 0.0 buyback_2_total_cost = 0.0 buyback_2_current_open_rate = 0.0 buyback_2_current_grind_stake = 0.0 buyback_2_current_grind_stake_profit = 0.0 buyback_2_is_exit_found = False buyback_2_found = False buyback_2_buy_orders = [] buyback_2_distance_ratio = 0.0 buyback_2_exit_order = None buyback_2_exit_distance_ratio = 0.0 buyback_3_sub_grind_count = 0 buyback_3_total_amount = 0.0 buyback_3_total_cost = 0.0 buyback_3_current_open_rate = 0.0 buyback_3_current_grind_stake = 0.0 buyback_3_current_grind_stake_profit = 0.0 buyback_3_is_exit_found = False buyback_3_found = False buyback_3_buy_orders = [] buyback_3_distance_ratio = 0.0 buyback_3_exit_order = None buyback_3_exit_distance_ratio = 0.0 grind_1_sub_grind_count = 0 grind_1_total_amount = 0.0 grind_1_total_cost = 0.0 grind_1_current_open_rate = 0.0 grind_1_current_grind_stake = 0.0 grind_1_current_grind_stake_profit = 0.0 grind_1_is_exit_found = False grind_1_found = False grind_1_buy_orders = [] grind_1_distance_ratio = 0.0 grind_1_exit_order = None grind_1_exit_distance_ratio = 0.0 grind_2_sub_grind_count = 0 grind_2_total_amount = 0.0 grind_2_total_cost = 0.0 grind_2_current_open_rate = 0.0 grind_2_current_grind_stake = 0.0 grind_2_current_grind_stake_profit = 0.0 grind_2_is_exit_found = False grind_2_found = False grind_2_buy_orders = [] grind_2_distance_ratio = 0.0 grind_2_exit_order = None grind_2_exit_distance_ratio = 0.0 grind_3_sub_grind_count = 0 grind_3_total_amount = 0.0 grind_3_total_cost = 0.0 grind_3_current_open_rate = 0.0 grind_3_current_grind_stake = 0.0 grind_3_current_grind_stake_profit = 0.0 grind_3_is_exit_found = False grind_3_found = False grind_3_buy_orders = [] grind_3_distance_ratio = 0.0 grind_3_exit_order = None grind_3_exit_distance_ratio = 0.0 for order in reversed(filled_orders): if (order.ft_order_side == "buy") and (order is not filled_orders[0]): order_tag = "" if has_order_tags: if order.ft_order_tag is not None: order_tag = order.ft_order_tag if not buyback_1_is_exit_found and order_tag == "buyback_1_entry": buyback_1_sub_grind_count += 1 buyback_1_total_amount += order.safe_filled buyback_1_total_cost += order.safe_filled * order.safe_price buyback_1_buy_orders.append(order.id) if not buyback_1_found: buyback_1_distance_ratio = (exit_rate - order.safe_price) / order.safe_price buyback_1_found = True elif not buyback_2_is_exit_found and order_tag == "buyback_2_entry": buyback_2_sub_grind_count += 1 buyback_2_total_amount += order.safe_filled buyback_2_total_cost += order.safe_filled * order.safe_price buyback_2_buy_orders.append(order.id) if not buyback_2_found: buyback_2_distance_ratio = (exit_rate - order.safe_price) / order.safe_price buyback_2_found = True elif not buyback_3_is_exit_found and order_tag == "buyback_3_entry": buyback_3_sub_grind_count += 1 buyback_3_total_amount += order.safe_filled buyback_3_total_cost += order.safe_filled * order.safe_price buyback_3_buy_orders.append(order.id) if not buyback_3_found: buyback_3_distance_ratio = (exit_rate - order.safe_price) / order.safe_price buyback_3_found = True elif not grind_1_is_exit_found and order_tag == "grind_1_entry": grind_1_sub_grind_count += 1 grind_1_total_amount += order.safe_filled grind_1_total_cost += order.safe_filled * order.safe_price grind_1_buy_orders.append(order.id) if not grind_1_found: grind_1_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_1_found = True elif not grind_2_is_exit_found and order_tag == "grind_2_entry": grind_2_sub_grind_count += 1 grind_2_total_amount += order.safe_filled grind_2_total_cost += order.safe_filled * order.safe_price grind_2_buy_orders.append(order.id) if not grind_2_found: grind_2_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_2_found = True elif not grind_3_is_exit_found and order_tag == "grind_3_entry": grind_3_sub_grind_count += 1 grind_3_total_amount += order.safe_filled grind_3_total_cost += order.safe_filled * order.safe_price grind_3_buy_orders.append(order.id) if not grind_3_found: grind_3_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_3_found = True elif order.ft_order_side == "sell": if ( order is filled_exits[-1] and (order.safe_remaining * exit_rate / (trade.leverage if self.is_futures_mode else 1.0)) > min_stake ): partial_sell = True # break order_tag = "" if has_order_tags: if order.ft_order_tag is not None: sell_order_tag = order.ft_order_tag order_mode = sell_order_tag.split(" ", 1) if len(order_mode) > 0: order_tag = order_mode[0] if order_tag in ["derisk_level_1", "d"]: if not is_derisk_1_found: is_derisk_1_found = True is_derisk_1 = True derisk_1_order = order elif order_tag in ["derisk_level_2"]: if not is_derisk_2_found: is_derisk_2_found = True is_derisk_2 = True derisk_2_order = order elif order_tag in ["derisk_level_3"]: if not is_derisk_3_found: is_derisk_3_found = True is_derisk_3 = True derisk_3_order = order elif not buyback_1_is_exit_found and order_tag in ["buyback_1_exit", "buyback_1_derisk"]: buyback_1_is_exit_found = True buyback_1_exit_order = order elif not buyback_2_is_exit_found and order_tag in ["buyback_2_exit", "buyback_2_derisk"]: buyback_2_is_exit_found = True buyback_2_exit_order = order elif not buyback_3_is_exit_found and order_tag in ["buyback_3_exit", "buyback_3_derisk"]: buyback_3_is_exit_found = True buyback_3_exit_order = order elif not grind_1_is_exit_found and order_tag in ["grind_1_exit", "grind_1_derisk"]: grind_1_is_exit_found = True grind_1_exit_order = order elif not grind_2_is_exit_found and order_tag in ["grind_2_exit", "grind_2_derisk"]: grind_2_is_exit_found = True grind_2_exit_order = order elif not grind_3_is_exit_found and order_tag in ["grind_3_exit", "grind_3_derisk"]: grind_3_is_exit_found = True grind_3_exit_order = order elif order_tag in ["derisk_global"]: if not buyback_1_is_exit_found: buyback_1_is_exit_found = True buyback_1_exit_order = order if not buyback_2_is_exit_found: buyback_2_is_exit_found = True buyback_2_exit_order = order if not buyback_3_is_exit_found: buyback_3_is_exit_found = True buyback_3_exit_order = order if not grind_1_is_exit_found: grind_1_is_exit_found = True grind_1_exit_order = order if not grind_2_is_exit_found: grind_2_is_exit_found = True grind_2_exit_order = order if not grind_3_is_exit_found: grind_3_is_exit_found = True grind_3_exit_order = order if buyback_1_sub_grind_count > 0: buyback_1_current_open_rate = buyback_1_total_cost / buyback_1_total_amount buyback_1_current_grind_stake = buyback_1_total_amount * exit_rate * (1 - trade.fee_close) buyback_1_current_grind_stake_profit = buyback_1_current_grind_stake - buyback_1_total_cost if buyback_2_sub_grind_count > 0: buyback_2_current_open_rate = buyback_2_total_cost / buyback_2_total_amount buyback_2_current_grind_stake = buyback_2_total_amount * exit_rate * (1 - trade.fee_close) buyback_2_current_grind_stake_profit = buyback_2_current_grind_stake - buyback_2_total_cost if buyback_3_sub_grind_count > 0: buyback_3_current_open_rate = buyback_3_total_cost / buyback_3_total_amount buyback_3_current_grind_stake = buyback_3_total_amount * exit_rate * (1 - trade.fee_close) buyback_3_current_grind_stake_profit = buyback_3_current_grind_stake - buyback_3_total_cost if grind_1_sub_grind_count > 0: grind_1_current_open_rate = grind_1_total_cost / grind_1_total_amount grind_1_current_grind_stake = grind_1_total_amount * exit_rate * (1 - trade.fee_close) grind_1_current_grind_stake_profit = grind_1_current_grind_stake - grind_1_total_cost if grind_2_sub_grind_count > 0: grind_2_current_open_rate = grind_2_total_cost / grind_2_total_amount grind_2_current_grind_stake = grind_2_total_amount * exit_rate * (1 - trade.fee_close) grind_2_current_grind_stake_profit = grind_2_current_grind_stake - grind_2_total_cost if grind_3_sub_grind_count > 0: grind_3_current_open_rate = grind_3_total_cost / grind_3_total_amount grind_3_current_grind_stake = grind_3_total_amount * exit_rate * (1 - trade.fee_close) grind_3_current_grind_stake_profit = grind_3_current_grind_stake - grind_3_total_cost if grind_1_is_exit_found: grind_1_exit_distance_ratio = (exit_rate - grind_1_exit_order.safe_price) / grind_1_exit_order.safe_price if grind_2_is_exit_found: grind_2_exit_distance_ratio = (exit_rate - grind_2_exit_order.safe_price) / grind_2_exit_order.safe_price if grind_3_is_exit_found: grind_3_exit_distance_ratio = (exit_rate - grind_3_exit_order.safe_price) / grind_3_exit_order.safe_price if buyback_1_is_exit_found: buyback_1_exit_distance_ratio = (exit_rate - buyback_1_exit_order.safe_price) / buyback_1_exit_order.safe_price elif is_derisk_1_found: buyback_1_exit_distance_ratio = (exit_rate - derisk_1_order.safe_price) / derisk_1_order.safe_price if buyback_2_is_exit_found: buyback_2_exit_distance_ratio = (exit_rate - buyback_2_exit_order.safe_price) / buyback_2_exit_order.safe_price elif is_derisk_2_found: buyback_2_exit_distance_ratio = (exit_rate - derisk_2_order.safe_price) / derisk_2_order.safe_price if buyback_3_is_exit_found: buyback_3_exit_distance_ratio = (exit_rate - buyback_3_exit_order.safe_price) / buyback_3_exit_order.safe_price elif is_derisk_3_found: buyback_3_exit_distance_ratio = (exit_rate - derisk_3_order.safe_price) / derisk_3_order.safe_price # all buybacks & grinds current_open_grind_stake_profit = ( buyback_1_current_grind_stake_profit + buyback_2_current_grind_stake_profit + buyback_3_current_grind_stake_profit + grind_1_current_grind_stake_profit + grind_2_current_grind_stake_profit + grind_3_current_grind_stake_profit ) # De-risk level 1 if ( self.derisk_enable and self.grinding_v2_derisk_level_1_enable and (not is_derisk_1_found) and ( profit_stake < ( slice_amount * (self.grinding_v2_derisk_level_1_futures if self.is_futures_mode else self.grinding_v2_derisk_level_1_spot) ) ) ): sell_amount = ( ( filled_entries[0].safe_filled * ( self.grinding_v2_derisk_level_1_stake_futures if self.is_futures_mode else self.grinding_v2_derisk_level_1_stake_spot ) ) * exit_rate / trade.leverage ) if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"De-risk Level 1 [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"De-risk Level 1 [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) return -ft_sell_amount, "derisk_level_1" # De-risk level 2 if ( self.derisk_enable and self.grinding_v2_derisk_level_2_enable and (not is_derisk_2_found) and ( profit_stake < ( slice_amount * (self.grinding_v2_derisk_level_2_futures if self.is_futures_mode else self.grinding_v2_derisk_level_2_spot) ) ) ): sell_amount = ( ( filled_entries[0].safe_filled * ( self.grinding_v2_derisk_level_2_stake_futures if self.is_futures_mode else self.grinding_v2_derisk_level_2_stake_spot ) ) * exit_rate / trade.leverage ) if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"De-risk Level 2 [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"De-risk Level 2 [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) return -ft_sell_amount, "derisk_level_2" # De-risk level 3 if ( self.derisk_enable and self.grinding_v2_derisk_level_3_enable and (not is_derisk_3_found) and ( profit_stake < ( slice_amount * (self.grinding_v2_derisk_level_3_futures if self.is_futures_mode else self.grinding_v2_derisk_level_3_spot) ) ) ): sell_amount = ( ( filled_entries[0].safe_filled * ( self.grinding_v2_derisk_level_3_stake_futures if self.is_futures_mode else self.grinding_v2_derisk_level_3_stake_spot ) ) * exit_rate / trade.leverage ) if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"De-risk Level 3 [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"De-risk Level 3 [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) return -ft_sell_amount, "derisk_level_3" # De-risk global if ( self.grinding_v2_derisk_global_enable and is_derisk_1_found and ( current_open_grind_stake_profit < ( slice_amount * (self.grinding_v2_derisk_global_futures if self.is_futures_mode else self.grinding_v2_derisk_global_spot) ) ) ): sell_amount = trade.amount * exit_rate / trade.leverage - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"De-risk Global [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"De-risk Global [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) return -ft_sell_amount, "derisk_global" # Grinding 1 if ( (self.grinding_v2_grind_1_enable) and (is_derisk_1_found or is_derisk_2_found or is_derisk_3_found) and is_long_grind_entry and (current_time - timedelta(minutes=5) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (current_stake_amount < (filled_entries[0].cost * 0.50)) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) and (grind_1_sub_grind_count < grind_1_max_sub_grinds) and (grind_1_sub_grind_count == 0 or (grind_1_distance_ratio < grind_1_sub_thresholds[grind_1_sub_grind_count])) ): if current_stake_amount < (filled_entries[0].cost * self.grinding_v2_max_stake): buy_amount = slice_amount * grind_1_stakes[grind_1_sub_grind_count] / trade.leverage if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None self.dp.send_msg( f"Grinding entry (grind_1_entry) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Grinding entry (grind_1_entry) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "grind_1_entry" if has_order_tags: return buy_amount, order_tag else: return buy_amount if grind_1_sub_grind_count > 0: grind_profit = (exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate if (grind_profit > (grind_1_profit_threshold + fee_open_rate + fee_close_rate)) and self.long_grind_exit_v2( last_candle, previous_candle, slice_profit, True ): sell_amount = grind_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (grind_1_exit) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (grind_1_exit) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "grind_1_exit" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # if (grind_1_sub_grind_count > 0) and (((exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate) < grind_1_derisk_grinds): if ( self.grinding_v2_grind_1_use_derisk and (grind_1_sub_grind_count > 0) and (grind_1_current_grind_stake_profit < (slice_amount * grind_1_derisk_grinds)) ): sell_amount = grind_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_1_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate) if grind_1_is_exit_found else profit_ratio ) self.dp.send_msg( f"Grinding de-risk (grind_1_derisk) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding de-risk (grind_1_derisk) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "grind_1_derisk" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 2 if ( (self.grinding_v2_grind_2_enable) and (is_derisk_1_found or is_derisk_2_found or is_derisk_3_found) and is_long_grind_entry and (current_time - timedelta(minutes=5) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (current_stake_amount < (filled_entries[0].cost * 0.50)) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) and (grind_2_sub_grind_count < grind_2_max_sub_grinds) and (grind_2_sub_grind_count == 0 or (grind_2_distance_ratio < grind_2_sub_thresholds[grind_2_sub_grind_count])) ): if current_stake_amount < (filled_entries[0].cost * self.grinding_v2_max_stake): buy_amount = slice_amount * grind_2_stakes[grind_2_sub_grind_count] / trade.leverage if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None self.dp.send_msg( f"Grinding entry (grind_2_entry) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Grinding entry (grind_2_entry) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "grind_2_entry" if has_order_tags: return buy_amount, order_tag else: return buy_amount if grind_2_sub_grind_count > 0: grind_profit = (exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate if (grind_profit > (grind_2_profit_threshold + fee_open_rate + fee_close_rate)) and self.long_grind_exit_v2( last_candle, previous_candle, slice_profit, True ): sell_amount = grind_2_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (grind_2_exit) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (grind_2_exit) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "grind_2_exit" for grind_entry_id in grind_2_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # if (grind_2_sub_grind_count > 0) and (((exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate) < grind_2_derisk_grinds): if ( self.grinding_v2_grind_2_use_derisk and (grind_2_sub_grind_count > 0) and (grind_2_current_grind_stake_profit < (slice_amount * grind_2_derisk_grinds)) ): sell_amount = grind_2_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_2_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate) if grind_2_is_exit_found else profit_ratio ) self.dp.send_msg( f"Grinding de-risk (grind_2_derisk) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding de-risk (grind_2_derisk) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "grind_2_derisk" for grind_entry_id in grind_2_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 3 if ( (self.grinding_v2_grind_3_enable) and (is_derisk_1_found or is_derisk_2_found or is_derisk_3_found) and is_long_grind_entry and (current_time - timedelta(minutes=5) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (current_stake_amount < (filled_entries[0].cost * 0.50)) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) and (grind_3_sub_grind_count < grind_3_max_sub_grinds) and (grind_3_sub_grind_count == 0 or (grind_3_distance_ratio < grind_3_sub_thresholds[grind_3_sub_grind_count])) ): if current_stake_amount < (filled_entries[0].cost * self.grinding_v2_max_stake): buy_amount = slice_amount * grind_3_stakes[grind_3_sub_grind_count] / trade.leverage if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None self.dp.send_msg( f"Grinding entry (grind_3_entry) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Grinding entry (grind_3_entry) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "grind_3_entry" if has_order_tags: return buy_amount, order_tag else: return buy_amount if grind_3_sub_grind_count > 0: grind_profit = (exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate if (grind_profit > (grind_3_profit_threshold + fee_open_rate + fee_close_rate)) and self.long_grind_exit_v2( last_candle, previous_candle, slice_profit, True ): sell_amount = grind_3_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (grind_3_exit) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (grind_3_exit) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "grind_3_exit" for grind_entry_id in grind_3_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # if (grind_3_sub_grind_count > 0) and (((exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate) < grind_3_derisk_grinds): if ( self.grinding_v2_grind_3_use_derisk and (grind_3_sub_grind_count > 0) and (grind_3_current_grind_stake_profit < (slice_amount * grind_3_derisk_grinds)) ): sell_amount = grind_3_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_3_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate) if grind_3_is_exit_found else profit_ratio ) self.dp.send_msg( f"Grinding de-risk (grind_3_derisk) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding de-risk (grind_3_derisk) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "grind_3_derisk" for grind_entry_id in grind_3_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Buyback 1 if ( self.grinding_v2_buyback_1_enable and is_derisk_1_found and is_long_buyback_entry and (current_time - timedelta(minutes=5) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (current_stake_amount < (filled_entries[0].cost * 0.50)) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) and (buyback_1_current_open_rate == 0) and ( buyback_1_exit_distance_ratio < ( self.grinding_v2_buyback_1_distance_ratio_futures if self.is_futures_mode else self.grinding_v2_buyback_1_distance_ratio_spot ) ) ): if current_stake_amount < (filled_entries[0].cost * self.grinding_v2_max_stake): buy_amount = ( slice_amount * ( self.grinding_v2_buyback_1_stake_futures if self.is_futures_mode else self.grinding_v2_buyback_1_stake_spot ) / trade.leverage ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None self.dp.send_msg( f"Buyback entry (buyback_1_entry) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Buyback entry (buyback_1_entry) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "buyback_1_entry" if has_order_tags: return buy_amount, order_tag else: return buy_amount # if buyback_1_sub_grind_count > 0: # grind_profit = (exit_rate - buyback_1_current_open_rate) / buyback_1_current_open_rate # if ( # grind_profit # > ( # ( # self.grinding_v2_buyback_1_profit_threshold_futures # if self.is_futures_mode # else self.grinding_v2_buyback_1_profit_threshold_spot # ) # + fee_open_rate # + fee_close_rate # ) # ) and self.long_grind_exit_v2(last_candle, previous_candle, slice_profit, True): # sell_amount = buyback_1_total_amount * exit_rate / trade.leverage # if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): # sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) # ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate # if sell_amount > min_stake and ft_sell_amount > min_stake: # self.dp.send_msg( # f"Buyback exit (buyback_1_exit) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" # ) # log.info( # f"Buyback exit (buyback_1_exit) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" # ) # order_tag = "buyback_1_exit" # for grind_entry_id in buyback_1_buy_orders: # order_tag += " " + str(grind_entry_id) # if has_order_tags: # return -ft_sell_amount, order_tag # else: # return -ft_sell_amount # if (buyback_1_sub_grind_count > 0) and (((exit_rate - buyback_1_current_open_rate) / buyback_1_current_open_rate) < (self.grinding_v2_buyback_1_derisk_futures if self.is_futures_mode else self.grinding_v2_buyback_1_derisk_spot)): if ( self.grinding_v2_buyback_1_use_derisk and (buyback_1_sub_grind_count > 0) and ( buyback_1_current_grind_stake_profit < ( slice_amount * ( self.grinding_v2_buyback_1_derisk_futures if self.is_futures_mode else self.grinding_v2_buyback_1_derisk_spot ) ) ) ): sell_amount = buyback_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if buyback_1_current_open_rate > 0.0: grind_profit = ( ((exit_rate - buyback_1_current_open_rate) / buyback_1_current_open_rate) if buyback_1_is_exit_found else profit_ratio ) self.dp.send_msg( f"Buyback de-risk (buyback_1_derisk) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Buyback de-risk (buyback_1_derisk) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "buyback_1_derisk" for grind_entry_id in buyback_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # # Buyback 2 if ( self.grinding_v2_buyback_2_enable and is_derisk_2_found and is_long_buyback_entry and (current_time - timedelta(minutes=5) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (current_stake_amount < (filled_entries[0].cost * 0.50)) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) and (buyback_2_current_open_rate == 0) and ( buyback_2_exit_distance_ratio < ( self.grinding_v2_buyback_2_distance_ratio_futures if self.is_futures_mode else self.grinding_v2_buyback_2_distance_ratio_spot ) ) ): if current_stake_amount < (filled_entries[0].cost * self.grinding_v2_max_stake): buy_amount = ( slice_amount * ( self.grinding_v2_buyback_2_stake_futures if self.is_futures_mode else self.grinding_v2_buyback_2_stake_spot ) / trade.leverage ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None self.dp.send_msg( f"Buyback entry (buyback_2_entry) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Buyback entry (buyback_2_entry) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "buyback_2_entry" if has_order_tags: return buy_amount, order_tag else: return buy_amount # if buyback_2_sub_grind_count > 0: # grind_profit = (exit_rate - buyback_2_current_open_rate) / buyback_2_current_open_rate # if ( # grind_profit # > ( # ( # self.grinding_v2_buyback_2_profit_threshold_futures # if self.is_futures_mode # else self.grinding_v2_buyback_2_profit_threshold_spot # ) # + fee_open_rate # + fee_close_rate # ) # ) and self.long_grind_exit_v2(last_candle, previous_candle, slice_profit, True): # sell_amount = buyback_2_total_amount * exit_rate / trade.leverage # if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): # sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) # ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate # if sell_amount > min_stake and ft_sell_amount > min_stake: # self.dp.send_msg( # f"Buyback exit (buyback_2_exit) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" # ) # log.info( # f"Buyback exit (buyback_2_exit) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" # ) # order_tag = "buyback_2_exit" # for grind_entry_id in buyback_2_buy_orders: # order_tag += " " + str(grind_entry_id) # if has_order_tags: # return -ft_sell_amount, order_tag # else: # return -ft_sell_amount # if (buyback_2_sub_grind_count > 0) and (((exit_rate - buyback_2_current_open_rate) / buyback_2_current_open_rate) < (self.grinding_v2_buyback_2_derisk_futures if self.is_futures_mode else self.grinding_v2_buyback_2_derisk_spot)): if ( self.grinding_v2_buyback_2_use_derisk and (buyback_2_sub_grind_count > 0) and ( buyback_2_current_grind_stake_profit < ( slice_amount * ( self.grinding_v2_buyback_2_derisk_futures if self.is_futures_mode else self.grinding_v2_buyback_2_derisk_spot ) ) ) ): sell_amount = buyback_2_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if buyback_2_current_open_rate > 0.0: grind_profit = ( ((exit_rate - buyback_2_current_open_rate) / buyback_2_current_open_rate) if buyback_2_is_exit_found else profit_ratio ) self.dp.send_msg( f"Buyback de-risk (buyback_2_derisk) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Buyback de-risk (buyback_2_derisk) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "buyback_2_derisk" for grind_entry_id in buyback_2_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # # Buyback 3 if ( self.grinding_v2_buyback_3_enable and is_derisk_3_found and is_long_buyback_entry and (current_time - timedelta(minutes=5) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (current_stake_amount < (filled_entries[0].cost * 0.50)) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) and (buyback_3_current_open_rate == 0) and ( buyback_3_exit_distance_ratio < ( self.grinding_v2_buyback_3_distance_ratio_futures if self.is_futures_mode else self.grinding_v2_buyback_3_distance_ratio_spot ) ) ): if current_stake_amount < (filled_entries[0].cost * self.grinding_v2_max_stake): buy_amount = ( slice_amount * ( self.grinding_v2_buyback_3_stake_futures if self.is_futures_mode else self.grinding_v2_buyback_3_stake_spot ) / trade.leverage ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None self.dp.send_msg( f"Buyback entry (buyback_3_entry) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Buyback entry (buyback_3_entry) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "buyback_3_entry" if has_order_tags: return buy_amount, order_tag else: return buy_amount # if buyback_3_sub_grind_count > 0: # grind_profit = (exit_rate - buyback_3_current_open_rate) / buyback_3_current_open_rate # if ( # grind_profit # > ( # ( # self.grinding_v2_buyback_3_profit_threshold_futures # if self.is_futures_mode # else self.grinding_v2_buyback_3_profit_threshold_spot # ) # + fee_open_rate # + fee_close_rate # ) # ) and self.long_grind_exit_v2(last_candle, previous_candle, slice_profit, True): # sell_amount = buyback_3_total_amount * exit_rate / trade.leverage # if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): # sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) # ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate # if sell_amount > min_stake and ft_sell_amount > min_stake: # self.dp.send_msg( # f"Buyback exit (buyback_3_exit) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" # ) # log.info( # f"Buyback exit (buyback_3_exit) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" # ) # order_tag = "buyback_3_exit" # for grind_entry_id in buyback_3_buy_orders: # order_tag += " " + str(grind_entry_id) # if has_order_tags: # return -ft_sell_amount, order_tag # else: # return -ft_sell_amount # if (buyback_3_sub_grind_count > 0) and (((exit_rate - buyback_3_current_open_rate) / buyback_3_current_open_rate) < (self.grinding_v2_buyback_3_derisk_futures if self.is_futures_mode else self.grinding_v2_buyback_3_derisk_spot)): if ( self.grinding_v2_buyback_3_use_derisk and (buyback_3_sub_grind_count > 0) and ( buyback_3_current_grind_stake_profit < ( slice_amount * ( self.grinding_v2_buyback_3_derisk_futures if self.is_futures_mode else self.grinding_v2_buyback_3_derisk_spot ) ) ) ): sell_amount = buyback_3_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if buyback_3_current_open_rate > 0.0: grind_profit = ( ((exit_rate - buyback_3_current_open_rate) / buyback_3_current_open_rate) if buyback_3_is_exit_found else profit_ratio ) self.dp.send_msg( f"Buyback de-risk (buyback_3_derisk) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Buyback de-risk (buyback_3_derisk) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "buyback_3_derisk" for grind_entry_id in buyback_3_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount return None def long_buyback_entry_v2( self, last_candle: Series, previous_candle: Series, slice_profit: float, is_derisk: bool ) -> float: if ( (last_candle["enter_long"] == True) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3"] > 20.0) and (last_candle["RSI_3_15m"] > 30.0) and (last_candle["RSI_3_1h"] > 30.0) and (last_candle["RSI_3_4h"] > 30.0) and (last_candle["AROONU_14"] < 25.0) and (last_candle["ROC_2_1h"] > -5.0) and (last_candle["ROC_2_4h"] > -5.0) # and (last_candle["ROC_9_4h"] > -20.0) # and (last_candle["ROC_9_4h"] < 40.0) # and (last_candle["ROC_9_1d"] > -20.0) # and (last_candle["ROC_9_1d"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_15m"] < 20.0) # and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) # and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and (last_candle["close"] > (last_candle["close_max_48"] * 0.90)) and (last_candle["close"] > (last_candle["high_max_6_1h"] * 0.85)) and (last_candle["close"] > (last_candle["high_max_12_1h"] * 0.80)) # and (last_candle["close"] < (last_candle["low_min_24_4h"] * 1.20)) and (last_candle["close"] < (last_candle["EMA_16"] * 0.980)) ) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3"] > 5.0) and (last_candle["RSI_3_15m"] > 15.0) and (last_candle["RSI_3_1h"] > 15.0) and (last_candle["RSI_3_4h"] > 15.0) and (last_candle["ROC_2_1h"] > -5.0) and (last_candle["ROC_2_4h"] > -5.0) # and (last_candle["ROC_2_1d"] > -10.0) # and (last_candle["ROC_9_1h"] > -10.0) # and (last_candle["ROC_9_4h"] > -10.0) and (last_candle["ROC_9_1d"] > -5.0) and (last_candle["EMA_26"] > last_candle["EMA_12"]) and ((last_candle["EMA_26"] - last_candle["EMA_12"]) > (last_candle["open"] * 0.020)) and ((previous_candle["EMA_26"] - previous_candle["EMA_12"]) > (last_candle["open"] / 100.0)) ) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3"] > 10.0) and (last_candle["RSI_3_15m"] > 10.0) and (last_candle["RSI_3_1h"] > 10.0) and (last_candle["RSI_3_4h"] > 10.0) and (last_candle["RSI_3_1d"] > 10.0) and (last_candle["ROC_2_1h"] > -5.0) and (last_candle["ROC_2_4h"] > -5.0) and (last_candle["ROC_2_1d"] > -5.0) and (last_candle["ROC_9_1h"] > -5.0) and (last_candle["ROC_9_4h"] > -5.0) and (last_candle["ROC_9_1d"] > -10.0) # and (last_candle["ROC_9_4h"] < 40.0) # and (last_candle["ROC_9_1d"] < 50.0) and (last_candle["AROONU_14_15m"] < 25.0) and (last_candle["close"] > (last_candle["close_max_48"] * 0.90)) and (last_candle["close"] > (last_candle["high_max_6_1h"] * 0.85)) and (last_candle["close"] > (last_candle["high_max_12_1h"] * 0.80)) # and (last_candle["close"] < (last_candle["low_min_24_4h"] * 1.20)) and (last_candle["close"] < (last_candle["EMA_12"] * 0.980)) ) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3_15m"] > 10.0) and (last_candle["RSI_3_1h"] > 10.0) and (last_candle["RSI_3_4h"] > 10.0) and (last_candle["RSI_3_1d"] > 10.0) and (last_candle["ROC_2_1h"] > -5.0) and (last_candle["ROC_2_4h"] > -5.0) # and (last_candle["ROC_2_1d"] > -5.0) and (last_candle["ROC_9_1h"] > -5.0) and (last_candle["ROC_9_4h"] > -5.0) and (last_candle["ROC_9_1d"] > -5.0) # and (last_candle["close"] > (last_candle["close_max_48"] * 0.90)) # and (last_candle["close"] > (last_candle["high_max_6_1h"] * 0.85)) # and (last_candle["close"] > (last_candle["high_max_12_1h"] * 0.80)) and (last_candle["close"] < (last_candle["EMA_26"] * 0.960)) and (last_candle["close"] < (last_candle["BBL_20_2.0"] * 0.999)) ) ): return True return False def long_grind_entry_v2( self, last_candle: Series, previous_candle: Series, slice_profit: float, is_derisk: bool ) -> float: if ( (last_candle["enter_long"] == True) or ( (last_candle["RSI_14"] < 46.0) and (last_candle["RSI_3"] > 10.0) and (last_candle["RSI_3_15m"] > 15.0) and (last_candle["RSI_3_1h"] > 15.0) and (last_candle["RSI_3_4h"] > 15.0) and (last_candle["ROC_2_1h"] > -10.0) and (last_candle["ROC_2_4h"] > -10.0) and (last_candle["ROC_2_1d"] > -10.0) and (last_candle["ROC_9_1h"] > -20.0) and (last_candle["ROC_9_4h"] > -20.0) and (last_candle["ROC_9_1d"] > -25.0) # and (last_candle["ROC_9_1d"] < 40.0) and (last_candle["AROONU_14"] < 25.0) # and (last_candle["STOCHRSIk_14_14_3_3"] < 20.0) # and (last_candle["STOCHRSIk_14_14_3_3_15m"] < 20.0) # and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) # and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and (last_candle["close"] > (last_candle["close_max_48"] * 0.90)) and (last_candle["close"] > (last_candle["high_max_6_1h"] * 0.85)) and (last_candle["close"] > (last_candle["high_max_12_1h"] * 0.80)) and (last_candle["close"] < (last_candle["low_min_24_4h"] * 1.20)) and (last_candle["close"] < (last_candle["EMA_16"] * 0.982)) ) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3"] > 5.0) and (last_candle["RSI_3_15m"] > 15.0) and (last_candle["RSI_3_1h"] > 15.0) and (last_candle["RSI_3_4h"] > 15.0) # and (last_candle["RSI_3_1d"] > 15.0) and (last_candle["ROC_2_1h"] > -10.0) and (last_candle["ROC_2_4h"] > -10.0) # and (last_candle["ROC_2_1d"] > -10.0) and (last_candle["ROC_9_1h"] > -10.0) and (last_candle["ROC_9_4h"] > -10.0) and (last_candle["ROC_9_1d"] > -30.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 50.0) and (last_candle["EMA_26"] > last_candle["EMA_12"]) and ((last_candle["EMA_26"] - last_candle["EMA_12"]) > (last_candle["open"] * 0.020)) and ((previous_candle["EMA_26"] - previous_candle["EMA_12"]) > (last_candle["open"] / 100.0)) ) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3"] > 10.0) and (last_candle["RSI_3_15m"] > 10.0) and (last_candle["RSI_3_1h"] > 10.0) and (last_candle["RSI_3_4h"] > 10.0) and (last_candle["RSI_3_1d"] > 10.0) and (last_candle["ROC_2_1h"] > -5.0) and (last_candle["ROC_2_4h"] > -5.0) and (last_candle["ROC_2_1d"] > -5.0) and (last_candle["ROC_9_1h"] > -10.0) and (last_candle["ROC_9_4h"] > -10.0) and (last_candle["ROC_9_1d"] > -10.0) # and (last_candle["ROC_9_4h"] < 40.0) # and (last_candle["ROC_9_1d"] < 50.0) and (last_candle["AROONU_14_15m"] < 25.0) and (last_candle["close"] > (last_candle["close_max_48"] * 0.90)) and (last_candle["close"] > (last_candle["high_max_6_1h"] * 0.85)) and (last_candle["close"] > (last_candle["high_max_12_1h"] * 0.80)) # and (last_candle["close"] < (last_candle["low_min_24_4h"] * 1.20)) and (last_candle["close"] < (last_candle["EMA_12"] * 0.980)) ) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3"] > 10.0) and (last_candle["RSI_3_15m"] > 10.0) and (last_candle["RSI_3_1h"] > 10.0) and (last_candle["RSI_3_4h"] > 10.0) and (last_candle["RSI_3_1d"] > 10.0) and (last_candle["ROC_2_1h"] > -10.0) and (last_candle["ROC_2_4h"] > -10.0) and (last_candle["ROC_2_1d"] > -10.0) # and (last_candle["ROC_9_1h"] > -10.0) # and (last_candle["ROC_9_4h"] > -10.0) # and (last_candle["ROC_9_1d"] > -10.0) and (last_candle["AROONU_14"] < 25.0) and (last_candle["close"] > (last_candle["close_max_48"] * 0.90)) and (last_candle["close"] > (last_candle["high_max_6_1h"] * 0.85)) and (last_candle["close"] > (last_candle["high_max_12_1h"] * 0.80)) and (last_candle["close"] < (last_candle["EMA_26"] * 0.962)) and (last_candle["close"] < (last_candle["BBL_20_2.0"] * 0.999)) ) or ( (last_candle["RSI_14"] < 35.0) and (last_candle["RSI_3"] > 10.0) and (last_candle["RSI_3_15m"] > 10.0) and (last_candle["RSI_3_1h"] > 10.0) and (last_candle["RSI_3_4h"] > 10.0) # and (last_candle["RSI_3_1d"] > 10.0) and (last_candle["ROC_2_1h"] > -10.0) and (last_candle["ROC_2_4h"] > -10.0) and (last_candle["ROC_2_1d"] > -10.0) and (last_candle["ROC_9_1h"] > -10.0) and (last_candle["ROC_9_4h"] > -10.0) # and (last_candle["ROC_9_1d"] > -10.0) and (last_candle["AROONU_14"] < 25.0) # and (last_candle["AROONU_14_15m"] < 25.0) # and (last_candle["STOCHRSIk_14_14_3_3"] < 20.0) # and (last_candle["STOCHRSIk_14_14_3_3_15m"] < 20.0) # and (last_candle["close"] > (last_candle["close_max_48"] * 0.90)) # and (last_candle["close"] > (last_candle["high_max_6_1h"] * 0.85)) # and (last_candle["close"] > (last_candle["high_max_12_1h"] * 0.80)) and (last_candle["close"] < (last_candle["low_min_12_4h"] * 1.25)) and (last_candle["close"] < (last_candle["EMA_9"] * 0.968)) and (last_candle["close"] < (last_candle["EMA_20"] * 0.980)) ) or ( (last_candle["RSI_14"] > 35.0) and (last_candle["RSI_3"] > 10.0) and (last_candle["RSI_3"] < 40.0) # and (last_candle["RSI_4"] < 40.0) and (last_candle["RSI_3_15m"] > 15.0) # and (last_candle["RSI_3_1h"] > 20.0) # and (last_candle["RSI_3_4h"] > 20.0) # and (last_candle["RSI_3_1d"] > 20.0) and (last_candle["ROC_2_1h"] > -5.0) and (last_candle["ROC_2_4h"] > -5.0) # and (last_candle["ROC_2_1d"] > -5.0) and (last_candle["ROC_9_1h"] > -10.0) and (last_candle["ROC_9_4h"] > -10.0) # and (last_candle["ROC_9_1d"] > -10.0) and (last_candle["AROONU_14"] < 25.0) # and (last_candle["AROONU_14_15m"] < 25.0) # and (last_candle["STOCHRSIk_14_14_3_3"] < 20.0) # and (last_candle["STOCHRSIk_14_14_3_3_15m"] < 20.0) # and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) # and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) # and (last_candle["close"] > (last_candle["close_max_48"] * 0.90)) # and (last_candle["close"] > (last_candle["high_max_6_1h"] * 0.85)) # and (last_candle["close"] > (last_candle["high_max_12_1h"] * 0.80)) and (last_candle["RSI_20"] < previous_candle["RSI_20"]) and (last_candle["close"] < (last_candle["SMA_16"] * 0.955)) # and (last_candle["close"] < (last_candle["EMA_20"] * 0.980)) ) or ( (last_candle["RSI_3"] > 5.0) and (last_candle["RSI_3_15m"] > 10.0) and (last_candle["RSI_3_1h"] > 10.0) and (last_candle["RSI_3_4h"] > 10.0) and (last_candle["ROC_2_1h"] > -5.0) and (last_candle["ROC_2_4h"] > -5.0) and (last_candle["ROC_9_1h"] > -5.0) and (last_candle["ROC_9_4h"] > -5.0) and (last_candle["WILLR_14"] < -50.0) # and (last_candle["AROONU_14"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 20.0) and (last_candle["WILLR_84_1h"] < -70.0) # and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 40.0) and (last_candle["close"] < (last_candle["low_min_24_4h"] * 1.30)) and (last_candle["BBB_20_2.0_1h"] > 12.0) and (last_candle["close_max_48"] >= (last_candle["close"] * 1.10)) ) or ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3"] > 5.0) and (last_candle["RSI_3_15m"] > 5.0) and (last_candle["RSI_3_1h"] > 10.0) and (last_candle["RSI_3_4h"] > 10.0) # and (last_candle["ROC_2_1h"] > -5.0) # and (last_candle["ROC_2_4h"] > -5.0) # and (last_candle["ROC_9_1h"] > -5.0) # and (last_candle["ROC_9_4h"] > -5.0) and (last_candle["ROC_9_1d"] > -30.0) # and (last_candle["STOCHRSIk_14_14_3_3"] < 20.0) # and (last_candle["close"] < (last_candle["low_min_24_4h"] * 1.50)) and (last_candle["EMA_26"] > last_candle["EMA_12"]) and ((last_candle["EMA_26"] - last_candle["EMA_12"]) > (last_candle["open"] * 0.034)) and ((previous_candle["EMA_26"] - previous_candle["EMA_12"]) > (last_candle["open"] / 100.0)) ) or ( (last_candle["RSI_3"] > 5.0) and (last_candle["RSI_3_15m"] > 25.0) and (last_candle["RSI_3_1h"] > 30.0) and (last_candle["close"] < (last_candle["high_max_24_4h"] * 0.90)) and (last_candle["close"] < (last_candle["close_max_48"] * 0.90)) and (last_candle["close"] > (last_candle["close_min_12"] * 1.08)) ) or ( (last_candle["RSI_3"] > 5.0) and (last_candle["RSI_3_15m"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 20.0) and (last_candle["RSI_14"] < (last_candle["RSI_14_1h"] - 45.0)) ) or ( (last_candle["RSI_3"] > 10.0) and (last_candle["RSI_3_15m"] > 10.0) and (last_candle["RSI_3_1h"] > 10.0) and (last_candle["RSI_3_4h"] > 10.0) and (last_candle["RSI_3_1d"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 20.0) and (last_candle["close"] < (last_candle["SMA_30"] * 0.980)) and (last_candle["close"] < (last_candle["BBL_20_2.0"] * 0.999)) ) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3"] > 5.0) and (last_candle["RSI_3_15m"] > 10.0) and (last_candle["RSI_3_1h"] > 10.0) and (last_candle["RSI_3_4h"] > 10.0) and (last_candle["RSI_3_1d"] > 10.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["close"] > (last_candle["close_max_48"] * 0.85)) and (last_candle["close"] > (last_candle["high_max_6_1h"] * 0.80)) and (last_candle["close"] > (last_candle["high_max_12_1h"] * 0.75)) and (last_candle["close"] < (last_candle["low_min_12_4h"] * 1.25)) and (last_candle["EMA_26"] > last_candle["EMA_12"]) and ((last_candle["EMA_26"] - last_candle["EMA_12"]) > (last_candle["open"] * 0.010)) and ((previous_candle["EMA_26"] - previous_candle["EMA_12"]) > (last_candle["open"] / 100.0)) ) ): return True return False def long_buyback_exit_v2( self, last_candle: Series, previous_candle: Series, slice_profit: float, is_derisk: bool ) -> float: if ( (last_candle["RSI_3"] > 99.0) or (last_candle["RSI_14"] > 70.0) or (last_candle["WILLR_14"] > -0.1) or (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) or (last_candle["close"] > (last_candle["BBU_20_2.0"] * 1.01)) or ((last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 50.0)) ): return True return False def long_grind_exit_v2( self, last_candle: Series, previous_candle: Series, slice_profit: float, is_derisk: bool ) -> float: if ( (last_candle["RSI_3"] > 99.0) or (last_candle["RSI_14"] > 70.0) or (last_candle["WILLR_14"] > -0.1) or (last_candle["STOCHRSIk_14_14_3_3"] > 95.0) or (last_candle["close"] > (last_candle["BBU_20_2.0"] * 1.01)) or ((last_candle["RSI_3"] > 90.0) and (last_candle["RSI_14"] < 50.0)) ): return True return False # Long Grinding Adjust Trade Position # --------------------------------------------------------------------------------------------- def long_grind_adjust_trade_position( self, trade: Trade, enter_tags, current_time: datetime, current_rate: float, current_profit: float, min_stake: Optional[float], max_stake: float, current_entry_rate: float, current_exit_rate: float, current_entry_profit: float, current_exit_profit: float, **kwargs, ): is_backtest = self.dp.runmode.value in ["backtest", "hyperopt"] min_stake = self.correct_min_stake(min_stake) # min/max stakes include leverage. The return amounts is before leverage. min_stake /= trade.leverage max_stake /= trade.leverage df, _ = self.dp.get_analyzed_dataframe(trade.pair, self.timeframe) if len(df) < 2: return None last_candle = df.iloc[-1].squeeze() previous_candle = df.iloc[-2].squeeze() # we already waiting for an order to get filled if trade.has_open_orders: return None filled_orders = trade.select_filled_orders() filled_entries = trade.select_filled_orders(trade.entry_side) filled_exits = trade.select_filled_orders(trade.exit_side) count_of_entries = trade.nr_of_successful_entries count_of_exits = trade.nr_of_successful_exits if count_of_entries == 0: return None if len(filled_orders) < 1: return None has_order_tags = False if hasattr(filled_orders[0], "ft_order_tag"): has_order_tags = True exit_rate = current_rate if self.dp.runmode.value in ("live", "dry_run"): ticker = self.dp.ticker(trade.pair) if ("bid" in ticker) and ("ask" in ticker): if trade.is_short: if self.config["exit_pricing"]["price_side"] in ["ask", "other"]: if ticker["ask"] is not None: exit_rate = ticker["ask"] else: if self.config["exit_pricing"]["price_side"] in ["bid", "other"]: if ticker["bid"] is not None: exit_rate = ticker["bid"] profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio = self.calc_total_profit( trade, filled_entries, filled_exits, exit_rate ) slice_amount = filled_entries[0].cost slice_profit = (exit_rate - filled_orders[-1].safe_price) / filled_orders[-1].safe_price slice_profit_entry = (exit_rate - filled_entries[-1].safe_price) / filled_entries[-1].safe_price slice_profit_exit = ( ((exit_rate - filled_exits[-1].safe_price) / filled_exits[-1].safe_price) if count_of_exits > 0 else 0.0 ) current_stake_amount = trade.amount * current_rate is_derisk = trade.amount < (filled_entries[0].safe_filled * 0.95) is_derisk_calc = False is_rebuy_mode = all(c in self.long_rebuy_mode_tags for c in enter_tags) or ( any(c in self.long_rebuy_mode_tags for c in enter_tags) and all(c in (self.long_rebuy_mode_tags + self.long_grind_mode_tags) for c in enter_tags) ) is_grind_mode = all(c in self.long_grind_mode_tags for c in enter_tags) fee_open_rate = trade.fee_open if self.custom_fee_open_rate is None else self.custom_fee_open_rate fee_close_rate = trade.fee_close if self.custom_fee_close_rate is None else self.custom_fee_close_rate # Rebuy mode if is_rebuy_mode: slice_amount /= self.rebuy_mode_stake_multiplier # Grind mode elif is_grind_mode: slice_amount /= ( self.grind_mode_stake_multiplier_futures[0] if self.is_futures_mode else self.grind_mode_stake_multiplier_spot[0] ) elif not is_derisk and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 2, 5) or is_backtest): rebuy_stake, order_tag, is_derisk_calc = self.long_adjust_trade_position_no_derisk( trade, enter_tags, current_time, current_rate, current_profit, min_stake, max_stake, current_entry_rate, current_exit_rate, current_entry_profit, current_exit_profit, last_candle, previous_candle, filled_orders, filled_entries, filled_exits, exit_rate, slice_amount, slice_profit_entry, slice_profit, profit_ratio, profit_stake, profit_init_ratio, current_stake_amount, has_order_tags, ) if rebuy_stake is not None: if has_order_tags: return rebuy_stake, order_tag else: return rebuy_stake elif count_of_exits == 0: return None elif not is_derisk_calc: return None if not is_rebuy_mode and not is_grind_mode: # First entry is lower now, therefore the grinds must adjust if trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest: slice_amount /= ( self.regular_mode_stake_multiplier_futures[0] if self.is_futures_mode else self.regular_mode_stake_multiplier_spot[0] ) is_not_trade_max_stake = current_stake_amount < ( (filled_entries[0].cost * self.grinding_v1_max_stake) / ( ( self.grind_mode_stake_multiplier_futures[0] if self.is_futures_mode else self.grind_mode_stake_multiplier_spot[0] ) if is_grind_mode else 1.0 ) ) grind_1_max_sub_grinds = 0 grind_1_stakes = self.grind_1_stakes_futures.copy() if self.is_futures_mode else self.grind_1_stakes_spot.copy() grind_1_sub_thresholds = ( self.grind_1_sub_thresholds_futures if self.is_futures_mode else self.grind_1_sub_thresholds_spot ) if (slice_amount * grind_1_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_1_stakes[0] * trade.leverage for i, _ in enumerate(grind_1_stakes): grind_1_stakes[i] *= multi grind_1_max_sub_grinds = len(grind_1_stakes) grind_1_stop_grinds = self.grind_1_stop_grinds_futures if self.is_futures_mode else self.grind_1_stop_grinds_spot grind_1_profit_threshold = ( self.grind_1_profit_threshold_futures if self.is_futures_mode else self.grind_1_profit_threshold_spot ) grind_2_max_sub_grinds = 0 grind_2_stakes = self.grind_2_stakes_futures.copy() if self.is_futures_mode else self.grind_2_stakes_spot.copy() grind_2_sub_thresholds = ( self.grind_2_sub_thresholds_futures if self.is_futures_mode else self.grind_2_sub_thresholds_spot ) if (slice_amount * grind_2_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_2_stakes[0] * trade.leverage for i, _ in enumerate(grind_2_stakes): grind_2_stakes[i] *= multi grind_2_max_sub_grinds = len(grind_2_stakes) grind_2_stop_grinds = self.grind_2_stop_grinds_futures if self.is_futures_mode else self.grind_2_stop_grinds_spot grind_2_profit_threshold = ( self.grind_2_profit_threshold_futures if self.is_futures_mode else self.grind_2_profit_threshold_spot ) grind_3_max_sub_grinds = 0 grind_3_stakes = self.grind_3_stakes_futures.copy() if self.is_futures_mode else self.grind_3_stakes_spot.copy() grind_3_sub_thresholds = ( self.grind_3_sub_thresholds_futures if self.is_futures_mode else self.grind_3_sub_thresholds_spot ) if (slice_amount * grind_3_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_3_stakes[0] * trade.leverage for i, _ in enumerate(grind_3_stakes): grind_3_stakes[i] *= multi grind_3_max_sub_grinds = len(grind_3_stakes) grind_3_stop_grinds = self.grind_3_stop_grinds_futures if self.is_futures_mode else self.grind_3_stop_grinds_spot grind_3_profit_threshold = ( self.grind_3_profit_threshold_futures if self.is_futures_mode else self.grind_3_profit_threshold_spot ) grind_4_max_sub_grinds = 0 grind_4_stakes = self.grind_4_stakes_futures.copy() if self.is_futures_mode else self.grind_4_stakes_spot.copy() grind_4_sub_thresholds = ( self.grind_4_sub_thresholds_futures if self.is_futures_mode else self.grind_4_sub_thresholds_spot ) if (slice_amount * grind_4_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_4_stakes[0] * trade.leverage for i, _ in enumerate(grind_4_stakes): grind_4_stakes[i] *= multi grind_4_max_sub_grinds = len(grind_4_stakes) grind_4_stop_grinds = self.grind_4_stop_grinds_futures if self.is_futures_mode else self.grind_4_stop_grinds_spot grind_4_profit_threshold = ( self.grind_4_profit_threshold_futures if self.is_futures_mode else self.grind_4_profit_threshold_spot ) grind_5_max_sub_grinds = 0 grind_5_stakes = self.grind_5_stakes_futures.copy() if self.is_futures_mode else self.grind_5_stakes_spot.copy() grind_5_sub_thresholds = ( self.grind_5_sub_thresholds_futures if self.is_futures_mode else self.grind_5_sub_thresholds_spot ) if (slice_amount * grind_5_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_5_stakes[0] * trade.leverage for i, _ in enumerate(grind_5_stakes): grind_5_stakes[i] *= multi grind_5_max_sub_grinds = len(grind_5_stakes) grind_5_stop_grinds = self.grind_5_stop_grinds_futures if self.is_futures_mode else self.grind_5_stop_grinds_spot grind_5_profit_threshold = ( self.grind_5_profit_threshold_futures if self.is_futures_mode else self.grind_5_profit_threshold_spot ) grind_6_max_sub_grinds = 0 grind_6_stakes = self.grind_6_stakes_futures.copy() if self.is_futures_mode else self.grind_6_stakes_spot.copy() grind_6_sub_thresholds = ( self.grind_6_sub_thresholds_futures if self.is_futures_mode else self.grind_6_sub_thresholds_spot ) if (slice_amount * grind_6_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_6_stakes[0] * trade.leverage for i, _ in enumerate(grind_6_stakes): grind_6_stakes[i] *= multi grind_6_max_sub_grinds = len(grind_6_stakes) grind_6_stop_grinds = self.grind_6_stop_grinds_futures if self.is_futures_mode else self.grind_6_stop_grinds_spot grind_6_profit_threshold = ( self.grind_6_profit_threshold_futures if self.is_futures_mode else self.grind_6_profit_threshold_spot ) grind_1_derisk_1_max_sub_grinds = 0 grind_1_derisk_1_stakes = ( self.grind_1_derisk_1_stakes_futures.copy() if self.is_futures_mode else self.grind_1_derisk_1_stakes_spot.copy() ) grind_1_derisk_1_sub_thresholds = ( self.grind_1_derisk_1_sub_thresholds_futures if self.is_futures_mode else self.grind_1_derisk_1_sub_thresholds_spot ) if (slice_amount * grind_1_derisk_1_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_1_derisk_1_stakes[0] * trade.leverage for i, _ in enumerate(grind_1_derisk_1_stakes): grind_1_derisk_1_stakes[i] *= multi grind_1_derisk_1_max_sub_grinds = len(grind_1_derisk_1_stakes) grind_1_derisk_1_stop_grinds = ( self.grind_1_derisk_1_stop_grinds_futures if self.is_futures_mode else self.grind_1_derisk_1_stop_grinds_spot ) grind_1_derisk_1_profit_threshold = ( self.grind_1_derisk_1_profit_threshold_futures if self.is_futures_mode else self.grind_1_derisk_1_profit_threshold_spot ) grind_2_derisk_1_max_sub_grinds = 0 grind_2_derisk_1_stakes = ( self.grind_2_derisk_1_stakes_futures.copy() if self.is_futures_mode else self.grind_2_derisk_1_stakes_spot.copy() ) grind_2_derisk_1_sub_thresholds = ( self.grind_2_derisk_1_sub_thresholds_futures if self.is_futures_mode else self.grind_2_derisk_1_sub_thresholds_spot ) if (slice_amount * grind_2_derisk_1_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_2_derisk_1_stakes[0] * trade.leverage for i, _ in enumerate(grind_2_derisk_1_stakes): grind_2_derisk_1_stakes[i] *= multi grind_2_derisk_1_max_sub_grinds = len(grind_2_derisk_1_stakes) grind_2_derisk_1_stop_grinds = ( self.grind_2_derisk_1_stop_grinds_futures if self.is_futures_mode else self.grind_2_derisk_1_stop_grinds_spot ) grind_2_derisk_1_profit_threshold = ( self.grind_2_derisk_1_profit_threshold_futures if self.is_futures_mode else self.grind_2_derisk_1_profit_threshold_spot ) partial_sell = False is_derisk_found = False # d de-risk is_derisk_1 = False is_derisk_1_found = False # d1 de-risk exit derisk_1_order = None derisk_1_reentry_order = None derisk_1_sub_grind_count = 0 derisk_1_total_amount = 0.0 derisk_1_total_cost = 0.0 derisk_1_current_open_rate = 0.0 derisk_1_current_grind_stake = 0.0 derisk_1_current_grind_stake_profit = 0.0 derisk_1_is_sell_found = False derisk_1_reentry_found = False derisk_1_buy_orders = [] derisk_1_distance_ratio = 0.0 grind_1_sub_grind_count = 0 grind_1_total_amount = 0.0 grind_1_total_cost = 0.0 grind_1_current_open_rate = 0.0 grind_1_current_grind_stake = 0.0 grind_1_current_grind_stake_profit = 0.0 grind_1_is_sell_found = False grind_1_found = False grind_1_buy_orders = [] grind_1_distance_ratio = 0.0 grind_2_sub_grind_count = 0 grind_2_total_amount = 0.0 grind_2_total_cost = 0.0 grind_2_current_open_rate = 0.0 grind_2_current_grind_stake = 0.0 grind_2_current_grind_stake_profit = 0.0 grind_2_is_sell_found = False grind_2_found = False grind_2_buy_orders = [] grind_2_distance_ratio = 0.0 grind_3_sub_grind_count = 0 grind_3_total_amount = 0.0 grind_3_total_cost = 0.0 grind_3_current_open_rate = 0.0 grind_3_current_grind_stake = 0.0 grind_3_current_grind_stake_profit = 0.0 grind_3_is_sell_found = False grind_3_found = False grind_3_buy_orders = [] grind_3_distance_ratio = 0.0 grind_4_sub_grind_count = 0 grind_4_total_amount = 0.0 grind_4_total_cost = 0.0 grind_4_current_open_rate = 0.0 grind_4_current_grind_stake = 0.0 grind_4_current_grind_stake_profit = 0.0 grind_4_is_sell_found = False grind_4_found = False grind_4_buy_orders = [] grind_4_distance_ratio = 0.0 grind_5_sub_grind_count = 0 grind_5_total_amount = 0.0 grind_5_total_cost = 0.0 grind_5_current_open_rate = 0.0 grind_5_current_grind_stake = 0.0 grind_5_current_grind_stake_profit = 0.0 grind_5_is_sell_found = False grind_5_found = False grind_5_buy_orders = [] grind_5_distance_ratio = 0.0 grind_6_sub_grind_count = 0 grind_6_total_amount = 0.0 grind_6_total_cost = 0.0 grind_6_current_open_rate = 0.0 grind_6_current_grind_stake = 0.0 grind_6_current_grind_stake_profit = 0.0 grind_6_is_sell_found = False grind_6_found = False grind_6_buy_orders = [] grind_6_distance_ratio = 0.0 grind_1_derisk_1_sub_grind_count = 0 grind_1_derisk_1_total_amount = 0.0 grind_1_derisk_1_total_cost = 0.0 grind_1_derisk_1_current_open_rate = 0.0 grind_1_derisk_1_current_grind_stake = 0.0 grind_1_derisk_1_current_grind_stake_profit = 0.0 grind_1_derisk_1_is_sell_found = False grind_1_derisk_1_found = False grind_1_derisk_1_buy_orders = [] grind_1_derisk_1_distance_ratio = 0.0 grind_2_derisk_1_sub_grind_count = 0 grind_2_derisk_1_total_amount = 0.0 grind_2_derisk_1_total_cost = 0.0 grind_2_derisk_1_current_open_rate = 0.0 grind_2_derisk_1_current_grind_stake = 0.0 grind_2_derisk_1_current_grind_stake_profit = 0.0 grind_2_derisk_1_is_sell_found = False grind_2_derisk_1_found = False grind_2_derisk_1_buy_orders = [] grind_2_derisk_1_distance_ratio = 0.0 for order in reversed(filled_orders): if (order.ft_order_side == "buy") and (order is not filled_orders[0]): order_tag = "" if has_order_tags: if order.ft_order_tag is not None: order_tag = order.ft_order_tag if not is_derisk_1 and order_tag == "d1": derisk_1_sub_grind_count += 1 derisk_1_total_amount += order.safe_filled derisk_1_total_cost += order.safe_filled * order.safe_price derisk_1_buy_orders.append(order.id) if not derisk_1_reentry_found and not is_derisk_1: derisk_1_distance_ratio = (exit_rate - order.safe_price) / order.safe_price derisk_1_reentry_found = True derisk_1_reentry_order = order elif not grind_1_derisk_1_is_sell_found and order_tag == "dl1": grind_1_derisk_1_sub_grind_count += 1 grind_1_derisk_1_total_amount += order.safe_filled grind_1_derisk_1_total_cost += order.safe_filled * order.safe_price grind_1_derisk_1_buy_orders.append(order.id) if not grind_1_derisk_1_found: grind_1_derisk_1_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_1_derisk_1_found = True elif not grind_2_derisk_1_is_sell_found and order_tag == "dl2": grind_2_derisk_1_sub_grind_count += 1 grind_2_derisk_1_total_amount += order.safe_filled grind_2_derisk_1_total_cost += order.safe_filled * order.safe_price grind_2_derisk_1_buy_orders.append(order.id) if not grind_2_derisk_1_found: grind_2_derisk_1_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_2_derisk_1_found = True elif not grind_6_is_sell_found and order_tag == "gd6": grind_6_sub_grind_count += 1 grind_6_total_amount += order.safe_filled grind_6_total_cost += order.safe_filled * order.safe_price grind_6_buy_orders.append(order.id) if not grind_6_found: grind_6_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_6_found = True elif not grind_5_is_sell_found and order_tag == "gd5": grind_5_sub_grind_count += 1 grind_5_total_amount += order.safe_filled grind_5_total_cost += order.safe_filled * order.safe_price grind_5_buy_orders.append(order.id) if not grind_5_found: grind_5_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_5_found = True elif not grind_4_is_sell_found and order_tag == "gd4": grind_4_sub_grind_count += 1 grind_4_total_amount += order.safe_filled grind_4_total_cost += order.safe_filled * order.safe_price grind_4_buy_orders.append(order.id) if not grind_4_found: grind_4_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_4_found = True elif not grind_3_is_sell_found and order_tag == "gd3": grind_3_sub_grind_count += 1 grind_3_total_amount += order.safe_filled grind_3_total_cost += order.safe_filled * order.safe_price grind_3_buy_orders.append(order.id) if not grind_3_found: grind_3_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_3_found = True elif not grind_2_is_sell_found and order_tag == "gd2": grind_2_sub_grind_count += 1 grind_2_total_amount += order.safe_filled grind_2_total_cost += order.safe_filled * order.safe_price grind_2_buy_orders.append(order.id) if not grind_2_found: grind_2_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_2_found = True elif not grind_1_is_sell_found and order_tag not in [ "r", "d1", "dl1", "dl2", "g1", "g2", "g3", "g4", "g5", "g6", "sg1", "sg2", "sg3", "sg4", "sg5", "sg6", "gd2", "gd3", "gd4", "gd5", "gd6", "gm0", "gmd0", "gdr", ]: grind_1_sub_grind_count += 1 grind_1_total_amount += order.safe_filled grind_1_total_cost += order.safe_filled * order.safe_price grind_1_buy_orders.append(order.id) if not grind_1_found: grind_1_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_1_found = True elif order.ft_order_side == "sell": if ( order is filled_exits[-1] and (order.safe_remaining * exit_rate / (trade.leverage if self.is_futures_mode else 1.0)) > min_stake ): partial_sell = True break order_tag = "" if has_order_tags: if order.ft_order_tag is not None: sell_order_tag = order.ft_order_tag order_mode = sell_order_tag.split(" ", 1) if len(order_mode) > 0: order_tag = order_mode[0] if order_tag in ["dl1", "ddl1"]: grind_1_derisk_1_is_sell_found = True elif order_tag in ["dl2", "ddl2"]: grind_2_derisk_1_is_sell_found = True elif order_tag in ["gd6", "dd6"]: grind_6_is_sell_found = True elif order_tag in ["gd5", "dd5"]: grind_5_is_sell_found = True if order_tag in ["gd4", "dd4"]: grind_4_is_sell_found = True elif order_tag in ["gd3", "dd3"]: grind_3_is_sell_found = True elif order_tag in ["gd2", "dd2"]: grind_2_is_sell_found = True elif order_tag in ["d1"]: if not is_derisk_1_found: is_derisk_1_found = True is_derisk_1 = True derisk_1_order = order elif order_tag in ["p", "r", "d", "dd0", "partial_exit", "force_exit", ""]: if order_tag in ["d"]: is_derisk_found = True is_derisk = True grind_1_is_sell_found = True grind_2_is_sell_found = True grind_3_is_sell_found = True grind_4_is_sell_found = True grind_5_is_sell_found = True grind_6_is_sell_found = True grind_1_derisk_1_is_sell_found = True grind_2_derisk_1_is_sell_found = True elif order_tag not in [ "dl1", "ddl1", "dl2", "ddl2", "g1", "g2", "g3", "g4", "g5", "g6", "sg1", "sg2", "sg3", "sg4", "sg5", "sg6", "gd2", "gd3", "gd4", "gd5", "gd6", "dd2", "dd3", "dd4", "dd5", "dd6", "gm0", "gmd0", "gdr", ]: grind_1_is_sell_found = True if derisk_1_sub_grind_count > 0: derisk_1_current_open_rate = derisk_1_total_cost / derisk_1_total_amount derisk_1_current_grind_stake = derisk_1_total_amount * exit_rate * (1 - trade.fee_close) derisk_1_current_grind_stake_profit = derisk_1_current_grind_stake - derisk_1_total_cost if grind_1_sub_grind_count > 0: grind_1_current_open_rate = grind_1_total_cost / grind_1_total_amount grind_1_current_grind_stake = grind_1_total_amount * exit_rate * (1 - trade.fee_close) grind_1_current_grind_stake_profit = grind_1_current_grind_stake - grind_1_total_cost if grind_2_sub_grind_count > 0: grind_2_current_open_rate = grind_2_total_cost / grind_2_total_amount grind_2_current_grind_stake = grind_2_total_amount * exit_rate * (1 - trade.fee_close) grind_2_current_grind_stake_profit = grind_2_current_grind_stake - grind_2_total_cost if grind_3_sub_grind_count > 0: grind_3_current_open_rate = grind_3_total_cost / grind_3_total_amount grind_3_current_grind_stake = grind_3_total_amount * exit_rate * (1 - trade.fee_close) grind_3_current_grind_stake_profit = grind_3_current_grind_stake - grind_3_total_cost if grind_4_sub_grind_count > 0: grind_4_current_open_rate = grind_4_total_cost / grind_4_total_amount grind_4_current_grind_stake = grind_4_total_amount * exit_rate * (1 - trade.fee_close) grind_4_current_grind_stake_profit = grind_4_current_grind_stake - grind_4_total_cost if grind_5_sub_grind_count > 0: grind_5_current_open_rate = grind_5_total_cost / grind_5_total_amount grind_5_current_grind_stake = grind_5_total_amount * exit_rate * (1 - trade.fee_close) grind_5_current_grind_stake_profit = grind_5_current_grind_stake - grind_5_total_cost if grind_6_sub_grind_count > 0: grind_6_current_open_rate = grind_6_total_cost / grind_6_total_amount grind_6_current_grind_stake = grind_6_total_amount * exit_rate * (1 - trade.fee_close) grind_6_current_grind_stake_profit = grind_6_current_grind_stake - grind_6_total_cost if grind_1_derisk_1_sub_grind_count > 0: grind_1_derisk_1_current_open_rate = grind_1_derisk_1_total_cost / grind_1_derisk_1_total_amount grind_1_derisk_1_current_grind_stake = grind_1_derisk_1_total_amount * exit_rate * (1 - trade.fee_close) grind_1_derisk_1_current_grind_stake_profit = grind_1_derisk_1_current_grind_stake - grind_1_derisk_1_total_cost if grind_2_derisk_1_sub_grind_count > 0: grind_2_derisk_1_current_open_rate = grind_2_derisk_1_total_cost / grind_2_derisk_1_total_amount grind_2_derisk_1_current_grind_stake = grind_2_derisk_1_total_amount * exit_rate * (1 - trade.fee_close) grind_2_derisk_1_current_grind_stake_profit = grind_2_derisk_1_current_grind_stake - grind_2_derisk_1_total_cost num_open_grinds = ( grind_1_sub_grind_count + grind_2_sub_grind_count + grind_3_sub_grind_count + grind_4_sub_grind_count + grind_5_sub_grind_count + grind_6_sub_grind_count + grind_1_derisk_1_sub_grind_count + grind_2_derisk_1_sub_grind_count ) grinds_total_stake_profit = ( derisk_1_current_grind_stake_profit + grind_1_derisk_1_current_grind_stake_profit + grind_2_derisk_1_current_grind_stake_profit + grind_1_current_grind_stake_profit + grind_2_current_grind_stake_profit + grind_3_current_grind_stake_profit + grind_4_current_grind_stake_profit + grind_5_current_grind_stake_profit + grind_6_current_grind_stake_profit ) grinds_total_amount = ( derisk_1_total_amount + grind_1_derisk_1_total_amount + grind_2_derisk_1_total_amount + grind_1_total_amount + grind_2_total_amount + grind_3_total_amount + grind_4_total_amount + grind_5_total_amount + grind_6_total_amount ) # Sell remaining if partial fill on exit if partial_sell: order = filled_exits[-1] sell_amount = order.safe_remaining * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Exit (remaining) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {order.safe_remaining} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "p" if has_order_tags: if order.ft_order_tag is not None: order_tag = order.ft_order_tag if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount if is_grind_mode and ( (filled_entries[0].safe_filled * (trade.stake_amount / trade.amount) - (min_stake * 1.5)) > min_stake ): is_first_entry_exit_found = False for order in filled_orders: if order.ft_order_side == "sell": order_tag = "" if has_order_tags: if order.ft_order_tag is not None: sell_order_tag = order.ft_order_tag order_mode = sell_order_tag.split(" ", 1) if len(order_mode) > 0: order_tag = order_mode[0] else: # no order tag support, assume the first exit is for the first buy is_first_entry_exit_found = True if order_tag in ["gm0", "gmd0"]: is_first_entry_exit_found = True break if not is_first_entry_exit_found: first_entry = filled_entries[0] first_entry_distance_ratio = (exit_rate - first_entry.safe_price) / first_entry.safe_price # First entry exit if first_entry_distance_ratio > ( (self.grind_mode_first_entry_profit_threshold_spot + fee_open_rate + fee_close_rate) if self.is_futures_mode else (self.grind_mode_first_entry_profit_threshold_spot + fee_open_rate + fee_close_rate) ): sell_amount = first_entry.safe_filled * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = (exit_rate - first_entry.safe_price) / first_entry.safe_price coin_amount = sell_amount / exit_rate self.dp.send_msg( f"Grinding exit (gm0) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {coin_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (gm0) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {coin_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gm0" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # First entry de-risk if self.derisk_use_grind_stops and ( first_entry_distance_ratio < ( self.grind_mode_first_entry_stop_threshold_spot if self.is_futures_mode else self.grind_mode_first_entry_stop_threshold_spot ) ): sell_amount = first_entry.safe_filled * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = (exit_rate - first_entry.safe_price) / first_entry.safe_price coin_amount = sell_amount / exit_rate self.dp.send_msg( f"Grinding de-risk (gmd0) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {coin_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding de-risk (gmd0) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {coin_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gmd0" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount is_long_grind_entry = self.long_grind_entry(last_candle, previous_candle, slice_profit, True) # Grinding derisk 1 # Buy if ( has_order_tags and is_derisk_1 and not derisk_1_reentry_found and (not partial_sell) and (grind_1_derisk_1_sub_grind_count < grind_1_derisk_1_max_sub_grinds) and is_not_trade_max_stake ): if ( ( ( (grind_1_derisk_1_sub_grind_count > 0) and grind_1_derisk_1_distance_ratio < grind_1_derisk_1_sub_thresholds[grind_1_derisk_1_sub_grind_count] ) or ((is_derisk or is_derisk_calc) and grind_1_derisk_1_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) # and ((num_open_grinds == 0) or (slice_profit < -0.03)) and is_long_grind_entry ): buy_amount = ( slice_amount * grind_1_derisk_1_stakes[grind_1_derisk_1_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_1_derisk_1_sub_grind_count > 0: grind_profit = (exit_rate - grind_1_derisk_1_current_open_rate) / grind_1_derisk_1_current_open_rate grind_profit_stake = grind_1_derisk_1_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (dl1) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_derisk_1_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (dl1) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_derisk_1_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "dl1" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_1_derisk_1_sub_grind_count > 0: grind_profit = (exit_rate - grind_1_derisk_1_current_open_rate) / grind_1_derisk_1_current_open_rate if grind_profit > (grind_1_derisk_1_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_1_derisk_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (dl1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (dl1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "dl1" for grind_entry_id in grind_1_derisk_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and (grind_1_derisk_1_sub_grind_count > 0) # and ( # ((exit_rate - grind_1_derisk_1_current_open_rate) / grind_1_derisk_1_current_open_rate) # < grind_1_derisk_1_stop_grinds # ) and (grind_1_derisk_1_current_grind_stake_profit < (slice_amount * grind_1_derisk_1_stop_grinds)) and (is_derisk or is_derisk_calc) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_1_derisk_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_1_derisk_1_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_1_derisk_1_current_open_rate) / grind_1_derisk_1_current_open_rate) if grind_1_derisk_1_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (ddl1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (ddl1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "ddl1" for grind_entry_id in grind_1_derisk_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding derisk 2 # Buy if ( has_order_tags and is_derisk_1 and not derisk_1_reentry_found and (not partial_sell) and (grind_2_derisk_1_sub_grind_count < grind_2_derisk_1_max_sub_grinds) and is_not_trade_max_stake ): if ( ( ( (grind_2_derisk_1_sub_grind_count > 0) and grind_2_derisk_1_distance_ratio < grind_2_derisk_1_sub_thresholds[grind_2_derisk_1_sub_grind_count] ) or ((is_derisk or is_derisk_calc) and grind_2_derisk_1_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) # and ((num_open_grinds == 0) or (slice_profit < -0.03)) and is_long_grind_entry ): buy_amount = ( slice_amount * grind_2_derisk_1_stakes[grind_2_derisk_1_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_2_derisk_1_sub_grind_count > 0: grind_profit = (exit_rate - grind_2_derisk_1_current_open_rate) / grind_2_derisk_1_current_open_rate grind_profit_stake = grind_2_derisk_1_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (dl2) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_2_derisk_1_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (dl2) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_2_derisk_1_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "dl2" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_2_derisk_1_sub_grind_count > 0: grind_profit = (exit_rate - grind_2_derisk_1_current_open_rate) / grind_2_derisk_1_current_open_rate if grind_profit > (grind_2_derisk_1_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_2_derisk_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (dl2) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (dl2) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "dl2" for grind_entry_id in grind_2_derisk_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and (grind_2_derisk_1_sub_grind_count > 0) # and ( # ((exit_rate - grind_2_derisk_1_current_open_rate) / grind_2_derisk_1_current_open_rate) # < grind_2_derisk_1_stop_grinds # ) and (grind_2_derisk_1_current_grind_stake_profit < (slice_amount * grind_2_derisk_1_stop_grinds)) and (is_derisk or is_derisk_calc) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_2_derisk_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_2_derisk_1_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_2_derisk_1_current_open_rate) / grind_2_derisk_1_current_open_rate) if grind_2_derisk_1_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (ddl2) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (ddl2) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "ddl2" for grind_entry_id in grind_2_derisk_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 1 # Buy if (not partial_sell) and (grind_1_sub_grind_count < grind_1_max_sub_grinds): if ( ( ((grind_1_sub_grind_count > 0) and grind_1_distance_ratio < grind_1_sub_thresholds[grind_1_sub_grind_count]) or ((is_derisk or is_derisk_calc) and grind_1_sub_grind_count == 0) or (is_grind_mode and grind_1_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) # and ((num_open_grinds == 0) or (slice_profit < -0.03)) and is_long_grind_entry and is_not_trade_max_stake ): buy_amount = ( slice_amount * grind_1_stakes[grind_1_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_1_sub_grind_count > 0: grind_profit = (exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate grind_profit_stake = grind_1_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (gd1) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (gd1) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "gd1" if has_order_tags: return buy_amount, order_tag else: return buy_amount if ( self.is_futures_mode and has_order_tags and (not partial_sell) and slice_profit < (-0.65 / trade.leverage) and (is_derisk or is_derisk_calc or is_grind_mode) and (grind_1_sub_grind_count < grind_1_max_sub_grinds) ): buy_amount = ( slice_amount * grind_1_stakes[grind_1_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_1_sub_grind_count > 0: grind_profit = (exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate grind_profit_stake = grind_1_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (gd1) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (gd1) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "gd1" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_1_sub_grind_count > 0: grind_profit = (exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate if grind_profit > (grind_1_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (gd1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (gd1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gd1" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and ( (grind_1_sub_grind_count > 0) # and (((exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate) < grind_1_stop_grinds) and (grind_1_current_grind_stake_profit < (slice_amount * grind_1_stop_grinds)) and (is_derisk or is_derisk_calc or is_grind_mode) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_1_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate) if grind_1_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (dd1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (dd1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "dd1" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 2 # Buy if has_order_tags and (not partial_sell) and (grind_2_sub_grind_count < grind_2_max_sub_grinds): if ( ( ((grind_2_sub_grind_count > 0) and grind_2_distance_ratio < grind_2_sub_thresholds[grind_2_sub_grind_count]) or ((is_derisk or is_derisk_calc) and grind_2_sub_grind_count == 0) or (is_grind_mode and grind_2_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) # and ((num_open_grinds == 0) or (slice_profit < -0.03)) and is_long_grind_entry and is_not_trade_max_stake ): buy_amount = ( slice_amount * grind_2_stakes[grind_2_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_2_sub_grind_count > 0: grind_profit = (exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate grind_profit_stake = grind_2_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (gd2) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_2_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (gd2) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_2_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "gd2" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_2_sub_grind_count > 0: grind_profit = (exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate if grind_profit > (grind_2_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_2_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (gd2) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (gd2) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gd2" for grind_entry_id in grind_2_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and ( (grind_2_sub_grind_count > 0) # and (((exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate) < grind_2_stop_grinds) and (grind_2_current_grind_stake_profit < (slice_amount * grind_2_stop_grinds)) and (is_derisk or is_derisk_calc or is_grind_mode) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_2_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_2_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate) if grind_2_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (dd2) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (dd2) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "dd2" for grind_entry_id in grind_2_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 3 # Buy if has_order_tags and (not partial_sell) and (grind_3_sub_grind_count < grind_3_max_sub_grinds): if ( ( ((grind_3_sub_grind_count > 0) and grind_3_distance_ratio < grind_3_sub_thresholds[grind_3_sub_grind_count]) or ((is_derisk or is_derisk_calc) and grind_3_sub_grind_count == 0) or (is_grind_mode and grind_3_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) # and ((num_open_grinds == 0) or (slice_profit < -0.03)) and is_long_grind_entry and is_not_trade_max_stake ): buy_amount = ( slice_amount * grind_3_stakes[grind_3_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_3_sub_grind_count > 0: grind_profit = (exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate grind_profit_stake = grind_3_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (gd3) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_3_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (gd3) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_3_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "gd3" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_3_sub_grind_count > 0: grind_profit = (exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate if grind_profit > (grind_3_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_3_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (gd3) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (gd3) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gd3" for grind_entry_id in grind_3_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and ( (grind_3_sub_grind_count > 0) # and (((exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate) < grind_3_stop_grinds) and (grind_3_current_grind_stake_profit < (slice_amount * grind_3_stop_grinds)) and (is_derisk or is_derisk_calc or is_grind_mode) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_3_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_3_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate) if grind_3_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (dd3) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (dd3) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "dd3" for grind_entry_id in grind_3_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 4 # Buy if has_order_tags and (not partial_sell) and (grind_4_sub_grind_count < grind_4_max_sub_grinds): if ( ( ((grind_4_sub_grind_count > 0) and grind_4_distance_ratio < grind_4_sub_thresholds[grind_4_sub_grind_count]) or ((is_derisk or is_derisk_calc) and grind_4_sub_grind_count == 0) or (is_grind_mode and grind_4_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) # and ((num_open_grinds == 0) or (slice_profit < -0.03)) and is_long_grind_entry and is_not_trade_max_stake ): buy_amount = ( slice_amount * grind_4_stakes[grind_4_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_4_sub_grind_count > 0: grind_profit = (exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate grind_profit_stake = grind_4_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (gd4) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_4_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (gd4) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_4_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "gd4" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_4_sub_grind_count > 0: grind_profit = (exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate if grind_profit > (grind_4_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_4_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (gd4) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (gd4) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gd4" for grind_entry_id in grind_4_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and ( (grind_4_sub_grind_count > 0) # and (((exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate) < grind_4_stop_grinds) and (grind_4_current_grind_stake_profit < (slice_amount * grind_4_stop_grinds)) and (is_derisk or is_derisk_calc or is_grind_mode) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_4_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_4_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate) if grind_4_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (dd4) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (dd4) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "dd4" for grind_entry_id in grind_4_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 5 # Buy if has_order_tags and (not partial_sell) and (grind_5_sub_grind_count < grind_5_max_sub_grinds): if ( ( ((grind_5_sub_grind_count > 0) and grind_5_distance_ratio < grind_5_sub_thresholds[grind_5_sub_grind_count]) or ((is_derisk or is_derisk_calc) and grind_5_sub_grind_count == 0) or (is_grind_mode and grind_5_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) # and ((num_open_grinds == 0) or (slice_profit < -0.03)) and is_long_grind_entry and is_not_trade_max_stake ): buy_amount = ( slice_amount * grind_5_stakes[grind_5_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_5_sub_grind_count > 0: grind_profit = (exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate grind_profit_stake = grind_5_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (gd5) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_5_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (gd5) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_5_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "gd5" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_5_sub_grind_count > 0: grind_profit = (exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate if grind_profit > (grind_5_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_5_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (gd5) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (gd5) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gd5" for grind_entry_id in grind_5_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and ( (grind_5_sub_grind_count > 0) # and (((exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate) < grind_5_stop_grinds) and (grind_5_current_grind_stake_profit < (slice_amount * grind_5_stop_grinds)) and (is_derisk or is_derisk_calc or is_grind_mode) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_5_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_5_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate) if grind_5_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (dd5) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (dd5) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "dd5" for grind_entry_id in grind_5_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 6 # Buy if has_order_tags and (not partial_sell) and (grind_6_sub_grind_count < grind_6_max_sub_grinds): if ( ( ((grind_6_sub_grind_count > 0) and grind_6_distance_ratio < grind_6_sub_thresholds[grind_6_sub_grind_count]) or ((is_derisk or is_derisk_calc) and grind_6_sub_grind_count == 0) or (is_grind_mode and grind_6_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) # and ((num_open_grinds == 0) or (slice_profit < -0.03)) and is_long_grind_entry and is_not_trade_max_stake ): buy_amount = ( slice_amount * grind_6_stakes[grind_6_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_6_sub_grind_count > 0: grind_profit = (exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate grind_profit_stake = grind_6_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (gd6) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_6_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (gd6) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_6_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "gd6" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_6_sub_grind_count > 0: grind_profit = (exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate if grind_profit > (grind_6_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_6_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (gd6) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (gd6) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gd6" for grind_entry_id in grind_6_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and ( (grind_6_sub_grind_count > 0) # and (((exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate) < grind_6_stop_grinds) and (grind_6_current_grind_stake_profit < (slice_amount * grind_6_stop_grinds)) and (is_derisk or is_derisk_calc or is_grind_mode) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_6_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_6_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate) if grind_6_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (dd6) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (dd6) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "dd6" for grind_entry_id in grind_6_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # De-risk 1 reentry if ( is_derisk_1 and not derisk_1_reentry_found and derisk_1_order is not None and ( ((current_rate - derisk_1_order.safe_price) / derisk_1_order.safe_price) < ( self.regular_mode_derisk_1_reentry_futures if self.is_futures_mode else self.regular_mode_derisk_1_reentry_spot ) ) ): if ( (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) # and ((num_open_grinds == 0) or (slice_profit < -0.03)) and ( # (last_candle["protections_long_rebuy"] == True) # and (last_candle["protections_long_global"] == True) (last_candle["global_protections_long_pump"] == True) and (last_candle["global_protections_long_dump"] == True) ) and is_long_grind_entry ): buy_amount = derisk_1_order.safe_filled * derisk_1_order.safe_price if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if derisk_1_sub_grind_count > 0: grind_profit = (exit_rate - derisk_1_current_open_rate) / derisk_1_current_open_rate grind_profit_stake = derisk_1_current_grind_stake_profit self.dp.send_msg( f"Re-entry (d1) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({derisk_1_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Re-entry (d1) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({derisk_1_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "d1" if has_order_tags: return buy_amount, order_tag else: return buy_amount # De-risk level 1 if ( has_order_tags # and not is_derisk_1 and derisk_1_reentry_found and derisk_1_reentry_order is not None # and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 5) or is_backtest) and derisk_1_distance_ratio < ( ( self.regular_mode_derisk_1_reentry_futures if self.is_futures_mode else self.regular_mode_derisk_1_reentry_spot ) / (trade.leverage if self.is_futures_mode else 1.0) ) ): sell_amount = derisk_1_reentry_order.safe_filled * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"De-risk (d1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"De-risk (d1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) return -ft_sell_amount, "d1" # # De-risk # if ( # not is_derisk_found # and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 2, 5) or is_backtest) # and profit_stake # < ( # slice_amount # * ( # (self.regular_mode_derisk_futures if self.is_futures_mode else self.regular_mode_derisk_spot) # if (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest) # else (self.regular_mode_derisk_futures_old if self.is_futures_mode else self.regular_mode_derisk_spot_old) # ) # # / (trade.leverage if self.is_futures_mode else 1.0) # ) # ): # sell_amount = trade.amount * exit_rate / trade.leverage # if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): # sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) # ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate # if sell_amount > min_stake and ft_sell_amount > min_stake: # grind_profit = 0.0 # self.dp.send_msg( # f"De-risk [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" # ) # log.info( # f"De-risk [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" # ) # return -ft_sell_amount, "d", is_derisk # # De-risk # if (num_open_grinds > 0) and ( # grinds_total_stake_profit # < (slice_amount * (self.grinds_stop_futures if self.is_futures_mode else self.grinds_stop_spot)) # ): # sell_amount = grinds_total_amount * exit_rate / trade.leverage # if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): # sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) # ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate # if sell_amount > min_stake and ft_sell_amount > min_stake: # self.dp.send_msg( # f"De-risk (dd0) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" # ) # log.info( # f"De-risk (dd0) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" # ) # order_tag = "dd0" # for grind_entry_id in ( # grind_1_buy_orders # + grind_2_buy_orders # + grind_3_buy_orders # + grind_4_buy_orders # + grind_5_buy_orders # + grind_6_buy_orders # + grind_1_derisk_1_buy_orders # + grind_2_derisk_1_buy_orders # ): # order_tag += " " + str(grind_entry_id) # if has_order_tags: # return -ft_sell_amount, order_tag # else: # return -ft_sell_amount return None # Long Grinding Entry # --------------------------------------------------------------------------------------------- def long_grind_entry( self, last_candle: Series, previous_candle: Series, slice_profit: float, is_derisk: bool ) -> float: if ( (last_candle["protections_long_global"] == True) and (last_candle["protections_long_rebuy"] == True) and (last_candle["global_protections_long_pump"] == True) and (last_candle["global_protections_long_dump"] == True) and ( (last_candle["enter_long"] == True) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3"] > 10.0) and (last_candle["RSI_3_15m"] > 10.0) and (last_candle["AROONU_14"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) and (last_candle["close"] < (last_candle["EMA_16"] * 0.988)) ) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3_15m"] > 5.0) and (last_candle["RSI_3_1h"] > 5.0) and (last_candle["RSI_3_4h"] > 5.0) and (last_candle["EMA_26"] > last_candle["EMA_12"]) and ((last_candle["EMA_26"] - last_candle["EMA_12"]) > (last_candle["open"] * 0.030)) and ((previous_candle["EMA_26"] - previous_candle["EMA_12"]) > (last_candle["open"] / 100.0)) ) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3"] > 5.0) and (last_candle["RSI_3_15m"] > 10.0) and (last_candle["RSI_3_1h"] > 10.0) and (last_candle["RSI_3_4h"] > 10.0) and (last_candle["EMA_26"] > last_candle["EMA_12"]) and ((last_candle["EMA_26"] - last_candle["EMA_12"]) > (last_candle["open"] * 0.020)) and ((previous_candle["EMA_26"] - previous_candle["EMA_12"]) > (last_candle["open"] / 100.0)) ) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3"] > 16.0) and (last_candle["AROONU_14_15m"] < 25.0) and (last_candle["close"] < (last_candle["EMA_12"] * 0.984)) ) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3_15m"] > 10.0) and (last_candle["RSI_3_1h"] > 10.0) and (last_candle["RSI_3_4h"] > 10.0) and (last_candle["AROONU_14_1h"] > last_candle["AROOND_14_1h"]) and (last_candle["AROONU_14_4h"] > last_candle["AROOND_14_4h"]) and (last_candle["close"] < (last_candle["EMA_26"] * 0.978)) and (last_candle["close"] < (last_candle["BBL_20_2.0"] * 0.999)) ) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3_1h"] > 20.0) and (last_candle["RSI_3_4h"] > 20.0) and (last_candle["RSI_14_1h"] < 80.0) and (last_candle["RSI_14_4h"] < 60.0) and (last_candle["AROONU_14"] > last_candle["AROOND_14"]) and (previous_candle["AROONU_14"] < previous_candle["AROOND_14"]) ) or ( (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3_15m"] > 15.0) and (last_candle["RSI_3_1h"] > 20.0) and (last_candle["RSI_3_4h"] > 20.0) and (last_candle["RSI_14_1h"] < 80.0) and (last_candle["RSI_14_4h"] < 60.0) and (last_candle["KST_10_15_20_30_10_10_10_15"] > last_candle["KSTs_9"]) and (previous_candle["KST_10_15_20_30_10_10_10_15"] < previous_candle["KSTs_9"]) ) or ( is_derisk and (last_candle["RSI_3"] > 20.0) and (last_candle["RSI_3_15m"] > 20.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["AROONU_14"] < 25.0) and (last_candle["AROONU_14_15m"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_15m"] < 50.0) ) ) ): return True return False # Long Grinding Adjust Trade Position No De-Risk # --------------------------------------------------------------------------------------------- def long_adjust_trade_position_no_derisk( self, trade: Trade, enter_tags, current_time: datetime, current_rate: float, current_profit: float, min_stake: Optional[float], max_stake: float, current_entry_rate: float, current_exit_rate: float, current_entry_profit: float, current_exit_profit: float, last_candle: Series, previous_candle: Series, filled_orders: "Orders", filled_entries: "Orders", filled_exits: "Orders", exit_rate: float, slice_amount: float, slice_profit_entry: float, slice_profit: float, profit_ratio: float, profit_stake: float, profit_init_ratio: float, current_stake_amount: float, has_order_tags: bool, **kwargs, ) -> tuple[Optional[float], str, bool]: is_backtest = self.dp.runmode.value in ["backtest", "hyperopt"] max_rebuy_sub_grinds = 0 regular_mode_rebuy_stakes = ( self.regular_mode_rebuy_stakes_futures.copy() if self.is_futures_mode else self.regular_mode_rebuy_stakes_spot.copy() ) regular_mode_rebuy_sub_thresholds = ( self.regular_mode_rebuy_thresholds_futures if self.is_futures_mode else self.regular_mode_rebuy_thresholds_spot ) if (slice_amount * regular_mode_rebuy_stakes[0] / trade.leverage) < min_stake: multi = min_stake / slice_amount / regular_mode_rebuy_stakes[0] * trade.leverage for i, _ in enumerate(regular_mode_rebuy_stakes): regular_mode_rebuy_stakes[i] *= multi max_rebuy_sub_grinds = len(regular_mode_rebuy_stakes) max_grind_1_sub_grinds = 0 regular_mode_grind_1_stakes = ( self.regular_mode_grind_1_stakes_futures.copy() if self.is_futures_mode else self.regular_mode_grind_1_stakes_spot.copy() ) regular_mode_grind_1_sub_thresholds = ( self.regular_mode_grind_1_thresholds_futures if self.is_futures_mode else self.regular_mode_grind_1_thresholds_spot ) if (slice_amount * regular_mode_grind_1_stakes[0] / trade.leverage) < min_stake: multi = min_stake / slice_amount / regular_mode_grind_1_stakes[0] * trade.leverage for i, _ in enumerate(regular_mode_grind_1_stakes): regular_mode_grind_1_stakes[i] *= multi max_grind_1_sub_grinds = len(regular_mode_grind_1_stakes) regular_mode_grind_1_stop_grinds = ( self.regular_mode_grind_1_stop_grinds_futures if self.is_futures_mode else self.regular_mode_grind_1_stop_grinds_spot ) regular_mode_grind_1_profit_threshold = ( self.regular_mode_grind_1_profit_threshold_futures if self.is_futures_mode else self.regular_mode_grind_1_profit_threshold_spot ) max_grind_2_sub_grinds = 0 regular_mode_grind_2_stakes = ( self.regular_mode_grind_2_stakes_futures.copy() if self.is_futures_mode else self.regular_mode_grind_2_stakes_spot.copy() ) regular_mode_grind_2_sub_thresholds = ( self.regular_mode_grind_2_thresholds_futures if self.is_futures_mode else self.regular_mode_grind_2_thresholds_spot ) if (slice_amount * regular_mode_grind_2_stakes[0] / trade.leverage) < min_stake: multi = min_stake / slice_amount / regular_mode_grind_2_stakes[0] * trade.leverage for i, _ in enumerate(regular_mode_grind_2_stakes): regular_mode_grind_2_stakes[i] *= multi max_grind_2_sub_grinds = len(regular_mode_grind_2_stakes) regular_mode_grind_2_stop_grinds = ( self.regular_mode_grind_2_stop_grinds_futures if self.is_futures_mode else self.regular_mode_grind_2_stop_grinds_spot ) regular_mode_grind_2_profit_threshold = ( self.regular_mode_grind_2_profit_threshold_futures if self.is_futures_mode else self.regular_mode_grind_2_profit_threshold_spot ) max_grind_3_sub_grinds = 0 regular_mode_grind_3_stakes = ( self.regular_mode_grind_3_stakes_futures.copy() if self.is_futures_mode else self.regular_mode_grind_3_stakes_spot.copy() ) regular_mode_grind_3_sub_thresholds = ( self.regular_mode_grind_3_thresholds_futures if self.is_futures_mode else self.regular_mode_grind_3_thresholds_spot ) if (slice_amount * regular_mode_grind_3_stakes[0] / trade.leverage) < min_stake: multi = min_stake / slice_amount / regular_mode_grind_3_stakes[0] * trade.leverage for i, _ in enumerate(regular_mode_grind_3_stakes): regular_mode_grind_3_stakes[i] *= multi max_grind_3_sub_grinds = len(regular_mode_grind_3_stakes) regular_mode_grind_3_stop_grinds = ( self.regular_mode_grind_3_stop_grinds_futures if self.is_futures_mode else self.regular_mode_grind_3_stop_grinds_spot ) regular_mode_grind_3_profit_threshold = ( self.regular_mode_grind_3_profit_threshold_futures if self.is_futures_mode else self.regular_mode_grind_3_profit_threshold_spot ) max_grind_4_sub_grinds = 0 regular_mode_grind_4_stakes = ( self.regular_mode_grind_4_stakes_futures.copy() if self.is_futures_mode else self.regular_mode_grind_4_stakes_spot.copy() ) regular_mode_grind_4_sub_thresholds = ( self.regular_mode_grind_4_thresholds_futures if self.is_futures_mode else self.regular_mode_grind_4_thresholds_spot ) if (slice_amount * regular_mode_grind_4_stakes[0] / trade.leverage) < min_stake: multi = min_stake / slice_amount / regular_mode_grind_4_stakes[0] * trade.leverage for i, _ in enumerate(regular_mode_grind_4_stakes): regular_mode_grind_4_stakes[i] *= multi max_grind_4_sub_grinds = len(regular_mode_grind_4_stakes) regular_mode_grind_4_stop_grinds = ( self.regular_mode_grind_4_stop_grinds_futures if self.is_futures_mode else self.regular_mode_grind_4_stop_grinds_spot ) regular_mode_grind_4_profit_threshold = ( self.regular_mode_grind_4_profit_threshold_futures if self.is_futures_mode else self.regular_mode_grind_4_profit_threshold_spot ) max_grind_5_sub_grinds = 0 regular_mode_grind_5_stakes = ( self.regular_mode_grind_5_stakes_futures.copy() if self.is_futures_mode else self.regular_mode_grind_5_stakes_spot.copy() ) regular_mode_grind_5_sub_thresholds = ( self.regular_mode_grind_5_thresholds_futures if self.is_futures_mode else self.regular_mode_grind_5_thresholds_spot ) if (slice_amount * regular_mode_grind_5_stakes[0] / trade.leverage) < min_stake: multi = min_stake / slice_amount / regular_mode_grind_5_stakes[0] * trade.leverage for i, _ in enumerate(regular_mode_grind_5_stakes): regular_mode_grind_5_stakes[i] *= multi max_grind_5_sub_grinds = len(regular_mode_grind_5_stakes) regular_mode_grind_5_stop_grinds = ( self.regular_mode_grind_5_stop_grinds_futures if self.is_futures_mode else self.regular_mode_grind_5_stop_grinds_spot ) regular_mode_grind_5_profit_threshold = ( self.regular_mode_grind_5_profit_threshold_futures if self.is_futures_mode else self.regular_mode_grind_5_profit_threshold_spot ) max_grind_6_sub_grinds = 0 regular_mode_grind_6_stakes = ( self.regular_mode_grind_6_stakes_futures.copy() if self.is_futures_mode else self.regular_mode_grind_6_stakes_spot.copy() ) regular_mode_grind_6_sub_thresholds = ( self.regular_mode_grind_6_thresholds_futures if self.is_futures_mode else self.regular_mode_grind_6_thresholds_spot ) if (slice_amount * regular_mode_grind_6_stakes[0] / trade.leverage) < min_stake: multi = min_stake / slice_amount / regular_mode_grind_6_stakes[0] * trade.leverage for i, _ in enumerate(regular_mode_grind_6_stakes): regular_mode_grind_6_stakes[i] *= multi max_grind_6_sub_grinds = len(regular_mode_grind_6_stakes) regular_mode_grind_6_stop_grinds = ( self.regular_mode_grind_6_stop_grinds_futures if self.is_futures_mode else self.regular_mode_grind_6_stop_grinds_spot ) regular_mode_grind_6_profit_threshold = ( self.regular_mode_grind_6_profit_threshold_futures if self.is_futures_mode else self.regular_mode_grind_6_profit_threshold_spot ) partial_sell = False is_derisk = False is_derisk_1 = False rebuy_sub_grind_count = 0 rebuy_total_amount = 0.0 rebuy_total_cost = 0.0 rebuy_current_open_rate = 0.0 rebuy_current_grind_stake = 0.0 rebuy_current_grind_stake_profit = 0.0 rebuy_is_sell_found = False rebuy_found = False rebuy_buy_orders = [] rebuy_distance_ratio = 0.0 grind_1_sub_grind_count = 0 grind_1_total_amount = 0.0 grind_1_total_cost = 0.0 grind_1_current_open_rate = 0.0 grind_1_current_grind_stake = 0.0 grind_1_current_grind_stake_profit = 0.0 grind_1_is_sell_found = False grind_1_found = False grind_1_buy_orders = [] grind_1_distance_ratio = 0.0 grind_2_sub_grind_count = 0 grind_2_total_amount = 0.0 grind_2_total_cost = 0.0 grind_2_current_open_rate = 0.0 grind_2_current_grind_stake = 0.0 grind_2_current_grind_stake_profit = 0.0 grind_2_is_sell_found = False grind_2_found = False grind_2_buy_orders = [] grind_2_distance_ratio = 0.0 grind_3_sub_grind_count = 0 grind_3_total_amount = 0.0 grind_3_total_cost = 0.0 grind_3_current_open_rate = 0.0 grind_3_current_grind_stake = 0.0 grind_3_current_grind_stake_profit = 0.0 grind_3_is_sell_found = False grind_3_found = False grind_3_buy_orders = [] grind_3_distance_ratio = 0.0 grind_4_sub_grind_count = 0 grind_4_total_amount = 0.0 grind_4_total_cost = 0.0 grind_4_current_open_rate = 0.0 grind_4_current_grind_stake = 0.0 grind_4_current_grind_stake_profit = 0.0 grind_4_is_sell_found = False grind_4_found = False grind_4_buy_orders = [] grind_4_distance_ratio = 0.0 grind_5_sub_grind_count = 0 grind_5_total_amount = 0.0 grind_5_total_cost = 0.0 grind_5_current_open_rate = 0.0 grind_5_current_grind_stake = 0.0 grind_5_current_grind_stake_profit = 0.0 grind_5_is_sell_found = False grind_5_found = False grind_5_buy_orders = [] grind_5_distance_ratio = 0.0 grind_6_sub_grind_count = 0 grind_6_total_amount = 0.0 grind_6_total_cost = 0.0 grind_6_current_open_rate = 0.0 grind_6_current_grind_stake = 0.0 grind_6_current_grind_stake_profit = 0.0 grind_6_is_sell_found = False grind_6_found = False grind_6_buy_orders = [] grind_6_distance_ratio = 0.0 for order in reversed(filled_orders): if (order.ft_order_side == "buy") and (order is not filled_orders[0]): order_tag = "" if has_order_tags: if order.ft_order_tag is not None: order_tag = order.ft_order_tag if not grind_1_is_sell_found and order_tag == "g1": grind_1_sub_grind_count += 1 grind_1_total_amount += order.safe_filled grind_1_total_cost += order.safe_filled * order.safe_price grind_1_buy_orders.append(order.id) if not grind_1_found: grind_1_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_1_found = True elif not grind_2_is_sell_found and order_tag == "g2": grind_2_sub_grind_count += 1 grind_2_total_amount += order.safe_filled grind_2_total_cost += order.safe_filled * order.safe_price grind_2_buy_orders.append(order.id) if not grind_2_found: grind_2_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_2_found = True elif not grind_3_is_sell_found and order_tag == "g3": grind_3_sub_grind_count += 1 grind_3_total_amount += order.safe_filled grind_3_total_cost += order.safe_filled * order.safe_price grind_3_buy_orders.append(order.id) if not grind_3_found: grind_3_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_3_found = True elif not grind_4_is_sell_found and order_tag == "g4": grind_4_sub_grind_count += 1 grind_4_total_amount += order.safe_filled grind_4_total_cost += order.safe_filled * order.safe_price grind_4_buy_orders.append(order.id) if not grind_4_found: grind_4_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_4_found = True elif not grind_5_is_sell_found and order_tag == "g5": grind_5_sub_grind_count += 1 grind_5_total_amount += order.safe_filled grind_5_total_cost += order.safe_filled * order.safe_price grind_5_buy_orders.append(order.id) if not grind_5_found: grind_5_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_5_found = True elif not grind_6_is_sell_found and order_tag == "g6": grind_6_sub_grind_count += 1 grind_6_total_amount += order.safe_filled grind_6_total_cost += order.safe_filled * order.safe_price grind_6_buy_orders.append(order.id) if not grind_6_found: grind_6_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_6_found = True elif not rebuy_is_sell_found and order_tag not in [ "g1", "g2", "g3", "g4", "g5", "g6", "sg1", "sg2", "sg3", "sg4", "sg5", "sg6", "dl1", "dl2", "gd1", "gd2", "gd3", "gd4", "gd5", "gd6", "gm0", "gmd0", ]: rebuy_sub_grind_count += 1 rebuy_total_amount += order.safe_filled rebuy_total_cost += order.safe_filled * order.safe_price rebuy_buy_orders.append(order.id) if not rebuy_found: rebuy_distance_ratio = (exit_rate - order.safe_price) / order.safe_price rebuy_found = True elif order.ft_order_side == "sell": if ( order is filled_exits[-1] and (order.safe_remaining * exit_rate / (trade.leverage if self.is_futures_mode else 1.0)) > min_stake ): partial_sell = True break order_tag = "" if has_order_tags: if order.ft_order_tag is not None: sell_order_tag = order.ft_order_tag order_mode = sell_order_tag.split(" ", 1) if len(order_mode) > 0: order_tag = order_mode[0] if order_tag in ["g1", "sg1"]: grind_1_is_sell_found = True elif order_tag in ["g2", "sg2"]: grind_2_is_sell_found = True elif order_tag in ["g3", "sg3"]: grind_3_is_sell_found = True elif order_tag in ["g4", "sg4"]: grind_4_is_sell_found = True elif order_tag in ["g5", "sg5"]: grind_5_is_sell_found = True elif order_tag in ["g6", "sg6"]: grind_6_is_sell_found = True elif order_tag in ["d", "d1", "dd0", "ddl1", "ddl2", "dd1", "dd2", "dd3", "dd4", "dd5", "dd6"]: is_derisk = True if order_tag in ["d1"]: is_derisk_1 = True grind_1_is_sell_found = True grind_2_is_sell_found = True grind_3_is_sell_found = True grind_4_is_sell_found = True grind_5_is_sell_found = True grind_6_is_sell_found = True rebuy_is_sell_found = True elif order_tag not in [ "p", "g1", "g2", "g3", "g4", "g5", "g6", "sg1", "sg2", "sg3", "sg4", "sg5", "sg6", "dl1", "dl2", "gd1", "gd2", "gd3", "gd4", "gd5", "gd6", "gm0", "gmd0", ]: rebuy_is_sell_found = True if not is_derisk: start_amount = filled_orders[0].safe_filled current_amount = 0.0 for order2 in filled_orders: if order2.ft_order_side == "buy": current_amount += order2.safe_filled elif order2.ft_order_side == "sell": current_amount -= order2.safe_filled if order2 is order: if current_amount < (start_amount * 0.95): is_derisk = True # found sells for all modes if ( rebuy_is_sell_found and grind_1_is_sell_found and grind_2_is_sell_found and grind_3_is_sell_found and grind_4_is_sell_found and grind_5_is_sell_found and grind_6_is_sell_found ): break # The trade already de-risked if is_derisk: return None, "", is_derisk if not has_order_tags and len(filled_exits) > 0: return None, "", is_derisk if rebuy_sub_grind_count > 0: rebuy_current_open_rate = rebuy_total_cost / rebuy_total_amount rebuy_current_grind_stake = rebuy_total_amount * exit_rate * (1 - trade.fee_close) rebuy_current_grind_stake_profit = rebuy_current_grind_stake - rebuy_total_cost if grind_1_sub_grind_count > 0: grind_1_current_open_rate = grind_1_total_cost / grind_1_total_amount grind_1_current_grind_stake = grind_1_total_amount * exit_rate * (1 - trade.fee_close) grind_1_current_grind_stake_profit = grind_1_current_grind_stake - grind_1_total_cost if grind_2_sub_grind_count > 0: grind_2_current_open_rate = grind_2_total_cost / grind_2_total_amount grind_2_current_grind_stake = grind_2_total_amount * exit_rate * (1 - trade.fee_close) grind_2_current_grind_stake_profit = grind_2_current_grind_stake - grind_2_total_cost if grind_3_sub_grind_count > 0: grind_3_current_open_rate = grind_3_total_cost / grind_3_total_amount grind_3_current_grind_stake = grind_3_total_amount * exit_rate * (1 - trade.fee_close) grind_3_current_grind_stake_profit = grind_3_current_grind_stake - grind_3_total_cost if grind_4_sub_grind_count > 0: grind_4_current_open_rate = grind_4_total_cost / grind_4_total_amount grind_4_current_grind_stake = grind_4_total_amount * exit_rate * (1 - trade.fee_close) grind_4_current_grind_stake_profit = grind_4_current_grind_stake - grind_4_total_cost if grind_5_sub_grind_count > 0: grind_5_current_open_rate = grind_5_total_cost / grind_5_total_amount grind_5_current_grind_stake = grind_5_total_amount * exit_rate * (1 - trade.fee_close) grind_5_current_grind_stake_profit = grind_5_current_grind_stake - grind_5_total_cost if grind_6_sub_grind_count > 0: grind_6_current_open_rate = grind_6_total_cost / grind_6_total_amount grind_6_current_grind_stake = grind_6_total_amount * exit_rate * (1 - trade.fee_close) grind_6_current_grind_stake_profit = grind_6_current_grind_stake - grind_6_total_cost num_open_grinds = ( grind_1_sub_grind_count + grind_2_sub_grind_count + grind_3_sub_grind_count + grind_4_sub_grind_count + grind_5_sub_grind_count + grind_6_sub_grind_count ) is_derisk_mode = all(c in self.long_derisk_mode_tags for c in enter_tags) fee_open_rate = trade.fee_open if self.custom_fee_open_rate is None else self.custom_fee_open_rate fee_close_rate = trade.fee_close if self.custom_fee_close_rate is None else self.custom_fee_close_rate # Sell remaining if partial fill on exit if partial_sell: order = filled_exits[-1] sell_amount = order.safe_remaining * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Exit (remaining) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {order.safe_remaining} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "p" if has_order_tags: if order.ft_order_tag is not None: order_tag = order.ft_order_tag return -ft_sell_amount, order_tag, is_derisk is_long_grind_entry = self.long_grind_entry(last_candle, previous_candle, slice_profit, False) # Rebuy if (not partial_sell) and (not rebuy_is_sell_found) and (rebuy_sub_grind_count < max_rebuy_sub_grinds): if ( (0 <= rebuy_sub_grind_count < max_rebuy_sub_grinds) and (slice_profit_entry < regular_mode_rebuy_sub_thresholds[rebuy_sub_grind_count]) and ( (rebuy_distance_ratio if (rebuy_sub_grind_count > 0) else profit_init_ratio) < (regular_mode_rebuy_sub_thresholds[rebuy_sub_grind_count]) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=12) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06)) and is_long_grind_entry ): buy_amount = ( slice_amount * regular_mode_rebuy_stakes[rebuy_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount > max_stake: buy_amount = max_stake if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk self.dp.send_msg( f"Rebuy (r) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Rebuy (r) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "r" return buy_amount, order_tag, is_derisk # Grinding g1 # Grinding entry if has_order_tags and (not partial_sell) and (grind_1_sub_grind_count < max_grind_1_sub_grinds): if ( ( (grind_1_distance_ratio if (grind_1_sub_grind_count > 0) else profit_init_ratio) < (regular_mode_grind_1_sub_thresholds[grind_1_sub_grind_count]) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) and ((num_open_grinds == 0) or (slice_profit < -0.03)) and is_long_grind_entry ): buy_amount = ( slice_amount * regular_mode_grind_1_stakes[grind_1_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk grind_profit = 0.0 grind_profit_stake = 0.0 if grind_1_sub_grind_count > 0: grind_profit = (exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate grind_profit_stake = grind_1_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (g1) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (g1) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "g1" return buy_amount, order_tag, is_derisk if ( self.is_futures_mode and has_order_tags and (not partial_sell) and slice_profit < (-0.65 / trade.leverage) and (grind_1_sub_grind_count < max_grind_1_sub_grinds) ): buy_amount = ( slice_amount * regular_mode_grind_1_stakes[grind_1_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk grind_profit = 0.0 grind_profit_stake = 0.0 if grind_1_sub_grind_count > 0: grind_profit = (exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate grind_profit_stake = grind_1_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (g1) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (g1) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "g1" return buy_amount, order_tag, is_derisk # Grinding Exit if has_order_tags and grind_1_sub_grind_count > 0: grind_profit = (exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate if grind_profit > (regular_mode_grind_1_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (g1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (g1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "g1" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grind stop if ( ( (grind_1_sub_grind_count > 0) and self.regular_mode_use_grind_stops and (((exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate) < regular_mode_grind_1_stop_grinds) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest) ): sell_amount = grind_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_1_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate) if grind_1_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (sg1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (sg1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "sg1" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grinding g2 # Grinding entry if has_order_tags and (not partial_sell) and (grind_2_sub_grind_count < max_grind_2_sub_grinds): if ( ( (grind_2_distance_ratio if (grind_2_sub_grind_count > 0) else profit_init_ratio) < (regular_mode_grind_2_sub_thresholds[grind_2_sub_grind_count]) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) and ((num_open_grinds == 0) or (slice_profit < -0.03)) and is_long_grind_entry ): buy_amount = ( slice_amount * regular_mode_grind_2_stakes[grind_2_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk grind_profit = 0.0 grind_profit_stake = 0.0 if grind_2_sub_grind_count > 0: grind_profit = (exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate grind_profit_stake = grind_2_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (g2) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_2_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (g2) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_2_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "g2" return buy_amount, order_tag, is_derisk # Grinding Exit if has_order_tags and grind_2_sub_grind_count > 0: grind_profit = (exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate if grind_profit > (regular_mode_grind_2_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_2_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (g2) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (g2) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "g2" for grind_entry_id in grind_2_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grind stop if ( ( (grind_2_sub_grind_count > 0) and self.regular_mode_use_grind_stops and (((exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate) < regular_mode_grind_2_stop_grinds) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest) ): sell_amount = grind_2_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_2_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate) if grind_2_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (sg2) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (sg2) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "sg2" for grind_entry_id in grind_2_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grinding g3 # Grinding entry if has_order_tags and (not partial_sell) and (grind_3_sub_grind_count < max_grind_3_sub_grinds): if ( ( (grind_3_distance_ratio if (grind_3_sub_grind_count > 0) else profit_init_ratio) < (regular_mode_grind_3_sub_thresholds[grind_3_sub_grind_count]) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) and ((num_open_grinds == 0) or (slice_profit < -0.03)) and is_long_grind_entry ): buy_amount = ( slice_amount * regular_mode_grind_3_stakes[grind_3_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk grind_profit = 0.0 grind_profit_stake = 0.0 if grind_3_sub_grind_count > 0: grind_profit = (exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate grind_profit_stake = grind_3_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (g3) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_3_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (g3) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_3_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "g3" return buy_amount, order_tag, is_derisk # Grinding Exit if has_order_tags and grind_3_sub_grind_count > 0: grind_profit = (exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate if grind_profit > (regular_mode_grind_3_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_3_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (g3) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (g3) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "g3" for grind_entry_id in grind_3_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grind stop if ( ( (grind_3_sub_grind_count > 0) and self.regular_mode_use_grind_stops and (((exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate) < regular_mode_grind_3_stop_grinds) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest) ): sell_amount = grind_3_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_3_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate) if grind_3_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (sg3) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (sg3) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "sg3" for grind_entry_id in grind_3_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grinding g4 # Grinding entry if has_order_tags and (not partial_sell) and (grind_4_sub_grind_count < max_grind_4_sub_grinds): if ( ( (grind_4_distance_ratio if (grind_4_sub_grind_count > 0) else profit_init_ratio) < (regular_mode_grind_4_sub_thresholds[grind_4_sub_grind_count]) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) and ((num_open_grinds == 0) or (slice_profit < -0.03)) and is_long_grind_entry ): buy_amount = ( slice_amount * regular_mode_grind_4_stakes[grind_4_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk grind_profit = 0.0 grind_profit_stake = 0.0 if grind_4_sub_grind_count > 0: grind_profit = (exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate grind_profit_stake = grind_4_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (g4) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_4_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (g4) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_4_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "g4" return buy_amount, order_tag, is_derisk # Grinding Exit if has_order_tags and grind_4_sub_grind_count > 0: grind_profit = (exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate if grind_profit > (regular_mode_grind_4_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_4_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (g4) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (g4) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "g4" for grind_entry_id in grind_4_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grind stop if ( ( (grind_4_sub_grind_count > 0) and self.regular_mode_use_grind_stops and (((exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate) < regular_mode_grind_4_stop_grinds) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest) ): sell_amount = grind_4_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_4_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate) if grind_4_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (sg4) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (sg4) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "sg4" for grind_entry_id in grind_4_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grinding g5 # Grinding entry if has_order_tags and (not partial_sell) and (grind_5_sub_grind_count < max_grind_5_sub_grinds): if ( ( (grind_5_distance_ratio if (grind_5_sub_grind_count > 0) else profit_init_ratio) < (regular_mode_grind_5_sub_thresholds[grind_5_sub_grind_count]) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) and ((num_open_grinds == 0) or (slice_profit < -0.03)) and is_long_grind_entry ): buy_amount = ( slice_amount * regular_mode_grind_5_stakes[grind_5_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk grind_profit = 0.0 grind_profit_stake = 0.0 if grind_5_sub_grind_count > 0: grind_profit = (exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate grind_profit_stake = grind_5_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (g5) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_5_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (g5) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_5_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "g5" return buy_amount, order_tag, is_derisk # Grinding Exit if has_order_tags and grind_5_sub_grind_count > 0: grind_profit = (exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate if grind_profit > (regular_mode_grind_5_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_5_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (g5) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (g5) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "g5" for grind_entry_id in grind_5_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grind stop if ( ( (grind_5_sub_grind_count > 0) and self.regular_mode_use_grind_stops and (((exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate) < regular_mode_grind_5_stop_grinds) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest) ): sell_amount = grind_5_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_5_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate) if grind_5_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (sg5) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (sg5) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "sg5" for grind_entry_id in grind_5_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grinding g6 # Grinding entry if has_order_tags and (not partial_sell) and (grind_6_sub_grind_count < max_grind_6_sub_grinds): if ( ( (grind_6_distance_ratio if (grind_6_sub_grind_count > 0) else profit_init_ratio) < (regular_mode_grind_6_sub_thresholds[grind_6_sub_grind_count]) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit < -0.06) ) # and ((num_open_grinds == 0) or (slice_profit < -0.03)) and (is_long_grind_entry) ): buy_amount = ( slice_amount * regular_mode_grind_6_stakes[grind_6_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk grind_profit = 0.0 grind_profit_stake = 0.0 if grind_6_sub_grind_count > 0: grind_profit = (exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate grind_profit_stake = grind_6_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (g6) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_6_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (g6) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_6_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "g6" return buy_amount, order_tag, is_derisk # Grinding Exit if has_order_tags and grind_6_sub_grind_count > 0: grind_profit = (exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate if grind_profit > (regular_mode_grind_6_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_6_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (g6) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (g6) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "g6" for grind_entry_id in grind_6_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grind stop if ( ( (grind_6_sub_grind_count > 0) and self.regular_mode_use_grind_stops and (((exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate) < regular_mode_grind_6_stop_grinds) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest) ): sell_amount = grind_6_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_6_current_open_rate > 0.0: grind_profit = ( ((exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate) if grind_6_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (sg6) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (sg6) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "sg6" for grind_entry_id in grind_6_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # De-risk if ( self.derisk_enable and ( profit_stake < ( slice_amount * ( (self.regular_mode_derisk_futures if self.is_futures_mode else self.regular_mode_derisk_spot) if (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) else (self.regular_mode_derisk_futures_old if self.is_futures_mode else self.regular_mode_derisk_spot_old) ) / trade.leverage ) ) and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = trade.amount * exit_rate / trade.leverage - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"De-risk [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"De-risk [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) return -ft_sell_amount, "d", is_derisk # De-risk level 1 if ( self.derisk_enable and has_order_tags and not is_derisk_1 and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) and profit_stake < ( slice_amount * ( ( self.regular_mode_derisk_1_derisk_mode_futures if self.is_futures_mode else self.regular_mode_derisk_1_derisk_mode_spot ) if is_derisk_mode else ( (self.regular_mode_derisk_1_futures if self.is_futures_mode else self.regular_mode_derisk_1_spot) if (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) else ( self.regular_mode_derisk_1_futures_old if self.is_futures_mode else self.regular_mode_derisk_1_spot_old ) ) ) / trade.leverage ) ): sell_amount = trade.amount * exit_rate / trade.leverage - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"De-risk (d1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"De-risk (d1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) return -ft_sell_amount, "d1", is_derisk return None, "", is_derisk # Long Rebuy Adjust Trade Position # --------------------------------------------------------------------------------------------- def long_rebuy_adjust_trade_position( self, trade: Trade, enter_tags, current_time: datetime, current_rate: float, current_profit: float, min_stake: Optional[float], max_stake: float, current_entry_rate: float, current_exit_rate: float, current_entry_profit: float, current_exit_profit: float, **kwargs, ) -> Optional[float]: # min/max stakes include leverage. The return amounts is before leverage. min_stake /= trade.leverage max_stake /= trade.leverage df, _ = self.dp.get_analyzed_dataframe(trade.pair, self.timeframe) if len(df) < 2: return None last_candle = df.iloc[-1].squeeze() previous_candle = df.iloc[-2].squeeze() filled_orders = trade.select_filled_orders() filled_entries = trade.select_filled_orders(trade.entry_side) filled_exits = trade.select_filled_orders(trade.exit_side) count_of_entries = trade.nr_of_successful_entries count_of_exits = trade.nr_of_successful_exits if count_of_entries == 0: return None has_order_tags = False if hasattr(filled_orders[0], "ft_order_tag"): has_order_tags = True # The first exit is de-risk (providing the trade is still open) if count_of_exits > 0: return self.long_grind_adjust_trade_position( trade, enter_tags, current_time, current_rate, current_profit, min_stake, max_stake, current_entry_rate, current_exit_rate, current_entry_profit, current_exit_profit, ) exit_rate = current_rate if self.dp.runmode.value in ("live", "dry_run"): ticker = self.dp.ticker(trade.pair) if ("bid" in ticker) and ("ask" in ticker): if trade.is_short: if self.config["exit_pricing"]["price_side"] in ["ask", "other"]: if ticker["ask"] is not None: exit_rate = ticker["ask"] else: if self.config["exit_pricing"]["price_side"] in ["bid", "other"]: if ticker["bid"] is not None: exit_rate = ticker["bid"] profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio = self.calc_total_profit( trade, filled_entries, filled_exits, exit_rate ) slice_amount = filled_entries[0].cost slice_profit = (exit_rate - filled_orders[-1].safe_price) / filled_orders[-1].safe_price slice_profit_entry = (exit_rate - filled_entries[-1].safe_price) / filled_entries[-1].safe_price slice_profit_exit = ( ((exit_rate - filled_exits[-1].safe_price) / filled_exits[-1].safe_price) if count_of_exits > 0 else 0.0 ) current_stake_amount = trade.amount * current_rate is_rebuy = False rebuy_mode_stakes = self.rebuy_mode_stakes_futures if self.is_futures_mode else self.rebuy_mode_stakes_spot max_sub_grinds = len(rebuy_mode_stakes) rebuy_mode_sub_thresholds = ( self.rebuy_mode_thresholds_futures if self.is_futures_mode else self.rebuy_mode_thresholds_spot ) partial_sell = False sub_grind_count = 0 total_amount = 0.0 total_cost = 0.0 current_open_rate = 0.0 current_grind_stake = 0.0 current_grind_stake_profit = 0.0 for order in reversed(filled_orders): if (order.ft_order_side == "buy") and (order is not filled_orders[0]): sub_grind_count += 1 total_amount += order.safe_filled total_cost += order.safe_filled * order.safe_price elif order.ft_order_side == "sell": if (order.safe_remaining * exit_rate / (trade.leverage if self.is_futures_mode else 1.0)) > min_stake: partial_sell = True break if sub_grind_count > 0: current_open_rate = total_cost / total_amount current_grind_stake = total_amount * exit_rate * (1 - trade.fee_close) current_grind_stake_profit = current_grind_stake - total_cost if (not partial_sell) and (sub_grind_count < max_sub_grinds): if ( ((0 <= sub_grind_count < max_sub_grinds) and (slice_profit_entry < rebuy_mode_sub_thresholds[sub_grind_count])) and (last_candle["protections_long_global"] == True) and (last_candle["protections_long_rebuy"] == True) and (last_candle["global_protections_long_pump"] == True) and (last_candle["global_protections_long_dump"] == True) # and ( # (last_candle["close"] > (last_candle["close_max_12"] * 0.94)) # and (last_candle["close"] > (last_candle["close_max_24"] * 0.92)) # and (last_candle["close"] > (last_candle["close_max_48"] * 0.90)) # and (last_candle["close"] > (last_candle["high_max_24_1h"] * 0.88)) # and (last_candle["close"] > (last_candle["high_max_48_1h"] * 0.86)) # and (last_candle["btc_pct_close_max_72_5m"] < 0.03) # and (last_candle["btc_pct_close_max_24_5m"] < 0.03) # ) and ( (last_candle["RSI_3"] > 10.0) and (last_candle["RSI_3_15m"] > 10.0) and (last_candle["RSI_3_1h"] > 10.0) and (last_candle["RSI_3_4h"] > 10.