import freqtrade.vendor.qtpylib.indicators as qtpylib import numpy as np import talib.abstract as ta from freqtrade.strategy.interface import IStrategy from freqtrade.strategy import (merge_informative_pair, DecimalParameter, IntParameter, CategoricalParameter) from pandas import DataFrame, Series from functools import reduce from freqtrade.persistence import Trade from datetime import datetime ########################################################################################################### ## NostalgiaForInfinityV6 by iterativ ## ## ## ## Strategy for Freqtrade https://github.com/freqtrade/freqtrade ## ## ## ########################################################################################################### ## GENERAL RECOMMENDATIONS ## ## ## ## For optimal performance, suggested to use between 4 and 6 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_sell_signal must set to true (or not set at all). ## ## sell_profit_only must set to false (or not set at all). ## ## ignore_roi_if_buy_signal must set to true (or not set at all). ## ## ## ########################################################################################################### ## DONATIONS ## ## ## ## Absolutely not required. However, will be accepted as a token of appreciation. ## ## ## ## BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk ## ## ETH (ERC20): 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91 ## ## BEP20/BSC (ETH, BNB, ...): 0x86A0B21a20b39d16424B7c8003E4A7e12d78ABEe ## ## ## ########################################################################################################### class Combined_NFIv6_SMA(IStrategy): INTERFACE_VERSION = 2 # # ROI table: minimal_roi = { "0": 10, } stoploss = -0.99 # Trailing stoploss (not used) trailing_stop = True trailing_only_offset_is_reached = True trailing_stop_positive = 0.005 trailing_stop_positive_offset = 0.03 use_custom_stoploss = False # Optimal timeframe for the strategy. timeframe = '5m' inf_1h = '1h' # 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_sell_signal = True sell_profit_only = False ignore_roi_if_buy_signal = True # Number of candles the strategy requires before producing valid signals startup_candle_count: int = 400 # Optional order type mapping. order_types = { 'buy': 'limit', 'sell': 'limit', 'trailing_stop_loss': 'limit', 'stoploss': 'limit', 'stoploss_on_exchange': False } ############################################################# buy_params = { ############# # Enable/Disable conditions "buy_condition_1_enable": True, "buy_condition_2_enable": True, "buy_condition_3_enable": True, "buy_condition_4_enable": True, "buy_condition_5_enable": False, #False "buy_condition_6_enable": True, "buy_condition_7_enable": True, "buy_condition_8_enable": True, "buy_condition_9_enable": True, "buy_condition_10_enable": True, "buy_condition_11_enable": True, "buy_condition_12_enable": True, "buy_condition_13_enable": True, "buy_condition_14_enable": True, "buy_condition_15_enable": False, #False "buy_condition_16_enable": True, "buy_condition_17_enable": True, "buy_condition_18_enable": True, "buy_condition_19_enable": True, "buy_condition_20_enable": True, "buy_condition_21_enable": True, "buy_condition_22_enable": True, "buy_condition_23_enable": True, "buy_condition_24_enable": True, ############# } sell_params = { ############# # Enable/Disable conditions "sell_condition_1_enable": True, "sell_condition_2_enable": True, "sell_condition_3_enable": True, "sell_condition_4_enable": True, "sell_condition_5_enable": True, "sell_condition_6_enable": True, "sell_condition_7_enable": True, "sell_condition_8_enable": True, ############# } ############################################################# buy_condition_1_enable = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_01_protection__ema_fast = CategoricalParameter([True, False], default=True, space='buy', optimize=True, load=True) buy_01_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="26", space='buy', optimize=True, load=True) buy_01_protection__ema_slow = CategoricalParameter([True, False], default=True, space='buy', optimize=True, load=True) buy_01_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=True, load=True) buy_01_protection__close_above_ema_fast = CategoricalParameter([True, False], default=True, space='buy', optimize=True, load=True) buy_01_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_01_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=True, load=True) buy_01_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_01_protection__sma200_rising = CategoricalParameter([True, False], default=True, space='buy', optimize=True, load=True) buy_01_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="36", space='buy', optimize=True, load=True) buy_01_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=True, load=True) buy_01_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=True, load=True) buy_01_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=True, load=True) buy_01_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=True, load=True) buy_01_protection__safe_pump = CategoricalParameter([True, False], default=True, space='buy', optimize=True, load=True) buy_01_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="loose", space='buy', optimize=True, load=True) buy_01_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=True, load=True) buy_condition_2_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_02_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_02_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_02_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_02_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_02_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_02_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_02_protection__ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_02_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_02_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_02_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_02_protection__safe_pump = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_02_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_02_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_02_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_02_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_02_protection__sma200_1h_rising = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_02_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_condition_3_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_03_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_03_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_03_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_03_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_03_protection__ema_fast = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_03_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True) buy_03_protection__ema_slow = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_03_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True) buy_03_protection__safe_dips = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_03_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_03_protection__safe_pump = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_03_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="loose", space='buy', optimize=False, load=True) buy_03_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True) buy_03_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_03_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_03_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_03_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_condition_4_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_04_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_04_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_04_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_04_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_04_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_04_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_04_protection__ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_04_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_04_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_04_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_04_protection__safe_pump = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_04_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_04_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="48", space='buy', optimize=False, load=True) buy_04_protection__sma200_rising = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_04_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_04_protection__sma200_1h_rising = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_04_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="20", space='buy', optimize=False, load=True) buy_condition_5_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_05_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_05_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="100", space='buy', optimize=False, load=True) buy_05_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_05_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_05_protection__ema_fast = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_05_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True) buy_05_protection__ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_05_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_05_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_05_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="loose", space='buy', optimize=False, load=True) buy_05_protection__safe_pump = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_05_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_05_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True) buy_05_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_05_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_05_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_05_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_condition_6_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_06_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_06_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_06_protection__ema_slow = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_06_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True) buy_06_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_06_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_06_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_06_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_06_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_06_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_06_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_06_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_06_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_06_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_06_protection__safe_pump = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_06_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_06_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True) buy_condition_7_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_07_protection__ema_fast = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_07_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True) buy_07_protection__ema_slow = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_07_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_07_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_07_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_07_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_07_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_07_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_07_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_07_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_07_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_07_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_07_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_07_protection__safe_pump = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_07_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_07_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_8_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_08_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_08_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_08_protection__ema_slow = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_08_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_08_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_08_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_08_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_08_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_08_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_08_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_08_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_08_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_08_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_08_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="loose", space='buy', optimize=False, load=True) buy_08_protection__safe_pump = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_08_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="loose", space='buy', optimize=False, load=True) buy_08_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_9_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_09_protection__ema_fast = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_09_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True) buy_09_protection__ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_09_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_09_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_09_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_09_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_09_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_09_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_09_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_09_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_09_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_09_protection__safe_dips = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_09_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_09_protection__safe_pump = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_09_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_09_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_10_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_10_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_10_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_10_protection__ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_10_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_10_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_10_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_10_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_10_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_10_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_10_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_10_protection__sma200_1h_rising = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_10_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="24", space='buy', optimize=False, load=True) buy_10_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_10_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="loose", space='buy', optimize=False, load=True) buy_10_protection__safe_pump = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_10_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_10_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_11_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_11_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_11_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_11_protection__ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_11_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_11_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_11_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_11_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_11_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_11_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_11_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_11_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_11_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_11_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_11_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="loose", space='buy', optimize=False, load=True) buy_11_protection__safe_pump = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_11_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_11_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_12_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_12_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_12_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_12_protection__ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_12_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_12_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_12_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_12_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_12_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_12_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_12_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_12_protection__sma200_1h_rising = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_12_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="24", space='buy', optimize=False, load=True) buy_12_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_12_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_12_protection__safe_pump = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_12_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_12_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_13_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_13_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_13_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_13_protection__ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_13_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_13_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_13_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_13_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_13_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_13_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_13_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_13_protection__sma200_1h_rising = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_13_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="24", space='buy', optimize=False, load=True) buy_13_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_13_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_13_protection__safe_pump = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_13_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_13_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_14_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_14_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_14_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_14_protection__ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_14_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_14_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_14_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_14_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_14_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_14_protection__sma200_rising = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_14_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True) buy_14_protection__sma200_1h_rising = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_14_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_14_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_14_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_14_protection__safe_pump = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_14_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_14_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_15_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_15_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_15_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_15_protection__ema_slow = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_15_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_15_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_15_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_15_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_15_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_15_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_15_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_15_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_15_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_15_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_15_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_15_protection__safe_pump = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_15_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_15_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True) buy_condition_16_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_16_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_16_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_16_protection__ema_slow = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_16_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_16_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_16_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_16_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_16_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="50", space='buy', optimize=False, load=True) buy_16_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_16_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_16_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_16_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_16_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_16_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_16_protection__safe_pump = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_16_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_16_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_17_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_17_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_17_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_17_protection__ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_17_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_17_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_17_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_17_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_17_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_17_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_17_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_17_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_17_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_17_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_17_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_17_protection__safe_pump = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_17_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="loose", space='buy', optimize=False, load=True) buy_17_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_18_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_18_protection__ema_fast = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_18_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True) buy_18_protection__ema_slow = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_18_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_18_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_18_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_18_protection__close_above_ema_slow = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_18_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_18_protection__sma200_rising = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_18_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="44", space='buy', optimize=False, load=True) buy_18_protection__sma200_1h_rising = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_18_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="72", space='buy', optimize=False, load=True) buy_18_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_18_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_18_protection__safe_pump = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_18_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_18_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_19_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_19_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_19_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_19_protection__ema_slow = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_19_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True) buy_19_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_19_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_19_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_19_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_19_protection__sma200_rising = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_19_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="36", space='buy', optimize=False, load=True) buy_19_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_19_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_19_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_19_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_19_protection__safe_pump = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_19_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_19_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_20_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_20_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_20_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_20_protection__ema_slow = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_20_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_20_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_20_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_20_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_20_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_20_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_20_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_20_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_20_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_20_protection__safe_dips = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_20_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_20_protection__safe_pump = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_20_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_20_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_21_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_21_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_21_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_21_protection__ema_slow = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_21_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_21_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_21_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_21_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_21_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_21_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_21_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_21_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_21_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_21_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_21_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_21_protection__safe_pump = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_21_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_21_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_22_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_22_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_22_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_22_protection__ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_22_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_22_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_22_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_22_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_22_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_22_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_22_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_22_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_22_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_22_protection__safe_dips = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_22_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=False, load=True) buy_22_protection__safe_pump = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_22_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_22_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_23_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_23_protection__ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_23_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_23_protection__ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_23_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True) buy_23_protection__close_above_ema_fast = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_23_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True) buy_23_protection__close_above_ema_slow = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_23_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True) buy_23_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_23_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_23_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_23_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True) buy_23_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_23_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="loose", space='buy', optimize=False, load=True) buy_23_protection__safe_pump = CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) buy_23_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=False, load=True) buy_23_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True) buy_condition_24_enable = CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) buy_24_protection__ema_fast = CategoricalParameter([True, False], default=True, space='buy', optimize=True, load=True) buy_24_protection__ema_fast_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=True, load=True) buy_24_protection__ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=True, load=True) buy_24_protection__ema_slow_len = CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=True, load=True) buy_24_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='buy', optimize=True, load=True) buy_24_protection__close_above_ema_fast_len = CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=True, load=True) buy_24_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='buy', optimize=True, load