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["close"] < (last_candle["EMA_26"] * 0.988)) ) ): buy_amount = ( slice_amount * rebuy_mode_stakes[sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount > max_stake: buy_amount = max_stake if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 self.dp.send_msg( f"Rebuy (r) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Rebuy (r) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) if has_order_tags: return buy_amount, "r" else: return buy_amount if profit_stake < ( slice_amount * (self.rebuy_mode_derisk_futures if self.is_futures_mode else self.rebuy_mode_derisk_spot) # / (trade.leverage if self.is_futures_mode else 1.0) ): sell_amount = trade.amount * exit_rate / trade.leverage - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"Rebuy de-risk (d1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Rebuy de-risk (d1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) if has_order_tags: return -ft_sell_amount, "d1" else: return -ft_sell_amount return None ############################################################################################### # LONG GRIND FUNCTIONS ENDS HERE ############################################################################################### # ______ __ __ ______ _______ ________ ______ ______ _______ ________ # / \ | \ | \ / \ | \| \ / \ | \| \ | \ # | $$$$$$\| $$ | $$| $$$$$$\| $$$$$$$\\$$$$$$$$ | $$$$$$\ \$$$$$$| $$$$$$$\| $$$$$$$$ # | $$___\$$| $$__| $$| $$ | $$| $$__| $$ | $$ | $$___\$$ | $$ | $$ | $$| $$__ # \$$ \ | $$ $$| $$ | $$| $$ $$ | $$ \$$ \ | $$ | $$ | $$| $$ \ # _\$$$$$$\| $$$$$$$$| $$ | $$| $$$$$$$\ | $$ _\$$$$$$\ | $$ | $$ | $$| $$$$$ # | \__| $$| $$ | $$| $$__/ $$| $$ | $$ | $$ | \__| $$ _| $$_ | $$__/ $$| $$_____ # \$$ $$| $$ | $$ \$$ $$| $$ | $$ | $$ \$$ $$| $$ \| $$ $$| $$ \ # \$$$$$$ \$$ \$$ \$$$$$$ \$$ \$$ \$$ \$$$$$$ \$$$$$$ \$$$$$$$ \$$$$$$$$ # # Short Side Functions for handling short orders # --------------------------------------------------------------------------------------------- ############################################################################################### # SHORT EXIT FUNCTIONS STARTS HERE ############################################################################################### # ______ __ __ ______ _______ ________ ________ __ __ ______ ________ # / \| \ | \/ \| | \ | | \ | | | \ # | $$$$$$| $$ | $| $$$$$$| $$$$$$$\$$$$$$$$ | $$$$$$$| $$ | $$\$$$$$$\$$$$$$$$ # | $$___\$| $$__| $| $$ | $| $$__| $$ | $$ | $$__ \$$\/ $$ | $$ | $$ # \$$ \| $$ $| $$ | $| $$ $$ | $$ | $$ \ >$$ $$ | $$ | $$ # _\$$$$$$| $$$$$$$| $$ | $| $$$$$$$\ | $$ | $$$$$ / $$$$\ | $$ | $$ # | \__| $| $$ | $| $$__/ $| $$ | $$ | $$ | $$_____| $$ \$$\_| $$_ | $$ # \$$ $| $$ | $$\$$ $| $$ | $$ | $$ | $$ | $$ | $| $$ \ | $$ # \$$$$$$ \$$ \$$ \$$$$$$ \$$ \$$ \$$ \$$$$$$$$\$$ \$$\$$$$$$ \$$ # # Short Exit Normal # --------------------------------------------------------------------------------------------- def short_exit_normal( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: sell = False # if the profit is negative skip checking these if profit_init_ratio > 0.0: # Original sell signals sell, signal_name = self.short_exit_signals( self.short_normal_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.short_exit_main( self.short_normal_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.short_exit_williams_r( self.short_normal_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Downtrend/descending based sells if not sell: sell, signal_name = self.short_exit_dec( self.short_normal_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Stoplosses if not sell: sell, signal_name = self.short_exit_stoploss( self.short_normal_mode_name, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.short_normal_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.short_normal_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.005): mark_pair, mark_signal = self.mark_profit_target( self.short_normal_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.short_normal_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.short_normal_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None previous_sell_reason = "" if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] if signal_name in [ f"exit_{self.short_normal_mode_name}_stoploss_doom", f"exit_{self.short_normal_mode_name}_stoploss_u_e", ] and ( previous_sell_reason not in [ f"exit_{self.short_normal_mode_name}_stoploss_doom", f"exit_profit_{self.short_normal_mode_name}_stoploss_u_e", ] ): mark_pair, mark_signal = self.mark_profit_target( self.short_normal_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.short_normal_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.005: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.short_normal_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [ f"exit_profit_{self.short_normal_mode_name}_max", f"exit_{self.short_normal_mode_name}_stoploss_doom", f"exit_{self.short_normal_mode_name}_stoploss_u_e", ]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for short_exit_normal return False, None # Short Exit Pump # --------------------------------------------------------------------------------------------- def short_exit_pump( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: sell = False # if the profit is negative skip checking these if profit_init_ratio > 0.0: # Original sell signals sell, signal_name = self.short_exit_signals( self.short_pump_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.short_exit_main( self.short_pump_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.short_exit_williams_r( self.short_pump_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Downtrend/descending based sells if not sell: sell, signal_name = self.short_exit_dec( self.short_pump_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Stoplosses if not sell: sell, signal_name = self.short_exit_stoploss( self.short_pump_mode_name, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.short_pump_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.short_pump_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.005): mark_pair, mark_signal = self.mark_profit_target( self.short_pump_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.short_pump_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.short_pump_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if signal_name in [ f"exit_{self.short_pump_mode_name}_stoploss_doom", f"exit_{self.short_pump_mode_name}_stoploss_u_e", ]: mark_pair, mark_signal = self.mark_profit_target( self.short_pump_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.short_pump_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.005: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.short_pump_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [ f"exit_profit_{self.short_pump_mode_name}_max", # f"exit_{self.short_pump_mode_name}_stoploss_doom", # f"exit_{self.short_pump_mode_name}_stoploss_u_e", ]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for short_exit_pump return False, None # Short Exit Quick # --------------------------------------------------------------------------------------------- def short_exit_quick( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: sell = False # if the profit is negative skip checking these if profit_init_ratio > 0.0: # Original sell signals sell, signal_name = self.short_exit_signals( self.short_quick_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.short_exit_main( self.short_quick_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.short_exit_williams_r( self.short_quick_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Downtrend/descending based sells if not sell: sell, signal_name = self.short_exit_dec( self.short_quick_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Stoplosses if not sell: sell, signal_name = self.short_exit_stoploss( self.short_quick_mode_name, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Extra sell logic if not sell: if (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_14"] < 22.0): sell, signal_name = True, f"exit_{self.short_quick_mode_name}_q_1" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["MFI_14"] < 16.0): sell, signal_name = True, f"exit_{self.short_quick_mode_name}_q_2" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["WILLR_14"] <= -99.9): sell, signal_name = True, f"exit_{self.short_quick_mode_name}_q_3" elif ( (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_14"] <= 18.0) and (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_15m"] < 10.0) ): sell, signal_name = True, f"exit_{self.short_quick_mode_name}_q_4" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_3_15m"] < 4.0): sell, signal_name = True, f"exit_{self.short_quick_mode_name}_q_5" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_3_15m"] < 15.0): sell, signal_name = True, f"exit_{self.short_quick_mode_name}_q_6" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_15m"] < 20.0): sell, signal_name = True, f"exit_{self.short_quick_mode_name}_q_7" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_3_15m"] < 25.0): sell, signal_name = True, f"exit_{self.short_quick_mode_name}_q_8" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_3_15m"] < 30.0): sell, signal_name = True, f"exit_{self.short_quick_mode_name}_q_9" elif (0.09 >= profit_init_ratio > 0.02) and (last_candle["RSI_3"] < 1.0): sell, signal_name = True, f"exit_{self.short_quick_mode_name}_q_10" # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.short_quick_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.short_quick_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.001): mark_pair, mark_signal = self.mark_profit_target( self.short_quick_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.short_quick_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.short_quick_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None previous_sell_reason = "" if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] if signal_name in [ f"exit_{self.short_quick_mode_name}_stoploss_doom", f"exit_{self.short_quick_mode_name}_stoploss_u_e", ] and ( previous_sell_reason not in [ f"exit_{self.short_quick_mode_name}_stoploss_doom", f"exit_profit_{self.short_quick_mode_name}_stoploss_u_e", ] ): mark_pair, mark_signal = self.mark_profit_target( self.short_quick_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.short_quick_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.005: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.short_quick_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [ f"exit_profit_{self.short_quick_mode_name}_max", f"exit_{self.short_quick_mode_name}_stoploss_doom", f"exit_{self.short_quick_mode_name}_stoploss_u_e", ]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for short_exit_quick return False, None # Short Exit Rebuy # --------------------------------------------------------------------------------------------- def short_exit_rebuy( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: is_backtest = self.dp.runmode.value in ["backtest", "hyperopt"] sell = False # Original sell signals sell, signal_name = self.short_exit_signals( self.short_rebuy_mode_name, profit_current_stake_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.short_exit_main( self.short_rebuy_mode_name, profit_current_stake_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.short_exit_williams_r( self.short_rebuy_mode_name, profit_current_stake_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Downtrend/descending based sells if not sell: sell, signal_name = self.short_exit_dec( self.short_rebuy_mode_name, profit_current_stake_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Stoplosses if not sell: if ( profit_stake < -( filled_entries[0].cost * (self.stop_threshold_futures_rebuy if self.is_futures_mode else self.stop_threshold_spot_rebuy) # / (trade.leverage if self.is_futures_mode else 1.0) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell, signal_name = True, f"exit_{self.short_rebuy_mode_name}_stoploss_doom" # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.short_rebuy_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.short_rebuy_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.001): mark_pair, mark_signal = self.mark_profit_target( self.short_rebuy_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.short_rebuy_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.short_rebuy_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if signal_name in [ f"exit_{self.short_rebuy_mode_name}_stoploss_doom", f"exit_{self.short_rebuy_mode_name}_stoploss_u_e", ]: mark_pair, mark_signal = self.mark_profit_target( self.short_rebuy_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.short_rebuy_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.005: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.short_rebuy_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [f"exit_profit_{self.short_rebuy_mode_name}_max"]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for short_exit_rebuy return False, None # Short Exit High Profit # --------------------------------------------------------------------------------------------- def short_exit_high_profit( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: sell = False # Original sell signals sell, signal_name = self.short_exit_signals( self.short_high_profit_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.short_exit_main( self.short_high_profit_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.short_exit_williams_r( self.short_high_profit_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Stoplosses if not sell: sell, signal_name = self.short_exit_stoploss( self.short_high_profit_mode_name, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.short_high_profit_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.short_high_profit_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.001): mark_pair, mark_signal = self.mark_profit_target( self.short_high_profit_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.short_high_profit_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.short_high_profit_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if signal_name in [ f"exit_{self.short_high_profit_mode_name}_stoploss_doom", f"exit_{self.short_high_profit_mode_name}_stoploss_u_e", ]: mark_pair, mark_signal = self.mark_profit_target( self.short_high_profit_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.short_high_profit_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.03: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.short_high_profit_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [ f"exit_profit_{self.short_high_profit_mode_name}_max", # f"exit_{self.short_high_profit_mode_name}_stoploss_doom", # f"exit_{self.short_high_profit_mode_name}_stoploss_u_e", ]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for short_exit_high_profit return False, None # Short Exit Rapid # --------------------------------------------------------------------------------------------- def short_exit_rapid( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: is_backtest = self.is_backtest_mode() sell = False signal_name = None # if the profit is negative skip checking these if profit_init_ratio > 0.0: # Original sell signals sell, signal_name = self.short_exit_signals( self.short_rapid_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.short_exit_main( self.short_rapid_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.short_exit_williams_r( self.short_rapid_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Downtrend/descending based sells if not sell: sell, signal_name = self.short_exit_dec( self.short_rapid_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Extra exit logic if not sell: if (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_14"] < 22.0): sell, signal_name = True, f"exit_{self.short_rapid_mode_name}_rpd_1" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["MFI_14"] < 16.0): sell, signal_name = True, f"exit_{self.short_rapid_mode_name}_rpd_2" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["WILLR_14"] <= -99.9): sell, signal_name = True, f"exit_{self.short_rapid_mode_name}_rpd_3" elif ( (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_14"] <= 28.0) and (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_15m"] < 10.0) ): sell, signal_name = True, f"exit_{self.short_rapid_mode_name}_rpd_4" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_3_15m"] < 4.0): sell, signal_name = True, f"exit_{self.short_rapid_mode_name}_rpd_5" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_3_15m"] < 15.0): sell, signal_name = True, f"exit_{self.short_rapid_mode_name}_rpd_6" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_15m"] < 20.0): sell, signal_name = True, f"exit_{self.short_rapid_mode_name}_rpd_7" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_3_15m"] < 25.0): sell, signal_name = True, f"exit_{self.short_rapid_mode_name}_rpd_8" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_3_15m"] < 30.0): sell, signal_name = True, f"exit_{self.short_rapid_mode_name}_rpd_9" elif (0.09 >= profit_init_ratio > 0.005) and (last_candle["RSI_3"] < 1.0): sell, signal_name = True, f"exit_{self.short_rapid_mode_name}_rpd_10" # Stoplosses if ( ( self.stops_enable and ( profit_stake < -( filled_entries[0].cost * (self.stop_threshold_rapid_futures if self.is_futures_mode else self.stop_threshold_rapid_spot) ) ) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell, signal_name = True, f"exit_{self.short_rapid_mode_name}_stoploss_doom" # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.short_rapid_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.short_rapid_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.001): mark_pair, mark_signal = self.mark_profit_target( self.short_rapid_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.short_rapid_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.short_rapid_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None previous_sell_reason = "" if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] if signal_name in [ f"exit_{self.short_rapid_mode_name}_stoploss_doom", f"exit_{self.short_rapid_mode_name}_stoploss_u_e", ] and ( previous_sell_reason not in [ f"exit_{self.short_rapid_mode_name}_stoploss_doom", f"exit_profit_{self.short_rapid_mode_name}_stoploss_u_e", ] ): mark_pair, mark_signal = self.mark_profit_target( self.short_rapid_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.short_rapid_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.005: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.short_rapid_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [ f"exit_profit_{self.short_rapid_mode_name}_max", f"exit_{self.short_rapid_mode_name}_stoploss_doom", f"exit_{self.short_rapid_mode_name}_stoploss_u_e", ]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for short_exit_rapid return False, None # Short Exit Grind # --------------------------------------------------------------------------------------------- def short_exit_grind( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: if profit_init_ratio > 0.25: return True, f"exit_{self.short_grind_mode_name}_g" # Here ends exit signal conditions for short_exit_grind return False, None # Short Exit Top Coins # --------------------------------------------------------------------------------------------- def short_exit_top_coins( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: sell = False # Original sell signals sell, signal_name = self.short_exit_signals( self.short_top_coins_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.short_exit_main( self.short_top_coins_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.short_exit_williams_r( self.short_top_coins_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Downtrend/descending based sells if not sell: sell, signal_name = self.short_exit_dec( self.short_top_coins_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Stoplosses if not sell: sell, signal_name = self.short_exit_stoploss( self.short_top_coins_mode_name, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, max_profit, max_loss, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.short_top_coins_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.short_top_coins_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.005): mark_pair, mark_signal = self.mark_profit_target( self.short_top_coins_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.short_top_coins_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.short_top_coins_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None previous_sell_reason = "" if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] if signal_name in [ f"exit_{self.short_top_coins_mode_name}_stoploss_doom", f"exit_{self.short_top_coins_mode_name}_stoploss_u_e", ] and ( previous_sell_reason not in [ f"exit_{self.short_top_coins_mode_name}_stoploss_doom", f"exit_profit_{self.short_top_coins_mode_name}_stoploss_u_e", ] ): mark_pair, mark_signal = self.mark_profit_target( self.short_top_coins_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.short_top_coins_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.005: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.short_top_coins_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [ f"exit_profit_{self.short_top_coins_mode_name}_max", f"exit_{self.short_top_coins_mode_name}_stoploss_doom", f"exit_{self.short_top_coins_mode_name}_stoploss_u_e", ]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for short_exit_top_coins return False, None # Short Exit Derisk # --------------------------------------------------------------------------------------------- def short_exit_derisk( self, pair: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", enter_tags, ) -> tuple: sell = False # Original sell signals sell, signal_name = self.short_exit_signals( self.short_derisk_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Main sell signals if not sell: sell, signal_name = self.short_exit_main( self.short_derisk_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Williams %R based sells if not sell: sell, signal_name = self.short_exit_williams_r( self.short_derisk_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Downtrend/descending based sells if not sell: sell, signal_name = self.short_exit_dec( self.short_derisk_mode_name, profit_init_ratio, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tags, ) # Stoplosses if profit_stake < -( filled_entries[0].cost * (self.stop_threshold_derisk_futures if self.is_futures_mode else self.stop_threshold_derisk_spot) # / (trade.leverage if self.is_futures_mode else 1.0) ): sell, signal_name = True, f"exit_{self.short_derisk_mode_name}_stoploss_doom" # Profit Target Signal # Check if pair exist on target_profit_cache if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_rate = self.target_profit_cache.data[pair]["rate"] previous_profit = self.target_profit_cache.data[pair]["profit"] previous_sell_reason = self.target_profit_cache.data[pair]["sell_reason"] previous_time_profit_reached = datetime.fromisoformat(self.target_profit_cache.data[pair]["time_profit_reached"]) sell_max, signal_name_max = self.exit_profit_target( self.short_derisk_mode_name, pair, trade, current_time, current_rate, profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio, last_candle, previous_candle_1, previous_rate, previous_profit, previous_sell_reason, previous_time_profit_reached, enter_tags, ) if sell_max and signal_name_max is not None: return True, f"{signal_name_max}_m" if previous_sell_reason in [f"exit_{self.short_derisk_mode_name}_stoploss_u_e"]: if profit_ratio > (previous_profit + 0.005): mark_pair, mark_signal = self.mark_profit_target( self.short_derisk_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) elif (profit_init_ratio > (previous_profit + 0.001)) and ( previous_sell_reason not in [f"exit_{self.short_derisk_mode_name}_stoploss_doom"] ): # Update the target, raise it. mark_pair, mark_signal = self.mark_profit_target( self.short_derisk_mode_name, pair, True, previous_sell_reason, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) # Add the pair to the list, if a sell triggered and conditions met if sell and signal_name is not None: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if signal_name in [ f"exit_{self.short_derisk_mode_name}_stoploss_doom", f"exit_{self.short_derisk_mode_name}_stoploss_u_e", ]: mark_pair, mark_signal = self.mark_profit_target( self.short_derisk_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" elif (previous_profit is None) or (previous_profit < profit_init_ratio): mark_pair, mark_signal = self.mark_profit_target( self.short_derisk_mode_name, pair, sell, signal_name, trade, current_time, current_rate, profit_init_ratio, last_candle, previous_candle_1, ) if mark_pair: self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) else: # Just sell it, without maximize return True, f"{signal_name}" else: if profit_init_ratio >= 0.005: previous_profit = None if self.target_profit_cache is not None and pair in self.target_profit_cache.data: previous_profit = self.target_profit_cache.data[pair]["profit"] if (previous_profit is None) or (previous_profit < profit_init_ratio): mark_signal = f"exit_profit_{self.short_derisk_mode_name}_max" self._set_profit_target(pair, mark_signal, current_rate, profit_init_ratio, current_time) if signal_name not in [ f"exit_profit_{self.short_derisk_mode_name}_max", # f"exit_{self.short_derisk_mode_name}_stoploss_doom", # f"exit_{self.short_derisk_mode_name}_stoploss_u_e", ]: if sell and (signal_name is not None): return True, f"{signal_name}" # Here ends exit signal conditions for short_exit_derisk return False, None # Short Exit Signals # --------------------------------------------------------------------------------------------- def short_exit_signals( self, mode_name: str, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", buy_tag, ) -> tuple: # Sell signal 1 if ( (last_candle["RSI_14"] < 16.0) and (last_candle["close"] < last_candle["BBL_20_2.0"]) and (previous_candle_1["close"] < previous_candle_1["BBL_20_2.0"]) and (previous_candle_2["close"] < previous_candle_2["BBL_20_2.0"]) and (previous_candle_3["close"] < previous_candle_3["BBL_20_2.0"]) and (previous_candle_4["close"] < previous_candle_4["BBL_20_2.0"]) ): if last_candle["close"] < last_candle["EMA_200"]: if current_profit > 0.01: return True, f"exit_{mode_name}_1_1_1" else: if current_profit > 0.01: return True, f"exit_{mode_name}_1_2_1" # Sell signal 2 elif ( (last_candle["RSI_14"] < 14.0) and (last_candle["close"] < last_candle["BBL_20_2.0"]) and (previous_candle_1["close"] < previous_candle_1["BBL_20_2.0"]) and (previous_candle_2["close"] < previous_candle_2["BBL_20_2.0"]) ): if last_candle["close"] < last_candle["EMA_200"]: if current_profit > 0.01: return True, f"exit_{mode_name}_2_1_1" else: if current_profit > 0.01: return True, f"exit_{mode_name}_2_2_1" # Sell signal 3 elif last_candle["RSI_14"] < 12.0: if last_candle["close"] < last_candle["EMA_200"]: if current_profit > 0.01: return True, f"exit_{mode_name}_3_1_1" else: if current_profit > 0.01: return True, f"exit_{mode_name}_3_2_1" # Sell signal 4 elif (last_candle["RSI_14"] < 16.0) and (last_candle["RSI_14_1h"] < 20.0): if last_candle["close"] < last_candle["EMA_200"]: if current_profit > 0.01: return True, f"exit_{mode_name}_4_1_1" else: if current_profit > 0.01: return True, f"exit_{mode_name}_4_2_1" # Sell signal 6 elif ( (last_candle["close"] > last_candle["EMA_200"]) and (last_candle["close"] < last_candle["EMA_50"]) and (last_candle["RSI_14"] < 21.0) ): if current_profit > 0.01: return True, f"exit_{mode_name}_6_1" # # Sell signal 7 # elif (last_candle["RSI_14_1h"] < 21.0) and (last_candle["crossed_above_EMA_12_26"]): # if last_candle["close"] < last_candle["EMA_200"]: # if current_profit > 0.01: # return True, f"exit_{mode_name}_7_1_1" # else: # if current_profit > 0.01: # return True, f"exit_{mode_name}_7_2_1" # Sell signal 8 elif last_candle["close"] < last_candle["BBL_20_2.0_1h"] * 0.86: if last_candle["close"] < last_candle["EMA_200"]: if current_profit > 0.01: return True, f"exit_{mode_name}_8_1_1" else: if current_profit > 0.01: return True, f"exit_{mode_name}_8_2_1" # Here ends exit signal conditions for short_exit_signals return False, None # Short Exit Main # --------------------------------------------------------------------------------------------- def short_exit_main( self, mode_name: str, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", buy_tag, ) -> tuple: if last_candle["close"] < last_candle["EMA_200"]: if 0.01 > current_profit >= 0.001: if last_candle["RSI_14"] > 90.0: return True, f"exit_{mode_name}_o_0" elif 0.02 > current_profit >= 0.01: if last_candle["RSI_14"] > 72.0: return True, f"exit_{mode_name}_o_1" elif 0.03 > current_profit >= 0.02: if last_candle["RSI_14"] > 70.0: return True, f"exit_{mode_name}_o_2" elif 0.04 > current_profit >= 0.03: if last_candle["RSI_14"] > 68.0: return True, f"exit_{mode_name}_o_3" elif 0.05 > current_profit >= 0.04: if last_candle["RSI_14"] > 66.0: return True, f"exit_{mode_name}_o_4" elif 0.06 > current_profit >= 0.05: if last_candle["RSI_14"] > 64.0: return True, f"exit_{mode_name}_o_5" elif 0.07 > current_profit >= 0.06: if last_candle["RSI_14"] > 62.0: return True, f"exit_{mode_name}_o_6" elif 0.08 > current_profit >= 0.07: if last_candle["RSI_14"] > 60.0: return True, f"exit_{mode_name}_o_7" elif 0.09 > current_profit >= 0.08: if last_candle["RSI_14"] > 58.0: return True, f"exit_{mode_name}_o_8" elif 0.1 > current_profit >= 0.09: if last_candle["RSI_14"] > 56.0: return True, f"exit_{mode_name}_o_9" elif 0.12 > current_profit >= 0.1: if last_candle["RSI_14"] > 54.0: return True, f"exit_{mode_name}_o_10" elif 0.2 > current_profit >= 0.12: if last_candle["RSI_14"] > 56.0: return True, f"exit_{mode_name}_o_11" elif current_profit >= 0.2: if last_candle["RSI_14"] > 58.0: return True, f"exit_{mode_name}_o_12" elif last_candle["close"] > last_candle["EMA_200"]: if 0.01 > current_profit >= 0.001: if last_candle["RSI_14"] > 88.0: return True, f"exit_{mode_name}_u_0" elif 0.02 > current_profit >= 0.01: if last_candle["RSI_14"] > 70.0: return True, f"exit_{mode_name}_u_1" elif 0.03 > current_profit >= 0.02: if last_candle["RSI_14"] > 68.0: return True, f"exit_{mode_name}_u_2" elif 0.04 > current_profit >= 0.03: if last_candle["RSI_14"] > 66.0: return True, f"exit_{mode_name}_u_3" elif 0.05 > current_profit >= 0.04: if last_candle["RSI_14"] > 64.0: return True, f"exit_{mode_name}_u_4" elif 0.06 > current_profit >= 0.05: if last_candle["RSI_14"] > 62.0: return True, f"exit_{mode_name}_u_5" elif 0.07 > current_profit >= 0.06: if last_candle["RSI_14"] > 60.0: return True, f"exit_{mode_name}_u_6" elif 0.08 > current_profit >= 0.07: if last_candle["RSI_14"] > 58.0: return True, f"exit_{mode_name}_u_7" elif 0.09 > current_profit >= 0.08: if last_candle["RSI_14"] > 56.0: return True, f"exit_{mode_name}_u_8" elif 0.1 > current_profit >= 0.09: if last_candle["RSI_14"] > 54.0: return True, f"exit_{mode_name}_u_9" elif 0.12 > current_profit >= 0.1: if last_candle["RSI_14"] > 52.0: return True, f"exit_{mode_name}_u_10" elif 0.2 > current_profit >= 0.12: if last_candle["RSI_14"] > 54.0: return True, f"exit_{mode_name}_u_11" elif current_profit >= 0.2: if last_candle["RSI_14"] > 56.0: return True, f"exit_{mode_name}_u_12" # Here ends exit signal conditions for short_exit_main return False, None # Short Exit Williams R # --------------------------------------------------------------------------------------------- def short_exit_williams_r( self, mode_name: str, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", buy_tag, ) -> tuple: if 0.01 > current_profit >= 0.001: if (last_candle["WILLR_480"] < -99.9) and (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 25.0): return True, f"exit_{mode_name}_w_0_1" elif (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 16.0): return True, f"exit_{mode_name}_w_0_2" elif (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] > 60.0): return True, f"exit_{mode_name}_w_0_3" elif ( (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 20.0) and (last_candle["ROC_9_1h"] > 0.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_w_0_4" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -96.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_0_5" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -99.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_w_0_6" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_14_4h"] < 40.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_{mode_name}_w_0_7" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_w_0_8" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_w_0_9" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] > 0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_w_0_10" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 75.0) ): return True, f"exit_{mode_name}_w_0_11" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_w_0_12" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_w_0_13" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_w_0_14" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_480"] < -75.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -100.0)) ): return True, f"exit_{mode_name}_w_0_15" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_w_0_16" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_0_17" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROONU_14_4h"] < 50.0) and (last_candle["bot_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_0_18" elif 0.02 > current_profit >= 0.01: if last_candle["WILLR_480"] < -99.8: return True, f"exit_{mode_name}_w_1_1" elif (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 22.0): return True, f"exit_{mode_name}_w_1_2" elif (last_candle["WILLR_14"] <= -98.0) and (last_candle["RSI_14"] > 54.0): return True, f"exit_{mode_name}_w_1_3" elif ( (last_candle["WILLR_14"] <= -98.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["ROC_9_1h"] > 0.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_w_1_4" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -94.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_1_5" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -98.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_w_1_6" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_14_4h"] < 40.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_{mode_name}_w_1_7" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_w_1_8" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_w_1_9" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] > 0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_w_1_10" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_w_1_11" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_w_1_12" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_w_1_13" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_w_1_14" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["WILLR_480"] < -75.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -100.0)) ): return True, f"exit_{mode_name}_w_1_15" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_w_1_16" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_1_17" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROONU_14_4h"] < 50.0) and (last_candle["bot_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_1_18" elif 0.03 > current_profit >= 0.02: if last_candle["WILLR_480"] < -99.7: return True, f"exit_{mode_name}_w_2_1" elif (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 23.0): return True, f"exit_{mode_name}_w_2_2" elif (last_candle["WILLR_14"] <= -98.0) and (last_candle["RSI_14"] > 52.0): return True, f"exit_{mode_name}_w_2_3" elif ( (last_candle["WILLR_14"] <= -95.0) and (last_candle["RSI_14"] < 25.0) and (last_candle["ROC_9_1h"] > 0.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_w_2_4" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -92.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_2_5" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -96.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_w_2_6" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_14_4h"] < 40.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_{mode_name}_w_2_7" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_w_2_8" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_w_2_9" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] > 0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_w_2_10" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_w_2_11" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_w_2_12" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_w_2_13" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_w_2_14" elif ( (last_candle["RSI_3"] < 52.0) and (last_candle["WILLR_480"] < -75.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -100.0)) ): return True, f"exit_{mode_name}_w_2_15" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_w_2_16" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_2_17" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROONU_14_4h"] < 50.0) and (last_candle["bot_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_2_18" elif 0.04 > current_profit >= 0.03: if last_candle["WILLR_480"] < -99.6: return True, f"exit_{mode_name}_w_3_1" elif (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 24.0): return True, f"exit_{mode_name}_w_3_2" elif (last_candle["WILLR_14"] <= -98.0) and (last_candle["RSI_14"] > 50.0): return True, f"exit_{mode_name}_w_3_3" elif ( (last_candle["WILLR_14"] <= -95.0) and (last_candle["RSI_14"] < 25.0) and (last_candle["ROC_9_1h"] > 0.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_w_3_4" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -90.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_3_5" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -94.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_w_3_6" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_14_4h"] < 40.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_{mode_name}_w_3_7" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_w_3_8" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_w_3_9" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -78.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] > 0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_w_3_10" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_w_3_11" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_w_3_12" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_w_3_13" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_w_3_14" elif ( (last_candle["RSI_3"] < 54.0) and (last_candle["WILLR_480"] < -75.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -100.0)) ): return True, f"exit_{mode_name}_w_3_15" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_w_3_16" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_3_17" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROONU_14_4h"] < 50.0) and (last_candle["bot_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_3_18" elif 0.05 > current_profit >= 0.04: if last_candle["WILLR_480"] < -99.5: return True, f"exit_{mode_name}_w_4_1" elif (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 25.0): return True, f"exit_{mode_name}_w_4_2" elif (last_candle["WILLR_14"] <= -98.0) and (last_candle["RSI_14"] > 48.0): return True, f"exit_{mode_name}_w_4_3" elif ( (last_candle["WILLR_14"] <= -95.0) and (last_candle["RSI_14"] < 25.0) and (last_candle["ROC_9_1h"] > 0.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_w_4_4" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -88.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_4_5" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -92.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_w_4_6" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_14_4h"] < 40.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_{mode_name}_w_4_7" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_w_4_8" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_w_4_9" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -76.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] > 0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_w_4_10" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_w_4_11" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_w_4_12" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_w_4_13" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_w_4_14" elif ( (last_candle["RSI_3"] < 56.0) and (last_candle["WILLR_480"] < -75.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -100.0)) ): return True, f"exit_{mode_name}_w_4_15" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_w_4_16" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_4_17" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROONU_14_4h"] < 50.0) and (last_candle["bot_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_4_18" elif 0.06 > current_profit >= 0.05: if last_candle["WILLR_480"] < -99.4: return True, f"exit_{mode_name}_w_5_1" elif (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 26.0): return True, f"exit_{mode_name}_w_5_2" elif (last_candle["WILLR_14"] <= -98.0) and (last_candle["RSI_14"] > 46.0): return True, f"exit_{mode_name}_w_5_3" elif ( (last_candle["WILLR_14"] <= -90.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["ROC_9_1h"] > 0.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_w_5_4" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -86.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_5_5" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -90.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_w_5_6" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_14_4h"] < 40.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_{mode_name}_w_5_7" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_w_5_8" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_w_5_9" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -74.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] > 0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_w_5_10" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_w_5_11" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_w_5_12" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_w_5_13" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_1h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_w_5_14" elif ( (last_candle["RSI_3"] < 58.0) and (last_candle["WILLR_480"] < -75.0) and (last_candle["RSI_14"] > 42.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -100.0)) ): return True, f"exit_{mode_name}_w_5_15" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_w_5_16" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_5_17" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROONU_14_4h"] < 50.0) and (last_candle["bot_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_5_18" elif 0.07 > current_profit >= 0.06: if last_candle["WILLR_480"] < -99.3: return True, f"exit_{mode_name}_w_6_1" elif (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 25.0): return True, f"exit_{mode_name}_w_6_2" elif (last_candle["WILLR_14"] <= -98.0) and (last_candle["RSI_14"] > 48.0): return True, f"exit_{mode_name}_w_6_3" elif ( (last_candle["WILLR_14"] <= -85.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["ROC_9_1h"] > 0.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_w_6_4" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -88.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_6_5" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -92.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_w_6_6" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_14_4h"] < 40.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_{mode_name}_w_6_7" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_w_6_8" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_w_6_9" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -76.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] > 0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_w_6_10" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_w_6_11" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_w_6_12" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_w_6_13" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_w_6_14" elif ( (last_candle["RSI_3"] < 56.0) and (last_candle["WILLR_480"] < -75.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -100.0)) ): return True, f"exit_{mode_name}_w_6_15" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_w_6_16" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_6_17" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROONU_14_4h"] < 50.0) and (last_candle["bot_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_6_18" elif 0.08 > current_profit >= 0.07: if last_candle["WILLR_480"] < -99.2: return True, f"exit_{mode_name}_w_7_1" elif (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 24.0): return True, f"exit_{mode_name}_w_7_2" elif (last_candle["WILLR_14"] <= -98.0) and (last_candle["RSI_14"] > 50.0): return True, f"exit_{mode_name}_w_7_3" elif ( (last_candle["WILLR_14"] <= -85.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["ROC_9_1h"] > 0.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_w_7_4" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -90.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_7_5" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -94.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_w_7_6" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_14_4h"] < 40.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_{mode_name}_w_7_7" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_w_7_8" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_w_7_9" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -78.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] > 0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_w_7_10" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_w_7_11" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_w_7_12" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_w_7_13" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_w_7_14" elif ( (last_candle["RSI_3"] < 54.0) and (last_candle["WILLR_480"] < -75.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -100.0)) ): return True, f"exit_{mode_name}_w_7_15" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_w_7_16" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_7_17" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROONU_14_4h"] < 50.0) and (last_candle["bot_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_7_18" elif 0.09 > current_profit >= 0.08: if last_candle["WILLR_480"] < -99.1: return True, f"exit_{mode_name}_w_8_1" elif (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 23.0): return True, f"exit_{mode_name}_w_8_2" elif (last_candle["WILLR_14"] <= -98.0) and (last_candle["RSI_14"] > 52.0): return True, f"exit_{mode_name}_w_8_3" elif ( (last_candle["WILLR_14"] <= -85.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["ROC_9_1h"] > 0.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_w_8_4" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -92.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_8_5" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -96.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_w_8_6" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_14_4h"] < 40.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_{mode_name}_w_8_7" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_w_8_8" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_w_8_9" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] > 0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_w_8_10" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_w_8_11" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_w_8_12" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_w_8_13" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_w_8_14" elif ( (last_candle["RSI_3"] < 52.0) and (last_candle["WILLR_480"] < -75.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -100.0)) ): return True, f"exit_{mode_name}_w_8_15" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_w_8_16" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_8_17" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROONU_14_4h"] < 50.0) and (last_candle["bot_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_8_18" elif 0.1 > current_profit >= 0.09: if last_candle["WILLR_480"] < -99.0: return True, f"exit_{mode_name}_w_9_1" elif (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 22.0): return True, f"exit_{mode_name}_w_9_2" elif (last_candle["WILLR_14"] <= -98.0) and (last_candle["RSI_14"] > 54.0): return True, f"exit_{mode_name}_w_9_3" elif ( (last_candle["WILLR_14"] <= -85.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["ROC_9_1h"] > 0.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_w_9_4" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -94.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_9_5" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -98.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_w_9_6" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_14_4h"] < 40.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_{mode_name}_w_9_7" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_w_9_8" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_w_9_9" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] > 0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_w_9_10" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_w_9_11" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_w_9_12" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_w_9_13" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_w_9_14" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["WILLR_480"] < -75.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -100.0)) ): return True, f"exit_{mode_name}_w_9_15" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_w_9_16" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_9_17" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROONU_14_4h"] < 50.0) and (last_candle["bot_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_9_18" elif 0.12 > current_profit >= 0.1: if last_candle["WILLR_480"] < -98.9: return True, f"exit_{mode_name}_w_10_1" elif (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 21.0): return True, f"exit_{mode_name}_w_10_2" elif (last_candle["WILLR_14"] <= -98.0) and (last_candle["RSI_14"] > 56.0): return True, f"exit_{mode_name}_w_10_3" elif ( (last_candle["WILLR_14"] <= -85.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["ROC_9_1h"] > 0.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_w_10_4" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -96.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_10_5" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -99.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_w_10_6" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_14_4h"] < 40.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_{mode_name}_w_10_7" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_w_10_8" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_w_10_9" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] > 0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_w_10_10" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_w_10_11" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_w_10_12" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_w_10_13" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_w_10_14" elif ( (last_candle["RSI_3"] < 48.0) and (last_candle["WILLR_480"] < -75.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -100.0)) ): return True, f"exit_{mode_name}_w_10_15" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_w_10_16" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_10_17" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROONU_14_4h"] < 50.0) and (last_candle["bot_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_10_18" elif 0.2 > current_profit >= 0.12: if last_candle["WILLR_480"] < -99.6: return True, f"exit_{mode_name}_w_11_1" elif (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 20.0): return True, f"exit_{mode_name}_w_11_2" elif (last_candle["WILLR_14"] <= -98.0) and (last_candle["RSI_14"] > 58.0): return True, f"exit_{mode_name}_w_11_3" elif ( (last_candle["WILLR_14"] <= -85.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["ROC_9_1h"] > 0.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_w_11_4" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -98.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_11_5" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_w_11_6" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14_4h"] < 40.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_{mode_name}_w_11_7" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_w_11_8" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_w_11_9" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] > 0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_w_11_10" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_w_11_11" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_w_11_12" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_w_11_13" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_w_11_14" elif ( (last_candle["RSI_3"] < 46.0) and (last_candle["WILLR_480"] < -75.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -100.0)) ): return True, f"exit_{mode_name}_w_11_15" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_w_11_16" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_11_17" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROONU_14_4h"] < 50.0) and (last_candle["bot_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_11_18" elif current_profit >= 0.2: if last_candle["WILLR_480"] < -99.8: return True, f"exit_{mode_name}_w_12_1" elif (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 19.0): return True, f"exit_{mode_name}_w_12_2" elif (last_candle["WILLR_14"] <= -98.0) and (last_candle["RSI_14"] > 60.0): return True, f"exit_{mode_name}_w_12_3" elif ( (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 20.0) and (last_candle["ROC_9_1h"] > 0.0) and (last_candle["ROC_9_4h"] < -20.0) ): return True, f"exit_{mode_name}_w_12_4" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_12_5" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_w_12_6" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14_4h"] < 40.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) ): return True, f"exit_{mode_name}_w_12_7" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_w_12_8" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] < -10.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_w_12_9" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["CCI_20_change_pct_4h"] > 0.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_w_12_10" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_w_12_11" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_w_12_12" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_w_12_13" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_w_12_14" elif ( (last_candle["RSI_3"] < 44.0) and (last_candle["WILLR_480"] < -75.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -100.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -100.0)) ): return True, f"exit_{mode_name}_w_12_15" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_w_12_16" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["AROOND_14_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_w_12_17" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["AROONU_14_4h"] < 50.0) and (last_candle["bot_wick_pct_1d"] > 20.0) ): return True, f"exit_{mode_name}_w_12_18" # Here ends exit signal conditions for short_exit_williams_r return False, None # Short Exit Dec # --------------------------------------------------------------------------------------------- def short_exit_dec( self, mode_name: str, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", buy_tag, ) -> tuple: if 0.01 > current_profit >= 0.001: if ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] > last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] > last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_0_1" elif ( (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["CMF_20_1h"] > 0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_0_2" elif ( (last_candle["WILLR_14"] <= -99.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 1.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] > 10.0) ) ): return True, f"exit_{mode_name}_d_0_3" elif ( (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_0_4" elif ( (last_candle["WILLR_14"] <= -99.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_0_5" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_0_6" elif ( (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_0_7" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 1.0) and (last_candle["CMF_20_1h"] > 0.1) and (last_candle["CMF_20_4h"] > 0.1) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_0_8" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3"] < 1.0) and (last_candle["change_pct_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_0_9" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] > 10.0) and (last_candle["ROC_9_4h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_0_10" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 55.0) and (last_candle["ROC_9_15m"] > 10.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_0_11" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_1h"] > 20.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_0_12" elif (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["ROC_9_4h"] > 25.0): return True, f"exit_{mode_name}_d_0_13" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_0_14" elif (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["ROC_9_4h"] > 30.0): return True, f"exit_{mode_name}_d_0_15" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["AROOND_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["AROOND_14_1d"] > 50.0) and (last_candle["change_pct_1d"] > 15.0) ): return True, f"exit_{mode_name}_d_0_16" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -30.0) ): return True, f"exit_{mode_name}_d_0_17" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] < 25.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["ROC_2_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_0_18" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["RSI_3_4h"] > 90.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_0_19" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_0_20" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_0_21" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["change_pct_4h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_0_22" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_1d"] > 95.0) ): return True, f"exit_{mode_name}_d_0_23" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_0_24" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_0_25" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_0_26" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_0_27" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 90.0) and (last_candle["ROC_9_4h"] < -50.0) ): return True, f"exit_{mode_name}_d_0_28" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_0_29" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) ): return True, f"exit_{mode_name}_d_0_30" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) ): return True, f"exit_{mode_name}_d_0_31" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_0_32" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["ROC_2_1h"] > 10.0) and (last_candle["ROC_9_1h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_33" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_14_1h"] < 20.0) and (last_candle["ROC_9_1h"] < -40.0) ): return True, f"exit_{mode_name}_d_0_34" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 25.0) ): return True, f"exit_{mode_name}_d_0_35" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_36" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_1d"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_37" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_0_38" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["CMF_20_4h"] > 0.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_0_39" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_0_40" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_0_41" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_0_42" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_0_43" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_0_44" elif (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 90.0): return True, f"exit_{mode_name}_d_0_45" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_2_1d"] > 20.0) ): return True, f"exit_{mode_name}_d_0_46" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) ): return True, f"exit_{mode_name}_d_0_47" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_48" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["change_pct_1d"] > 5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_0_49" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1d"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 10.0) ): return True, f"exit_{mode_name}_d_0_50" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_51" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_0_52" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_0_53" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["change_pct_1d"] > 10.0) ): return True, f"exit_{mode_name}_d_0_54" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["ROC_9_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_55" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) ): return True, f"exit_{mode_name}_d_0_56" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 66.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_d_0_57" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_58" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_0_59" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["RSI_14_4h"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ): return True, f"exit_{mode_name}_d_0_60" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_0_61" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) and (last_candle["change_pct_1d"] > 5.0) ): return True, f"exit_{mode_name}_d_0_62" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_0_63" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_0_64" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_d_0_65" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_66" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_0_67" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_0_68" elif ( (last_candle["RSI_3"] < 3.0) and (last_candle["ROC_9_4h"] < -20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_0_69" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_0_70" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_0_71" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_0_72" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_0_73" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_0_74" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_0_75" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["ROC_9_1h"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_0_76" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_0_77" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["RSI_3_1d"] > 80.0) ): return True, f"exit_{mode_name}_d_0_78" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_0_79" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_0_80" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] < 50.0)) ): return True, f"exit_{mode_name}_d_0_81" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_0_82" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_0_83" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_0_84" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_85" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_14_4h"] < 20.0) and (last_candle["ROC_2_1h"] > 5.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_86" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_87" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_1h"] > 2.0) ): return True, f"exit_{mode_name}_d_0_88" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["ROC_9_1h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_0_89" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROONU_14_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_0_90" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["AROONU_14_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_0_91" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_0_92" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_15m"] > 50.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["AROOND_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_0_93" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 55.0) and (last_candle["AROOND_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_0_94" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) and (isinstance(last_candle["AROOND_14_1d"], np.float64) and (last_candle["AROOND_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_0_95" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_1d"] > 55.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_96" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_0_97" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_3_15m"] < 26.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["RSI_3_1d"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_98" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 35.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_d_0_99" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_0_100" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -40.0)) ): return True, f"exit_{mode_name}_d_0_101" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_0_102" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_14_4h"] < 30.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -80.0)) ): return True, f"exit_{mode_name}_d_0_103" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_0_104" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_15m"] > 45.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_0_105" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_0_106" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["RSI_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_107" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_d_0_108" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_0_109" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_3_4h"] > 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_0_110" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["AROOND_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_0_111" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["RSI_3_4h"] > 65.0) and (last_candle["RSI_3_1d"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_0_112" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1d"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_0_113" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 70.0) ): return True, f"exit_{mode_name}_d_0_114" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_115" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_0_116" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["AROONU_14_1h"] < 20.0) and (last_candle["AROONU_14_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_0_117" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_0_118" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) ): return True, f"exit_{mode_name}_d_0_119" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_0_120" elif 0.02 > current_profit >= 0.01: if ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] > last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] > last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_1_1" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 32.0) and (last_candle["CMF_20_1h"] > 0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_1_2" elif ( (last_candle["WILLR_14"] < -95.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 1.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] > 10.0) ) ): return True, f"exit_{mode_name}_d_1_3" elif ( (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_14"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_1_4" elif ( (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_14"] < 28.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_1_5" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_1_6" elif ( (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_1_7" elif ( (last_candle["WILLR_14"] < -98.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["CMF_20_1h"] > 0.1) and (last_candle["CMF_20_4h"] > 0.1) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_1_8" elif ( (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3"] < 5.0) and (last_candle["change_pct_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_1_9" elif ( (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] > 10.0) and (last_candle["ROC_9_4h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_1_10" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 55.0) and (last_candle["ROC_9_15m"] > 10.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_1_11" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_1h"] > 20.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_1_12" elif (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["ROC_9_4h"] > 25.0): return True, f"exit_{mode_name}_d_1_13" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_1_14" elif (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] < 25.0) and (last_candle["ROC_9_4h"] > 30.0): return True, f"exit_{mode_name}_d_1_15" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["AROOND_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["AROOND_14_1d"] > 50.0) and (last_candle["change_pct_1d"] > 15.0) ): return True, f"exit_{mode_name}_d_1_16" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -30.0) ): return True, f"exit_{mode_name}_d_1_17" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["ROC_2_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_1_18" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] < 28.0) and (last_candle["RSI_3_4h"] > 90.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_1_19" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_1_20" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_1_21" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["change_pct_4h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_1_22" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_1d"] > 95.0) ): return True, f"exit_{mode_name}_d_1_23" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] < 25.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_1_24" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_1_25" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_1_26" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_1_27" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 90.0) and (last_candle["ROC_9_4h"] < -50.0) ): return True, f"exit_{mode_name}_d_1_28" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_1_29" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) ): return True, f"exit_{mode_name}_d_1_30" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) ): return True, f"exit_{mode_name}_d_1_31" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_1_32" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["ROC_2_1h"] > 10.0) and (last_candle["ROC_9_1h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_33" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_14_1h"] < 20.0) and (last_candle["ROC_9_1h"] < -40.0) ): return True, f"exit_{mode_name}_d_1_34" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 25.0) ): return True, f"exit_{mode_name}_d_1_35" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_36" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_1d"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_37" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_1_38" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["CMF_20_4h"] > 0.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_1_39" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_1_40" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_1_41" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_1_42" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_1_43" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_1_44" elif (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 90.0): return True, f"exit_{mode_name}_d_1_45" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_2_1d"] > 20.0) ): return True, f"exit_{mode_name}_d_1_46" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) ): return True, f"exit_{mode_name}_d_1_47" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_48" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["change_pct_1d"] > 5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_1_49" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1d"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 10.0) ): return True, f"exit_{mode_name}_d_1_50" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_51" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_1_52" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_1_53" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["change_pct_1d"] > 10.0) ): return True, f"exit_{mode_name}_d_1_54" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["ROC_9_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_55" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) ): return True, f"exit_{mode_name}_d_1_56" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 64.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_d_1_57" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_58" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_1_59" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_14_4h"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ): return True, f"exit_{mode_name}_d_1_60" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_1_61" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) and (last_candle["change_pct_1d"] > 5.0) ): return True, f"exit_{mode_name}_d_1_62" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_1_63" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_1_64" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_d_1_65" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_66" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_1_67" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_1_68" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["ROC_9_4h"] < -20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_1_69" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_1_70" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_1_71" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_1_72" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_1_73" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_1_74" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_1_75" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_1_76" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_1_77" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["RSI_3_1d"] > 80.0) ): return True, f"exit_{mode_name}_d_1_78" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_1_79" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_1_80" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] < 50.0)) ): return True, f"exit_{mode_name}_d_1_81" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_1_82" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_1_83" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_1_84" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_85" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_14_4h"] < 20.0) and (last_candle["ROC_2_1h"] > 5.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_86" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_87" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_1h"] > 2.0) ): return True, f"exit_{mode_name}_d_1_88" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_1_89" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROONU_14_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_1_90" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["AROONU_14_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_1_91" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_1_92" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 50.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["AROOND_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_1_93" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 55.0) and (last_candle["AROOND_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_1_94" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) and (isinstance(last_candle["AROOND_14_1d"], np.float64) and (last_candle["AROOND_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_1_95" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_1d"] > 55.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_96" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_1_97" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_15m"] < 28.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["RSI_3_1d"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_98" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 35.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_d_1_99" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_14"] < 24.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_1_100" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -40.0)) ): return True, f"exit_{mode_name}_d_1_101" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_1_102" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_14_4h"] < 30.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -80.0)) ): return True, f"exit_{mode_name}_d_1_103" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_1_104" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_15m"] > 45.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_1_105" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_1_106" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["RSI_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_107" elif ( (last_candle["RSI_3"] < 44.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_d_1_108" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_1_109" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_3_4h"] > 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_1_110" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["AROOND_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_1_111" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["RSI_3_4h"] > 65.0) and (last_candle["RSI_3_1d"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_1_112" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1d"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_1_113" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 70.0) ): return True, f"exit_{mode_name}_d_1_114" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_115" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_1_116" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["AROONU_14_1h"] < 20.0) and (last_candle["AROONU_14_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_1_117" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_1_118" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) ): return True, f"exit_{mode_name}_d_1_119" elif ( (last_candle["RSI_3"] < 46.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_1_120" elif 0.03 > current_profit >= 0.02: if ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] > last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] > last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_2_1" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 34.0) and (last_candle["CMF_20_1h"] > 0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_2_2" elif ( (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 1.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] > 10.0) ) ): return True, f"exit_{mode_name}_d_2_3" elif ( (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_14"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_2_4" elif ( (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_2_5" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_2_6" elif ( (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_2_7" elif ( (last_candle["WILLR_14"] < -96.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["CMF_20_1h"] > 0.1) and (last_candle["CMF_20_4h"] > 0.1) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_2_8" elif ( (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3"] < 5.0) and (last_candle["change_pct_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_2_9" elif ( (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] > 10.0) and (last_candle["ROC_9_4h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_2_10" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 55.0) and (last_candle["ROC_9_15m"] > 10.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_2_11" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_1h"] > 20.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_2_12" elif (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["ROC_9_4h"] > 25.0): return True, f"exit_{mode_name}_d_2_13" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_2_14" elif (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["ROC_9_4h"] > 30.0): return True, f"exit_{mode_name}_d_2_15" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["AROOND_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["AROOND_14_1d"] > 50.0) and (last_candle["change_pct_1d"] > 15.0) ): return True, f"exit_{mode_name}_d_2_16" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -30.0) ): return True, f"exit_{mode_name}_d_2_17" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["ROC_2_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_2_18" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["RSI_3_4h"] > 90.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_2_19" elif ( (last_candle["RSI_3"] < 52.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_2_20" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_2_21" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["change_pct_4h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_2_22" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_1d"] > 95.0) ): return True, f"exit_{mode_name}_d_2_23" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_2_24" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_2_25" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_2_26" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_2_27" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 90.0) and (last_candle["ROC_9_4h"] < -50.0) ): return True, f"exit_{mode_name}_d_2_28" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_2_29" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) ): return True, f"exit_{mode_name}_d_2_30" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) ): return True, f"exit_{mode_name}_d_2_31" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_2_32" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["ROC_2_1h"] > 10.0) and (last_candle["ROC_9_1h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_33" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_14_1h"] < 20.0) and (last_candle["ROC_9_1h"] < -40.0) ): return True, f"exit_{mode_name}_d_2_34" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -93.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 25.0) ): return True, f"exit_{mode_name}_d_2_35" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_36" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_1d"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_37" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_2_38" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["CMF_20_4h"] > 0.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_2_39" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_2_40" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_2_41" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_2_42" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_2_43" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_2_44" elif (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 90.0): return True, f"exit_{mode_name}_d_2_45" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_2_1d"] > 20.0) ): return True, f"exit_{mode_name}_d_2_46" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) ): return True, f"exit_{mode_name}_d_2_47" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_48" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["change_pct_1d"] > 5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_2_49" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1d"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 10.0) ): return True, f"exit_{mode_name}_d_2_50" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_51" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_2_52" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_2_53" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["change_pct_1d"] > 10.0) ): return True, f"exit_{mode_name}_d_2_54" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["ROC_9_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_55" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) ): return True, f"exit_{mode_name}_d_2_56" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 62.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_d_2_57" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_58" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_2_59" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_14_4h"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ): return True, f"exit_{mode_name}_d_2_60" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_2_61" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) and (last_candle["change_pct_1d"] > 5.0) ): return True, f"exit_{mode_name}_d_2_62" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_2_63" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_2_64" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_d_2_65" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_66" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_2_67" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_2_68" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["ROC_9_4h"] < -20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_2_69" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_2_70" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_2_71" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_2_72" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_2_73" elif ( (last_candle["RSI_3"] < 3.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_2_74" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_2_75" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["ROC_9_1h"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_2_76" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_2_77" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["RSI_3_1d"] > 80.0) ): return True, f"exit_{mode_name}_d_2_78" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_2_79" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_2_80" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] < 50.0)) ): return True, f"exit_{mode_name}_d_2_81" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_2_82" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_2_83" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_2_84" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_85" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_14_4h"] < 20.0) and (last_candle["ROC_2_1h"] > 5.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_86" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_87" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -78.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_1h"] > 2.0) ): return True, f"exit_{mode_name}_d_2_88" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["ROC_9_1h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_2_89" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROONU_14_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_2_90" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["AROONU_14_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_2_91" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_2_92" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_15m"] > 50.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["AROOND_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_2_93" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 55.0) and (last_candle["AROOND_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_2_94" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) and (isinstance(last_candle["AROOND_14_1d"], np.float64) and (last_candle["AROOND_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_2_95" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_1d"] > 55.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_96" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_2_97" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["RSI_3_1d"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_98" elif ( (last_candle["RSI_3"] < 42.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 35.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_d_2_99" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_14"] < 26.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_2_100" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -40.0)) ): return True, f"exit_{mode_name}_d_2_101" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_2_102" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 42.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_14_4h"] < 30.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -80.0)) ): return True, f"exit_{mode_name}_d_2_103" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_2_104" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 45.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_2_105" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_2_106" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["RSI_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_107" elif ( (last_candle["RSI_3"] < 46.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_d_2_108" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_2_109" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_4h"] > 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_2_110" elif ( (last_candle["RSI_3"] < 52.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["AROOND_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_2_111" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["RSI_3_4h"] > 65.0) and (last_candle["RSI_3_1d"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_2_112" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1d"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_2_113" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 70.0) ): return True, f"exit_{mode_name}_d_2_114" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_115" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_2_116" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["AROONU_14_1h"] < 20.0) and (last_candle["AROONU_14_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_2_117" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_2_118" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) ): return True, f"exit_{mode_name}_d_2_119" elif ( (last_candle["RSI_3"] < 48.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_2_120" elif 0.04 > current_profit >= 0.03: if ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] > last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] > last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_3_1" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["CMF_20_1h"] > 0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_3_2" elif ( (last_candle["WILLR_14"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] > 10.0) ) ): return True, f"exit_{mode_name}_d_3_3" elif ( (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_14"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_3_4" elif ( (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_14"] < 32.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_3_5" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_3_6" elif ( (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_3_7" elif ( (last_candle["WILLR_14"] < -94.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["CMF_20_1h"] > 0.1) and (last_candle["CMF_20_4h"] > 0.1) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_3_8" elif ( (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3"] < 5.0) and (last_candle["change_pct_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_3_9" elif ( (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] > 10.0) and (last_candle["ROC_9_4h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_3_10" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 55.0) and (last_candle["ROC_9_15m"] > 10.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_3_11" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_1h"] > 20.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_3_12" elif (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["ROC_9_4h"] > 25.0): return True, f"exit_{mode_name}_d_3_13" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_3_14" elif (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] < 35.0) and (last_candle["ROC_9_4h"] > 30.0): return True, f"exit_{mode_name}_d_3_15" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["AROOND_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["AROOND_14_1d"] > 50.0) and (last_candle["change_pct_1d"] > 15.0) ): return True, f"exit_{mode_name}_d_3_16" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -30.0) ): return True, f"exit_{mode_name}_d_3_17" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["ROC_2_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_3_18" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_14"] < 32.0) and (last_candle["RSI_3_4h"] > 90.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_3_19" elif ( (last_candle["RSI_3"] < 54.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_3_20" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_3_21" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["change_pct_4h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_3_22" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_1d"] > 95.0) ): return True, f"exit_{mode_name}_d_3_23" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_14"] < 32.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_3_24" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_3_25" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_3_26" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_3_27" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 90.0) and (last_candle["ROC_9_4h"] < -50.0) ): return True, f"exit_{mode_name}_d_3_28" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_3_29" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) ): return True, f"exit_{mode_name}_d_3_30" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) ): return True, f"exit_{mode_name}_d_3_31" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_3_32" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["ROC_2_1h"] > 10.0) and (last_candle["ROC_9_1h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_33" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_14_1h"] < 20.0) and (last_candle["ROC_9_1h"] < -40.0) ): return True, f"exit_{mode_name}_d_3_34" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 25.0) ): return True, f"exit_{mode_name}_d_3_35" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_36" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_1d"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_37" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_3_38" elif ( (last_candle["RSI_3"] < 7.0) and (last_candle["WILLR_14"] < -93.0) and (last_candle["CMF_20_4h"] > 0.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_3_39" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_3_40" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_3_41" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_3_42" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_3_43" elif ( (last_candle["RSI_3"] < 45.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_3_44" elif (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 90.0): return True, f"exit_{mode_name}_d_3_45" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_2_1d"] > 20.0) ): return True, f"exit_{mode_name}_d_3_46" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) ): return True, f"exit_{mode_name}_d_3_47" elif ( (last_candle["RSI_3"] < 45.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_48" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["change_pct_1d"] > 5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_3_49" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1d"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 10.0) ): return True, f"exit_{mode_name}_d_3_50" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_51" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_3_52" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_3_53" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["change_pct_1d"] > 10.0) ): return True, f"exit_{mode_name}_d_3_54" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["ROC_9_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_55" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) ): return True, f"exit_{mode_name}_d_3_56" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_d_3_57" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_58" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_3_59" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_14_4h"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ): return True, f"exit_{mode_name}_d_3_60" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_3_61" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) and (last_candle["change_pct_1d"] > 5.0) ): return True, f"exit_{mode_name}_d_3_62" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_3_63" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_3_64" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_d_3_65" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_66" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_3_67" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_3_68" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["ROC_9_4h"] < -20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_3_69" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_3_70" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_3_71" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_3_72" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_3_73" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_3_74" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_3_75" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["ROC_9_1h"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_3_76" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_3_77" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["RSI_3_1d"] > 80.0) ): return True, f"exit_{mode_name}_d_3_78" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_3_79" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_3_80" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] < 50.0)) ): return True, f"exit_{mode_name}_d_3_81" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_3_82" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_3_83" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_3_84" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_85" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14_4h"] < 20.0) and (last_candle["ROC_2_1h"] > 5.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_86" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_87" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -76.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_1h"] > 2.0) ): return True, f"exit_{mode_name}_d_3_88" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["ROC_9_1h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_3_89" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROONU_14_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_3_90" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["AROONU_14_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_3_91" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_3_92" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_15m"] > 50.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["AROOND_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_3_93" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 55.0) and (last_candle["AROOND_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_3_94" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) and (isinstance(last_candle["AROOND_14_1d"], np.float64) and (last_candle["AROOND_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_3_95" elif ( (last_candle["RSI_3"] < 42.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_1d"] > 55.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_96" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_3_97" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_3_15m"] < 32.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["RSI_3_1d"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_98" elif ( (last_candle["RSI_3"] < 44.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 35.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_d_3_99" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_14"] < 28.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_3_100" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -40.0)) ): return True, f"exit_{mode_name}_d_3_101" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_3_102" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 40.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_14_4h"] < 30.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -80.0)) ): return True, f"exit_{mode_name}_d_3_103" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_3_104" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_15m"] > 45.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_3_105" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_3_106" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["RSI_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_107" elif ( (last_candle["RSI_3"] < 48.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_d_3_108" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_3_109" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_3_4h"] > 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_3_110" elif ( (last_candle["RSI_3"] < 54.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["AROOND_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_3_111" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["WILLR_14"] < -65.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["RSI_3_4h"] > 65.0) and (last_candle["RSI_3_1d"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_3_112" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1d"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_3_113" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 70.0) ): return True, f"exit_{mode_name}_d_3_114" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_115" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_3_116" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["AROONU_14_1h"] < 20.0) and (last_candle["AROONU_14_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_3_117" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_3_118" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) ): return True, f"exit_{mode_name}_d_3_119" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_3_120" elif 0.05 > current_profit >= 0.04: if ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] > last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] > last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_4_1" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["CMF_20_1h"] > 0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_4_2" elif ( (last_candle["WILLR_14"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] > 10.0) ) ): return True, f"exit_{mode_name}_d_4_3" elif ( (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_14"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_4_4" elif ( (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_14"] < 34.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_4_5" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_4_6" elif ( (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_4_7" elif ( (last_candle["WILLR_14"] < -92.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["CMF_20_1h"] > 0.1) and (last_candle["CMF_20_4h"] > 0.1) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_4_8" elif ( (last_candle["WILLR_14"] < -93.0) and (last_candle["RSI_3"] < 5.0) and (last_candle["change_pct_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_4_9" elif ( (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] > 10.0) and (last_candle["ROC_9_4h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_4_10" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 55.0) and (last_candle["ROC_9_15m"] > 10.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_4_11" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_1h"] > 20.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_4_12" elif (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["ROC_9_4h"] > 25.0): return True, f"exit_{mode_name}_d_4_13" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_4_14" elif (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_4h"] > 30.0): return True, f"exit_{mode_name}_d_4_15" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["AROOND_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["AROOND_14_1d"] > 50.0) and (last_candle["change_pct_1d"] > 15.0) ): return True, f"exit_{mode_name}_d_4_16" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -30.0) ): return True, f"exit_{mode_name}_d_4_17" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["ROC_2_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_4_18" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14"] < 34.0) and (last_candle["RSI_3_4h"] > 90.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_4_19" elif ( (last_candle["RSI_3"] < 56.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_4_20" elif ( (last_candle["RSI_3"] < 45.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_4_21" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["change_pct_4h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_4_22" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_1d"] > 95.0) ): return True, f"exit_{mode_name}_d_4_23" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14"] < 34.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_4_24" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_4_25" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_4_26" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_4_27" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 90.0) and (last_candle["ROC_9_4h"] < -50.0) ): return True, f"exit_{mode_name}_d_4_28" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_4_29" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) ): return True, f"exit_{mode_name}_d_4_30" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) ): return True, f"exit_{mode_name}_d_4_31" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_4_32" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["ROC_2_1h"] > 10.0) and (last_candle["ROC_9_1h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_33" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_14_1h"] < 20.0) and (last_candle["ROC_9_1h"] < -40.0) ): return True, f"exit_{mode_name}_d_4_34" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -91.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 25.0) ): return True, f"exit_{mode_name}_d_4_35" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_36" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_1d"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_37" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_4_38" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["CMF_20_4h"] > 0.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_4_39" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_4_40" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_4_41" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_4_42" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_4_43" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_4_44" elif (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_1h"] > 90.0): return True, f"exit_{mode_name}_d_4_45" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_2_1d"] > 20.0) ): return True, f"exit_{mode_name}_d_4_46" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) ): return True, f"exit_{mode_name}_d_4_47" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_48" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["change_pct_1d"] > 5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_4_49" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1d"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 10.0) ): return True, f"exit_{mode_name}_d_4_50" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_51" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_4_52" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_4_53" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["change_pct_1d"] > 10.0) ): return True, f"exit_{mode_name}_d_4_54" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["ROC_9_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_55" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) ): return True, f"exit_{mode_name}_d_4_56" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 58.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_d_4_57" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_58" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_4_59" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_14_4h"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ): return True, f"exit_{mode_name}_d_4_60" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_4_61" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) and (last_candle["change_pct_1d"] > 5.0) ): return True, f"exit_{mode_name}_d_4_62" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_4_63" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_4_64" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_d_4_65" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_66" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_4_67" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_4_68" elif ( (last_candle["RSI_3"] < 7.0) and (last_candle["ROC_9_4h"] < -20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_4_69" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_4_70" elif ( (last_candle["RSI_3"] < 42.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_4_71" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_4_72" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_4_73" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_4_74" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_4_75" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["ROC_9_1h"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_4_76" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_4_77" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -78.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["RSI_3_1d"] > 80.0) ): return True, f"exit_{mode_name}_d_4_78" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_4_79" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_4_80" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] < 50.0)) ): return True, f"exit_{mode_name}_d_4_81" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_4_82" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_4_83" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_4_84" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_85" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_14_4h"] < 20.0) and (last_candle["ROC_2_1h"] > 5.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_86" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_87" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -74.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_1h"] > 2.0) ): return True, f"exit_{mode_name}_d_4_88" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["ROC_9_1h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_4_89" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROONU_14_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_4_90" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["AROONU_14_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_4_91" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_4_92" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_15m"] > 50.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["AROOND_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_4_93" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 55.0) and (last_candle["AROOND_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_4_94" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) and (isinstance(last_candle["AROOND_14_1d"], np.float64) and (last_candle["AROOND_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_4_95" elif ( (last_candle["RSI_3"] < 44.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_1d"] > 55.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_96" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_4_97" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_3_15m"] < 34.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["RSI_3_1d"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_98" elif ( (last_candle["RSI_3"] < 46.0) and (last_candle["RSI_14"] > 42.0) and (last_candle["RSI_3_1h"] > 35.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_d_4_99" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_4_100" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -78.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -40.0)) ): return True, f"exit_{mode_name}_d_4_101" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_4_102" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 38.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_14_4h"] < 30.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -80.0)) ): return True, f"exit_{mode_name}_d_4_103" elif ( (last_candle["RSI_3"] < 42.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_4_104" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_15m"] > 45.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_4_105" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_4_106" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["RSI_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_107" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_d_4_108" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_4_109" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_3_4h"] > 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_4_110" elif ( (last_candle["RSI_3"] < 56.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["AROOND_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_4_111" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["WILLR_14"] < -60.0) and (last_candle["RSI_14"] > 42.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["RSI_3_4h"] > 65.0) and (last_candle["RSI_3_1d"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_4_112" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1d"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_4_113" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 70.0) ): return True, f"exit_{mode_name}_d_4_114" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_115" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_4_116" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["AROONU_14_1h"] < 20.0) and (last_candle["AROONU_14_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_4_117" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_4_118" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) ): return True, f"exit_{mode_name}_d_4_119" elif ( (last_candle["RSI_3"] < 52.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_4_120" elif 0.06 > current_profit >= 0.05: if ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] > last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] > last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_5_1" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["CMF_20_1h"] > 0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_5_2" elif ( (last_candle["WILLR_14"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] > 10.0) ) ): return True, f"exit_{mode_name}_d_5_3" elif ( (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_14"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_5_4" elif ( (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_5_5" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_5_6" elif ( (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_5_7" elif ( (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["CMF_20_1h"] > 0.1) and (last_candle["CMF_20_4h"] > 0.1) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_5_8" elif ( (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3"] < 5.0) and (last_candle["change_pct_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_5_9" elif ( (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] > 10.0) and (last_candle["ROC_9_4h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_5_10" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 55.0) and (last_candle["ROC_9_15m"] > 10.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_5_11" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_1h"] > 20.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_5_12" elif (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["ROC_9_4h"] > 25.0): return True, f"exit_{mode_name}_d_5_13" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_5_14" elif (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["ROC_9_4h"] > 30.0): return True, f"exit_{mode_name}_d_5_15" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["AROOND_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["AROOND_14_1d"] > 50.0) and (last_candle["change_pct_1d"] > 15.0) ): return True, f"exit_{mode_name}_d_5_16" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -65.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -30.0) ): return True, f"exit_{mode_name}_d_5_17" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["ROC_2_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_5_18" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["RSI_3_4h"] > 90.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_5_19" elif ( (last_candle["RSI_3"] < 58.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_5_20" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_5_21" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["change_pct_4h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_5_22" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_1d"] > 95.0) ): return True, f"exit_{mode_name}_d_5_23" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["WILLR_14"] < -65.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_5_24" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_5_25" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_5_26" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_5_27" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 90.0) and (last_candle["ROC_9_4h"] < -50.0) ): return True, f"exit_{mode_name}_d_5_28" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_5_29" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) ): return True, f"exit_{mode_name}_d_5_30" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) ): return True, f"exit_{mode_name}_d_5_31" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_5_32" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["ROC_2_1h"] > 10.0) and (last_candle["ROC_9_1h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_33" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_14_1h"] < 20.0) and (last_candle["ROC_9_1h"] < -40.0) ): return True, f"exit_{mode_name}_d_5_34" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 25.0) ): return True, f"exit_{mode_name}_d_5_35" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["WILLR_14"] < -65.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_36" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_1d"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_37" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["WILLR_14"] < -65.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_5_38" elif ( (last_candle["RSI_3"] < 9.0) and (last_candle["WILLR_14"] < -91.0) and (last_candle["CMF_20_4h"] > 0.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_5_39" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["WILLR_14"] < -65.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_5_40" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_5_41" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -55.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_5_42" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_5_43" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_5_44" elif (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_1h"] > 90.0): return True, f"exit_{mode_name}_d_5_45" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_2_1d"] > 20.0) ): return True, f"exit_{mode_name}_d_5_46" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) ): return True, f"exit_{mode_name}_d_5_47" elif ( (last_candle["RSI_3"] < 55.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_48" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["change_pct_1d"] > 5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_5_49" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_1d"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 10.0) ): return True, f"exit_{mode_name}_d_5_50" elif ( (last_candle["RSI_3"] < 42.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_51" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] < 48.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_5_52" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_5_53" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["change_pct_1d"] > 10.0) ): return True, f"exit_{mode_name}_d_5_54" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -78.0) and (last_candle["ROC_9_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_55" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) ): return True, f"exit_{mode_name}_d_5_56" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 56.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_d_5_57" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_58" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_5_59" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_14_4h"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ): return True, f"exit_{mode_name}_d_5_60" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_5_61" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) and (last_candle["change_pct_1d"] > 5.0) ): return True, f"exit_{mode_name}_d_5_62" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_5_63" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_5_64" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_d_5_65" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_66" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_5_67" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_5_68" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["ROC_9_4h"] < -20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_5_69" elif ( (last_candle["RSI_3"] < 42.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_5_70" elif ( (last_candle["RSI_3"] < 44.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_5_71" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_5_72" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_5_73" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_5_74" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_5_75" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 42.0) and (last_candle["ROC_9_1h"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_5_76" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_5_77" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -76.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["RSI_3_1d"] > 80.0) ): return True, f"exit_{mode_name}_d_5_78" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_5_79" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_5_80" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] < 50.0)) ): return True, f"exit_{mode_name}_d_5_81" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_5_82" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_5_83" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_5_84" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_85" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14_4h"] < 20.0) and (last_candle["ROC_2_1h"] > 5.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_86" elif ( (last_candle["RSI_3"] < 42.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_87" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -72.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_1h"] > 2.0) ): return True, f"exit_{mode_name}_d_5_88" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["ROC_9_1h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_5_89" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROONU_14_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_5_90" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["AROONU_14_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_5_91" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_5_92" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 42.0) and (last_candle["RSI_3_15m"] > 50.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["AROOND_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_5_93" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 42.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 55.0) and (last_candle["AROOND_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_5_94" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) and (isinstance(last_candle["AROOND_14_1d"], np.float64) and (last_candle["AROOND_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_5_95" elif ( (last_candle["RSI_3"] < 46.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_1d"] > 55.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_96" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_5_97" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_3_15m"] < 36.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["RSI_3_1d"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_98" elif ( (last_candle["RSI_3"] < 48.0) and (last_candle["RSI_14"] > 40.0) and (last_candle["RSI_3_1h"] > 35.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_d_5_99" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] < 32.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_5_100" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["WILLR_14"] < -76.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -40.0)) ): return True, f"exit_{mode_name}_d_5_101" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_5_102" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 36.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_14_4h"] < 30.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -80.0)) ): return True, f"exit_{mode_name}_d_5_103" elif ( (last_candle["RSI_3"] < 44.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_5_104" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_15m"] > 45.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_5_105" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_5_106" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["RSI_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_107" elif ( (last_candle["RSI_3"] < 52.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_d_5_108" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_5_109" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_3_4h"] > 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_5_110" elif ( (last_candle["RSI_3"] < 58.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["AROOND_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_5_111" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["WILLR_14"] < -55.0) and (last_candle["RSI_14"] > 40.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["RSI_3_4h"] > 65.0) and (last_candle["RSI_3_1d"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_5_112" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1d"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_5_113" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 42.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 70.0) ): return True, f"exit_{mode_name}_d_5_114" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_115" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_5_116" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["AROONU_14_1h"] < 20.0) and (last_candle["AROONU_14_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_5_117" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_5_118" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) ): return True, f"exit_{mode_name}_d_5_119" elif ( (last_candle["RSI_3"] < 54.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_5_120" elif 0.07 > current_profit >= 0.06: if ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] > last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] > last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_6_1" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["CMF_20_1h"] > 0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_6_2" elif ( (last_candle["WILLR_14"] < -85.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 2.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] > 10.0) ) ): return True, f"exit_{mode_name}_d_6_3" elif ( (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_14"] < 32.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_6_4" elif ( (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_14"] < 34.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_6_5" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_6_6" elif ( (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_6_7" elif ( (last_candle["WILLR_14"] < -92.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["CMF_20_1h"] > 0.1) and (last_candle["CMF_20_4h"] > 0.1) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_6_8" elif ( (last_candle["WILLR_14"] < -93.0) and (last_candle["RSI_3"] < 5.0) and (last_candle["change_pct_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_6_9" elif ( (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] > 10.0) and (last_candle["ROC_9_4h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_6_10" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 55.0) and (last_candle["ROC_9_15m"] > 10.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_6_11" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_1h"] > 20.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_6_12" elif (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["ROC_9_4h"] > 25.0): return True, f"exit_{mode_name}_d_6_13" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_6_14" elif (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["ROC_9_4h"] > 30.0): return True, f"exit_{mode_name}_d_6_15" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["AROOND_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["AROOND_14_1d"] > 50.0) and (last_candle["change_pct_1d"] > 15.0) ): return True, f"exit_{mode_name}_d_6_16" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -30.0) ): return True, f"exit_{mode_name}_d_6_17" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] < 35.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["ROC_2_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_6_18" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14"] < 34.0) and (last_candle["RSI_3_4h"] > 90.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_6_19" elif ( (last_candle["RSI_3"] < 56.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_6_20" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_6_21" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["change_pct_4h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_6_22" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_1d"] > 95.0) ): return True, f"exit_{mode_name}_d_6_23" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14"] < 34.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_6_24" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_6_25" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_6_26" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_6_27" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 90.0) and (last_candle["ROC_9_4h"] < -50.0) ): return True, f"exit_{mode_name}_d_6_28" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_6_29" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) ): return True, f"exit_{mode_name}_d_6_30" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) ): return True, f"exit_{mode_name}_d_6_31" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_6_32" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["ROC_2_1h"] > 10.0) and (last_candle["ROC_9_1h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_33" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_14_1h"] < 20.0) and (last_candle["ROC_9_1h"] < -40.0) ): return True, f"exit_{mode_name}_d_6_34" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -91.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 25.0) ): return True, f"exit_{mode_name}_d_6_35" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_36" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_1d"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_37" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_6_38" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["CMF_20_4h"] > 0.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_6_39" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_6_40" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_6_41" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_6_42" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_6_43" elif ( (last_candle["RSI_3"] < 45.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_6_44" elif (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_1h"] > 90.0): return True, f"exit_{mode_name}_d_6_45" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_2_1d"] > 20.0) ): return True, f"exit_{mode_name}_d_6_46" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) ): return True, f"exit_{mode_name}_d_6_47" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_48" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["change_pct_1d"] > 5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_6_49" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1d"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 10.0) ): return True, f"exit_{mode_name}_d_6_50" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_51" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] < 46.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_6_52" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_6_53" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["change_pct_1d"] > 10.0) ): return True, f"exit_{mode_name}_d_6_54" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["ROC_9_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_55" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) ): return True, f"exit_{mode_name}_d_6_56" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 58.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_d_6_57" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_58" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_6_59" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_14_4h"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ): return True, f"exit_{mode_name}_d_6_60" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_6_61" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) and (last_candle["change_pct_1d"] > 5.0) ): return True, f"exit_{mode_name}_d_6_62" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_6_63" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_6_64" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_d_6_65" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_66" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_6_67" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_6_68" elif ( (last_candle["RSI_3"] < 7.0) and (last_candle["ROC_9_4h"] < -20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_6_69" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_6_70" elif ( (last_candle["RSI_3"] < 42.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_6_71" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_6_72" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_6_73" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_6_74" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_6_75" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["ROC_9_1h"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_6_76" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_6_77" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -78.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["RSI_3_1d"] > 80.0) ): return True, f"exit_{mode_name}_d_6_78" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_6_79" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_6_80" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] < 50.0)) ): return True, f"exit_{mode_name}_d_6_81" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_6_82" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_6_83" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_6_84" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_85" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_14_4h"] < 20.0) and (last_candle["ROC_2_1h"] > 5.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_86" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_87" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -74.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_1h"] > 2.0) ): return True, f"exit_{mode_name}_d_6_88" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["ROC_9_1h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_6_89" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROONU_14_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_6_90" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["AROONU_14_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_6_91" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_6_92" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_15m"] > 50.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["AROOND_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_6_93" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 55.0) and (last_candle["AROOND_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_6_94" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) and (isinstance(last_candle["AROOND_14_1d"], np.float64) and (last_candle["AROOND_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_6_95" elif ( (last_candle["RSI_3"] < 44.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_1d"] > 55.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_96" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_6_97" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_3_15m"] < 34.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["RSI_3_1d"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_98" elif ( (last_candle["RSI_3"] < 46.0) and (last_candle["RSI_14"] > 42.0) and (last_candle["RSI_3_1h"] > 35.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_d_6_99" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_6_100" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -78.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -40.0)) ): return True, f"exit_{mode_name}_d_6_101" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_6_102" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 38.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_14_4h"] < 30.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -80.0)) ): return True, f"exit_{mode_name}_d_6_103" elif ( (last_candle["RSI_3"] < 42.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_6_104" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_15m"] > 45.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_6_105" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_6_106" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["RSI_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_107" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_d_6_108" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_6_109" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_3_4h"] > 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_6_110" elif ( (last_candle["RSI_3"] < 56.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["AROOND_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_6_111" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["WILLR_14"] < -60.0) and (last_candle["RSI_14"] > 42.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["RSI_3_4h"] > 65.0) and (last_candle["RSI_3_1d"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_6_112" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1d"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_6_113" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 70.0) ): return True, f"exit_{mode_name}_d_6_114" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_115" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_6_116" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["AROONU_14_1h"] < 20.0) and (last_candle["AROONU_14_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_6_117" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_6_118" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) ): return True, f"exit_{mode_name}_d_6_119" elif ( (last_candle["RSI_3"] < 52.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_6_120" elif 0.08 > current_profit >= 0.07: if ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] > last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] > last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_7_1" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["CMF_20_1h"] > 0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_7_2" elif ( (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 2.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] > 10.0) ) ): return True, f"exit_{mode_name}_d_7_3" elif ( (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_7_4" elif ( (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_14"] < 32.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_7_5" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_7_6" elif ( (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_7_7" elif ( (last_candle["WILLR_14"] < -94.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["CMF_20_1h"] > 0.1) and (last_candle["CMF_20_4h"] > 0.1) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_7_8" elif ( (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3"] < 5.0) and (last_candle["change_pct_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_7_9" elif ( (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] > 10.0) and (last_candle["ROC_9_4h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_7_10" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_14"] > 55.0) and (last_candle["ROC_9_15m"] > 10.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_7_11" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_1h"] > 20.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_7_12" elif (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["ROC_9_4h"] > 25.0): return True, f"exit_{mode_name}_d_7_13" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_7_14" elif (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["ROC_9_4h"] > 30.0): return True, f"exit_{mode_name}_d_7_15" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["AROOND_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["AROOND_14_1d"] > 50.0) and (last_candle["change_pct_1d"] > 15.0) ): return True, f"exit_{mode_name}_d_7_16" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -30.0) ): return True, f"exit_{mode_name}_d_7_17" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["ROC_2_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_7_18" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_14"] < 32.0) and (last_candle["RSI_3_4h"] > 90.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_7_19" elif ( (last_candle["RSI_3"] < 54.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_7_20" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_7_21" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["change_pct_4h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_7_22" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_1d"] > 95.0) ): return True, f"exit_{mode_name}_d_7_23" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_14"] < 32.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_7_24" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_7_25" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_7_26" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_7_27" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 90.0) and (last_candle["ROC_9_4h"] < -50.0) ): return True, f"exit_{mode_name}_d_7_28" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_7_29" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) ): return True, f"exit_{mode_name}_d_7_30" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) ): return True, f"exit_{mode_name}_d_7_31" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_7_32" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["ROC_2_1h"] > 10.0) and (last_candle["ROC_9_1h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_33" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_14_1h"] < 20.0) and (last_candle["ROC_9_1h"] < -40.0) ): return True, f"exit_{mode_name}_d_7_34" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 25.0) ): return True, f"exit_{mode_name}_d_7_35" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_36" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_1d"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_37" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_7_38" elif ( (last_candle["RSI_3"] < 7.0) and (last_candle["WILLR_14"] < -93.0) and (last_candle["CMF_20_4h"] > 0.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_7_39" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_7_40" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_7_41" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -65.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_7_42" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_7_43" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_7_44" elif (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 90.0): return True, f"exit_{mode_name}_d_7_45" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_2_1d"] > 20.0) ): return True, f"exit_{mode_name}_d_7_46" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) ): return True, f"exit_{mode_name}_d_7_47" elif ( (last_candle["RSI_3"] < 45.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_48" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["change_pct_1d"] > 5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_7_49" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1d"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 10.0) ): return True, f"exit_{mode_name}_d_7_50" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_51" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] < 44.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_7_52" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_7_53" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["change_pct_1d"] > 10.0) ): return True, f"exit_{mode_name}_d_7_54" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["ROC_9_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_55" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) ): return True, f"exit_{mode_name}_d_7_56" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_d_7_57" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_58" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_7_59" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_14_4h"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ): return True, f"exit_{mode_name}_d_7_60" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_7_61" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) and (last_candle["change_pct_1d"] > 5.0) ): return True, f"exit_{mode_name}_d_7_62" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_7_63" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_7_64" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_d_7_65" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_66" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_7_67" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_7_68" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["ROC_9_4h"] < -20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_7_69" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_7_70" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_7_71" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_7_72" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_7_73" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_7_74" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_7_75" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["ROC_9_1h"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_7_76" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_7_77" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["RSI_3_1d"] > 80.0) ): return True, f"exit_{mode_name}_d_7_78" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_7_79" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_7_80" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] < 50.0)) ): return True, f"exit_{mode_name}_d_7_81" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_7_82" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_7_83" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_7_84" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_85" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14_4h"] < 20.0) and (last_candle["ROC_2_1h"] > 5.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_86" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_87" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -76.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_1h"] > 2.0) ): return True, f"exit_{mode_name}_d_7_88" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["ROC_9_1h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_7_89" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROONU_14_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_7_90" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["AROONU_14_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_7_91" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_7_92" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_15m"] > 50.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["AROOND_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_7_93" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 55.0) and (last_candle["AROOND_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_7_94" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) and (isinstance(last_candle["AROOND_14_1d"], np.float64) and (last_candle["AROOND_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_7_95" elif ( (last_candle["RSI_3"] < 42.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_1d"] > 55.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_96" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_7_97" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_3_15m"] < 32.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["RSI_3_1d"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_98" elif ( (last_candle["RSI_3"] < 44.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 35.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_d_7_99" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_14"] < 28.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_7_100" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -40.0)) ): return True, f"exit_{mode_name}_d_7_101" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_7_102" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 40.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_14_4h"] < 30.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -80.0)) ): return True, f"exit_{mode_name}_d_7_103" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_7_104" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_15m"] > 45.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_7_105" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_7_106" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["RSI_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_107" elif ( (last_candle["RSI_3"] < 48.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_d_7_108" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_7_109" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_3_4h"] > 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_7_110" elif ( (last_candle["RSI_3"] < 54.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["AROOND_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_7_111" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["WILLR_14"] < -65.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["RSI_3_4h"] > 65.0) and (last_candle["RSI_3_1d"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_7_112" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1d"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_7_113" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 70.0) ): return True, f"exit_{mode_name}_d_7_114" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_115" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_7_116" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["AROONU_14_1h"] < 20.0) and (last_candle["AROONU_14_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_7_117" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_7_118" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) ): return True, f"exit_{mode_name}_d_7_119" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_7_120" elif 0.09 > current_profit >= 0.08: if ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] > last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] > last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_8_1" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 34.0) and (last_candle["CMF_20_1h"] > 0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_8_2" elif ( (last_candle["WILLR_14"] < -92.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 2.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] > 10.0) ) ): return True, f"exit_{mode_name}_d_8_3" elif ( (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_14"] < 28.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_8_4" elif ( (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_8_5" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_8_6" elif ( (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_8_7" elif ( (last_candle["WILLR_14"] < -96.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["CMF_20_1h"] > 0.1) and (last_candle["CMF_20_4h"] > 0.1) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_8_8" elif ( (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3"] < 5.0) and (last_candle["change_pct_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_8_9" elif ( (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] > 10.0) and (last_candle["ROC_9_4h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_8_10" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 55.0) and (last_candle["ROC_9_15m"] > 10.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_8_11" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_1h"] > 20.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_8_12" elif (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["ROC_9_4h"] > 25.0): return True, f"exit_{mode_name}_d_8_13" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_8_14" elif (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["ROC_9_4h"] > 30.0): return True, f"exit_{mode_name}_d_8_15" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["AROOND_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["AROOND_14_1d"] > 50.0) and (last_candle["change_pct_1d"] > 15.0) ): return True, f"exit_{mode_name}_d_8_16" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -30.0) ): return True, f"exit_{mode_name}_d_8_17" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] < 28.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["ROC_2_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_8_18" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["RSI_3_4h"] > 90.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_8_19" elif ( (last_candle["RSI_3"] < 52.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_8_20" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_8_21" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["change_pct_4h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_8_22" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_1d"] > 95.0) ): return True, f"exit_{mode_name}_d_8_23" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_8_24" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_8_25" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_8_26" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_8_27" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 90.0) and (last_candle["ROC_9_4h"] < -50.0) ): return True, f"exit_{mode_name}_d_8_28" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_8_29" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) ): return True, f"exit_{mode_name}_d_8_30" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) ): return True, f"exit_{mode_name}_d_8_31" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_8_32" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["ROC_2_1h"] > 10.0) and (last_candle["ROC_9_1h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_33" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_14_1h"] < 20.0) and (last_candle["ROC_9_1h"] < -40.0) ): return True, f"exit_{mode_name}_d_8_34" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -93.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 25.0) ): return True, f"exit_{mode_name}_d_8_35" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_36" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_1d"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_37" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_8_38" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["CMF_20_4h"] > 0.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_8_39" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_8_40" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_8_41" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_8_42" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_8_43" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_8_44" elif (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 90.0): return True, f"exit_{mode_name}_d_8_45" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_2_1d"] > 20.0) ): return True, f"exit_{mode_name}_d_8_46" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) ): return True, f"exit_{mode_name}_d_8_47" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_48" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["change_pct_1d"] > 5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_8_49" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1d"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 10.0) ): return True, f"exit_{mode_name}_d_8_50" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_51" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] < 42.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_8_52" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_8_53" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["change_pct_1d"] > 10.0) ): return True, f"exit_{mode_name}_d_8_54" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["ROC_9_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_55" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) ): return True, f"exit_{mode_name}_d_8_56" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 62.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_d_8_57" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_58" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_8_59" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_14_4h"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ): return True, f"exit_{mode_name}_d_8_60" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_8_61" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) and (last_candle["change_pct_1d"] > 5.0) ): return True, f"exit_{mode_name}_d_8_62" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_8_63" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_8_64" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_d_8_65" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_66" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_8_67" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_8_68" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["ROC_9_4h"] < -20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_8_69" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_8_70" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_8_71" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_8_72" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_8_73" elif ( (last_candle["RSI_3"] < 3.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_8_74" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_8_75" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["ROC_9_1h"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_8_76" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_8_77" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["RSI_3_1d"] > 80.0) ): return True, f"exit_{mode_name}_d_8_78" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_8_79" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_8_80" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] < 50.0)) ): return True, f"exit_{mode_name}_d_8_81" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_8_82" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_8_83" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_8_84" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_85" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_14_4h"] < 20.0) and (last_candle["ROC_2_1h"] > 5.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_86" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_87" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -78.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_1h"] > 2.0) ): return True, f"exit_{mode_name}_d_8_88" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["ROC_9_1h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_8_89" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROONU_14_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_8_90" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["AROONU_14_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_8_91" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_8_92" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_15m"] > 50.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["AROOND_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_8_93" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 55.0) and (last_candle["AROOND_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_8_94" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) and (isinstance(last_candle["AROOND_14_1d"], np.float64) and (last_candle["AROOND_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_8_95" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_1d"] > 55.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_96" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_8_97" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["RSI_3_1d"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_98" elif ( (last_candle["RSI_3"] < 42.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 35.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_d_8_99" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_14"] < 26.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_8_100" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -40.0)) ): return True, f"exit_{mode_name}_d_8_101" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_8_102" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 42.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_14_4h"] < 30.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -80.0)) ): return True, f"exit_{mode_name}_d_8_103" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_8_104" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 45.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_8_105" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_8_106" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["RSI_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_107" elif ( (last_candle["RSI_3"] < 46.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_d_8_108" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_8_109" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_4h"] > 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_8_110" elif ( (last_candle["RSI_3"] < 52.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["AROOND_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_8_111" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -70.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["RSI_3_4h"] > 65.0) and (last_candle["RSI_3_1d"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_8_112" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1d"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_8_113" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 70.0) ): return True, f"exit_{mode_name}_d_8_114" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_115" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_8_116" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["AROONU_14_1h"] < 20.0) and (last_candle["AROONU_14_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_8_117" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_8_118" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) ): return True, f"exit_{mode_name}_d_8_119" elif ( (last_candle["RSI_3"] < 48.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_8_120" elif 0.1 > current_profit >= 0.09: if ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] > last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] > last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_9_1" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 32.0) and (last_candle["CMF_20_1h"] > 0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_9_2" elif ( (last_candle["WILLR_14"] < -94.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 2.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] > 10.0) ) ): return True, f"exit_{mode_name}_d_9_3" elif ( (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_14"] < 26.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_9_4" elif ( (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_14"] < 28.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_9_5" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_9_6" elif ( (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_9_7" elif ( (last_candle["WILLR_14"] < -98.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["CMF_20_1h"] > 0.1) and (last_candle["CMF_20_4h"] > 0.1) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_9_8" elif ( (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3"] < 5.0) and (last_candle["change_pct_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_9_9" elif ( (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] > 10.0) and (last_candle["ROC_9_4h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_9_10" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_14"] > 55.0) and (last_candle["ROC_9_15m"] > 10.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_9_11" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_1h"] > 20.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_9_12" elif (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["ROC_9_4h"] > 25.0): return True, f"exit_{mode_name}_d_9_13" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_9_14" elif (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_14"] < 34.0) and (last_candle["ROC_9_4h"] > 30.0): return True, f"exit_{mode_name}_d_9_15" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["AROOND_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["AROOND_14_1d"] > 50.0) and (last_candle["change_pct_1d"] > 15.0) ): return True, f"exit_{mode_name}_d_9_16" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -30.0) ): return True, f"exit_{mode_name}_d_9_17" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_14"] < 26.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["ROC_2_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_9_18" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_14"] < 28.0) and (last_candle["RSI_3_4h"] > 90.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_9_19" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_9_20" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_9_21" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["change_pct_4h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_9_22" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_1d"] > 95.0) ): return True, f"exit_{mode_name}_d_9_23" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_14"] < 28.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_9_24" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_9_25" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_9_26" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_9_27" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 90.0) and (last_candle["ROC_9_4h"] < -50.0) ): return True, f"exit_{mode_name}_d_9_28" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_9_29" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) ): return True, f"exit_{mode_name}_d_9_30" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) ): return True, f"exit_{mode_name}_d_9_31" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_9_32" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["ROC_2_1h"] > 10.0) and (last_candle["ROC_9_1h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_33" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_14_1h"] < 20.0) and (last_candle["ROC_9_1h"] < -40.0) ): return True, f"exit_{mode_name}_d_9_34" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 25.0) ): return True, f"exit_{mode_name}_d_9_35" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_36" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_1d"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_37" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_9_38" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["CMF_20_4h"] > 0.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_9_39" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_9_40" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_9_41" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_9_42" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_9_43" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_9_44" elif (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 90.0): return True, f"exit_{mode_name}_d_9_45" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_2_1d"] > 20.0) ): return True, f"exit_{mode_name}_d_9_46" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) ): return True, f"exit_{mode_name}_d_9_47" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_48" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["change_pct_1d"] > 5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_9_49" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1d"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 10.0) ): return True, f"exit_{mode_name}_d_9_50" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_51" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] < 40.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_9_52" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_9_53" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["change_pct_1d"] > 10.0) ): return True, f"exit_{mode_name}_d_9_54" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["ROC_9_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_55" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) ): return True, f"exit_{mode_name}_d_9_56" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 64.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_d_9_57" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_58" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_9_59" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_14_4h"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ): return True, f"exit_{mode_name}_d_9_60" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_9_61" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) and (last_candle["change_pct_1d"] > 5.0) ): return True, f"exit_{mode_name}_d_9_62" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_9_63" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_9_64" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_d_9_65" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_66" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_9_67" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_9_68" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["ROC_9_4h"] < -20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_9_69" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_9_70" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_9_71" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_9_72" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_9_73" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_9_74" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_9_75" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_9_76" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_9_77" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["RSI_3_1d"] > 80.0) ): return True, f"exit_{mode_name}_d_9_78" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_9_79" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_9_80" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] < 50.0)) ): return True, f"exit_{mode_name}_d_9_81" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_9_82" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_9_83" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_9_84" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_85" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_14_4h"] < 20.0) and (last_candle["ROC_2_1h"] > 5.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_86" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_87" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_1h"] > 2.0) ): return True, f"exit_{mode_name}_d_9_88" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_9_89" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROONU_14_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_9_90" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["AROONU_14_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_9_91" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_9_92" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 50.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["AROOND_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_9_93" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 55.0) and (last_candle["AROOND_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_9_94" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) and (isinstance(last_candle["AROOND_14_1d"], np.float64) and (last_candle["AROOND_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_9_95" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_1d"] > 55.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_96" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_9_97" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_15m"] < 28.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["RSI_3_1d"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_98" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 35.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_d_9_99" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_14"] < 24.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_9_100" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -40.0)) ): return True, f"exit_{mode_name}_d_9_101" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_9_102" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 44.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_14_4h"] < 30.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -80.0)) ): return True, f"exit_{mode_name}_d_9_103" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_9_104" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_15m"] > 45.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_9_105" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_9_106" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["RSI_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_107" elif ( (last_candle["RSI_3"] < 44.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_d_9_108" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_9_109" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_3_4h"] > 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_9_110" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["AROOND_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_9_111" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["RSI_3_4h"] > 65.0) and (last_candle["RSI_3_1d"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_9_112" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1d"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_9_113" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 70.0) ): return True, f"exit_{mode_name}_d_9_114" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_115" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_9_116" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["AROONU_14_1h"] < 20.0) and (last_candle["AROONU_14_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_9_117" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_9_118" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) ): return True, f"exit_{mode_name}_d_9_119" elif ( (last_candle["RSI_3"] < 46.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_9_120" elif 0.12 > current_profit >= 0.1: if ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] > last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] > last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_10_1" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["CMF_20_1h"] > 0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_10_2" elif ( (last_candle["WILLR_14"] < -96.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 2.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] > 10.0) ) ): return True, f"exit_{mode_name}_d_10_3" elif ( (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_14"] < 24.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_10_4" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 26.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_10_5" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_10_6" elif ( (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_10_7" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["CMF_20_1h"] > 0.1) and (last_candle["CMF_20_4h"] > 0.1) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_10_8" elif ( (last_candle["WILLR_14"] < -97.0) and (last_candle["RSI_3"] < 5.0) and (last_candle["change_pct_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_10_9" elif ( (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] > 10.0) and (last_candle["ROC_9_4h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_10_10" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_14"] > 55.0) and (last_candle["ROC_9_15m"] > 10.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_10_11" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_1h"] > 20.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_10_12" elif (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["ROC_9_4h"] > 25.0): return True, f"exit_{mode_name}_d_10_13" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_10_14" elif (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_14"] < 32.0) and (last_candle["ROC_9_4h"] > 30.0): return True, f"exit_{mode_name}_d_10_15" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["AROOND_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["AROOND_14_1d"] > 50.0) and (last_candle["change_pct_1d"] > 15.0) ): return True, f"exit_{mode_name}_d_10_16" elif ( (last_candle["RSI_3"] < 3.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -30.0) ): return True, f"exit_{mode_name}_d_10_17" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_14"] < 24.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["ROC_2_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_10_18" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_14"] < 26.0) and (last_candle["RSI_3_4h"] > 90.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_10_19" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_10_20" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_10_21" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["change_pct_4h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_10_22" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_1d"] > 95.0) ): return True, f"exit_{mode_name}_d_10_23" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_14"] < 26.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_10_24" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_10_25" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_10_26" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_10_27" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 90.0) and (last_candle["ROC_9_4h"] < -50.0) ): return True, f"exit_{mode_name}_d_10_28" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_10_29" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) ): return True, f"exit_{mode_name}_d_10_30" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) ): return True, f"exit_{mode_name}_d_10_31" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_10_32" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["ROC_2_1h"] > 10.0) and (last_candle["ROC_9_1h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_33" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_14_1h"] < 20.0) and (last_candle["ROC_9_1h"] < -40.0) ): return True, f"exit_{mode_name}_d_10_34" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 25.0) ): return True, f"exit_{mode_name}_d_10_35" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_36" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_1d"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_37" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_10_38" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["CMF_20_4h"] > 0.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_10_39" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_10_40" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_10_41" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_10_42" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_10_43" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_10_44" elif (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 90.0): return True, f"exit_{mode_name}_d_10_45" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_2_1d"] > 20.0) ): return True, f"exit_{mode_name}_d_10_46" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) ): return True, f"exit_{mode_name}_d_10_47" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_48" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["change_pct_1d"] > 5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_10_49" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1d"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 10.0) ): return True, f"exit_{mode_name}_d_10_50" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_51" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] < 38.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_10_52" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_10_53" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["change_pct_1d"] > 10.0) ): return True, f"exit_{mode_name}_d_10_54" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["ROC_9_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_55" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) ): return True, f"exit_{mode_name}_d_10_56" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 66.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_d_10_57" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_58" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_10_59" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["RSI_14_4h"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ): return True, f"exit_{mode_name}_d_10_60" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_10_61" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) and (last_candle["change_pct_1d"] > 5.0) ): return True, f"exit_{mode_name}_d_10_62" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_10_63" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_10_64" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_d_10_65" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_66" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_10_67" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_10_68" elif ( (last_candle["RSI_3"] < 3.0) and (last_candle["ROC_9_4h"] < -20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_10_69" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_10_70" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_10_71" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_10_72" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_10_73" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_10_74" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_10_75" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["ROC_9_1h"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_10_76" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_10_77" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["RSI_3_1d"] > 80.0) ): return True, f"exit_{mode_name}_d_10_78" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_10_79" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_10_80" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] < 50.0)) ): return True, f"exit_{mode_name}_d_10_81" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_10_82" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_10_83" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_10_84" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_85" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_14_4h"] < 20.0) and (last_candle["ROC_2_1h"] > 5.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_86" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_87" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -82.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_1h"] > 2.0) ): return True, f"exit_{mode_name}_d_10_88" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["ROC_9_1h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_10_89" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROONU_14_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_10_90" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["AROONU_14_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_10_91" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_10_92" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_15m"] > 50.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["AROOND_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_10_93" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 55.0) and (last_candle["AROOND_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_10_94" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) and (isinstance(last_candle["AROOND_14_1d"], np.float64) and (last_candle["AROOND_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_10_95" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_1d"] > 55.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_96" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_10_97" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_3_15m"] < 26.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["RSI_3_1d"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_98" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 35.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_d_10_99" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_10_100" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -40.0)) ): return True, f"exit_{mode_name}_d_10_101" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_10_102" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 46.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_14_4h"] < 30.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -80.0)) ): return True, f"exit_{mode_name}_d_10_103" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_10_104" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_15m"] > 45.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_10_105" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_10_106" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["RSI_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_107" elif ( (last_candle["RSI_3"] < 42.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_d_10_108" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_10_109" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_3_4h"] > 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_10_110" elif ( (last_candle["RSI_3"] < 48.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["AROOND_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_10_111" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["RSI_3_4h"] > 65.0) and (last_candle["RSI_3_1d"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_10_112" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1d"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_10_113" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 70.0) ): return True, f"exit_{mode_name}_d_10_114" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_115" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_10_116" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["AROONU_14_1h"] < 20.0) and (last_candle["AROONU_14_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_10_117" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_10_118" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) ): return True, f"exit_{mode_name}_d_10_119" elif ( (last_candle["RSI_3"] < 44.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_10_120" elif 0.2 > current_profit >= 0.12: if ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] > last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] > last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_11_1" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 26.0) and (last_candle["CMF_20_1h"] > 0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_11_2" elif ( (last_candle["WILLR_14"] < -98.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 1.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] > 10.0) ) ): return True, f"exit_{mode_name}_d_11_3" elif ( (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_11_4" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 24.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_11_5" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_11_6" elif ( (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_11_7" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 2.0) and (last_candle["CMF_20_1h"] > 0.1) and (last_candle["CMF_20_4h"] > 0.1) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_11_8" elif ( (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3"] < 5.0) and (last_candle["change_pct_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_11_9" elif ( (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] > 10.0) and (last_candle["ROC_9_4h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_11_10" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_14"] > 55.0) and (last_candle["ROC_9_15m"] > 10.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_11_11" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_1h"] > 20.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_11_12" elif (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["ROC_9_4h"] > 25.0): return True, f"exit_{mode_name}_d_11_13" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_11_14" elif (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_14"] < 30.0) and (last_candle["ROC_9_4h"] > 30.0): return True, f"exit_{mode_name}_d_11_15" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["AROOND_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["AROOND_14_1d"] > 50.0) and (last_candle["change_pct_1d"] > 15.0) ): return True, f"exit_{mode_name}_d_11_16" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -30.0) ): return True, f"exit_{mode_name}_d_11_17" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["ROC_2_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_11_18" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_14"] < 24.0) and (last_candle["RSI_3_4h"] > 90.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_11_19" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_11_20" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_11_21" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["change_pct_4h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_11_22" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_1d"] > 95.0) ): return True, f"exit_{mode_name}_d_11_23" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_14"] < 24.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_11_24" elif ( (last_candle["RSI_3"] < 3.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_11_25" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_11_26" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_11_27" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 90.0) and (last_candle["ROC_9_4h"] < -50.0) ): return True, f"exit_{mode_name}_d_11_28" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_11_29" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) ): return True, f"exit_{mode_name}_d_11_30" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) ): return True, f"exit_{mode_name}_d_11_31" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_11_32" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["ROC_2_1h"] > 10.0) and (last_candle["ROC_9_1h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_33" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_14_1h"] < 20.0) and (last_candle["ROC_9_1h"] < -40.0) ): return True, f"exit_{mode_name}_d_11_34" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 25.0) ): return True, f"exit_{mode_name}_d_11_35" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_36" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_1d"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_37" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_11_38" elif ( (last_candle["RSI_3"] < 3.0) and (last_candle["WILLR_14"] < -97.0) and (last_candle["CMF_20_4h"] > 0.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_11_39" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_11_40" elif ( (last_candle["RSI_3"] < 3.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_11_41" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_11_42" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_11_43" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_11_44" elif (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 90.0): return True, f"exit_{mode_name}_d_11_45" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_2_1d"] > 20.0) ): return True, f"exit_{mode_name}_d_11_46" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) ): return True, f"exit_{mode_name}_d_11_47" elif ( (last_candle["RSI_3"] < 25.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_48" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["change_pct_1d"] > 5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_11_49" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1d"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 10.0) ): return True, f"exit_{mode_name}_d_11_50" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_51" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] < 36.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_11_52" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_11_53" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["change_pct_1d"] > 10.0) ): return True, f"exit_{mode_name}_d_11_54" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["ROC_9_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_55" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) ): return True, f"exit_{mode_name}_d_11_56" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 68.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_d_11_57" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_58" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_11_59" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_14_4h"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ): return True, f"exit_{mode_name}_d_11_60" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_11_61" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) and (last_candle["change_pct_1d"] > 5.0) ): return True, f"exit_{mode_name}_d_11_62" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_11_63" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_11_64" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_d_11_65" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_66" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_11_67" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_11_68" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["ROC_9_4h"] < -20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_11_69" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_11_70" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_11_71" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_11_72" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_11_73" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_11_74" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_11_75" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["ROC_9_1h"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_11_76" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_11_77" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["RSI_3_1d"] > 80.0) ): return True, f"exit_{mode_name}_d_11_78" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_11_79" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_11_80" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] < 50.0)) ): return True, f"exit_{mode_name}_d_11_81" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_11_82" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_11_83" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_11_84" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_85" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_14_4h"] < 20.0) and (last_candle["ROC_2_1h"] > 5.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_86" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_87" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -84.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_1h"] > 2.0) ): return True, f"exit_{mode_name}_d_11_88" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["ROC_9_1h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_11_89" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROONU_14_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_11_90" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["AROONU_14_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_11_91" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_11_92" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_15m"] > 50.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["AROOND_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_11_93" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 55.0) and (last_candle["AROOND_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_11_94" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) and (isinstance(last_candle["AROOND_14_1d"], np.float64) and (last_candle["AROOND_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_11_95" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_1d"] > 55.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_96" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_11_97" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_3_15m"] < 24.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["RSI_3_1d"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_98" elif ( (last_candle["RSI_3"] < 36.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 35.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_d_11_99" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] < 20.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_11_100" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -88.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -40.0)) ): return True, f"exit_{mode_name}_d_11_101" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_11_102" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 48.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_14_4h"] < 30.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -80.0)) ): return True, f"exit_{mode_name}_d_11_103" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_11_104" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_15m"] > 45.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_11_105" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_11_106" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["RSI_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_107" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_d_11_108" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_11_109" elif ( (last_candle["RSI_3"] < 24.0) and (last_candle["RSI_3_4h"] > 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_11_110" elif ( (last_candle["RSI_3"] < 46.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["AROOND_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_11_111" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["WILLR_14"] < -85.0) and (last_candle["RSI_14"] > 52.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["RSI_3_4h"] > 65.0) and (last_candle["RSI_3_1d"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_11_112" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1d"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_11_113" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 70.0) ): return True, f"exit_{mode_name}_d_11_114" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_115" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_116" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["AROONU_14_1h"] < 20.0) and (last_candle["AROONU_14_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_11_117" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_11_118" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) ): return True, f"exit_{mode_name}_d_11_119" elif ( (last_candle["RSI_3"] < 42.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_11_120" elif current_profit >= 0.2: if ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) and (last_candle["KST_10_15_20_30_10_10_10_15_1h"] > last_candle["KSTs_9_1h"]) and (last_candle["KST_10_15_20_30_10_10_10_15_4h"] > last_candle["KSTs_9_4h"]) ): return True, f"exit_{mode_name}_d_12_1" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["CMF_20_1h"] > 0.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_12_2" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 1.0) and (last_candle["CMF_20_1h"] > 0.0) and (last_candle["CMF_20_4h"] > 0.0) and ( (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) and (last_candle["STOCHRSIk_14_14_3_3_change_pct_4h"] > 10.0) ) ): return True, f"exit_{mode_name}_d_12_3" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and ( isinstance(last_candle["EMA_200_1h"], np.float64) and (last_candle["EMA_12_1h"] > last_candle["EMA_200_1h"]) ) and ( isinstance(last_candle["EMA_200_4h"], np.float64) and (last_candle["EMA_12_4h"] > last_candle["EMA_200_4h"]) ) ): return True, f"exit_{mode_name}_d_12_4" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["ROC_9_1h"] > 5.0) and (last_candle["ROC_9_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_12_5" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 30.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_12_6" elif ( (last_candle["RSI_14"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 40.0)) ): return True, f"exit_{mode_name}_d_12_7" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["STOCHRSIk_14_14_3_3"] < 1.0) and (last_candle["CMF_20_1h"] > 0.1) and (last_candle["CMF_20_4h"] > 0.1) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -15.0)) ): return True, f"exit_{mode_name}_d_12_8" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3"] < 1.0) and (last_candle["change_pct_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_12_9" elif ( (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["ROC_9_1h"] > 10.0) and (last_candle["ROC_9_4h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) ): return True, f"exit_{mode_name}_d_12_10" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] > 55.0) and (last_candle["ROC_9_15m"] > 10.0) and (last_candle["ROC_9_1h"] > 10.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 20.0)) ): return True, f"exit_{mode_name}_d_12_11" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_1h"] > 20.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_12_12" elif (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["ROC_9_4h"] > 25.0): return True, f"exit_{mode_name}_d_12_13" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 95.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_12_14" elif (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] < 25.0) and (last_candle["ROC_9_4h"] > 30.0): return True, f"exit_{mode_name}_d_12_15" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["AROOND_14_4h"] > 25.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["AROOND_14_1d"] > 50.0) and (last_candle["change_pct_1d"] > 15.0) ): return True, f"exit_{mode_name}_d_12_16" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -30.0) ): return True, f"exit_{mode_name}_d_12_17" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] < 20.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["ROC_2_1d"] > 50.0) ): return True, f"exit_{mode_name}_d_12_18" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["RSI_3_4h"] > 90.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_12_19" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_1h"] > 25.0) ): return True, f"exit_{mode_name}_d_12_20" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) ): return True, f"exit_{mode_name}_d_12_21" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["change_pct_4h"] > 5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_12_22" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_1d"] > 95.0) ): return True, f"exit_{mode_name}_d_12_23" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_14"] < 22.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_12_24" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_9_4h"] > 15.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_12_25" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_12_26" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_12_27" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_15m"] > 90.0) and (last_candle["ROC_9_4h"] < -50.0) ): return True, f"exit_{mode_name}_d_12_28" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_12_29" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) ): return True, f"exit_{mode_name}_d_12_30" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) ): return True, f"exit_{mode_name}_d_12_31" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_12_32" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["ROC_2_1h"] > 10.0) and (last_candle["ROC_9_1h"] < -30.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_33" elif ( (last_candle["RSI_3"] < 35.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["RSI_14_1h"] < 20.0) and (last_candle["ROC_9_1h"] < -40.0) ): return True, f"exit_{mode_name}_d_12_34" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 25.0) ): return True, f"exit_{mode_name}_d_12_35" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["ROC_9_4h"] > 25.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_11_36" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_1d"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_37" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_12_38" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["CMF_20_4h"] > 0.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_12_39" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_12_40" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_12_41" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 30.0) ) ): return True, f"exit_{mode_name}_d_12_42" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_12_43" elif ( (last_candle["RSI_3"] < 15.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 25.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) ): return True, f"exit_{mode_name}_d_12_44" elif (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 90.0): return True, f"exit_{mode_name}_d_12_45" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["ROC_2_1d"] > 20.0) ): return True, f"exit_{mode_name}_d_12_46" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (last_candle["change_pct_1d"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 5.0)) ): return True, f"exit_{mode_name}_d_12_47" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_48" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["change_pct_1d"] > 5.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_12_49" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1d"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 10.0) ): return True, f"exit_{mode_name}_d_12_50" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_51" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14"] < 34.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) ): return True, f"exit_{mode_name}_d_12_52" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_12_53" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["ROC_9_4h"] > 10.0) and (last_candle["change_pct_1d"] > 10.0) ): return True, f"exit_{mode_name}_d_12_54" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -92.0) and (last_candle["ROC_9_4h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -10.0)) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_55" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) ): return True, f"exit_{mode_name}_d_12_56" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 30.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) ): return True, f"exit_{mode_name}_d_12_57" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_58" elif ( (last_candle["RSI_3"] < 5.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 15.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_12_59" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 66.0) and (last_candle["RSI_14_4h"] < 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ): return True, f"exit_{mode_name}_d_12_60" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -95.0) and (last_candle["RSI_3_4h"] > 90.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 70.0) ): return True, f"exit_{mode_name}_d_12_61" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) and (last_candle["change_pct_1d"] > 5.0) ): return True, f"exit_{mode_name}_d_12_62" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_12_63" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_12_64" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 85.0) ): return True, f"exit_{mode_name}_d_12_65" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_66" elif ( (last_candle["RSI_3"] < 50.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_12_67" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["ROC_2_4h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_12_68" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["ROC_9_4h"] < -20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_4h"] > 5.0) ): return True, f"exit_{mode_name}_d_12_69" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 66.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 80.0) ): return True, f"exit_{mode_name}_d_12_70" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_12_71" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3_1h"] > 90.0) and (last_candle["AROOND_14_4h"] > 25.0) ): return True, f"exit_{mode_name}_d_12_72" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 85.0) and (last_candle["ROC_9_4h"] > 20.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_12_73" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["RSI_3_1d"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 50.0) ): return True, f"exit_{mode_name}_d_12_74" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_12_75" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["ROC_9_1h"] < -80.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_12_76" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_12_77" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 80.0) and (last_candle["RSI_3_1d"] > 80.0) ): return True, f"exit_{mode_name}_d_12_78" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 90.0) ): return True, f"exit_{mode_name}_d_12_79" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 75.0) ): return True, f"exit_{mode_name}_d_12_80" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (isinstance(last_candle["RSI_14_1d"], np.float64) and (last_candle["RSI_14_1d"] < 50.0)) ): return True, f"exit_{mode_name}_d_12_81" elif ( (last_candle["RSI_3"] < 12.0) and (last_candle["WILLR_14"] < -96.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 85.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_12_82" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) ): return True, f"exit_{mode_name}_d_12_83" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 80.0) ): return True, f"exit_{mode_name}_d_12_84" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 70.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_85" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14_4h"] < 20.0) and (last_candle["ROC_2_1h"] > 5.0) and (last_candle["ROC_9_1h"] < -5.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_86" elif ( (last_candle["RSI_3"] < 28.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_87" elif ( (last_candle["RSI_3"] < 6.0) and (last_candle["WILLR_14"] < -86.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["change_pct_1h"] > 2.0) ): return True, f"exit_{mode_name}_d_12_88" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 66.0) and (last_candle["ROC_9_1h"] > 5.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -25.0)) ): return True, f"exit_{mode_name}_d_12_89" elif ( (last_candle["RSI_3"] < 2.0) and (last_candle["WILLR_14"] < -75.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["AROONU_14_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_12_90" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 75.0) and (last_candle["AROONU_14_4h"] < 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 50.0) ) ): return True, f"exit_{mode_name}_d_12_91" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 75.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 25.0)) ): return True, f"exit_{mode_name}_d_12_92" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_15m"] > 50.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["AROOND_14_4h"] > 50.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_12_93" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 75.0) and (last_candle["RSI_3_4h"] > 55.0) and (last_candle["AROOND_14_1h"] > 75.0) and ( isinstance(last_candle["STOCHRSIk_14_14_3_3_1d"], np.float64) and (last_candle["STOCHRSIk_14_14_3_3_1d"] < 10.0) ) ): return True, f"exit_{mode_name}_d_12_94" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -94.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 90.0) and (isinstance(last_candle["AROOND_14_1d"], np.float64) and (last_candle["AROOND_14_1d"] > 75.0)) ): return True, f"exit_{mode_name}_d_12_95" elif ( (last_candle["RSI_3"] < 32.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 55.0) and (last_candle["RSI_3_1d"] > 55.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_96" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 60.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 70.0) ): return True, f"exit_{mode_name}_d_12_97" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_3_15m"] < 22.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["RSI_3_1d"] < 20.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_98" elif ( (last_candle["RSI_3"] < 34.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 35.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 50.0) and (last_candle["STOCHk_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -80.0)) ): return True, f"exit_{mode_name}_d_12_99" elif ( (last_candle["RSI_3"] < 1.0) and (last_candle["RSI_14"] < 18.0) and (last_candle["RSI_3_15m"] < 30.0) and (last_candle["RSI_3_4h"] > 20.0) ): return True, f"exit_{mode_name}_d_12_100" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 60.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -40.0)) ): return True, f"exit_{mode_name}_d_12_101" elif ( (last_candle["RSI_3"] < 26.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 70.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -40.0)) ): return True, f"exit_{mode_name}_d_12_102" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 50.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_14_4h"] < 30.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -80.0)) ): return True, f"exit_{mode_name}_d_12_103" elif ( (last_candle["RSI_3"] < 30.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_12_104" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_15m"] > 45.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 10.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_12_105" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["ROC_9_4h"] < -40.0) ): return True, f"exit_{mode_name}_d_12_106" elif ( (last_candle["RSI_3"] < 20.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) and (last_candle["RSI_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_107" elif ( (last_candle["RSI_3"] < 38.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 20.0) ): return True, f"exit_{mode_name}_d_12_108" elif ( (last_candle["RSI_3"] < 18.0) and (last_candle["WILLR_14"] < -98.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_3_4h"] > 80.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -50.0)) ): return True, f"exit_{mode_name}_d_12_109" elif ( (last_candle["RSI_3"] < 22.0) and (last_candle["RSI_3_4h"] > 35.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (last_candle["ROC_9_4h"] < -25.0) ): return True, f"exit_{mode_name}_d_12_110" elif ( (last_candle["RSI_3"] < 44.0) and (last_candle["RSI_14"] > 62.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["RSI_14_4h"] < 30.0) and (last_candle["AROOND_14_1h"] > 75.0) and (last_candle["AROOND_14_4h"] > 75.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -20.0)) ): return True, f"exit_{mode_name}_d_12_111" elif ( (last_candle["RSI_3"] < 14.0) and (last_candle["WILLR_14"] < -90.0) and (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3_1h"] > 65.0) and (last_candle["RSI_3_4h"] > 65.0) and (last_candle["RSI_3_1d"] > 40.0) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] < -30.0)) ): return True, f"exit_{mode_name}_d_12_112" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["WILLR_14"] < -99.0) and (last_candle["RSI_3_1d"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) and (isinstance(last_candle["ROC_9_4h"], np.float64) and (last_candle["ROC_9_4h"] < -10.0)) and (isinstance(last_candle["ROC_9_1d"], np.float64) and (last_candle["ROC_9_1d"] > 10.0)) ): return True, f"exit_{mode_name}_d_12_113" elif ( (last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 56.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 70.0) and (last_candle["RSI_3_1d"] > 70.0) ): return True, f"exit_{mode_name}_d_12_114" elif ( (last_candle["RSI_3"] < 16.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_15m"] > 70.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_115" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_3_1h"] > 85.0) and (last_candle["RSI_3_4h"] > 60.0) and (last_candle["AROONU_14_4h"] < 50.0) ): return True, f"exit_{mode_name}_d_12_116" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["RSI_3_1h"] > 50.0) and (last_candle["AROONU_14_1h"] < 20.0) and (last_candle["AROONU_14_4h"] < 20.0) ): return True, f"exit_{mode_name}_d_12_117" elif ( (last_candle["RSI_3"] < 4.0) and (last_candle["RSI_3_1h"] > 80.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["AROOND_14_4h"] > 40.0) ): return True, f"exit_{mode_name}_d_12_118" elif ( (last_candle["RSI_3"] < 8.0) and (last_candle["WILLR_14"] < -80.0) and (last_candle["RSI_3_1h"] > 40.0) and (last_candle["RSI_3_4h"] > 40.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 60.0) ): return True, f"exit_{mode_name}_d_12_119" elif ( (last_candle["RSI_3"] < 40.0) and (last_candle["RSI_14"] > 58.0) and (last_candle["RSI_3_1h"] > 60.0) and (last_candle["AROOND_14_4h"] > 75.0) ): return True, f"exit_{mode_name}_d_12_120" # Here ends exit signal conditions for short_exit_dec return False, None # Short Exit Stop Loss # --------------------------------------------------------------------------------------------- def short_exit_stoploss( self, mode_name: str, current_rate: float, profit_stake: float, profit_ratio: float, profit_current_stake_ratio: float, profit_init_ratio: float, max_profit: float, max_loss: float, filled_entries, filled_exits, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", buy_tag, ) -> tuple: is_backtest = self.is_backtest_mode() if not self.stops_enable: return False, None # Stoploss doom if ( self.doom_stops_enable and ( profit_stake < -( filled_entries[0].cost * (self.stop_threshold_doom_futures if self.is_futures_mode else self.stop_threshold_doom_spot) ) ) and (self.has_valid_entry_conditions(trade, current_rate, last_candle, previous_candle_1) == False) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): return True, f"exit_{mode_name}_stoploss_doom" # Stoploss u_e if ( self.u_e_stops_enable and ( profit_stake < -( filled_entries[0].cost * (self.stop_threshold_futures if self.is_futures_mode else self.stop_threshold_spot) # / trade.leverage ) ) and (last_candle["close"] > last_candle["EMA_200"]) and (last_candle["CMF_20"] > 0.0) and (((last_candle["close"] - last_candle["EMA_200"]) / last_candle["EMA_200"]) < 0.010) and (last_candle["RSI_14"] < previous_candle_1["RSI_14"]) and (last_candle["RSI_14"] < (last_candle["RSI_14_1h"] - 24.0)) # and (current_time - timedelta(minutes=720) > trade.open_date_utc) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2025, 4, 3) or is_backtest) ): return True, f"exit_{mode_name}_stoploss_u_e" # Here ends exit signal conditions for short_exit_stoploss return False, None ############################################################################################### # SHORT EXIT FUNCTIONS ENDS HERE ############################################################################################### # SHORT GRIND FUNCTIONS STARTS HERE ############################################################################################### # # ______ __ __ ______ _______ ________ ______ _______ ______ __ __ _______ # / \| \ | \/ \| | \ / \| \| | \ | | \ # | $$$$$$| $$ | $| $$$$$$| $$$$$$$\$$$$$$$$ | $$$$$$| $$$$$$$\\$$$$$| $$\ | $| $$$$$$$\ # | $$___\$| $$__| $| $$ | $| $$__| $$ | $$ | $$ __\$| $$__| $$ | $$ | $$$\| $| $$ | $$ # \$$ \| $$ $| $$ | $| $$ $$ | $$ | $$| | $$ $$ | $$ | $$$$\ $| $$ | $$ # _\$$$$$$| $$$$$$$| $$ | $| $$$$$$$\ | $$ | $$ \$$$| $$$$$$$\ | $$ | $$\$$ $| $$ | $$ # | \__| $| $$ | $| $$__/ $| $$ | $$ | $$ | $$__| $| $$ | $$_| $$_| $$ \$$$| $$__/ $$ # \$$ $| $$ | $$\$$ $| $$ | $$ | $$ \$$ $| $$ | $| $$ | $$ \$$| $$ $$ # \$$$$$$ \$$ \$$ \$$$$$$ \$$ \$$ \$$ \$$$$$$ \$$ \$$\$$$$$$\$$ \$$\$$$$$$$ # # Short Grinding Adjust Trade Position v2 # --------------------------------------------------------------------------------------------- def short_grind_adjust_trade_position_v2( self, trade: Trade, enter_tags, current_time: datetime, current_rate: float, current_profit: float, min_stake: Optional[float], max_stake: float, current_entry_rate: float, current_exit_rate: float, current_entry_profit: float, current_exit_profit: float, **kwargs, ): is_backtest = self.is_backtest_mode() min_stake = self.correct_min_stake(min_stake) # min/max stakes include leverage. The return amounts is before leverage. min_stake /= trade.leverage max_stake /= trade.leverage df, _ = self.dp.get_analyzed_dataframe(trade.pair, self.timeframe) if len(df) < 2: return None last_candle = df.iloc[-1].squeeze() previous_candle = df.iloc[-2].squeeze() # we already waiting for an order to get filled if trade.has_open_orders: return None filled_orders = trade.select_filled_orders() filled_entries = trade.select_filled_orders(trade.entry_side) filled_exits = trade.select_filled_orders(trade.exit_side) count_of_entries = trade.nr_of_successful_entries count_of_exits = trade.nr_of_successful_exits exit_rate = current_rate if self.dp.runmode.value in ("live", "dry_run"): ticker = self.dp.ticker(trade.pair) if ("bid" in ticker) and ("ask" in ticker): if trade.is_short: if self.config["exit_pricing"]["price_side"] in ["ask", "other"]: if ticker["ask"] is not None: exit_rate = ticker["ask"] else: if self.config["exit_pricing"]["price_side"] in ["bid", "other"]: if ticker["bid"] is not None: exit_rate = ticker["bid"] profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio = self.calc_total_profit( trade, filled_entries, filled_exits, exit_rate ) current_stake_amount = trade.amount * exit_rate slice_amount = filled_entries[0].cost slice_profit = (exit_rate - filled_orders[-1].safe_price) / filled_orders[-1].safe_price slice_profit_entry = (exit_rate - filled_entries[-1].safe_price) / filled_entries[-1].safe_price slice_profit_exit = ( ((exit_rate - filled_exits[-1].safe_price) / filled_exits[-1].safe_price) if count_of_exits > 0 else 0.0 ) has_order_tags = False if hasattr(filled_orders[0], "ft_order_tag"): has_order_tags = True fee_open_rate = trade.fee_open if self.custom_fee_open_rate is None else self.custom_fee_open_rate fee_close_rate = trade.fee_close if self.custom_fee_close_rate is None else self.custom_fee_close_rate is_short_buyback_entry = self.short_buyback_entry_v2(last_candle, previous_candle, slice_profit, True) is_short_grind_entry = self.short_grind_entry_v2(last_candle, previous_candle, slice_profit, True) grind_1_max_sub_grinds = 0 grind_1_stakes = ( self.grinding_v2_grind_1_stakes_futures.copy() if self.is_futures_mode else self.grinding_v2_grind_1_stakes_spot.copy() ) grind_1_sub_thresholds = ( self.grinding_v2_grind_1_thresholds_futures if self.is_futures_mode else self.grinding_v2_grind_1_thresholds_spot ) if (slice_amount * grind_1_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_1_stakes[0] * trade.leverage for i, _ in enumerate(grind_1_stakes): grind_1_stakes[i] *= multi grind_1_max_sub_grinds = len(grind_1_stakes) grind_1_derisk_grinds = ( self.grinding_v2_grind_1_derisk_futures if self.is_futures_mode else self.grinding_v2_grind_1_derisk_spot ) grind_1_profit_threshold = ( self.grinding_v2_grind_1_profit_threshold_futures if self.is_futures_mode else self.grinding_v2_grind_1_profit_threshold_spot ) grind_2_max_sub_grinds = 0 grind_2_stakes = ( self.grinding_v2_grind_2_stakes_futures.copy() if self.is_futures_mode else self.grinding_v2_grind_2_stakes_spot.copy() ) grind_2_sub_thresholds = ( self.grinding_v2_grind_2_thresholds_futures if self.is_futures_mode else self.grinding_v2_grind_2_thresholds_spot ) if (slice_amount * grind_2_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_2_stakes[0] * trade.leverage for i, _ in enumerate(grind_2_stakes): grind_2_stakes[i] *= multi grind_2_max_sub_grinds = len(grind_2_stakes) grind_2_derisk_grinds = ( self.grinding_v2_grind_2_derisk_futures if self.is_futures_mode else self.grinding_v2_grind_2_derisk_spot ) grind_2_profit_threshold = ( self.grinding_v2_grind_2_profit_threshold_futures if self.is_futures_mode else self.grinding_v2_grind_2_profit_threshold_spot ) grind_3_max_sub_grinds = 0 grind_3_stakes = ( self.grinding_v2_grind_3_stakes_futures.copy() if self.is_futures_mode else self.grinding_v2_grind_3_stakes_spot.copy() ) grind_3_sub_thresholds = ( self.grinding_v2_grind_3_thresholds_futures if self.is_futures_mode else self.grinding_v2_grind_3_thresholds_spot ) if (slice_amount * grind_3_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_3_stakes[0] * trade.leverage for i, _ in enumerate(grind_3_stakes): grind_3_stakes[i] *= multi grind_3_max_sub_grinds = len(grind_3_stakes) grind_3_derisk_grinds = ( self.grinding_v2_grind_3_derisk_futures if self.is_futures_mode else self.grinding_v2_grind_3_derisk_spot ) grind_3_profit_threshold = ( self.grinding_v2_grind_3_profit_threshold_futures if self.is_futures_mode else self.grinding_v2_grind_3_profit_threshold_spot ) is_derisk_1 = False is_derisk_1_found = False # derisk_level_1 de-risk exit derisk_1_order = None is_derisk_2 = False is_derisk_2_found = False # derisk_level_2 de-risk exit derisk_2_order = None is_derisk_3 = False is_derisk_3_found = False # derisk_level_3 de-risk exit derisk_3_order = None buyback_1_sub_grind_count = 0 buyback_1_total_amount = 0.0 buyback_1_total_cost = 0.0 buyback_1_current_open_rate = 0.0 buyback_1_current_grind_stake = 0.0 buyback_1_current_grind_stake_profit = 0.0 buyback_1_is_exit_found = False buyback_1_found = False buyback_1_buy_orders = [] buyback_1_distance_ratio = 0.0 buyback_1_exit_order = None buyback_1_exit_distance_ratio = 0.0 buyback_2_sub_grind_count = 0 buyback_2_total_amount = 0.0 buyback_2_total_cost = 0.0 buyback_2_current_open_rate = 0.0 buyback_2_current_grind_stake = 0.0 buyback_2_current_grind_stake_profit = 0.0 buyback_2_is_exit_found = False buyback_2_found = False buyback_2_buy_orders = [] buyback_2_distance_ratio = 0.0 buyback_2_exit_order = None buyback_2_exit_distance_ratio = 0.0 buyback_3_sub_grind_count = 0 buyback_3_total_amount = 0.0 buyback_3_total_cost = 0.0 buyback_3_current_open_rate = 0.0 buyback_3_current_grind_stake = 0.0 buyback_3_current_grind_stake_profit = 0.0 buyback_3_is_exit_found = False buyback_3_found = False buyback_3_buy_orders = [] buyback_3_distance_ratio = 0.0 buyback_3_exit_order = None buyback_3_exit_distance_ratio = 0.0 grind_1_sub_grind_count = 0 grind_1_total_amount = 0.0 grind_1_total_cost = 0.0 grind_1_current_open_rate = 0.0 grind_1_current_grind_stake = 0.0 grind_1_current_grind_stake_profit = 0.0 grind_1_is_exit_found = False grind_1_found = False grind_1_buy_orders = [] grind_1_distance_ratio = 0.0 grind_1_exit_order = None grind_1_exit_distance_ratio = 0.0 grind_2_sub_grind_count = 0 grind_2_total_amount = 0.0 grind_2_total_cost = 0.0 grind_2_current_open_rate = 0.0 grind_2_current_grind_stake = 0.0 grind_2_current_grind_stake_profit = 0.0 grind_2_is_exit_found = False grind_2_found = False grind_2_buy_orders = [] grind_2_distance_ratio = 0.0 grind_2_exit_order = None grind_2_exit_distance_ratio = 0.0 grind_3_sub_grind_count = 0 grind_3_total_amount = 0.0 grind_3_total_cost = 0.0 grind_3_current_open_rate = 0.0 grind_3_current_grind_stake = 0.0 grind_3_current_grind_stake_profit = 0.0 grind_3_is_exit_found = False grind_3_found = False grind_3_buy_orders = [] grind_3_distance_ratio = 0.0 grind_3_exit_order = None grind_3_exit_distance_ratio = 0.0 for order in reversed(filled_orders): if (order.ft_order_side == "sell") and (order is not filled_orders[0]): order_tag = "" if has_order_tags: if order.ft_order_tag is not None: order_tag = order.ft_order_tag if not buyback_1_is_exit_found and order_tag == "buyback_1_entry": buyback_1_sub_grind_count += 1 buyback_1_total_amount += order.safe_filled buyback_1_total_cost += order.safe_filled * order.safe_price buyback_1_buy_orders.append(order.id) if not buyback_1_found: buyback_1_distance_ratio = (exit_rate - order.safe_price) / order.safe_price buyback_1_found = True elif not buyback_2_is_exit_found and order_tag == "buyback_2_entry": buyback_2_sub_grind_count += 1 buyback_2_total_amount += order.safe_filled buyback_2_total_cost += order.safe_filled * order.safe_price buyback_2_buy_orders.append(order.id) if not buyback_2_found: buyback_2_distance_ratio = (exit_rate - order.safe_price) / order.safe_price buyback_2_found = True elif not buyback_3_is_exit_found and order_tag == "buyback_3_entry": buyback_3_sub_grind_count += 1 buyback_3_total_amount += order.safe_filled buyback_3_total_cost += order.safe_filled * order.safe_price buyback_3_buy_orders.append(order.id) if not buyback_3_found: buyback_3_distance_ratio = (exit_rate - order.safe_price) / order.safe_price buyback_3_found = True elif not grind_1_is_exit_found and order_tag == "grind_1_entry": grind_1_sub_grind_count += 1 grind_1_total_amount += order.safe_filled grind_1_total_cost += order.safe_filled * order.safe_price grind_1_buy_orders.append(order.id) if not grind_1_found: grind_1_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_1_found = True elif not grind_2_is_exit_found and order_tag == "grind_2_entry": grind_2_sub_grind_count += 1 grind_2_total_amount += order.safe_filled grind_2_total_cost += order.safe_filled * order.safe_price grind_2_buy_orders.append(order.id) if not grind_2_found: grind_2_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_2_found = True elif not grind_3_is_exit_found and order_tag == "grind_3_entry": grind_3_sub_grind_count += 1 grind_3_total_amount += order.safe_filled grind_3_total_cost += order.safe_filled * order.safe_price grind_3_buy_orders.append(order.id) if not grind_3_found: grind_3_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_3_found = True elif order.ft_order_side == "buy": if ( order is filled_exits[-1] and (order.safe_remaining * exit_rate / (trade.leverage if self.is_futures_mode else 1.0)) > min_stake ): partial_sell = True # break order_tag = "" if has_order_tags: if order.ft_order_tag is not None: sell_order_tag = order.ft_order_tag order_mode = sell_order_tag.split(" ", 1) if len(order_mode) > 0: order_tag = order_mode[0] if order_tag in ["derisk_level_1", "d"]: if not is_derisk_1_found: is_derisk_1_found = True is_derisk_1 = True derisk_1_order = order elif order_tag in ["derisk_level_2"]: if not is_derisk_2_found: is_derisk_2_found = True is_derisk_2 = True derisk_2_order = order elif order_tag in ["derisk_level_3"]: if not is_derisk_3_found: is_derisk_3_found = True is_derisk_3 = True derisk_3_order = order elif not buyback_1_is_exit_found and order_tag in ["buyback_1_exit", "buyback_1_derisk"]: buyback_1_is_exit_found = True buyback_1_exit_order = order elif not buyback_2_is_exit_found and order_tag in ["buyback_2_exit", "buyback_2_derisk"]: buyback_2_is_exit_found = True buyback_2_exit_order = order elif not buyback_3_is_exit_found and order_tag in ["buyback_3_exit", "buyback_3_derisk"]: buyback_3_is_exit_found = True buyback_3_exit_order = order elif not grind_1_is_exit_found and order_tag in ["grind_1_exit", "grind_1_derisk"]: grind_1_is_exit_found = True grind_1_exit_order = order elif not grind_2_is_exit_found and order_tag in ["grind_2_exit", "grind_2_derisk"]: grind_2_is_exit_found = True grind_2_exit_order = order elif not grind_3_is_exit_found and order_tag in ["grind_3_exit", "grind_3_derisk"]: grind_3_is_exit_found = True grind_3_exit_order = order elif order_tag in ["derisk_global"]: if not buyback_1_is_exit_found: buyback_1_is_exit_found = True buyback_1_exit_order = order if not buyback_2_is_exit_found: buyback_2_is_exit_found = True buyback_2_exit_order = order if not buyback_3_is_exit_found: buyback_3_is_exit_found = True buyback_3_exit_order = order if not grind_1_is_exit_found: grind_1_is_exit_found = True grind_1_exit_order = order if not grind_2_is_exit_found: grind_2_is_exit_found = True grind_2_exit_order = order if not grind_3_is_exit_found: grind_3_is_exit_found = True grind_3_exit_order = order if buyback_1_sub_grind_count > 0: buyback_1_current_open_rate = buyback_1_total_cost / buyback_1_total_amount buyback_1_current_grind_stake = buyback_1_total_amount * exit_rate * (1 - trade.fee_close) buyback_1_current_grind_stake_profit = buyback_1_current_grind_stake - buyback_1_total_cost if buyback_2_sub_grind_count > 0: buyback_2_current_open_rate = buyback_2_total_cost / buyback_2_total_amount buyback_2_current_grind_stake = buyback_2_total_amount * exit_rate * (1 - trade.fee_close) buyback_2_current_grind_stake_profit = buyback_2_current_grind_stake - buyback_2_total_cost if buyback_3_sub_grind_count > 0: buyback_3_current_open_rate = buyback_3_total_cost / buyback_3_total_amount buyback_3_current_grind_stake = buyback_3_total_amount * exit_rate * (1 - trade.fee_close) buyback_3_current_grind_stake_profit = buyback_3_current_grind_stake - buyback_3_total_cost if grind_1_sub_grind_count > 0: grind_1_current_open_rate = grind_1_total_cost / grind_1_total_amount grind_1_current_grind_stake = grind_1_total_amount * exit_rate * (1 - trade.fee_close) grind_1_current_grind_stake_profit = grind_1_current_grind_stake - grind_1_total_cost if grind_2_sub_grind_count > 0: grind_2_current_open_rate = grind_2_total_cost / grind_2_total_amount grind_2_current_grind_stake = grind_2_total_amount * exit_rate * (1 - trade.fee_close) grind_2_current_grind_stake_profit = grind_2_current_grind_stake - grind_2_total_cost if grind_3_sub_grind_count > 0: grind_3_current_open_rate = grind_3_total_cost / grind_3_total_amount grind_3_current_grind_stake = grind_3_total_amount * exit_rate * (1 - trade.fee_close) grind_3_current_grind_stake_profit = grind_3_current_grind_stake - grind_3_total_cost if grind_1_is_exit_found: grind_1_exit_distance_ratio = (exit_rate - grind_1_exit_order.safe_price) / grind_1_exit_order.safe_price if grind_2_is_exit_found: grind_2_exit_distance_ratio = (exit_rate - grind_2_exit_order.safe_price) / grind_2_exit_order.safe_price if grind_3_is_exit_found: grind_3_exit_distance_ratio = (exit_rate - grind_3_exit_order.safe_price) / grind_3_exit_order.safe_price if buyback_1_is_exit_found: buyback_1_exit_distance_ratio = (exit_rate - buyback_1_exit_order.safe_price) / buyback_1_exit_order.safe_price elif is_derisk_1_found: buyback_1_exit_distance_ratio = (exit_rate - derisk_1_order.safe_price) / derisk_1_order.safe_price if buyback_2_is_exit_found: buyback_2_exit_distance_ratio = (exit_rate - buyback_2_exit_order.safe_price) / buyback_2_exit_order.safe_price elif is_derisk_2_found: buyback_2_exit_distance_ratio = (exit_rate - derisk_2_order.safe_price) / derisk_2_order.safe_price if buyback_3_is_exit_found: buyback_3_exit_distance_ratio = (exit_rate - buyback_3_exit_order.safe_price) / buyback_3_exit_order.safe_price elif is_derisk_3_found: buyback_3_exit_distance_ratio = (exit_rate - derisk_3_order.safe_price) / derisk_3_order.safe_price # all buybacks & grinds current_open_grind_stake_profit = ( buyback_1_current_grind_stake_profit + buyback_2_current_grind_stake_profit + buyback_3_current_grind_stake_profit + grind_1_current_grind_stake_profit + grind_2_current_grind_stake_profit + grind_3_current_grind_stake_profit ) # De-risk level 1 if ( self.derisk_enable and self.grinding_v2_derisk_level_1_enable and (not is_derisk_1_found) and ( profit_stake < ( slice_amount * (self.grinding_v2_derisk_level_1_futures if self.is_futures_mode else self.grinding_v2_derisk_level_1_spot) ) ) ): sell_amount = ( ( filled_entries[0].safe_filled * ( self.grinding_v2_derisk_level_1_stake_futures if self.is_futures_mode else self.grinding_v2_derisk_level_1_stake_spot ) ) * exit_rate / trade.leverage ) if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"De-risk Level 1 [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"De-risk Level 1 [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) return -ft_sell_amount, "derisk_level_1" # De-risk level 2 if ( self.derisk_enable and self.grinding_v2_derisk_level_2_enable and (not is_derisk_2_found) and ( profit_stake < ( slice_amount * (self.grinding_v2_derisk_level_2_futures if self.is_futures_mode else self.grinding_v2_derisk_level_2_spot) ) ) ): sell_amount = ( ( filled_entries[0].safe_filled * ( self.grinding_v2_derisk_level_2_stake_futures if self.is_futures_mode else self.grinding_v2_derisk_level_2_stake_spot ) ) * exit_rate / trade.leverage ) if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"De-risk Level 2 [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"De-risk Level 2 [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) return -ft_sell_amount, "derisk_level_2" # De-risk level 3 if ( self.derisk_enable and self.grinding_v2_derisk_level_3_enable and (not is_derisk_3_found) and ( profit_stake < ( slice_amount * (self.grinding_v2_derisk_level_3_futures if self.is_futures_mode else self.grinding_v2_derisk_level_3_spot) ) ) ): sell_amount = ( ( filled_entries[0].safe_filled * ( self.grinding_v2_derisk_level_3_stake_futures if self.is_futures_mode else self.grinding_v2_derisk_level_3_stake_spot ) ) * exit_rate / trade.leverage ) if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"De-risk Level 3 [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"De-risk Level 3 [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) return -ft_sell_amount, "derisk_level_3" # De-risk global if ( self.grinding_v2_derisk_global_enable and is_derisk_1_found and ( current_open_grind_stake_profit < ( slice_amount * (self.grinding_v2_derisk_global_futures if self.is_futures_mode else self.grinding_v2_derisk_global_spot) ) ) ): sell_amount = trade.amount * exit_rate / trade.leverage - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"De-risk Global [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"De-risk Global [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) return -ft_sell_amount, "derisk_global" # Grinding 1 if ( (self.grinding_v2_grind_1_enable) and (is_derisk_1_found or is_derisk_2_found or is_derisk_3_found) and is_short_grind_entry and (current_time - timedelta(minutes=5) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (current_stake_amount < (filled_entries[0].cost * 0.50)) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) and (grind_1_sub_grind_count < grind_1_max_sub_grinds) and (grind_1_sub_grind_count == 0 or (-grind_1_distance_ratio < grind_1_sub_thresholds[grind_1_sub_grind_count])) ): if current_stake_amount < (filled_entries[0].cost * self.grinding_v2_max_stake): buy_amount = slice_amount * grind_1_stakes[grind_1_sub_grind_count] / trade.leverage if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None self.dp.send_msg( f"Grinding entry (grind_1_entry) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Grinding entry (grind_1_entry) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "grind_1_entry" if has_order_tags: return buy_amount, order_tag else: return buy_amount if grind_1_sub_grind_count > 0: grind_profit = -(exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate if (grind_profit > (grind_1_profit_threshold + fee_open_rate + fee_close_rate)) and self.short_grind_exit_v2( last_candle, previous_candle, slice_profit, True ): sell_amount = grind_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (grind_1_exit) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (grind_1_exit) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "grind_1_exit" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # if (grind_1_sub_grind_count > 0) and ((-(exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate) < grind_1_derisk_grinds): if ( self.grinding_v2_grind_1_use_derisk and (grind_1_sub_grind_count > 0) and (grind_1_current_grind_stake_profit < (slice_amount * grind_1_derisk_grinds)) ): sell_amount = grind_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_1_current_open_rate > 0.0: grind_profit = ( -((exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate) if grind_1_is_exit_found else profit_ratio ) self.dp.send_msg( f"Grinding de-risk (grind_1_derisk) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding de-risk (grind_1_derisk) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "grind_1_derisk" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 2 if ( (self.grinding_v2_grind_2_enable) and (is_derisk_1_found or is_derisk_2_found or is_derisk_3_found) and is_short_grind_entry and (current_time - timedelta(minutes=5) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (current_stake_amount < (filled_entries[0].cost * 0.50)) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) and (grind_2_sub_grind_count < grind_2_max_sub_grinds) and (grind_2_sub_grind_count == 0 or (-grind_2_distance_ratio < grind_2_sub_thresholds[grind_2_sub_grind_count])) ): if current_stake_amount < (filled_entries[0].cost * self.grinding_v2_max_stake): buy_amount = slice_amount * grind_2_stakes[grind_2_sub_grind_count] / trade.leverage if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None self.dp.send_msg( f"Grinding entry (grind_2_entry) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Grinding entry (grind_2_entry) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "grind_2_entry" if has_order_tags: return buy_amount, order_tag else: return buy_amount if grind_2_sub_grind_count > 0: grind_profit = -(exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate if (grind_profit > (grind_2_profit_threshold + fee_open_rate + fee_close_rate)) and self.short_grind_exit_v2( last_candle, previous_candle, slice_profit, True ): sell_amount = grind_2_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (grind_2_exit) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (grind_2_exit) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "grind_2_exit" for grind_entry_id in grind_2_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # if (grind_2_sub_grind_count > 0) and ((-(exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate) < grind_2_derisk_grinds): if ( self.grinding_v2_grind_2_use_derisk and (grind_2_sub_grind_count > 0) and (grind_2_current_grind_stake_profit < (slice_amount * grind_2_derisk_grinds)) ): sell_amount = grind_2_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_2_current_open_rate > 0.0: grind_profit = ( -((exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate) if grind_2_is_exit_found else profit_ratio ) self.dp.send_msg( f"Grinding de-risk (grind_2_derisk) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding de-risk (grind_2_derisk) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "grind_2_derisk" for grind_entry_id in grind_2_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 3 if ( (self.grinding_v2_grind_3_enable) and (is_derisk_1_found or is_derisk_2_found or is_derisk_3_found) and is_short_grind_entry and (current_time - timedelta(minutes=5) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (current_stake_amount < (filled_entries[0].cost * 0.50)) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) and (grind_3_sub_grind_count < grind_3_max_sub_grinds) and (grind_3_sub_grind_count == 0 or (-grind_3_distance_ratio < grind_3_sub_thresholds[grind_3_sub_grind_count])) ): if current_stake_amount < (filled_entries[0].cost * self.grinding_v2_max_stake): buy_amount = slice_amount * grind_3_stakes[grind_3_sub_grind_count] / trade.leverage if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None self.dp.send_msg( f"Grinding entry (grind_3_entry) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Grinding entry (grind_3_entry) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "grind_3_entry" if has_order_tags: return buy_amount, order_tag else: return buy_amount if grind_3_sub_grind_count > 0: grind_profit = -(exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate if (grind_profit > (grind_3_profit_threshold + fee_open_rate + fee_close_rate)) and self.short_grind_exit_v2( last_candle, previous_candle, slice_profit, True ): sell_amount = grind_3_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (grind_3_exit) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (grind_3_exit) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "grind_3_exit" for grind_entry_id in grind_3_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # if (grind_3_sub_grind_count > 0) and ((-(exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate) < grind_3_derisk_grinds): if ( self.grinding_v2_grind_3_use_derisk and (grind_3_sub_grind_count > 0) and (grind_3_current_grind_stake_profit < (slice_amount * grind_3_derisk_grinds)) ): sell_amount = grind_3_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_3_current_open_rate > 0.0: grind_profit = ( -((exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate) if grind_3_is_exit_found else profit_ratio ) self.dp.send_msg( f"Grinding de-risk (grind_3_derisk) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding de-risk (grind_3_derisk) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "grind_3_derisk" for grind_entry_id in grind_3_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Buyback 1 if ( self.grinding_v2_buyback_1_enable and is_derisk_1_found and is_short_buyback_entry and (current_time - timedelta(minutes=5) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (current_stake_amount < (filled_entries[0].cost * 0.50)) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) and (buyback_1_current_open_rate == 0) and ( -buyback_1_exit_distance_ratio < ( self.grinding_v2_buyback_1_distance_ratio_futures if self.is_futures_mode else self.grinding_v2_buyback_1_distance_ratio_spot ) ) ): if current_stake_amount < (filled_entries[0].cost * self.grinding_v2_max_stake): buy_amount = ( slice_amount * ( self.grinding_v2_buyback_1_stake_futures if self.is_futures_mode else self.grinding_v2_buyback_1_stake_spot ) / trade.leverage ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None self.dp.send_msg( f"Buyback entry (buyback_1_entry) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Buyback entry (buyback_1_entry) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "buyback_1_entry" if has_order_tags: return buy_amount, order_tag else: return buy_amount # if buyback_1_sub_grind_count > 0: # grind_profit = -(exit_rate - buyback_1_current_open_rate) / buyback_1_current_open_rate # if ( # grind_profit # > ( # ( # self.grinding_v2_buyback_1_profit_threshold_futures # if self.is_futures_mode # else self.grinding_v2_buyback_1_profit_threshold_spot # ) # + fee_open_rate # + fee_close_rate # ) # ) and self.short_grind_exit_v2(last_candle, previous_candle, slice_profit, True): # sell_amount = buyback_1_total_amount * exit_rate / trade.leverage # if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): # sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) # ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate # if sell_amount > min_stake and ft_sell_amount > min_stake: # self.dp.send_msg( # f"Buyback exit (buyback_1_exit) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" # ) # log.info( # f"Buyback exit (buyback_1_exit) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" # ) # order_tag = "buyback_1_exit" # for grind_entry_id in buyback_1_buy_orders: # order_tag += " " + str(grind_entry_id) # if has_order_tags: # return -ft_sell_amount, order_tag # else: # return -ft_sell_amount # if (buyback_1_sub_grind_count > 0) and ((-(exit_rate - buyback_1_current_open_rate) / buyback_1_current_open_rate) < (self.grinding_v2_buyback_1_derisk_futures if self.is_futures_mode else self.grinding_v2_buyback_1_derisk_spot)): if ( self.grinding_v2_buyback_1_use_derisk and (buyback_1_sub_grind_count > 0) and ( buyback_1_current_grind_stake_profit < ( slice_amount * ( self.grinding_v2_buyback_1_derisk_futures if self.is_futures_mode else self.grinding_v2_buyback_1_derisk_spot ) ) ) ): sell_amount = buyback_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if buyback_1_current_open_rate > 0.0: grind_profit = ( -((exit_rate - buyback_1_current_open_rate) / buyback_1_current_open_rate) if buyback_1_is_exit_found else profit_ratio ) self.dp.send_msg( f"Buyback de-risk (buyback_1_derisk) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Buyback de-risk (buyback_1_derisk) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "buyback_1_derisk" for grind_entry_id in buyback_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # # Buyback 2 if ( self.grinding_v2_buyback_2_enable and is_derisk_2_found and is_short_buyback_entry and (current_time - timedelta(minutes=5) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (current_stake_amount < (filled_entries[0].cost * 0.50)) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) and (buyback_2_current_open_rate == 0) and ( -buyback_2_exit_distance_ratio < ( self.grinding_v2_buyback_2_distance_ratio_futures if self.is_futures_mode else self.grinding_v2_buyback_2_distance_ratio_spot ) ) ): if current_stake_amount < (filled_entries[0].cost * self.grinding_v2_max_stake): buy_amount = ( slice_amount * ( self.grinding_v2_buyback_2_stake_futures if self.is_futures_mode else self.grinding_v2_buyback_2_stake_spot ) / trade.leverage ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None self.dp.send_msg( f"Buyback entry (buyback_2_entry) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Buyback entry (buyback_2_entry) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "buyback_2_entry" if has_order_tags: return buy_amount, order_tag else: return buy_amount # if buyback_2_sub_grind_count > 0: # grind_profit = -(exit_rate - buyback_2_current_open_rate) / buyback_2_current_open_rate # if ( # grind_profit # > ( # ( # self.grinding_v2_buyback_2_profit_threshold_futures # if self.is_futures_mode # else self.grinding_v2_buyback_2_profit_threshold_spot # ) # + fee_open_rate # + fee_close_rate # ) # ) and self.short_grind_exit_v2(last_candle, previous_candle, slice_profit, True): # sell_amount = buyback_2_total_amount * exit_rate / trade.leverage # if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): # sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) # ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate # if sell_amount > min_stake and ft_sell_amount > min_stake: # self.dp.send_msg( # f"Buyback exit (buyback_2_exit) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" # ) # log.info( # f"Buyback exit (buyback_2_exit) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" # ) # order_tag = "buyback_2_exit" # for grind_entry_id in buyback_2_buy_orders: # order_tag += " " + str(grind_entry_id) # if has_order_tags: # return -ft_sell_amount, order_tag # else: # return -ft_sell_amount # if (buyback_2_sub_grind_count > 0) and ((-(exit_rate - buyback_2_current_open_rate) / buyback_2_current_open_rate) < (self.grinding_v2_buyback_2_derisk_futures if self.is_futures_mode else self.grinding_v2_buyback_2_derisk_spot)): if ( self.grinding_v2_buyback_2_use_derisk and (buyback_2_sub_grind_count > 0) and ( buyback_2_current_grind_stake_profit < ( slice_amount * ( self.grinding_v2_buyback_2_derisk_futures if self.is_futures_mode else self.grinding_v2_buyback_2_derisk_spot ) ) ) ): sell_amount = buyback_2_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if buyback_2_current_open_rate > 0.0: grind_profit = ( -((exit_rate - buyback_2_current_open_rate) / buyback_2_current_open_rate) if buyback_2_is_exit_found else profit_ratio ) self.dp.send_msg( f"Buyback de-risk (buyback_2_derisk) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Buyback de-risk (buyback_2_derisk) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "buyback_2_derisk" for grind_entry_id in buyback_2_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # # Buyback 3 if ( self.grinding_v2_buyback_3_enable and is_derisk_3_found and is_short_buyback_entry and (current_time - timedelta(minutes=5) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (current_stake_amount < (filled_entries[0].cost * 0.50)) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) and (buyback_3_current_open_rate == 0) and ( -buyback_3_exit_distance_ratio < ( self.grinding_v2_buyback_3_distance_ratio_futures if self.is_futures_mode else self.grinding_v2_buyback_3_distance_ratio_spot ) ) ): if current_stake_amount < (filled_entries[0].cost * self.grinding_v2_max_stake): buy_amount = ( slice_amount * ( self.grinding_v2_buyback_3_stake_futures if self.is_futures_mode else self.grinding_v2_buyback_3_stake_spot ) / trade.leverage ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None self.dp.send_msg( f"Buyback entry (buyback_3_entry) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Buyback entry (buyback_3_entry) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "buyback_3_entry" if has_order_tags: return buy_amount, order_tag else: return buy_amount # if buyback_3_sub_grind_count > 0: # grind_profit = -(exit_rate - buyback_3_current_open_rate) / buyback_3_current_open_rate # if ( # grind_profit # > ( # ( # self.grinding_v2_buyback_3_profit_threshold_futures # if self.is_futures_mode # else self.grinding_v2_buyback_3_profit_threshold_spot # ) # + fee_open_rate # + fee_close_rate # ) # ) and self.short_grind_exit_v2(last_candle, previous_candle, slice_profit, True): # sell_amount = buyback_3_total_amount * exit_rate / trade.leverage # if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): # sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) # ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate # if sell_amount > min_stake and ft_sell_amount > min_stake: # self.dp.send_msg( # f"Buyback exit (buyback_3_exit) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" # ) # log.info( # f"Buyback exit (buyback_3_exit) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" # ) # order_tag = "buyback_3_exit" # for grind_entry_id in buyback_3_buy_orders: # order_tag += " " + str(grind_entry_id) # if has_order_tags: # return -ft_sell_amount, order_tag # else: # return -ft_sell_amount # if (buyback_3_sub_grind_count > 0) and ((-(exit_rate - buyback_3_current_open_rate) / buyback_3_current_open_rate) < (self.grinding_v2_buyback_3_derisk_futures if self.is_futures_mode else self.grinding_v2_buyback_3_derisk_spot)): if ( self.grinding_v2_buyback_3_use_derisk and (buyback_3_sub_grind_count > 0) and ( buyback_3_current_grind_stake_profit < ( slice_amount * ( self.grinding_v2_buyback_3_derisk_futures if self.is_futures_mode else self.grinding_v2_buyback_3_derisk_spot ) ) ) ): sell_amount = buyback_3_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if buyback_3_current_open_rate > 0.0: grind_profit = ( -((exit_rate - buyback_3_current_open_rate) / buyback_3_current_open_rate) if buyback_3_is_exit_found else profit_ratio ) self.dp.send_msg( f"Buyback de-risk (buyback_3_derisk) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Buyback de-risk (buyback_3_derisk) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {buyback_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "buyback_3_derisk" for grind_entry_id in buyback_3_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount return None def short_buyback_entry_v2( self, last_candle: Series, previous_candle: Series, slice_profit: float, is_derisk: bool ) -> float: if ( (last_candle["enter_short"] == True) or ( (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3"] < 80.0) and (last_candle["RSI_3_15m"] < 70.0) and (last_candle["RSI_3_1h"] < 70.0) and (last_candle["RSI_3_4h"] < 70.0) and (last_candle["AROOND_14"] < 25.0) and (last_candle["ROC_2_1h"] < 5.0) and (last_candle["ROC_2_4h"] < 5.0) # and (last_candle["ROC_9_4h"] > -20.0) # and (last_candle["ROC_9_4h"] < 40.0) # and (last_candle["ROC_9_1d"] > -20.0) # and (last_candle["ROC_9_1d"] < 50.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 80.0) and (last_candle["STOCHRSIk_14_14_3_3_15m"] > 80.0) # and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) # and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and (last_candle["close"] < (last_candle["close_min_48"] * 1.10)) and (last_candle["close"] < (last_candle["low_min_6_1h"] * 1.18)) and (last_candle["close"] < (last_candle["low_min_12_1h"] * 1.25)) # and (last_candle["close"] < (last_candle["low_min_24_4h"] * 1.20)) and (last_candle["close"] > (last_candle["EMA_16"] * 1.120)) ) or ( (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3"] < 95.0) and (last_candle["RSI_3_15m"] < 85.0) and (last_candle["RSI_3_1h"] < 85.0) and (last_candle["RSI_3_4h"] < 85.0) and (last_candle["ROC_2_1h"] < 5.0) and (last_candle["ROC_2_4h"] < 5.0) # and (last_candle["ROC_2_1d"] > -10.0) # and (last_candle["ROC_9_1h"] > -10.0) # and (last_candle["ROC_9_4h"] > -10.0) and (last_candle["ROC_9_1d"] < 5.0) and (last_candle["EMA_12"] > last_candle["EMA_26"]) and ((last_candle["EMA_12"] - last_candle["EMA_26"]) > (last_candle["open"] * 0.020)) and ((previous_candle["EMA_12"] - previous_candle["EMA_26"]) > (last_candle["open"] / 100.0)) ) or ( (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3"] < 90.0) and (last_candle["RSI_3_15m"] < 90.0) and (last_candle["RSI_3_1h"] < 90.0) and (last_candle["RSI_3_4h"] < 90.0) and (last_candle["RSI_3_1d"] < 90.0) and (last_candle["ROC_2_1h"] < 5.0) and (last_candle["ROC_2_4h"] < 5.0) and (last_candle["ROC_2_1d"] < 5.0) and (last_candle["ROC_9_1h"] < 5.0) and (last_candle["ROC_9_4h"] < 5.0) and (last_candle["ROC_9_1d"] < 10.0) # and (last_candle["ROC_9_4h"] < 40.0) # and (last_candle["ROC_9_1d"] < 50.0) and (last_candle["AROOND_14_15m"] < 25.0) and (last_candle["close"] < (last_candle["close_min_48"] * 1.10)) and (last_candle["close"] < (last_candle["low_min_6_1h"] * 1.18)) and (last_candle["close"] < (last_candle["low_min_12_1h"] * 1.25)) # and (last_candle["close"] < (last_candle["low_min_24_4h"] * 1.20)) and (last_candle["close"] > (last_candle["EMA_12"] * 1.020)) ) or ( (last_candle["RSI_14"] < 64.0) and (last_candle["RSI_3_15m"] < 90.0) and (last_candle["RSI_3_1h"] < 90.0) and (last_candle["RSI_3_4h"] < 90.0) and (last_candle["RSI_3_1d"] < 90.0) and (last_candle["ROC_2_1h"] < 5.0) and (last_candle["ROC_2_4h"] < 5.0) # and (last_candle["ROC_2_1d"] > -5.0) and (last_candle["ROC_9_1h"] < 5.0) and (last_candle["ROC_9_4h"] < 5.0) and (last_candle["ROC_9_1d"] < 5.0) # and (last_candle["close"] > (last_candle["close_max_48"] * 0.90)) # and (last_candle["close"] > (last_candle["high_max_6_1h"] * 0.85)) # and (last_candle["close"] > (last_candle["high_max_12_1h"] * 0.80)) and (last_candle["close"] > (last_candle["EMA_26"] * 1.040)) and (last_candle["close"] > (last_candle["BBU_20_2.0"] * 1.001)) ) ): return True return False def short_grind_entry_v2( self, last_candle: Series, previous_candle: Series, slice_profit: float, is_derisk: bool ) -> float: if ( (last_candle["enter_short"] == True) or ( (last_candle["RSI_14"] > 54.0) and (last_candle["RSI_3"] < 90.0) and (last_candle["RSI_3_15m"] < 85.0) and (last_candle["RSI_3_1h"] < 85.0) and (last_candle["RSI_3_4h"] < 85.0) and (last_candle["ROC_2_1h"] < 10.0) and (last_candle["ROC_2_4h"] < 10.0) and (last_candle["ROC_2_1d"] < 10.0) and (last_candle["ROC_9_1h"] < 20.0) and (last_candle["ROC_9_4h"] < 20.0) and (last_candle["ROC_9_1d"] < 25.0) # and (last_candle["ROC_9_1d"] < 40.0) and (last_candle["AROOND_14"] < 25.0) # and (last_candle["STOCHRSIk_14_14_3_3"] < 20.0) # and (last_candle["STOCHRSIk_14_14_3_3_15m"] < 20.0) # and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 30.0) # and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 30.0) and (last_candle["close"] < (last_candle["close_min_48"] * 1.10)) and (last_candle["close"] > (last_candle["low_min_6_1h"] * 1.18)) and (last_candle["close"] > (last_candle["low_min_12_1h"] * 1.25)) and (last_candle["close"] < (last_candle["high_max_24_4h"] * 0.85)) and (last_candle["close"] > (last_candle["EMA_16"] * 1.018)) ) or ( (last_candle["RSI_14"] < 64.0) and (last_candle["RSI_3"] < 95.0) and (last_candle["RSI_3_15m"] < 85.0) and (last_candle["RSI_3_1h"] < 85.0) and (last_candle["RSI_3_4h"] < 85.0) # and (last_candle["RSI_3_1d"] > 15.0) and (last_candle["ROC_2_1h"] < 10.0) and (last_candle["ROC_2_4h"] < 10.0) # and (last_candle["ROC_2_1d"] > -10.0) and (last_candle["ROC_9_1h"] < 10.0) and (last_candle["ROC_9_4h"] < 10.0) and (last_candle["ROC_9_1d"] < 30.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 50.0) and (last_candle["EMA_12"] > last_candle["EMA_26"]) and ((last_candle["EMA_12"] - last_candle["EMA_26"]) > (last_candle["open"] * 0.020)) and ((previous_candle["EMA_12"] - previous_candle["EMA_26"]) > (last_candle["open"] / 100.0)) ) or ( (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3"] < 90.0) and (last_candle["RSI_3_15m"] < 90.0) and (last_candle["RSI_3_1h"] < 90.0) and (last_candle["RSI_3_4h"] < 90.0) and (last_candle["RSI_3_1d"] < 90.0) and (last_candle["ROC_2_1h"] < 5.0) and (last_candle["ROC_2_4h"] < 5.0) and (last_candle["ROC_2_1d"] < 5.0) and (last_candle["ROC_9_1h"] < 10.0) and (last_candle["ROC_9_4h"] < 10.0) and (last_candle["ROC_9_1d"] < 10.0) # and (last_candle["ROC_9_4h"] < 40.0) # and (last_candle["ROC_9_1d"] < 50.0) and (last_candle["AROOND_14_15m"] < 25.0) and (last_candle["close"] < (last_candle["close_min_48"] * 1.10)) and (last_candle["close"] < (last_candle["low_min_6_1h"] * 1.18)) and (last_candle["close"] < (last_candle["low_min_12_1h"] * 1.25)) # and (last_candle["close"] < (last_candle["low_min_24_4h"] * 1.20)) and (last_candle["close"] > (last_candle["EMA_12"] * 1.020)) ) or ( (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3"] < 90.0) and (last_candle["RSI_3_15m"] < 90.0) and (last_candle["RSI_3_1h"] < 90.0) and (last_candle["RSI_3_4h"] < 90.0) and (last_candle["RSI_3_1d"] < 90.0) and (last_candle["ROC_2_1h"] < 10.0) and (last_candle["ROC_2_4h"] < 10.0) and (last_candle["ROC_2_1d"] < 10.0) # and (last_candle["ROC_9_1h"] > -10.0) # and (last_candle["ROC_9_4h"] > -10.0) # and (last_candle["ROC_9_1d"] > -10.0) and (last_candle["AROOND_14"] < 25.0) and (last_candle["close"] < (last_candle["close_min_48"] * 1.10)) and (last_candle["close"] > (last_candle["low_min_6_1h"] * 0.85)) and (last_candle["close"] > (last_candle["high_max_12_1h"] * 0.80)) and (last_candle["close"] < (last_candle["EMA_26"] * 0.962)) and (last_candle["close"] < (last_candle["BBL_20_2.0"] * 0.999)) ) or ( (last_candle["RSI_14"] > 65.0) and (last_candle["RSI_3"] < 90.0) and (last_candle["RSI_3_15m"] < 90.0) and (last_candle["RSI_3_1h"] < 90.0) and (last_candle["RSI_3_4h"] < 90.0) # and (last_candle["RSI_3_1d"] > 10.0) and (last_candle["ROC_2_1h"] < 10.0) and (last_candle["ROC_2_4h"] < 10.0) and (last_candle["ROC_2_1d"] < 10.0) and (last_candle["ROC_9_1h"] < 10.0) and (last_candle["ROC_9_4h"] < 10.0) # and (last_candle["ROC_9_1d"] > -10.0) and (last_candle["AROOND_14"] < 25.0) # and (last_candle["AROONU_14_15m"] < 25.0) # and (last_candle["STOCHRSIk_14_14_3_3"] < 20.0) # and (last_candle["STOCHRSIk_14_14_3_3_15m"] < 20.0) # and (last_candle["close"] > (last_candle["close_max_48"] * 0.90)) # and (last_candle["close"] > (last_candle["high_max_6_1h"] * 0.85)) # and (last_candle["close"] > (last_candle["high_max_12_1h"] * 0.80)) and (last_candle["close"] > (last_candle["high_max_12_4h"] * 0.80)) and (last_candle["close"] > (last_candle["EMA_9"] * 1.032)) and (last_candle["close"] > (last_candle["EMA_20"] * 1.020)) ) or ( (last_candle["RSI_14"] < 65.0) and (last_candle["RSI_3"] < 90.0) and (last_candle["RSI_3"] > 60.0) # and (last_candle["RSI_4"] < 40.0) and (last_candle["RSI_3_15m"] < 85.0) # and (last_candle["RSI_3_1h"] > 20.0) # and (last_candle["RSI_3_4h"] > 20.0) # and (last_candle["RSI_3_1d"] > 20.0) and (last_candle["ROC_2_1h"] < 5.0) and (last_candle["ROC_2_4h"] < 5.0) # and (last_candle["ROC_2_1d"] > -5.0) and (last_candle["ROC_9_1h"] < 10.0) and (last_candle["ROC_9_4h"] < 10.0) # and (last_candle["ROC_9_1d"] > -10.0) and (last_candle["AROOND_14"] < 25.0) # and (last_candle["AROONU_14_15m"] < 25.0) # and (last_candle["STOCHRSIk_14_14_3_3"] < 20.0) # and (last_candle["STOCHRSIk_14_14_3_3_15m"] < 20.0) # and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 50.0) # and (last_candle["STOCHRSIk_14_14_3_3_4h"] < 50.0) # and (last_candle["close"] > (last_candle["close_max_48"] * 0.90)) # and (last_candle["close"] > (last_candle["high_max_6_1h"] * 0.85)) # and (last_candle["close"] > (last_candle["high_max_12_1h"] * 0.80)) and (last_candle["RSI_20"] > previous_candle["RSI_20"]) and (last_candle["close"] > (last_candle["SMA_16"] * 1.045)) # and (last_candle["close"] < (last_candle["EMA_20"] * 0.980)) ) or ( (last_candle["RSI_3"] < 95.0) and (last_candle["RSI_3_15m"] < 90.0) and (last_candle["RSI_3_1h"] < 90.0) and (last_candle["RSI_3_4h"] < 90.0) and (last_candle["ROC_2_1h"] < 5.0) and (last_candle["ROC_2_4h"] < 5.0) and (last_candle["ROC_9_1h"] < 5.0) and (last_candle["ROC_9_4h"] < 5.0) and (last_candle["WILLR_14"] > -50.0) # and (last_candle["AROONU_14"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 80.0) and (last_candle["WILLR_84_1h"] > -30.0) # and (last_candle["STOCHRSIk_14_14_3_3_1h"] < 40.0) and (last_candle["close"] < (last_candle["high_max_24_4h"] * 0.77)) and (last_candle["BBB_20_2.0_1h"] > 12.0) and (last_candle["close_max_48"] <= (last_candle["close"] * 0.90)) ) or ( (last_candle["RSI_3"] > 70.0) and (last_candle["RSI_3"] < 95.0) and (last_candle["RSI_3_15m"] < 95.0) and (last_candle["RSI_3_1h"] < 90.0) and (last_candle["RSI_3_4h"] < 90.0) # and (last_candle["ROC_2_1h"] > -5.0) # and (last_candle["ROC_2_4h"] > -5.0) # and (last_candle["ROC_9_1h"] > -5.0) # and (last_candle["ROC_9_4h"] > -5.0) and (last_candle["ROC_9_1d"] < 30.0) # and (last_candle["STOCHRSIk_14_14_3_3"] < 20.0) # and (last_candle["close"] < (last_candle["low_min_24_4h"] * 1.50)) and (last_candle["EMA_12"] > last_candle["EMA_26"]) and ((last_candle["EMA_12"] - last_candle["EMA_26"]) > (last_candle["open"] * 0.034)) and ((previous_candle["EMA_12"] - previous_candle["EMA_26"]) > (last_candle["open"] / 100.0)) ) or ( (last_candle["RSI_3"] < 95.0) and (last_candle["RSI_3_15m"] < 75.0) and (last_candle["RSI_3_1h"] < 70.0) and (last_candle["close"] > (last_candle["low_min_24_4h"] * 0.90)) and (last_candle["close"] < (last_candle["close_min_48"] * 1.10)) and (last_candle["close"] < (last_candle["close_max_12"] * 0.92)) ) or ( (last_candle["RSI_3"] < 95.0) and (last_candle["RSI_3_15m"] < 95.0) and (last_candle["STOCHRSIk_14_14_3_3"] > 80.0) and (last_candle["RSI_14"] > (last_candle["RSI_14_1h"] + 45.0)) ) ): return True return False def short_buyback_exit_v2( self, last_candle: Series, previous_candle: Series, slice_profit: float, is_derisk: bool ) -> float: if ( (last_candle["RSI_3"] < 1.0) or (last_candle["RSI_14"] < 30.0) or (last_candle["WILLR_14"] < -99.9) or (last_candle["STOCHRSIk_14_14_3_3"] > 5.0) or (last_candle["close"] < (last_candle["BBL_20_2.0"] * 0.99)) or ((last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 50.0)) ): return True return False def short_grind_exit_v2( self, last_candle: Series, previous_candle: Series, slice_profit: float, is_derisk: bool ) -> float: if ( (last_candle["RSI_3"] < 1.0) or (last_candle["RSI_14"] < 30.0) or (last_candle["WILLR_14"] < -99.9) or (last_candle["STOCHRSIk_14_14_3_3"] < 5.0) or (last_candle["close"] < (last_candle["BBL_20_2.0"] * 0.99)) or ((last_candle["RSI_3"] < 10.0) and (last_candle["RSI_14"] > 50.0)) ): return True return False # Short Grinding Adjust Trade Position # --------------------------------------------------------------------------------------------- def short_grind_adjust_trade_position( self, trade: Trade, enter_tags, current_time: datetime, current_rate: float, current_profit: float, min_stake: Optional[float], max_stake: float, current_entry_rate: float, current_exit_rate: float, current_entry_profit: float, current_exit_profit: float, **kwargs, ): is_backtest = self.dp.runmode.value in ["backtest", "hyperopt"] min_stake = self.correct_min_stake(min_stake) # min/max stakes include leverage. The return amounts is before leverage. min_stake /= trade.leverage max_stake /= trade.leverage df, _ = self.dp.get_analyzed_dataframe(trade.pair, self.timeframe) if len(df) < 2: return None last_candle = df.iloc[-1].squeeze() previous_candle = df.iloc[-2].squeeze() # we already waiting for an order to get filled if trade.has_open_orders: return None filled_orders = trade.select_filled_orders() filled_entries = trade.select_filled_orders(trade.entry_side) filled_exits = trade.select_filled_orders(trade.exit_side) count_of_entries = trade.nr_of_successful_entries count_of_exits = trade.nr_of_successful_exits if count_of_entries == 0: return None if len(filled_orders) < 1: return None has_order_tags = False if hasattr(filled_orders[0], "ft_order_tag"): has_order_tags = True exit_rate = current_rate if self.dp.runmode.value in ("live", "dry_run"): ticker = self.dp.ticker(trade.pair) if ("bid" in ticker) and ("ask" in ticker): if trade.is_short: if self.config["exit_pricing"]["price_side"] in ["ask", "other"]: if ticker["ask"] is not None: exit_rate = ticker["ask"] else: if self.config["exit_pricing"]["price_side"] in ["bid", "other"]: if ticker["bid"] is not None: exit_rate = ticker["bid"] profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio = self.calc_total_profit( trade, filled_entries, filled_exits, exit_rate ) slice_amount = filled_entries[0].cost slice_profit = (exit_rate - filled_orders[-1].safe_price) / filled_orders[-1].safe_price slice_profit_entry = (exit_rate - filled_entries[-1].safe_price) / filled_entries[-1].safe_price slice_profit_exit = ( ((exit_rate - filled_exits[-1].safe_price) / filled_exits[-1].safe_price) if count_of_exits > 0 else 0.0 ) current_stake_amount = trade.amount * current_rate is_derisk = trade.amount < (filled_entries[0].safe_filled * 0.95) is_derisk_calc = False is_rebuy_mode = all(c in self.short_rebuy_mode_tags for c in enter_tags) or ( any(c in self.short_rebuy_mode_tags for c in enter_tags) and all(c in (self.short_rebuy_mode_tags + self.short_grind_mode_tags) for c in enter_tags) ) is_grind_mode = all(c in self.short_grind_mode_tags for c in enter_tags) fee_open_rate = trade.fee_open if self.custom_fee_open_rate is None else self.custom_fee_open_rate fee_close_rate = trade.fee_close if self.custom_fee_close_rate is None else self.custom_fee_close_rate # Rebuy mode if is_rebuy_mode: slice_amount /= self.rebuy_mode_stake_multiplier # Grind mode elif is_grind_mode: slice_amount /= ( self.grind_mode_stake_multiplier_futures[0] if self.is_futures_mode else self.grind_mode_stake_multiplier_spot[0] ) elif not is_derisk and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 2, 5) or is_backtest): rebuy_stake, order_tag, is_derisk_calc = self.short_adjust_trade_position_no_derisk( trade, enter_tags, current_time, current_rate, current_profit, min_stake, max_stake, current_entry_rate, current_exit_rate, current_entry_profit, current_exit_profit, last_candle, previous_candle, filled_orders, filled_entries, filled_exits, exit_rate, slice_amount, slice_profit_entry, slice_profit, profit_ratio, profit_stake, profit_init_ratio, current_stake_amount, has_order_tags, ) if rebuy_stake is not None: if has_order_tags: return rebuy_stake, order_tag else: return rebuy_stake elif count_of_exits == 0: return None elif not is_derisk_calc: return None if not is_rebuy_mode and not is_grind_mode: # First entry is lower now, therefore the grinds must adjust if trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest: slice_amount /= ( self.regular_mode_stake_multiplier_futures[0] if self.is_futures_mode else self.regular_mode_stake_multiplier_spot[0] ) is_not_trade_max_stake = current_stake_amount < ( (filled_entries[0].cost * self.grinding_v1_max_stake) / ( ( self.grind_mode_stake_multiplier_futures[0] if self.is_futures_mode else self.grind_mode_stake_multiplier_spot[0] ) if is_grind_mode else 1.0 ) ) grind_1_max_sub_grinds = 0 grind_1_stakes = self.grind_1_stakes_futures.copy() if self.is_futures_mode else self.grind_1_stakes_spot.copy() grind_1_sub_thresholds = ( self.grind_1_sub_thresholds_futures if self.is_futures_mode else self.grind_1_sub_thresholds_spot ) if (slice_amount * grind_1_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_1_stakes[0] * trade.leverage for i, _ in enumerate(grind_1_stakes): grind_1_stakes[i] *= multi grind_1_max_sub_grinds = len(grind_1_stakes) grind_1_stop_grinds = self.grind_1_stop_grinds_futures if self.is_futures_mode else self.grind_1_stop_grinds_spot grind_1_profit_threshold = ( self.grind_1_profit_threshold_futures if self.is_futures_mode else self.grind_1_profit_threshold_spot ) grind_2_max_sub_grinds = 0 grind_2_stakes = self.grind_2_stakes_futures.copy() if self.is_futures_mode else self.grind_2_stakes_spot.copy() grind_2_sub_thresholds = ( self.grind_2_sub_thresholds_futures if self.is_futures_mode else self.grind_2_sub_thresholds_spot ) if (slice_amount * grind_2_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_2_stakes[0] * trade.leverage for i, _ in enumerate(grind_2_stakes): grind_2_stakes[i] *= multi grind_2_max_sub_grinds = len(grind_2_stakes) grind_2_stop_grinds = self.grind_2_stop_grinds_futures if self.is_futures_mode else self.grind_2_stop_grinds_spot grind_2_profit_threshold = ( self.grind_2_profit_threshold_futures if self.is_futures_mode else self.grind_2_profit_threshold_spot ) grind_3_max_sub_grinds = 0 grind_3_stakes = self.grind_3_stakes_futures.copy() if self.is_futures_mode else self.grind_3_stakes_spot.copy() grind_3_sub_thresholds = ( self.grind_3_sub_thresholds_futures if self.is_futures_mode else self.grind_3_sub_thresholds_spot ) if (slice_amount * grind_3_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_3_stakes[0] * trade.leverage for i, _ in enumerate(grind_3_stakes): grind_3_stakes[i] *= multi grind_3_max_sub_grinds = len(grind_3_stakes) grind_3_stop_grinds = self.grind_3_stop_grinds_futures if self.is_futures_mode else self.grind_3_stop_grinds_spot grind_3_profit_threshold = ( self.grind_3_profit_threshold_futures if self.is_futures_mode else self.grind_3_profit_threshold_spot ) grind_4_max_sub_grinds = 0 grind_4_stakes = self.grind_4_stakes_futures.copy() if self.is_futures_mode else self.grind_4_stakes_spot.copy() grind_4_sub_thresholds = ( self.grind_4_sub_thresholds_futures if self.is_futures_mode else self.grind_4_sub_thresholds_spot ) if (slice_amount * grind_4_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_4_stakes[0] * trade.leverage for i, _ in enumerate(grind_4_stakes): grind_4_stakes[i] *= multi grind_4_max_sub_grinds = len(grind_4_stakes) grind_4_stop_grinds = self.grind_4_stop_grinds_futures if self.is_futures_mode else self.grind_4_stop_grinds_spot grind_4_profit_threshold = ( self.grind_4_profit_threshold_futures if self.is_futures_mode else self.grind_4_profit_threshold_spot ) grind_5_max_sub_grinds = 0 grind_5_stakes = self.grind_5_stakes_futures.copy() if self.is_futures_mode else self.grind_5_stakes_spot.copy() grind_5_sub_thresholds = ( self.grind_5_sub_thresholds_futures if self.is_futures_mode else self.grind_5_sub_thresholds_spot ) if (slice_amount * grind_5_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_5_stakes[0] * trade.leverage for i, _ in enumerate(grind_5_stakes): grind_5_stakes[i] *= multi grind_5_max_sub_grinds = len(grind_5_stakes) grind_5_stop_grinds = self.grind_5_stop_grinds_futures if self.is_futures_mode else self.grind_5_stop_grinds_spot grind_5_profit_threshold = ( self.grind_5_profit_threshold_futures if self.is_futures_mode else self.grind_5_profit_threshold_spot ) grind_6_max_sub_grinds = 0 grind_6_stakes = self.grind_6_stakes_futures.copy() if self.is_futures_mode else self.grind_6_stakes_spot.copy() grind_6_sub_thresholds = ( self.grind_6_sub_thresholds_futures if self.is_futures_mode else self.grind_6_sub_thresholds_spot ) if (slice_amount * grind_6_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_6_stakes[0] * trade.leverage for i, _ in enumerate(grind_6_stakes): grind_6_stakes[i] *= multi grind_6_max_sub_grinds = len(grind_6_stakes) grind_6_stop_grinds = self.grind_6_stop_grinds_futures if self.is_futures_mode else self.grind_6_stop_grinds_spot grind_6_profit_threshold = ( self.grind_6_profit_threshold_futures if self.is_futures_mode else self.grind_6_profit_threshold_spot ) grind_1_derisk_1_max_sub_grinds = 0 grind_1_derisk_1_stakes = ( self.grind_1_derisk_1_stakes_futures.copy() if self.is_futures_mode else self.grind_1_derisk_1_stakes_spot.copy() ) grind_1_derisk_1_sub_thresholds = ( self.grind_1_derisk_1_sub_thresholds_futures if self.is_futures_mode else self.grind_1_derisk_1_sub_thresholds_spot ) if (slice_amount * grind_1_derisk_1_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_1_derisk_1_stakes[0] * trade.leverage for i, _ in enumerate(grind_1_derisk_1_stakes): grind_1_derisk_1_stakes[i] *= multi grind_1_derisk_1_max_sub_grinds = len(grind_1_derisk_1_stakes) grind_1_derisk_1_stop_grinds = ( self.grind_1_derisk_1_stop_grinds_futures if self.is_futures_mode else self.grind_1_derisk_1_stop_grinds_spot ) grind_1_derisk_1_profit_threshold = ( self.grind_1_derisk_1_profit_threshold_futures if self.is_futures_mode else self.grind_1_derisk_1_profit_threshold_spot ) grind_2_derisk_1_max_sub_grinds = 0 grind_2_derisk_1_stakes = ( self.grind_2_derisk_1_stakes_futures.copy() if self.is_futures_mode else self.grind_2_derisk_1_stakes_spot.copy() ) grind_2_derisk_1_sub_thresholds = ( self.grind_2_derisk_1_sub_thresholds_futures if self.is_futures_mode else self.grind_2_derisk_1_sub_thresholds_spot ) if (slice_amount * grind_2_derisk_1_stakes[0] / (trade.leverage if self.is_futures_mode else 1.0)) < min_stake: multi = min_stake / slice_amount / grind_2_derisk_1_stakes[0] * trade.leverage for i, _ in enumerate(grind_2_derisk_1_stakes): grind_2_derisk_1_stakes[i] *= multi grind_2_derisk_1_max_sub_grinds = len(grind_2_derisk_1_stakes) grind_2_derisk_1_stop_grinds = ( self.grind_2_derisk_1_stop_grinds_futures if self.is_futures_mode else self.grind_2_derisk_1_stop_grinds_spot ) grind_2_derisk_1_profit_threshold = ( self.grind_2_derisk_1_profit_threshold_futures if self.is_futures_mode else self.grind_2_derisk_1_profit_threshold_spot ) partial_sell = False is_derisk_found = False # d de-risk is_derisk_1 = False is_derisk_1_found = False # d1 de-risk exit derisk_1_order = None derisk_1_reentry_order = None derisk_1_sub_grind_count = 0 derisk_1_total_amount = 0.0 derisk_1_total_cost = 0.0 derisk_1_current_open_rate = 0.0 derisk_1_current_grind_stake = 0.0 derisk_1_current_grind_stake_profit = 0.0 derisk_1_is_sell_found = False derisk_1_reentry_found = False derisk_1_buy_orders = [] derisk_1_distance_ratio = 0.0 grind_1_sub_grind_count = 0 grind_1_total_amount = 0.0 grind_1_total_cost = 0.0 grind_1_current_open_rate = 0.0 grind_1_current_grind_stake = 0.0 grind_1_current_grind_stake_profit = 0.0 grind_1_is_sell_found = False grind_1_found = False grind_1_buy_orders = [] grind_1_distance_ratio = 0.0 grind_2_sub_grind_count = 0 grind_2_total_amount = 0.0 grind_2_total_cost = 0.0 grind_2_current_open_rate = 0.0 grind_2_current_grind_stake = 0.0 grind_2_current_grind_stake_profit = 0.0 grind_2_is_sell_found = False grind_2_found = False grind_2_buy_orders = [] grind_2_distance_ratio = 0.0 grind_3_sub_grind_count = 0 grind_3_total_amount = 0.0 grind_3_total_cost = 0.0 grind_3_current_open_rate = 0.0 grind_3_current_grind_stake = 0.0 grind_3_current_grind_stake_profit = 0.0 grind_3_is_sell_found = False grind_3_found = False grind_3_buy_orders = [] grind_3_distance_ratio = 0.0 grind_4_sub_grind_count = 0 grind_4_total_amount = 0.0 grind_4_total_cost = 0.0 grind_4_current_open_rate = 0.0 grind_4_current_grind_stake = 0.0 grind_4_current_grind_stake_profit = 0.0 grind_4_is_sell_found = False grind_4_found = False grind_4_buy_orders = [] grind_4_distance_ratio = 0.0 grind_5_sub_grind_count = 0 grind_5_total_amount = 0.0 grind_5_total_cost = 0.0 grind_5_current_open_rate = 0.0 grind_5_current_grind_stake = 0.0 grind_5_current_grind_stake_profit = 0.0 grind_5_is_sell_found = False grind_5_found = False grind_5_buy_orders = [] grind_5_distance_ratio = 0.0 grind_6_sub_grind_count = 0 grind_6_total_amount = 0.0 grind_6_total_cost = 0.0 grind_6_current_open_rate = 0.0 grind_6_current_grind_stake = 0.0 grind_6_current_grind_stake_profit = 0.0 grind_6_is_sell_found = False grind_6_found = False grind_6_buy_orders = [] grind_6_distance_ratio = 0.0 grind_1_derisk_1_sub_grind_count = 0 grind_1_derisk_1_total_amount = 0.0 grind_1_derisk_1_total_cost = 0.0 grind_1_derisk_1_current_open_rate = 0.0 grind_1_derisk_1_current_grind_stake = 0.0 grind_1_derisk_1_current_grind_stake_profit = 0.0 grind_1_derisk_1_is_sell_found = False grind_1_derisk_1_found = False grind_1_derisk_1_buy_orders = [] grind_1_derisk_1_distance_ratio = 0.0 grind_2_derisk_1_sub_grind_count = 0 grind_2_derisk_1_total_amount = 0.0 grind_2_derisk_1_total_cost = 0.0 grind_2_derisk_1_current_open_rate = 0.0 grind_2_derisk_1_current_grind_stake = 0.0 grind_2_derisk_1_current_grind_stake_profit = 0.0 grind_2_derisk_1_is_sell_found = False grind_2_derisk_1_found = False grind_2_derisk_1_buy_orders = [] grind_2_derisk_1_distance_ratio = 0.0 for order in reversed(filled_orders): if (order.ft_order_side == "sell") and (order is not filled_orders[0]): order_tag = "" if has_order_tags: if order.ft_order_tag is not None: order_tag = order.ft_order_tag if not is_derisk_1 and order_tag == "d1": derisk_1_sub_grind_count += 1 derisk_1_total_amount += order.safe_filled derisk_1_total_cost += order.safe_filled * order.safe_price derisk_1_buy_orders.append(order.id) if not derisk_1_reentry_found and not is_derisk_1: derisk_1_distance_ratio = (exit_rate - order.safe_price) / order.safe_price derisk_1_reentry_found = True derisk_1_reentry_order = order elif not grind_1_derisk_1_is_sell_found and order_tag == "dl1": grind_1_derisk_1_sub_grind_count += 1 grind_1_derisk_1_total_amount += order.safe_filled grind_1_derisk_1_total_cost += order.safe_filled * order.safe_price grind_1_derisk_1_buy_orders.append(order.id) if not grind_1_derisk_1_found: grind_1_derisk_1_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_1_derisk_1_found = True elif not grind_2_derisk_1_is_sell_found and order_tag == "dl2": grind_2_derisk_1_sub_grind_count += 1 grind_2_derisk_1_total_amount += order.safe_filled grind_2_derisk_1_total_cost += order.safe_filled * order.safe_price grind_2_derisk_1_buy_orders.append(order.id) if not grind_2_derisk_1_found: grind_2_derisk_1_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_2_derisk_1_found = True elif not grind_6_is_sell_found and order_tag == "gd6": grind_6_sub_grind_count += 1 grind_6_total_amount += order.safe_filled grind_6_total_cost += order.safe_filled * order.safe_price grind_6_buy_orders.append(order.id) if not grind_6_found: grind_6_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_6_found = True elif not grind_5_is_sell_found and order_tag == "gd5": grind_5_sub_grind_count += 1 grind_5_total_amount += order.safe_filled grind_5_total_cost += order.safe_filled * order.safe_price grind_5_buy_orders.append(order.id) if not grind_5_found: grind_5_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_5_found = True elif not grind_4_is_sell_found and order_tag == "gd4": grind_4_sub_grind_count += 1 grind_4_total_amount += order.safe_filled grind_4_total_cost += order.safe_filled * order.safe_price grind_4_buy_orders.append(order.id) if not grind_4_found: grind_4_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_4_found = True elif not grind_3_is_sell_found and order_tag == "gd3": grind_3_sub_grind_count += 1 grind_3_total_amount += order.safe_filled grind_3_total_cost += order.safe_filled * order.safe_price grind_3_buy_orders.append(order.id) if not grind_3_found: grind_3_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_3_found = True elif not grind_2_is_sell_found and order_tag == "gd2": grind_2_sub_grind_count += 1 grind_2_total_amount += order.safe_filled grind_2_total_cost += order.safe_filled * order.safe_price grind_2_buy_orders.append(order.id) if not grind_2_found: grind_2_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_2_found = True elif not grind_1_is_sell_found and order_tag not in [ "r", "d1", "dl1", "dl2", "g1", "g2", "g3", "g4", "g5", "g6", "sg1", "sg2", "sg3", "sg4", "sg5", "sg6", "gd2", "gd3", "gd4", "gd5", "gd6", "gm0", "gmd0", "gdr", ]: grind_1_sub_grind_count += 1 grind_1_total_amount += order.safe_filled grind_1_total_cost += order.safe_filled * order.safe_price grind_1_buy_orders.append(order.id) if not grind_1_found: grind_1_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_1_found = True elif order.ft_order_side == "buy": if ( order is filled_exits[-1] and (order.safe_remaining * exit_rate / (trade.leverage if self.is_futures_mode else 1.0)) > min_stake ): partial_sell = True break order_tag = "" if has_order_tags: if order.ft_order_tag is not None: sell_order_tag = order.ft_order_tag order_mode = sell_order_tag.split(" ", 1) if len(order_mode) > 0: order_tag = order_mode[0] if order_tag in ["dl1", "ddl1"]: grind_1_derisk_1_is_sell_found = True elif order_tag in ["dl2", "ddl2"]: grind_2_derisk_1_is_sell_found = True elif order_tag in ["gd6", "dd6"]: grind_6_is_sell_found = True elif order_tag in ["gd5", "dd5"]: grind_5_is_sell_found = True if order_tag in ["gd4", "dd4"]: grind_4_is_sell_found = True elif order_tag in ["gd3", "dd3"]: grind_3_is_sell_found = True elif order_tag in ["gd2", "dd2"]: grind_2_is_sell_found = True elif order_tag in ["d1"]: if not is_derisk_1_found: is_derisk_1_found = True is_derisk_1 = True derisk_1_order = order elif order_tag in ["p", "r", "d", "dd0", "partial_exit", "force_exit", ""]: if order_tag in ["d"]: is_derisk_found = True is_derisk = True grind_1_is_sell_found = True grind_2_is_sell_found = True grind_3_is_sell_found = True grind_4_is_sell_found = True grind_5_is_sell_found = True grind_6_is_sell_found = True grind_1_derisk_1_is_sell_found = True grind_2_derisk_1_is_sell_found = True elif order_tag not in [ "dl1", "ddl1", "dl2", "ddl2", "g1", "g2", "g3", "g4", "g5", "g6", "sg1", "sg2", "sg3", "sg4", "sg5", "sg6", "gd2", "gd3", "gd4", "gd5", "gd6", "dd2", "dd3", "dd4", "dd5", "dd6", "gm0", "gmd0", "gdr", ]: grind_1_is_sell_found = True if derisk_1_sub_grind_count > 0: derisk_1_current_open_rate = derisk_1_total_cost / derisk_1_total_amount derisk_1_current_grind_stake = derisk_1_total_amount * exit_rate * (1 + trade.fee_close) derisk_1_current_grind_stake_profit = derisk_1_total_cost - derisk_1_current_grind_stake if grind_1_sub_grind_count > 0: grind_1_current_open_rate = grind_1_total_cost / grind_1_total_amount grind_1_current_grind_stake = grind_1_total_amount * exit_rate * (1 + trade.fee_close) grind_1_current_grind_stake_profit = grind_1_total_cost - grind_1_current_grind_stake if grind_2_sub_grind_count > 0: grind_2_current_open_rate = grind_2_total_cost / grind_2_total_amount grind_2_current_grind_stake = grind_2_total_amount * exit_rate * (1 + trade.fee_close) grind_2_current_grind_stake_profit = grind_2_total_cost - grind_2_current_grind_stake if grind_3_sub_grind_count > 0: grind_3_current_open_rate = grind_3_total_cost / grind_3_total_amount grind_3_current_grind_stake = grind_3_total_amount * exit_rate * (1 + trade.fee_close) grind_3_current_grind_stake_profit = grind_3_total_cost - grind_3_current_grind_stake if grind_4_sub_grind_count > 0: grind_4_current_open_rate = grind_4_total_cost / grind_4_total_amount grind_4_current_grind_stake = grind_4_total_amount * exit_rate * (1 + trade.fee_close) grind_4_current_grind_stake_profit = grind_4_total_cost - grind_4_current_grind_stake if grind_5_sub_grind_count > 0: grind_5_current_open_rate = grind_5_total_cost / grind_5_total_amount grind_5_current_grind_stake = grind_5_total_amount * exit_rate * (1 + trade.fee_close) grind_5_current_grind_stake_profit = grind_5_total_cost - grind_5_current_grind_stake if grind_6_sub_grind_count > 0: grind_6_current_open_rate = grind_6_total_cost / grind_6_total_amount grind_6_current_grind_stake = grind_6_total_amount * exit_rate * (1 + trade.fee_close) grind_6_current_grind_stake_profit = grind_6_total_cost - grind_6_current_grind_stake if grind_1_derisk_1_sub_grind_count > 0: grind_1_derisk_1_current_open_rate = grind_1_derisk_1_total_cost / grind_1_derisk_1_total_amount grind_1_derisk_1_current_grind_stake = grind_1_derisk_1_total_amount * exit_rate * (1 + trade.fee_close) grind_1_derisk_1_current_grind_stake_profit = grind_1_derisk_1_total_cost - grind_1_derisk_1_current_grind_stake if grind_2_derisk_1_sub_grind_count > 0: grind_2_derisk_1_current_open_rate = grind_2_derisk_1_total_cost / grind_2_derisk_1_total_amount grind_2_derisk_1_current_grind_stake = grind_2_derisk_1_total_amount * exit_rate * (1 + trade.fee_close) grind_2_derisk_1_current_grind_stake_profit = grind_2_derisk_1_total_cost - grind_2_derisk_1_current_grind_stake num_open_grinds = ( grind_1_sub_grind_count + grind_2_sub_grind_count + grind_3_sub_grind_count + grind_4_sub_grind_count + grind_5_sub_grind_count + grind_6_sub_grind_count + grind_1_derisk_1_sub_grind_count + grind_2_derisk_1_sub_grind_count ) grinds_total_stake_profit = ( derisk_1_current_grind_stake_profit + grind_1_derisk_1_current_grind_stake_profit + grind_2_derisk_1_current_grind_stake_profit + grind_1_current_grind_stake_profit + grind_2_current_grind_stake_profit + grind_3_current_grind_stake_profit + grind_4_current_grind_stake_profit + grind_5_current_grind_stake_profit + grind_6_current_grind_stake_profit ) grinds_total_amount = ( derisk_1_total_amount + grind_1_derisk_1_total_amount + grind_2_derisk_1_total_amount + grind_1_total_amount + grind_2_total_amount + grind_3_total_amount + grind_4_total_amount + grind_5_total_amount + grind_6_total_amount ) # Sell remaining if partial fill on exit if partial_sell: order = filled_exits[-1] sell_amount = order.safe_remaining * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Exit (remaining) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {order.safe_remaining} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "p" if has_order_tags: if order.ft_order_tag is not None: order_tag = order.ft_order_tag if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount if is_grind_mode and ( (filled_entries[0].safe_filled * (trade.stake_amount / trade.amount) - (min_stake * 1.5)) > min_stake ): is_first_entry_exit_found = False for order in filled_orders: if order.ft_order_side == "sell": order_tag = "" if has_order_tags: if order.ft_order_tag is not None: sell_order_tag = order.ft_order_tag order_mode = sell_order_tag.split(" ", 1) if len(order_mode) > 0: order_tag = order_mode[0] else: # no order tag support, assume the first exit is for the first buy is_first_entry_exit_found = True if order_tag in ["gm0", "gmd0"]: is_first_entry_exit_found = True break if not is_first_entry_exit_found: first_entry = filled_entries[0] first_entry_distance_ratio = -(exit_rate - first_entry.safe_price) / first_entry.safe_price # First entry exit if first_entry_distance_ratio > ( (self.grind_mode_first_entry_profit_threshold_spot + fee_open_rate + fee_close_rate) if self.is_futures_mode else (self.grind_mode_first_entry_profit_threshold_spot + fee_open_rate + fee_close_rate) ): sell_amount = first_entry.safe_filled * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = -(exit_rate - first_entry.safe_price) / first_entry.safe_price coin_amount = sell_amount / exit_rate self.dp.send_msg( f"Grinding exit (gm0) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {coin_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (gm0) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {coin_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gm0" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # First entry de-risk if self.derisk_use_grind_stops and ( first_entry_distance_ratio < ( self.grind_mode_first_entry_stop_threshold_spot if self.is_futures_mode else self.grind_mode_first_entry_stop_threshold_spot ) ): sell_amount = first_entry.safe_filled * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = -(exit_rate - first_entry.safe_price) / first_entry.safe_price coin_amount = sell_amount / exit_rate self.dp.send_msg( f"Grinding de-risk (gmd0) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {coin_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding de-risk (gmd0) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {coin_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gmd0" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount is_short_grind_entry = self.short_grind_entry(last_candle, previous_candle, slice_profit, True) # Grinding derisk 1 # Buy if ( has_order_tags and is_derisk_1 and not derisk_1_reentry_found and (not partial_sell) and (grind_1_derisk_1_sub_grind_count < grind_1_derisk_1_max_sub_grinds) and is_not_trade_max_stake ): if ( ( ( (grind_1_derisk_1_sub_grind_count > 0) and -grind_1_derisk_1_distance_ratio < grind_1_derisk_1_sub_thresholds[grind_1_derisk_1_sub_grind_count] ) or ((is_derisk or is_derisk_calc) and grind_1_derisk_1_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) # and ((num_open_grinds == 0) or (slice_profit > 0.03)) and is_short_grind_entry ): buy_amount = ( slice_amount * grind_1_derisk_1_stakes[grind_1_derisk_1_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_1_derisk_1_sub_grind_count > 0: grind_profit = -(exit_rate - grind_1_derisk_1_current_open_rate) / grind_1_derisk_1_current_open_rate grind_profit_stake = grind_1_derisk_1_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (dl1) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_derisk_1_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (dl1) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_derisk_1_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "dl1" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_1_derisk_1_sub_grind_count > 0: grind_profit = -(exit_rate - grind_1_derisk_1_current_open_rate) / grind_1_derisk_1_current_open_rate if grind_profit > (grind_1_derisk_1_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_1_derisk_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (dl1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (dl1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "dl1" for grind_entry_id in grind_1_derisk_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and (grind_1_derisk_1_sub_grind_count > 0) # and ( # (-(exit_rate - grind_1_derisk_1_current_open_rate) / grind_1_derisk_1_current_open_rate) # < grind_1_derisk_1_stop_grinds # ) and (grind_1_derisk_1_current_grind_stake_profit < (slice_amount * grind_1_derisk_1_stop_grinds)) and (is_derisk or is_derisk_calc) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_1_derisk_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_1_derisk_1_current_open_rate > 0.0: grind_profit = ( (-(exit_rate - grind_1_derisk_1_current_open_rate) / grind_1_derisk_1_current_open_rate) if grind_1_derisk_1_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (ddl1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (ddl1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "ddl1" for grind_entry_id in grind_1_derisk_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding derisk 2 # Buy if ( has_order_tags and is_derisk_1 and not derisk_1_reentry_found and (not partial_sell) and (grind_2_derisk_1_sub_grind_count < grind_2_derisk_1_max_sub_grinds) and is_not_trade_max_stake ): if ( ( ( (grind_2_derisk_1_sub_grind_count > 0) and -grind_2_derisk_1_distance_ratio < grind_2_derisk_1_sub_thresholds[grind_2_derisk_1_sub_grind_count] ) or ((is_derisk or is_derisk_calc) and grind_2_derisk_1_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) # and ((num_open_grinds == 0) or (slice_profit > 0.03)) and is_short_grind_entry ): buy_amount = ( slice_amount * grind_2_derisk_1_stakes[grind_2_derisk_1_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_2_derisk_1_sub_grind_count > 0: grind_profit = -(exit_rate - grind_2_derisk_1_current_open_rate) / grind_2_derisk_1_current_open_rate grind_profit_stake = grind_2_derisk_1_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (dl2) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_2_derisk_1_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (dl2) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_2_derisk_1_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "dl2" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_2_derisk_1_sub_grind_count > 0: grind_profit = -(exit_rate - grind_2_derisk_1_current_open_rate) / grind_2_derisk_1_current_open_rate if grind_profit > (grind_2_derisk_1_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_2_derisk_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (dl2) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (dl2) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "dl2" for grind_entry_id in grind_2_derisk_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and (grind_2_derisk_1_sub_grind_count > 0) # and ( # (-(exit_rate - grind_2_derisk_1_current_open_rate) / grind_2_derisk_1_current_open_rate) # < grind_2_derisk_1_stop_grinds # ) and (grind_2_derisk_1_current_grind_stake_profit < (slice_amount * grind_2_derisk_1_stop_grinds)) and (is_derisk or is_derisk_calc) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_2_derisk_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_2_derisk_1_current_open_rate > 0.0: grind_profit = ( (-(exit_rate - grind_2_derisk_1_current_open_rate) / grind_2_derisk_1_current_open_rate) if grind_2_derisk_1_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (ddl2) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (ddl2) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_derisk_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "ddl2" for grind_entry_id in grind_2_derisk_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 1 # Buy if (not partial_sell) and (grind_1_sub_grind_count < grind_1_max_sub_grinds): if ( ( ((grind_1_sub_grind_count > 0) and -grind_1_distance_ratio < grind_1_sub_thresholds[grind_1_sub_grind_count]) or ((is_derisk or is_derisk_calc) and grind_1_sub_grind_count == 0) or (is_grind_mode and grind_1_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) # and ((num_open_grinds == 0) or (slice_profit > 0.03)) and is_short_grind_entry and is_not_trade_max_stake ): buy_amount = ( slice_amount * grind_1_stakes[grind_1_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_1_sub_grind_count > 0: grind_profit = -(exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate grind_profit_stake = grind_1_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (gd1) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (gd1) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "gd1" if has_order_tags: return buy_amount, order_tag else: return buy_amount if ( self.is_futures_mode and has_order_tags and (not partial_sell) and slice_profit > (0.65 / trade.leverage) and (is_derisk or is_derisk_calc or is_grind_mode) and (grind_1_sub_grind_count < grind_1_max_sub_grinds) ): buy_amount = ( slice_amount * grind_1_stakes[grind_1_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_1_sub_grind_count > 0: grind_profit = -(exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate grind_profit_stake = grind_1_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (gd1) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (gd1) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "gd1" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_1_sub_grind_count > 0: grind_profit = -(exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate if grind_profit > (grind_1_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (gd1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (gd1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gd1" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and ( (grind_1_sub_grind_count > 0) # and ((-(exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate) < grind_1_stop_grinds) and (grind_1_current_grind_stake_profit < (slice_amount * grind_1_stop_grinds)) and (is_derisk or is_derisk_calc or is_grind_mode) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_1_current_open_rate > 0.0: grind_profit = ( (-(exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate) if grind_1_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (dd1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (dd1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "dd1" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 2 # Buy if has_order_tags and (not partial_sell) and (grind_2_sub_grind_count < grind_2_max_sub_grinds): if ( ( ((grind_2_sub_grind_count > 0) and -grind_2_distance_ratio < grind_2_sub_thresholds[grind_2_sub_grind_count]) or ((is_derisk or is_derisk_calc) and grind_2_sub_grind_count == 0) or (is_grind_mode and grind_2_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) # and ((num_open_grinds == 0) or (slice_profit > 0.03)) and is_short_grind_entry and is_not_trade_max_stake ): buy_amount = ( slice_amount * grind_2_stakes[grind_2_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_2_sub_grind_count > 0: grind_profit = -(exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate grind_profit_stake = grind_2_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (gd2) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_2_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (gd2) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_2_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "gd2" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_2_sub_grind_count > 0: grind_profit = -(exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate if grind_profit > (grind_2_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_2_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (gd2) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (gd2) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gd2" for grind_entry_id in grind_2_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and ( (grind_2_sub_grind_count > 0) # and ((-(exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate) < grind_2_stop_grinds) and (grind_2_current_grind_stake_profit < (slice_amount * grind_2_stop_grinds)) and (is_derisk or is_derisk_calc or is_grind_mode) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_2_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_2_current_open_rate > 0.0: grind_profit = ( (-(exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate) if grind_2_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (dd2) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (dd2) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "dd2" for grind_entry_id in grind_2_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 3 # Buy if has_order_tags and (not partial_sell) and (grind_3_sub_grind_count < grind_3_max_sub_grinds): if ( ( ((grind_3_sub_grind_count > 0) and -grind_3_distance_ratio < grind_3_sub_thresholds[grind_3_sub_grind_count]) or ((is_derisk or is_derisk_calc) and grind_3_sub_grind_count == 0) or (is_grind_mode and grind_3_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) # and ((num_open_grinds == 0) or (slice_profit > 0.03)) and is_short_grind_entry and is_not_trade_max_stake ): buy_amount = ( slice_amount * grind_3_stakes[grind_3_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_3_sub_grind_count > 0: grind_profit = -(exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate grind_profit_stake = grind_3_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (gd3) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_3_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (gd3) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_3_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "gd3" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_3_sub_grind_count > 0: grind_profit = -(exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate if grind_profit > (grind_3_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_3_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (gd3) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (gd3) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gd3" for grind_entry_id in grind_3_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and ( (grind_3_sub_grind_count > 0) # and ((-(exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate) < grind_3_stop_grinds) and (grind_3_current_grind_stake_profit < (slice_amount * grind_3_stop_grinds)) and (is_derisk or is_derisk_calc or is_grind_mode) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_3_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_3_current_open_rate > 0.0: grind_profit = ( (-(exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate) if grind_3_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (dd3) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (dd3) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "dd3" for grind_entry_id in grind_3_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 4 # Buy if has_order_tags and (not partial_sell) and (grind_4_sub_grind_count < grind_4_max_sub_grinds): if ( ( ((grind_4_sub_grind_count > 0) and -grind_4_distance_ratio < grind_4_sub_thresholds[grind_4_sub_grind_count]) or ((is_derisk or is_derisk_calc) and grind_4_sub_grind_count == 0) or (is_grind_mode and grind_4_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) # and ((num_open_grinds == 0) or (slice_profit > 0.03)) and is_short_grind_entry and is_not_trade_max_stake ): buy_amount = ( slice_amount * grind_4_stakes[grind_4_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_4_sub_grind_count > 0: grind_profit = -(exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate grind_profit_stake = grind_4_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (gd4) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_4_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (gd4) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_4_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "gd4" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_4_sub_grind_count > 0: grind_profit = -(exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate if grind_profit > (grind_4_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_4_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (gd4) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (gd4) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gd4" for grind_entry_id in grind_4_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and ( (grind_4_sub_grind_count > 0) # and ((-(exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate) < grind_4_stop_grinds) and (grind_4_current_grind_stake_profit < (slice_amount * grind_4_stop_grinds)) and (is_derisk or is_derisk_calc or is_grind_mode) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_4_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_4_current_open_rate > 0.0: grind_profit = ( (-(exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate) if grind_4_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (dd4) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (dd4) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "dd4" for grind_entry_id in grind_4_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 5 # Buy if has_order_tags and (not partial_sell) and (grind_5_sub_grind_count < grind_5_max_sub_grinds): if ( ( ((grind_5_sub_grind_count > 0) and -grind_5_distance_ratio < grind_5_sub_thresholds[grind_5_sub_grind_count]) or ((is_derisk or is_derisk_calc) and grind_5_sub_grind_count == 0) or (is_grind_mode and grind_5_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) # and ((num_open_grinds == 0) or (slice_profit > 0.03)) and is_short_grind_entry and is_not_trade_max_stake ): buy_amount = ( slice_amount * grind_5_stakes[grind_5_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_5_sub_grind_count > 0: grind_profit = -(exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate grind_profit_stake = grind_5_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (gd5) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_5_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (gd5) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_5_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "gd5" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_5_sub_grind_count > 0: grind_profit = -(exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate if grind_profit > (grind_5_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_5_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (gd5) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (gd5) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gd5" for grind_entry_id in grind_5_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and ( (grind_5_sub_grind_count > 0) # and ((-(exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate) < grind_5_stop_grinds) and (grind_5_current_grind_stake_profit < (slice_amount * grind_5_stop_grinds)) and (is_derisk or is_derisk_calc or is_grind_mode) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_5_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_5_current_open_rate > 0.0: grind_profit = ( (-(exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate) if grind_5_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (dd5) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (dd5) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "dd5" for grind_entry_id in grind_5_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grinding 6 # Buy if has_order_tags and (not partial_sell) and (grind_6_sub_grind_count < grind_6_max_sub_grinds): if ( ( ((grind_6_sub_grind_count > 0) and -grind_6_distance_ratio < grind_6_sub_thresholds[grind_6_sub_grind_count]) or ((is_derisk or is_derisk_calc) and grind_6_sub_grind_count == 0) or (is_grind_mode and grind_6_sub_grind_count == 0) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) # and ((num_open_grinds == 0) or (slice_profit > 0.03)) and is_short_grind_entry and is_not_trade_max_stake ): buy_amount = ( slice_amount * grind_6_stakes[grind_6_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if grind_6_sub_grind_count > 0: grind_profit = -(exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate grind_profit_stake = grind_6_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (gd6) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_6_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (gd6) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_6_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "gd6" if has_order_tags: return buy_amount, order_tag else: return buy_amount # Sell if grind_6_sub_grind_count > 0: grind_profit = -(exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate if grind_profit > (grind_6_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_6_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (gd6) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (gd6) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "gd6" for grind_entry_id in grind_6_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # Grind stop if ( self.derisk_use_grind_stops and ( (grind_6_sub_grind_count > 0) # and ((-(exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate) < grind_6_stop_grinds) and (grind_6_current_grind_stake_profit < (slice_amount * grind_6_stop_grinds)) and (is_derisk or is_derisk_calc or is_grind_mode) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = grind_6_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_6_current_open_rate > 0.0: grind_profit = ( (-(exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate) if grind_6_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (dd6) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (dd6) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "dd6" for grind_entry_id in grind_6_buy_orders: order_tag += " " + str(grind_entry_id) if has_order_tags: return -ft_sell_amount, order_tag else: return -ft_sell_amount # De-risk 1 reentry if ( is_derisk_1 and not derisk_1_reentry_found and derisk_1_order is not None and ( (-(current_rate - derisk_1_order.safe_price) / derisk_1_order.safe_price) < ( self.regular_mode_derisk_1_reentry_futures if self.is_futures_mode else self.regular_mode_derisk_1_reentry_spot ) ) ): if ( (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) # and ((num_open_grinds == 0) or (slice_profit > 0.03)) and ( # (last_candle["protections_short_rebuy"] == True) # and (last_candle["protections_short_global"] == True) (last_candle["global_protections_short_pump"] == True) and (last_candle["global_protections_short_dump"] == True) ) and is_short_grind_entry ): buy_amount = derisk_1_order.safe_filled * derisk_1_order.safe_price if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None grind_profit = 0.0 grind_profit_stake = 0.0 if derisk_1_sub_grind_count > 0: grind_profit = -(exit_rate - derisk_1_current_open_rate) / derisk_1_current_open_rate grind_profit_stake = derisk_1_current_grind_stake_profit self.dp.send_msg( f"Re-entry (d1) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({derisk_1_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Re-entry (d1) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({derisk_1_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "d1" if has_order_tags: return buy_amount, order_tag else: return buy_amount # De-risk level 1 if ( has_order_tags # and not is_derisk_1 and derisk_1_reentry_found and derisk_1_reentry_order is not None # and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 5) or is_backtest) and -derisk_1_distance_ratio < ( ( self.regular_mode_derisk_1_reentry_futures if self.is_futures_mode else self.regular_mode_derisk_1_reentry_spot ) / (trade.leverage if self.is_futures_mode else 1.0) ) ): sell_amount = derisk_1_reentry_order.safe_filled * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"De-risk (d1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"De-risk (d1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) return -ft_sell_amount, "d1" return None # Short Grinding Entry # --------------------------------------------------------------------------------------------- def short_grind_entry( self, last_candle: Series, previous_candle: Series, slice_profit: float, is_derisk: bool ) -> float: if ( (last_candle["protections_short_global"] == True) and (last_candle["protections_short_rebuy"] == True) and (last_candle["global_protections_short_pump"] == True) and (last_candle["global_protections_short_dump"] == True) and ( (last_candle["enter_short"] == True) or ( (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3"] < 90.0) and (last_candle["RSI_3_15m"] < 90.0) and (last_candle["AROOND_14"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_1h"] > 30.0) and (last_candle["STOCHRSIk_14_14_3_3_4h"] > 30.0) and (last_candle["close"] > (last_candle["EMA_16"] * 1.012)) ) or ( (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3_15m"] < 95.0) and (last_candle["RSI_3_1h"] < 95.0) and (last_candle["RSI_3_4h"] < 95.0) and (last_candle["EMA_12"] > last_candle["EMA_26"]) and ((last_candle["EMA_12"] - last_candle["EMA_26"]) > (last_candle["open"] * 0.030)) and ((previous_candle["EMA_12"] - previous_candle["EMA_26"]) > (last_candle["open"] / 100.0)) ) or ( (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3"] < 95.0) and (last_candle["RSI_3_15m"] < 90.0) and (last_candle["RSI_3_1h"] < 90.0) and (last_candle["RSI_3_4h"] < 90.0) and (last_candle["EMA_12"] > last_candle["EMA_26"]) and ((last_candle["EMA_12"] - last_candle["EMA_26"]) > (last_candle["open"] * 0.020)) and ((previous_candle["EMA_12"] - previous_candle["EMA_26"]) > (last_candle["open"] / 100.0)) ) or ( (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3"] < 84.0) and (last_candle["AROOND_14_15m"] < 25.0) and (last_candle["close"] > (last_candle["EMA_12"] * 1.016)) ) or ( (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3_15m"] < 90.0) and (last_candle["RSI_3_1h"] < 90.0) and (last_candle["RSI_3_4h"] < 90.0) and (last_candle["AROONU_14_1h"] < last_candle["AROOND_14_1h"]) and (last_candle["AROONU_14_4h"] < last_candle["AROOND_14_4h"]) and (last_candle["close"] > (last_candle["EMA_26"] * 1.022)) and (last_candle["close"] > (last_candle["BBL_20_2.0"] * 1.001)) ) or ( (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_4h"] < 80.0) and (last_candle["RSI_14_1h"] > 20.0) and (last_candle["RSI_14_4h"] > 40.0) and (last_candle["AROONU_14"] < last_candle["AROOND_14"]) and (previous_candle["AROONU_14"] > previous_candle["AROOND_14"]) ) or ( (last_candle["RSI_14"] > 64.0) and (last_candle["RSI_3_15m"] < 85.0) and (last_candle["RSI_3_1h"] < 80.0) and (last_candle["RSI_3_4h"] < 80.0) and (last_candle["RSI_14_1h"] > 20.0) and (last_candle["RSI_14_4h"] > 40.0) and (last_candle["KST_10_15_20_30_10_10_10_15"] < last_candle["KSTs_9"]) and (previous_candle["KST_10_15_20_30_10_10_10_15"] > previous_candle["KSTs_9"]) ) or ( is_derisk and (last_candle["RSI_3"] < 80.0) and (last_candle["RSI_3_15m"] < 80.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["AROOND_14"] < 25.0) and (last_candle["AROOND_14_15m"] < 25.0) and (last_candle["STOCHRSIk_14_14_3_3_15m"] > 50.0) ) ) ): return True return False # Short Grinding Adjust Trade Position No De-Risk # --------------------------------------------------------------------------------------------- def short_adjust_trade_position_no_derisk( self, trade: Trade, enter_tags, current_time: datetime, current_rate: float, current_profit: float, min_stake: Optional[float], max_stake: float, current_entry_rate: float, current_exit_rate: float, current_entry_profit: float, current_exit_profit: float, last_candle: Series, previous_candle: Series, filled_orders: "Orders", filled_entries: "Orders", filled_exits: "Orders", exit_rate: float, slice_amount: float, slice_profit_entry: float, slice_profit: float, profit_ratio: float, profit_stake: float, profit_init_ratio: float, current_stake_amount: float, has_order_tags: bool, **kwargs, ) -> tuple[Optional[float], str, bool]: is_backtest = self.dp.runmode.value in ["backtest", "hyperopt"] max_rebuy_sub_grinds = 0 regular_mode_rebuy_stakes = ( self.regular_mode_rebuy_stakes_futures.copy() if self.is_futures_mode else self.regular_mode_rebuy_stakes_spot.copy() ) regular_mode_rebuy_sub_thresholds = ( self.regular_mode_rebuy_thresholds_futures if self.is_futures_mode else self.regular_mode_rebuy_thresholds_spot ) if (slice_amount * regular_mode_rebuy_stakes[0] / trade.leverage) < min_stake: multi = min_stake / slice_amount / regular_mode_rebuy_stakes[0] * trade.leverage for i, _ in enumerate(regular_mode_rebuy_stakes): regular_mode_rebuy_stakes[i] *= multi max_rebuy_sub_grinds = len(regular_mode_rebuy_stakes) max_grind_1_sub_grinds = 0 regular_mode_grind_1_stakes = ( self.regular_mode_grind_1_stakes_futures.copy() if self.is_futures_mode else self.regular_mode_grind_1_stakes_spot.copy() ) regular_mode_grind_1_sub_thresholds = ( self.regular_mode_grind_1_thresholds_futures if self.is_futures_mode else self.regular_mode_grind_1_thresholds_spot ) if (slice_amount * regular_mode_grind_1_stakes[0] / trade.leverage) < min_stake: multi = min_stake / slice_amount / regular_mode_grind_1_stakes[0] * trade.leverage for i, _ in enumerate(regular_mode_grind_1_stakes): regular_mode_grind_1_stakes[i] *= multi max_grind_1_sub_grinds = len(regular_mode_grind_1_stakes) regular_mode_grind_1_stop_grinds = ( self.regular_mode_grind_1_stop_grinds_futures if self.is_futures_mode else self.regular_mode_grind_1_stop_grinds_spot ) regular_mode_grind_1_profit_threshold = ( self.regular_mode_grind_1_profit_threshold_futures if self.is_futures_mode else self.regular_mode_grind_1_profit_threshold_spot ) max_grind_2_sub_grinds = 0 regular_mode_grind_2_stakes = ( self.regular_mode_grind_2_stakes_futures.copy() if self.is_futures_mode else self.regular_mode_grind_2_stakes_spot.copy() ) regular_mode_grind_2_sub_thresholds = ( self.regular_mode_grind_2_thresholds_futures if self.is_futures_mode else self.regular_mode_grind_2_thresholds_spot ) if (slice_amount * regular_mode_grind_2_stakes[0] / trade.leverage) < min_stake: multi = min_stake / slice_amount / regular_mode_grind_2_stakes[0] * trade.leverage for i, _ in enumerate(regular_mode_grind_2_stakes): regular_mode_grind_2_stakes[i] *= multi max_grind_2_sub_grinds = len(regular_mode_grind_2_stakes) regular_mode_grind_2_stop_grinds = ( self.regular_mode_grind_2_stop_grinds_futures if self.is_futures_mode else self.regular_mode_grind_2_stop_grinds_spot ) regular_mode_grind_2_profit_threshold = ( self.regular_mode_grind_2_profit_threshold_futures if self.is_futures_mode else self.regular_mode_grind_2_profit_threshold_spot ) max_grind_3_sub_grinds = 0 regular_mode_grind_3_stakes = ( self.regular_mode_grind_3_stakes_futures.copy() if self.is_futures_mode else self.regular_mode_grind_3_stakes_spot.copy() ) regular_mode_grind_3_sub_thresholds = ( self.regular_mode_grind_3_thresholds_futures if self.is_futures_mode else self.regular_mode_grind_3_thresholds_spot ) if (slice_amount * regular_mode_grind_3_stakes[0] / trade.leverage) < min_stake: multi = min_stake / slice_amount / regular_mode_grind_3_stakes[0] * trade.leverage for i, _ in enumerate(regular_mode_grind_3_stakes): regular_mode_grind_3_stakes[i] *= multi max_grind_3_sub_grinds = len(regular_mode_grind_3_stakes) regular_mode_grind_3_stop_grinds = ( self.regular_mode_grind_3_stop_grinds_futures if self.is_futures_mode else self.regular_mode_grind_3_stop_grinds_spot ) regular_mode_grind_3_profit_threshold = ( self.regular_mode_grind_3_profit_threshold_futures if self.is_futures_mode else self.regular_mode_grind_3_profit_threshold_spot ) max_grind_4_sub_grinds = 0 regular_mode_grind_4_stakes = ( self.regular_mode_grind_4_stakes_futures.copy() if self.is_futures_mode else self.regular_mode_grind_4_stakes_spot.copy() ) regular_mode_grind_4_sub_thresholds = ( self.regular_mode_grind_4_thresholds_futures if self.is_futures_mode else self.regular_mode_grind_4_thresholds_spot ) if (slice_amount * regular_mode_grind_4_stakes[0] / trade.leverage) < min_stake: multi = min_stake / slice_amount / regular_mode_grind_4_stakes[0] * trade.leverage for i, _ in enumerate(regular_mode_grind_4_stakes): regular_mode_grind_4_stakes[i] *= multi max_grind_4_sub_grinds = len(regular_mode_grind_4_stakes) regular_mode_grind_4_stop_grinds = ( self.regular_mode_grind_4_stop_grinds_futures if self.is_futures_mode else self.regular_mode_grind_4_stop_grinds_spot ) regular_mode_grind_4_profit_threshold = ( self.regular_mode_grind_4_profit_threshold_futures if self.is_futures_mode else self.regular_mode_grind_4_profit_threshold_spot ) max_grind_5_sub_grinds = 0 regular_mode_grind_5_stakes = ( self.regular_mode_grind_5_stakes_futures.copy() if self.is_futures_mode else self.regular_mode_grind_5_stakes_spot.copy() ) regular_mode_grind_5_sub_thresholds = ( self.regular_mode_grind_5_thresholds_futures if self.is_futures_mode else self.regular_mode_grind_5_thresholds_spot ) if (slice_amount * regular_mode_grind_5_stakes[0] / trade.leverage) < min_stake: multi = min_stake / slice_amount / regular_mode_grind_5_stakes[0] * trade.leverage for i, _ in enumerate(regular_mode_grind_5_stakes): regular_mode_grind_5_stakes[i] *= multi max_grind_5_sub_grinds = len(regular_mode_grind_5_stakes) regular_mode_grind_5_stop_grinds = ( self.regular_mode_grind_5_stop_grinds_futures if self.is_futures_mode else self.regular_mode_grind_5_stop_grinds_spot ) regular_mode_grind_5_profit_threshold = ( self.regular_mode_grind_5_profit_threshold_futures if self.is_futures_mode else self.regular_mode_grind_5_profit_threshold_spot ) max_grind_6_sub_grinds = 0 regular_mode_grind_6_stakes = ( self.regular_mode_grind_6_stakes_futures.copy() if self.is_futures_mode else self.regular_mode_grind_6_stakes_spot.copy() ) regular_mode_grind_6_sub_thresholds = ( self.regular_mode_grind_6_thresholds_futures if self.is_futures_mode else self.regular_mode_grind_6_thresholds_spot ) if (slice_amount * regular_mode_grind_6_stakes[0] / trade.leverage) < min_stake: multi = min_stake / slice_amount / regular_mode_grind_6_stakes[0] * trade.leverage for i, _ in enumerate(regular_mode_grind_6_stakes): regular_mode_grind_6_stakes[i] *= multi max_grind_6_sub_grinds = len(regular_mode_grind_6_stakes) regular_mode_grind_6_stop_grinds = ( self.regular_mode_grind_6_stop_grinds_futures if self.is_futures_mode else self.regular_mode_grind_6_stop_grinds_spot ) regular_mode_grind_6_profit_threshold = ( self.regular_mode_grind_6_profit_threshold_futures if self.is_futures_mode else self.regular_mode_grind_6_profit_threshold_spot ) partial_sell = False is_derisk = False is_derisk_1 = False rebuy_sub_grind_count = 0 rebuy_total_amount = 0.0 rebuy_total_cost = 0.0 rebuy_current_open_rate = 0.0 rebuy_current_grind_stake = 0.0 rebuy_current_grind_stake_profit = 0.0 rebuy_is_sell_found = False rebuy_found = False rebuy_buy_orders = [] rebuy_distance_ratio = 0.0 grind_1_sub_grind_count = 0 grind_1_total_amount = 0.0 grind_1_total_cost = 0.0 grind_1_current_open_rate = 0.0 grind_1_current_grind_stake = 0.0 grind_1_current_grind_stake_profit = 0.0 grind_1_is_sell_found = False grind_1_found = False grind_1_buy_orders = [] grind_1_distance_ratio = 0.0 grind_2_sub_grind_count = 0 grind_2_total_amount = 0.0 grind_2_total_cost = 0.0 grind_2_current_open_rate = 0.0 grind_2_current_grind_stake = 0.0 grind_2_current_grind_stake_profit = 0.0 grind_2_is_sell_found = False grind_2_found = False grind_2_buy_orders = [] grind_2_distance_ratio = 0.0 grind_3_sub_grind_count = 0 grind_3_total_amount = 0.0 grind_3_total_cost = 0.0 grind_3_current_open_rate = 0.0 grind_3_current_grind_stake = 0.0 grind_3_current_grind_stake_profit = 0.0 grind_3_is_sell_found = False grind_3_found = False grind_3_buy_orders = [] grind_3_distance_ratio = 0.0 grind_4_sub_grind_count = 0 grind_4_total_amount = 0.0 grind_4_total_cost = 0.0 grind_4_current_open_rate = 0.0 grind_4_current_grind_stake = 0.0 grind_4_current_grind_stake_profit = 0.0 grind_4_is_sell_found = False grind_4_found = False grind_4_buy_orders = [] grind_4_distance_ratio = 0.0 grind_5_sub_grind_count = 0 grind_5_total_amount = 0.0 grind_5_total_cost = 0.0 grind_5_current_open_rate = 0.0 grind_5_current_grind_stake = 0.0 grind_5_current_grind_stake_profit = 0.0 grind_5_is_sell_found = False grind_5_found = False grind_5_buy_orders = [] grind_5_distance_ratio = 0.0 grind_6_sub_grind_count = 0 grind_6_total_amount = 0.0 grind_6_total_cost = 0.0 grind_6_current_open_rate = 0.0 grind_6_current_grind_stake = 0.0 grind_6_current_grind_stake_profit = 0.0 grind_6_is_sell_found = False grind_6_found = False grind_6_buy_orders = [] grind_6_distance_ratio = 0.0 for order in reversed(filled_orders): if (order.ft_order_side == "sell") and (order is not filled_orders[0]): order_tag = "" if has_order_tags: if order.ft_order_tag is not None: order_tag = order.ft_order_tag if not grind_1_is_sell_found and order_tag == "g1": grind_1_sub_grind_count += 1 grind_1_total_amount += order.safe_filled grind_1_total_cost += order.safe_filled * order.safe_price grind_1_buy_orders.append(order.id) if not grind_1_found: grind_1_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_1_found = True elif not grind_2_is_sell_found and order_tag == "g2": grind_2_sub_grind_count += 1 grind_2_total_amount += order.safe_filled grind_2_total_cost += order.safe_filled * order.safe_price grind_2_buy_orders.append(order.id) if not grind_2_found: grind_2_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_2_found = True elif not grind_3_is_sell_found and order_tag == "g3": grind_3_sub_grind_count += 1 grind_3_total_amount += order.safe_filled grind_3_total_cost += order.safe_filled * order.safe_price grind_3_buy_orders.append(order.id) if not grind_3_found: grind_3_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_3_found = True elif not grind_4_is_sell_found and order_tag == "g4": grind_4_sub_grind_count += 1 grind_4_total_amount += order.safe_filled grind_4_total_cost += order.safe_filled * order.safe_price grind_4_buy_orders.append(order.id) if not grind_4_found: grind_4_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_4_found = True elif not grind_5_is_sell_found and order_tag == "g5": grind_5_sub_grind_count += 1 grind_5_total_amount += order.safe_filled grind_5_total_cost += order.safe_filled * order.safe_price grind_5_buy_orders.append(order.id) if not grind_5_found: grind_5_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_5_found = True elif not grind_6_is_sell_found and order_tag == "g6": grind_6_sub_grind_count += 1 grind_6_total_amount += order.safe_filled grind_6_total_cost += order.safe_filled * order.safe_price grind_6_buy_orders.append(order.id) if not grind_6_found: grind_6_distance_ratio = (exit_rate - order.safe_price) / order.safe_price grind_6_found = True elif not rebuy_is_sell_found and order_tag not in [ "g1", "g2", "g3", "g4", "g5", "g6", "sg1", "sg2", "sg3", "sg4", "sg5", "sg6", "dl1", "dl2", "gd1", "gd2", "gd3", "gd4", "gd5", "gd6", "gm0", "gmd0", ]: rebuy_sub_grind_count += 1 rebuy_total_amount += order.safe_filled rebuy_total_cost += order.safe_filled * order.safe_price rebuy_buy_orders.append(order.id) if not rebuy_found: rebuy_distance_ratio = (exit_rate - order.safe_price) / order.safe_price rebuy_found = True elif order.ft_order_side == "buy": if ( order is filled_exits[-1] and (order.safe_remaining * exit_rate / (trade.leverage if self.is_futures_mode else 1.0)) > min_stake ): partial_sell = True break order_tag = "" if has_order_tags: if order.ft_order_tag is not None: sell_order_tag = order.ft_order_tag order_mode = sell_order_tag.split(" ", 1) if len(order_mode) > 0: order_tag = order_mode[0] if order_tag in ["g1", "sg1"]: grind_1_is_sell_found = True elif order_tag in ["g2", "sg2"]: grind_2_is_sell_found = True elif order_tag in ["g3", "sg3"]: grind_3_is_sell_found = True elif order_tag in ["g4", "sg4"]: grind_4_is_sell_found = True elif order_tag in ["g5", "sg5"]: grind_5_is_sell_found = True elif order_tag in ["g6", "sg6"]: grind_6_is_sell_found = True elif order_tag in ["d", "d1", "dd0", "ddl1", "ddl2", "dd1", "dd2", "dd3", "dd4", "dd5", "dd6"]: is_derisk = True if order_tag in ["d1"]: is_derisk_1 = True grind_1_is_sell_found = True grind_2_is_sell_found = True grind_3_is_sell_found = True grind_4_is_sell_found = True grind_5_is_sell_found = True grind_6_is_sell_found = True rebuy_is_sell_found = True elif order_tag not in [ "p", "g1", "g2", "g3", "g4", "g5", "g6", "sg1", "sg2", "sg3", "sg4", "sg5", "sg6", "dl1", "dl2", "gd1", "gd2", "gd3", "gd4", "gd5", "gd6", "gm0", "gmd0", ]: rebuy_is_sell_found = True if not is_derisk: start_amount = filled_orders[0].safe_filled current_amount = 0.0 for order2 in filled_orders: if order2.ft_order_side == "sell": current_amount += order2.safe_filled elif order2.ft_order_side == "buy": current_amount -= order2.safe_filled if order2 is order: if current_amount < (start_amount * 0.95): is_derisk = True # found sells for all modes if ( rebuy_is_sell_found and grind_1_is_sell_found and grind_2_is_sell_found and grind_3_is_sell_found and grind_4_is_sell_found and grind_5_is_sell_found and grind_6_is_sell_found ): break # The trade already de-risked if is_derisk: return None, "", is_derisk if not has_order_tags and len(filled_exits) > 0: return None, "", is_derisk if rebuy_sub_grind_count > 0: rebuy_current_open_rate = rebuy_total_cost / rebuy_total_amount rebuy_current_grind_stake = rebuy_total_amount * exit_rate * (1 + trade.fee_close) rebuy_current_grind_stake_profit = rebuy_total_cost - rebuy_current_grind_stake if grind_1_sub_grind_count > 0: grind_1_current_open_rate = grind_1_total_cost / grind_1_total_amount grind_1_current_grind_stake = grind_1_total_amount * exit_rate * (1 + trade.fee_close) grind_1_current_grind_stake_profit = grind_1_total_cost - grind_1_current_grind_stake if grind_2_sub_grind_count > 0: grind_2_current_open_rate = grind_2_total_cost / grind_2_total_amount grind_2_current_grind_stake = grind_2_total_amount * exit_rate * (1 + trade.fee_close) grind_2_current_grind_stake_profit = grind_2_total_cost - grind_2_current_grind_stake if grind_3_sub_grind_count > 0: grind_3_current_open_rate = grind_3_total_cost / grind_3_total_amount grind_3_current_grind_stake = grind_3_total_amount * exit_rate * (1 + trade.fee_close) grind_3_current_grind_stake_profit = grind_3_total_cost - grind_3_current_grind_stake if grind_4_sub_grind_count > 0: grind_4_current_open_rate = grind_4_total_cost / grind_4_total_amount grind_4_current_grind_stake = grind_4_total_amount * exit_rate * (1 + trade.fee_close) grind_4_current_grind_stake_profit = grind_4_total_cost - grind_4_current_grind_stake if grind_5_sub_grind_count > 0: grind_5_current_open_rate = grind_5_total_cost / grind_5_total_amount grind_5_current_grind_stake = grind_5_total_amount * exit_rate * (1 + trade.fee_close) grind_5_current_grind_stake_profit = grind_5_total_cost - grind_5_current_grind_stake if grind_6_sub_grind_count > 0: grind_6_current_open_rate = grind_6_total_cost / grind_6_total_amount grind_6_current_grind_stake = grind_6_total_amount * exit_rate * (1 + trade.fee_close) grind_6_current_grind_stake_profit = grind_6_current_grind_stake - grind_6_total_cost num_open_grinds = ( grind_1_sub_grind_count + grind_2_sub_grind_count + grind_3_sub_grind_count + grind_4_sub_grind_count + grind_5_sub_grind_count + grind_6_sub_grind_count ) is_derisk_mode = all(c in self.short_derisk_mode_tags for c in enter_tags) fee_open_rate = trade.fee_open if self.custom_fee_open_rate is None else self.custom_fee_open_rate fee_close_rate = trade.fee_close if self.custom_fee_close_rate is None else self.custom_fee_close_rate # Sell remaining if partial fill on exit if partial_sell: order = filled_exits[-1] sell_amount = order.safe_remaining * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Exit (remaining) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {order.safe_remaining} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "p" if has_order_tags: if order.ft_order_tag is not None: order_tag = order.ft_order_tag return -ft_sell_amount, order_tag, is_derisk is_short_grind_entry = self.short_grind_entry(last_candle, previous_candle, slice_profit, False) # Rebuy if (not partial_sell) and (not rebuy_is_sell_found) and (rebuy_sub_grind_count < max_rebuy_sub_grinds): if ( (0 <= rebuy_sub_grind_count < max_rebuy_sub_grinds) and (slice_profit_entry < regular_mode_rebuy_sub_thresholds[rebuy_sub_grind_count]) and ( (-rebuy_distance_ratio if (rebuy_sub_grind_count > 0) else profit_init_ratio) < (regular_mode_rebuy_sub_thresholds[rebuy_sub_grind_count]) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=12) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06)) and is_short_grind_entry ): buy_amount = ( slice_amount * regular_mode_rebuy_stakes[rebuy_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount > max_stake: buy_amount = max_stake if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk self.dp.send_msg( f"Rebuy (r) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Rebuy (r) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) order_tag = "r" return buy_amount, order_tag, is_derisk # Grinding g1 # Grinding entry if has_order_tags and (not partial_sell) and (grind_1_sub_grind_count < max_grind_1_sub_grinds): if ( ( (-grind_1_distance_ratio if (grind_1_sub_grind_count > 0) else profit_init_ratio) < (regular_mode_grind_1_sub_thresholds[grind_1_sub_grind_count]) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) and ((num_open_grinds == 0) or (slice_profit > 0.03)) and is_short_grind_entry ): buy_amount = ( slice_amount * regular_mode_grind_1_stakes[grind_1_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk grind_profit = 0.0 grind_profit_stake = 0.0 if grind_1_sub_grind_count > 0: grind_profit = -(exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate grind_profit_stake = grind_1_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (g1) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (g1) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "g1" return buy_amount, order_tag, is_derisk if ( self.is_futures_mode and has_order_tags and (not partial_sell) and slice_profit > (0.65 / trade.leverage) and (grind_1_sub_grind_count < max_grind_1_sub_grinds) ): buy_amount = ( slice_amount * regular_mode_grind_1_stakes[grind_1_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk grind_profit = 0.0 grind_profit_stake = 0.0 if grind_1_sub_grind_count > 0: grind_profit = -(exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate grind_profit_stake = grind_1_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (g1) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (g1) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_1_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "g1" return buy_amount, order_tag, is_derisk # Grinding Exit if has_order_tags and grind_1_sub_grind_count > 0: grind_profit = -(exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate if grind_profit > (regular_mode_grind_1_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (g1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (g1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "g1" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grind stop if ( ( (grind_1_sub_grind_count > 0) and self.regular_mode_use_grind_stops and ((-(exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate) < regular_mode_grind_1_stop_grinds) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest) ): sell_amount = grind_1_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_1_current_open_rate > 0.0: grind_profit = ( (-(exit_rate - grind_1_current_open_rate) / grind_1_current_open_rate) if grind_1_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (sg1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (sg1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_1_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "sg1" for grind_entry_id in grind_1_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grinding g2 # Grinding entry if has_order_tags and (not partial_sell) and (grind_2_sub_grind_count < max_grind_2_sub_grinds): if ( ( (-grind_2_distance_ratio if (grind_2_sub_grind_count > 0) else profit_init_ratio) < (regular_mode_grind_2_sub_thresholds[grind_2_sub_grind_count]) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) and ((num_open_grinds == 0) or (slice_profit > 0.03)) and is_short_grind_entry ): buy_amount = ( slice_amount * regular_mode_grind_2_stakes[grind_2_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk grind_profit = 0.0 grind_profit_stake = 0.0 if grind_2_sub_grind_count > 0: grind_profit = -(exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate grind_profit_stake = grind_2_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (g2) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_2_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (g2) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_2_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "g2" return buy_amount, order_tag, is_derisk # Grinding Exit if has_order_tags and grind_2_sub_grind_count > 0: grind_profit = -(exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate if grind_profit > (regular_mode_grind_2_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_2_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (g2) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (g2) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "g2" for grind_entry_id in grind_2_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grind stop if ( ( (grind_2_sub_grind_count > 0) and self.regular_mode_use_grind_stops and ((-(exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate) < regular_mode_grind_2_stop_grinds) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest) ): sell_amount = grind_2_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_2_current_open_rate > 0.0: grind_profit = ( (-(exit_rate - grind_2_current_open_rate) / grind_2_current_open_rate) if grind_2_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (sg2) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (sg2) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_2_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "sg2" for grind_entry_id in grind_2_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grinding g3 # Grinding entry if has_order_tags and (not partial_sell) and (grind_3_sub_grind_count < max_grind_3_sub_grinds): if ( ( (-grind_3_distance_ratio if (grind_3_sub_grind_count > 0) else profit_init_ratio) < (regular_mode_grind_3_sub_thresholds[grind_3_sub_grind_count]) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) and ((num_open_grinds == 0) or (slice_profit > 0.03)) and is_short_grind_entry ): buy_amount = ( slice_amount * regular_mode_grind_3_stakes[grind_3_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk grind_profit = 0.0 grind_profit_stake = 0.0 if grind_3_sub_grind_count > 0: grind_profit = -(exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate grind_profit_stake = grind_3_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (g3) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_3_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (g3) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_3_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "g3" return buy_amount, order_tag, is_derisk # Grinding Exit if has_order_tags and grind_3_sub_grind_count > 0: grind_profit = -(exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate if grind_profit > (regular_mode_grind_3_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_3_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (g3) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (g3) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "g3" for grind_entry_id in grind_3_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grind stop if ( ( (grind_3_sub_grind_count > 0) and self.regular_mode_use_grind_stops and ((-(exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate) < regular_mode_grind_3_stop_grinds) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest) ): sell_amount = grind_3_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_3_current_open_rate > 0.0: grind_profit = ( (-(exit_rate - grind_3_current_open_rate) / grind_3_current_open_rate) if grind_3_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (sg3) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (sg3) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_3_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "sg3" for grind_entry_id in grind_3_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grinding g4 # Grinding entry if has_order_tags and (not partial_sell) and (grind_4_sub_grind_count < max_grind_4_sub_grinds): if ( ( (-grind_4_distance_ratio if (grind_4_sub_grind_count > 0) else profit_init_ratio) < (regular_mode_grind_4_sub_thresholds[grind_4_sub_grind_count]) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) and ((num_open_grinds == 0) or (slice_profit > 0.03)) and is_short_grind_entry ): buy_amount = ( slice_amount * regular_mode_grind_4_stakes[grind_4_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk grind_profit = 0.0 grind_profit_stake = 0.0 if grind_4_sub_grind_count > 0: grind_profit = -(exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate grind_profit_stake = grind_4_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (g4) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_4_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (g4) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_4_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "g4" return buy_amount, order_tag, is_derisk # Grinding Exit if has_order_tags and grind_4_sub_grind_count > 0: grind_profit = -(exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate if grind_profit > (regular_mode_grind_4_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_4_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (g4) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (g4) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "g4" for grind_entry_id in grind_4_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grind stop if ( ( (grind_4_sub_grind_count > 0) and self.regular_mode_use_grind_stops and ((-(exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate) < regular_mode_grind_4_stop_grinds) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest) ): sell_amount = grind_4_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_4_current_open_rate > 0.0: grind_profit = ( (-(exit_rate - grind_4_current_open_rate) / grind_4_current_open_rate) if grind_4_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (sg4) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (sg4) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_4_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "sg4" for grind_entry_id in grind_4_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grinding g5 # Grinding entry if has_order_tags and (not partial_sell) and (grind_5_sub_grind_count < max_grind_5_sub_grinds): if ( ( (-grind_5_distance_ratio if (grind_5_sub_grind_count > 0) else profit_init_ratio) < (regular_mode_grind_5_sub_thresholds[grind_5_sub_grind_count]) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) and ((num_open_grinds == 0) or (slice_profit > 0.03)) and is_short_grind_entry ): buy_amount = ( slice_amount * regular_mode_grind_5_stakes[grind_5_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk grind_profit = 0.0 grind_profit_stake = 0.0 if grind_5_sub_grind_count > 0: grind_profit = -(exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate grind_profit_stake = grind_5_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (g5) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_5_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (g5) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_5_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "g5" return buy_amount, order_tag, is_derisk # Grinding Exit if has_order_tags and grind_5_sub_grind_count > 0: grind_profit = -(exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate if grind_profit > (regular_mode_grind_5_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_5_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (g5) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (g5) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "g5" for grind_entry_id in grind_5_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grind stop if ( ( (grind_5_sub_grind_count > 0) and self.regular_mode_use_grind_stops and ((-(exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate) < regular_mode_grind_5_stop_grinds) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest) ): sell_amount = grind_5_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_5_current_open_rate > 0.0: grind_profit = ( (-(exit_rate - grind_5_current_open_rate) / grind_5_current_open_rate) if grind_5_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (sg5) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (sg5) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_5_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "sg5" for grind_entry_id in grind_5_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grinding g6 # Grinding entry if has_order_tags and (not partial_sell) and (grind_6_sub_grind_count < max_grind_6_sub_grinds): if ( ( (-grind_6_distance_ratio if (grind_6_sub_grind_count > 0) else profit_init_ratio) < (regular_mode_grind_6_sub_thresholds[grind_6_sub_grind_count]) ) and (current_time - timedelta(minutes=10) > filled_entries[-1].order_filled_utc) and ((current_time - timedelta(hours=2) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.02)) and ( (num_open_grinds == 0) or (current_time - timedelta(hours=6) > filled_orders[-1].order_filled_utc) or (slice_profit > 0.06) ) # and ((num_open_grinds == 0) or (slice_profit > 0.03)) and (is_short_grind_entry) ): buy_amount = ( slice_amount * regular_mode_grind_6_stakes[grind_6_sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 if buy_amount > max_stake: return None, "", is_derisk grind_profit = 0.0 grind_profit_stake = 0.0 if grind_6_sub_grind_count > 0: grind_profit = -(exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate grind_profit_stake = grind_6_current_grind_stake_profit self.dp.send_msg( f"Grinding entry (g6) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_6_current_grind_stake_profit} {self.config['stake_currency']})" ) log.info( f"Grinding entry (g6) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_6_current_grind_stake_profit} {self.config['stake_currency']})" ) order_tag = "g6" return buy_amount, order_tag, is_derisk # Grinding Exit if has_order_tags and grind_6_sub_grind_count > 0: grind_profit = -(exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate if grind_profit > (regular_mode_grind_6_profit_threshold + fee_open_rate + fee_close_rate): sell_amount = grind_6_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: self.dp.send_msg( f"Grinding exit (g6) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) log.info( f"Grinding exit (g6) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}% ({grind_profit * sell_amount * trade.leverage} {self.config['stake_currency']})" ) order_tag = "g6" for grind_entry_id in grind_6_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # Grind stop if ( ( (grind_6_sub_grind_count > 0) and self.regular_mode_use_grind_stops and ((-(exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate) < regular_mode_grind_6_stop_grinds) ) # temporary and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 4, 16) or is_backtest) ): sell_amount = grind_6_total_amount * exit_rate / trade.leverage if ((current_stake_amount / trade.leverage) - sell_amount) < (min_stake * 1.55): sell_amount = (trade.amount * exit_rate / trade.leverage) - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 if grind_6_current_open_rate > 0.0: grind_profit = ( (-(exit_rate - grind_6_current_open_rate) / grind_6_current_open_rate) if grind_6_is_sell_found else profit_ratio ) self.dp.send_msg( f"Grinding stop exit (sg6) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) log.info( f"Grinding stop exit (sg6) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Coin amount: {grind_6_total_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}% | Grind profit: {(grind_profit * 100.0):.2f}%" ) order_tag = "sg6" for grind_entry_id in grind_6_buy_orders: order_tag += " " + str(grind_entry_id) return -ft_sell_amount, order_tag, is_derisk # De-risk if ( self.derisk_enable and ( profit_stake < ( slice_amount * ( (self.regular_mode_derisk_futures if self.is_futures_mode else self.regular_mode_derisk_spot) if (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) else (self.regular_mode_derisk_futures_old if self.is_futures_mode else self.regular_mode_derisk_spot_old) ) / trade.leverage ) ) and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) ): sell_amount = trade.amount * exit_rate / trade.leverage - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"De-risk [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"De-risk [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) return -ft_sell_amount, "d", is_derisk # De-risk level 1 if ( self.derisk_enable and has_order_tags and not is_derisk_1 and (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) and profit_stake < ( slice_amount * ( ( self.regular_mode_derisk_1_derisk_mode_futures if self.is_futures_mode else self.regular_mode_derisk_1_derisk_mode_spot ) if is_derisk_mode else ( (self.regular_mode_derisk_1_futures if self.is_futures_mode else self.regular_mode_derisk_1_spot) if (trade.open_date_utc.replace(tzinfo=None) >= datetime(2024, 9, 13) or is_backtest) else ( self.regular_mode_derisk_1_futures_old if self.is_futures_mode else self.regular_mode_derisk_1_spot_old ) ) ) / trade.leverage ) ): sell_amount = trade.amount * exit_rate / trade.leverage - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"De-risk (d1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"De-risk (d1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) return -ft_sell_amount, "d1", is_derisk return None, "", is_derisk # Short Rebuy Adjust Trade Position # --------------------------------------------------------------------------------------------- def short_rebuy_adjust_trade_position( self, trade: Trade, enter_tags, current_time: datetime, current_rate: float, current_profit: float, min_stake: Optional[float], max_stake: float, current_entry_rate: float, current_exit_rate: float, current_entry_profit: float, current_exit_profit: float, **kwargs, ) -> Optional[float]: # min/max stakes include leverage. The return amounts is before leverage. min_stake /= trade.leverage max_stake /= trade.leverage df, _ = self.dp.get_analyzed_dataframe(trade.pair, self.timeframe) if len(df) < 2: return None last_candle = df.iloc[-1].squeeze() previous_candle = df.iloc[-2].squeeze() filled_orders = trade.select_filled_orders() filled_entries = trade.select_filled_orders(trade.entry_side) filled_exits = trade.select_filled_orders(trade.exit_side) count_of_entries = trade.nr_of_successful_entries count_of_exits = trade.nr_of_successful_exits if count_of_entries == 0: return None has_order_tags = False if hasattr(filled_orders[0], "ft_order_tag"): has_order_tags = True # The first exit is de-risk (providing the trade is still open) if count_of_exits > 0: return self.short_grind_adjust_trade_position( trade, enter_tags, current_time, current_rate, current_profit, min_stake, max_stake, current_entry_rate, current_exit_rate, current_entry_profit, current_exit_profit, ) exit_rate = current_rate if self.dp.runmode.value in ("live", "dry_run"): ticker = self.dp.ticker(trade.pair) if ("bid" in ticker) and ("ask" in ticker): if trade.is_short: if self.config["exit_pricing"]["price_side"] in ["ask", "other"]: if ticker["ask"] is not None: exit_rate = ticker["ask"] else: if self.config["exit_pricing"]["price_side"] in ["bid", "other"]: if ticker["bid"] is not None: exit_rate = ticker["bid"] profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio = self.calc_total_profit( trade, filled_entries, filled_exits, exit_rate ) slice_amount = filled_entries[0].cost slice_profit = (exit_rate - filled_orders[-1].safe_price) / filled_orders[-1].safe_price slice_profit_entry = (exit_rate - filled_entries[-1].safe_price) / filled_entries[-1].safe_price slice_profit_exit = ( ((exit_rate - filled_exits[-1].safe_price) / filled_exits[-1].safe_price) if count_of_exits > 0 else 0.0 ) current_stake_amount = trade.amount * current_rate is_rebuy = False rebuy_mode_stakes = self.rebuy_mode_stakes_futures if self.is_futures_mode else self.rebuy_mode_stakes_spot max_sub_grinds = len(rebuy_mode_stakes) rebuy_mode_sub_thresholds = ( self.rebuy_mode_thresholds_futures if self.is_futures_mode else self.rebuy_mode_thresholds_spot ) partial_sell = False sub_grind_count = 0 total_amount = 0.0 total_cost = 0.0 current_open_rate = 0.0 current_grind_stake = 0.0 current_grind_stake_profit = 0.0 for order in reversed(filled_orders): if (order.ft_order_side == "buy") and (order is not filled_orders[0]): sub_grind_count += 1 total_amount += order.safe_filled total_cost += order.safe_filled * order.safe_price elif order.ft_order_side == "sell": if (order.safe_remaining * exit_rate / (trade.leverage if self.is_futures_mode else 1.0)) > min_stake: partial_sell = True break if sub_grind_count > 0: current_open_rate = total_cost / total_amount current_grind_stake = total_amount * exit_rate * (1 - trade.fee_close) current_grind_stake_profit = current_grind_stake - total_cost if (not partial_sell) and (sub_grind_count < max_sub_grinds): if ( ((0 <= sub_grind_count < max_sub_grinds) and (slice_profit_entry < rebuy_mode_sub_thresholds[sub_grind_count])) and (last_candle["protections_short_global"] == True) and (last_candle["protections_short_rebuy"] == True) and (last_candle["global_protections_short_pump"] == True) and (last_candle["global_protections_short_dump"] == True) # and ( # (last_candle["close"] < (last_candle["close_min_12"] * 1.06)) # and (last_candle["close"] < (last_candle["close_min_24"] * 1.08)) # and (last_candle["close"] < (last_candle["close_min_48"] * 1.10)) # and (last_candle["close"] < (last_candle["low_min_24_1h"] * 1.12)) # and (last_candle["close"] < (last_candle["low_min_48_1h"] * 1.14)) # and (last_candle["btc_pct_close_min_72_5m"] > 0.03) # and (last_candle["btc_pct_close_min_24_5m"] > 0.03) # ) and ( (last_candle["RSI_3"] < 90.0) and (last_candle["RSI_3_15m"] < 90.0) and (last_candle["RSI_3_1h"] < 90.0) and (last_candle["RSI_3_4h"] < 90.0) and (last_candle["RSI_14"] > 64.0) and (last_candle["close"] > (last_candle["EMA_26"] * 1.012)) ) ): buy_amount = ( slice_amount * rebuy_mode_stakes[sub_grind_count] / (trade.leverage if self.is_futures_mode else 1.0) ) if buy_amount > max_stake: buy_amount = max_stake if buy_amount < (min_stake * 1.5): buy_amount = min_stake * 1.5 self.dp.send_msg( f"Rebuy (r) [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Rebuy (r) [{current_time}] [{trade.pair}] | Rate: {current_rate} | Stake amount: {buy_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) if has_order_tags: return buy_amount, "r" else: return buy_amount if profit_stake < ( slice_amount * (self.rebuy_mode_derisk_futures if self.is_futures_mode else self.rebuy_mode_derisk_spot) # / (trade.leverage if self.is_futures_mode else 1.0) ): sell_amount = trade.amount * exit_rate / trade.leverage - (min_stake * 1.55) ft_sell_amount = sell_amount * trade.leverage * (trade.stake_amount / trade.amount) / exit_rate if sell_amount > min_stake and ft_sell_amount > min_stake: grind_profit = 0.0 self.dp.send_msg( f"Rebuy de-risk (d1) [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) log.info( f"Rebuy de-risk (d1) [{current_time}] [{trade.pair}] | Rate: {exit_rate} | Stake amount: {sell_amount} | Profit (stake): {profit_stake} | Profit: {(profit_ratio * 100.0):.2f}%" ) if has_order_tags: return -ft_sell_amount, "d1" else: return -ft_sell_amount return None ############################################################################################### # SHORT GRIND FUNCTIONS ENDS HERE ############################################################################################### # +---------------------------------------------------------------------------+ # | Custom Indicators | # +---------------------------------------------------------------------------+ # Range midpoint acts as Support # --------------------------------------------------------------------------------------------- def is_support(row_data) -> bool: conditions = [] for row in range(len(row_data) - 1): if row < len(row_data) // 2: conditions.append(row_data[row] > row_data[row + 1]) else: conditions.append(row_data[row] < row_data[row + 1]) result = reduce(lambda x, y: x & y, conditions) return result # Range midpoint acts as Resistance # --------------------------------------------------------------------------------------------- def is_resistance(row_data) -> bool: conditions = [] for row in range(len(row_data) - 1): if row < len(row_data) // 2: conditions.append(row_data[row] < row_data[row + 1]) else: conditions.append(row_data[row] > row_data[row + 1]) result = reduce(lambda x, y: x & y, conditions) return result # Elliot Wave Oscillator # --------------------------------------------------------------------------------------------- def ewo(df, ema1_length=5, ema2_length=35): ema1 = ta.EMA(df, timeperiod=ema1_length) ema2 = ta.EMA(df, timeperiod=ema2_length) emadiff = (ema1 - ema2) / df["close"] * 100.0 return emadiff # Pivot Points - 3 variants - daily recommended # --------------------------------------------------------------------------------------------- def pivot_points(df: DataFrame, mode="fibonacci") -> Series: if mode == "simple": hlc3_pivot = (df["high"] + df["low"] + df["close"]).shift(1) / 3 res1 = hlc3_pivot * 2 - df["low"].shift(1) sup1 = hlc3_pivot * 2 - df["high"].shift(1) res2 = hlc3_pivot + (df["high"] - df["low"]).shift() sup2 = hlc3_pivot - (df["high"] - df["low"]).shift() res3 = hlc3_pivot * 2 + (df["high"] - 2 * df["low"]).shift() sup3 = hlc3_pivot * 2 - (2 * df["high"] - df["low"]).shift() return hlc3_pivot, res1, res2, res3, sup1, sup2, sup3 elif mode == "fibonacci": hlc3_pivot = (df["high"] + df["low"] + df["close"]).shift(1) / 3 hl_range = (df["high"] - df["low"]).shift(1) res1 = hlc3_pivot + 0.382 * hl_range sup1 = hlc3_pivot - 0.382 * hl_range res2 = hlc3_pivot + 0.618 * hl_range sup2 = hlc3_pivot - 0.618 * hl_range res3 = hlc3_pivot + 1 * hl_range sup3 = hlc3_pivot - 1 * hl_range return hlc3_pivot, res1, res2, res3, sup1, sup2, sup3 elif mode == "DeMark": demark_pivot_lt = df["low"] * 2 + df["high"] + df["close"] demark_pivot_eq = df["close"] * 2 + df["low"] + df["high"] demark_pivot_gt = df["high"] * 2 + df["low"] + df["close"] demark_pivot = np.where( (df["close"] < df["open"]), demark_pivot_lt, np.where((df["close"] > df["open"]), demark_pivot_gt, demark_pivot_eq), ) dm_pivot = demark_pivot / 4 dm_res = demark_pivot / 2 - df["low"] dm_sup = demark_pivot / 2 - df["high"] return dm_pivot, dm_res, dm_sup # Heikin Ashi candles # --------------------------------------------------------------------------------------------- def heikin_ashi(df, smooth_inputs=False, smooth_outputs=False, length=10): df = df[["open", "close", "high", "low"]].copy().fillna(0) if smooth_inputs: df["open_s"] = ta.EMA(df["open"], timeframe=length) df["high_s"] = ta.EMA(df["high"], timeframe=length) df["low_s"] = ta.EMA(df["low"], timeframe=length) df["close_s"] = ta.EMA(df["close"], timeframe=length) open_ha = (df["open_s"].shift(1) + df["close_s"].shift(1)) / 2 high_ha = df.loc[:, ["high_s", "open_s", "close_s"]].max(axis=1) low_ha = df.loc[:, ["low_s", "open_s", "close_s"]].min(axis=1) close_ha = (df["open_s"] + df["high_s"] + df["low_s"] + df["close_s"]) / 4 else: open_ha = (df["open"].shift(1) + df["close"].shift(1)) / 2 high_ha = df.loc[:, ["high", "open", "close"]].max(axis=1) low_ha = df.loc[:, ["low", "open", "close"]].min(axis=1) close_ha = (df["open"] + df["high"] + df["low"] + df["close"]) / 4 open_ha = open_ha.fillna(0) high_ha = high_ha.fillna(0) low_ha = low_ha.fillna(0) close_ha = close_ha.fillna(0) if smooth_outputs: open_sha = ta.EMA(open_ha, timeframe=length) high_sha = ta.EMA(high_ha, timeframe=length) low_sha = ta.EMA(low_ha, timeframe=length) close_sha = ta.EMA(close_ha, timeframe=length) return open_sha, close_sha, low_sha else: return open_ha, close_ha, low_ha # Peak Percentage Change # --------------------------------------------------------------------------------------------- def range_percent_change(self, df: DataFrame, method, length: int) -> float: """ Rolling Percentage Change Maximum across interval. :param df: DataFrame The original OHLC df :param method: High to Low / Open to Close :param length: int The length to look back """ if method == "HL": return (df["high"].rolling(length).max() - df["low"].rolling(length).min()) / df["low"].rolling(length).min() elif method == "OC": return (df["open"].rolling(length).max() - df["close"].rolling(length).min()) / df["close"].rolling(length).min() else: raise ValueError(f"Method {method} not defined!") # Percentage distance to top peak # --------------------------------------------------------------------------------------------- def top_percent_change(self, df: DataFrame, length: int) -> float: """ Percentage change of the current close from the range maximum Open price :param df: DataFrame The original OHLC df :param length: int The length to look back """ if length == 0: return (df["open"] - df["close"]) / df["close"] else: return (df["open"].rolling(length).max() - df["close"]) / df["close"] # +---------------------------------------------------------------------------+ # | Classes | # +---------------------------------------------------------------------------+ # Cache Class # --------------------------------------------------------------------------------------------- class Cache: def __init__(self, path): self.path = path self.data = {} self._mtime = None self._previous_data = {} try: self.load() except FileNotFoundError: pass @staticmethod def rapidjson_load_kwargs(): return {"number_mode": rapidjson.NM_NATIVE, "parse_mode": rapidjson.PM_COMMENTS | rapidjson.PM_TRAILING_COMMAS} @staticmethod def rapidjson_dump_kwargs(): return {"number_mode": rapidjson.NM_NATIVE} def load(self): if not self._mtime or self.path.stat().st_mtime_ns != self._mtime: self._load() def save(self): if self.data != self._previous_data: self._save() def process_loaded_data(self, data): return data def _load(self): # This method only exists to simplify unit testing with self.path.open("r") as rfh: try: data = rapidjson.load(rfh, **self.rapidjson_load_kwargs()) except rapidjson.JSONDecodeError as exc: log.error("Failed to load JSON from %s: %s", self.path, exc) else: self.data = self.process_loaded_data(data) self._previous_data = copy.deepcopy(self.data) self._mtime = self.path.stat().st_mtime_ns def _save(self): # This method only exists to simplify unit testing rapidjson.dump(self.data, self.path.open("w"), **self.rapidjson_dump_kwargs()) self._mtime = self.path.stat().st_mtime self._previous_data = copy.deepcopy(self.data) class HoldsCache(Cache): @staticmethod def rapidjson_load_kwargs(): return { "number_mode": rapidjson.NM_NATIVE, "parse_mode": rapidjson.PM_COMMENTS | rapidjson.PM_TRAILING_COMMAS, "object_hook": HoldsCache._object_hook, } @staticmethod def rapidjson_dump_kwargs(): return { "number_mode": rapidjson.NM_NATIVE, "mapping_mode": rapidjson.MM_COERCE_KEYS_TO_STRINGS, } def save(self): raise RuntimeError("The holds cache does not allow programatical save") def process_loaded_data(self, data): trade_ids = data.get("trade_ids") trade_pairs = data.get("trade_pairs") if not trade_ids and not trade_pairs: return data open_trades = {} for trade in Trade.get_trades_proxy(is_open=True): open_trades[trade.id] = open_trades[trade.pair] = trade r_trade_ids = {} if trade_ids: if isinstance(trade_ids, dict): # New syntax for trade_id, profit_ratio in trade_ids.items(): if not isinstance(trade_id, int): log.error("The trade_id(%s) defined under 'trade_ids' in %s is not an integer", trade_id, self.path) continue if not isinstance(profit_ratio, float): log.error( "The 'profit_ratio' config value(%s) for trade_id %s in %s is not a float", profit_ratio, trade_id, self.path, ) if trade_id in open_trades: formatted_profit_ratio = f"{profit_ratio * 100}%" log.warning( "The trade %s is configured to HOLD until the profit ratio of %s is met", open_trades[trade_id], formatted_profit_ratio, ) r_trade_ids[trade_id] = profit_ratio else: log.warning( "The trade_id(%s) is no longer open. Please remove it from 'trade_ids' in %s", trade_id, self.path, ) else: # Initial Syntax profit_ratio = data.get("profit_ratio") if profit_ratio: if not isinstance(profit_ratio, float): log.error("The 'profit_ratio' config value(%s) in %s is not a float", profit_ratio, self.path) else: profit_ratio = 0.005 formatted_profit_ratio = f"{profit_ratio * 100}%" for trade_id in trade_ids: if not isinstance(trade_id, int): log.error("The trade_id(%s) defined under 'trade_ids' in %s is not an integer", trade_id, self.path) continue if trade_id in open_trades: log.warning( "The trade %s is configured to HOLD until the profit ratio of %s is met", open_trades[trade_id], formatted_profit_ratio, ) r_trade_ids[trade_id] = profit_ratio else: log.warning( "The trade_id(%s) is no longer open. Please remove it from 'trade_ids' in %s", trade_id, self.path, ) r_trade_pairs = {} if trade_pairs: for trade_pair, profit_ratio in trade_pairs.items(): if not isinstance(trade_pair, str): log.error("The trade_pair(%s) defined under 'trade_pairs' in %s is not a string", trade_pair, self.path) continue if "/" not in trade_pair: log.error( "The trade_pair(%s) defined under 'trade_pairs' in %s does not look like " "a valid '/' formatted pair.", trade_pair, self.path, ) continue if not isinstance(profit_ratio, float): log.error( "The 'profit_ratio' config value(%s) for trade_pair %s in %s is not a float", profit_ratio, trade_pair, self.path, ) formatted_profit_ratio = f"{profit_ratio * 100}%" if trade_pair in open_trades: log.warning( "The trade %s is configured to HOLD until the profit ratio of %s is met", open_trades[trade_pair], formatted_profit_ratio, ) else: log.warning( "The trade pair %s is configured to HOLD until the profit ratio of %s is met", trade_pair, formatted_profit_ratio, ) r_trade_pairs[trade_pair] = profit_ratio r_data = {} if r_trade_ids: r_data["trade_ids"] = r_trade_ids if r_trade_pairs: r_data["trade_pairs"] = r_trade_pairs return r_data @staticmethod def _object_hook(data): _data = {} for key, value in data.items(): try: key = int(key) except ValueError: pass _data[key] = value return _data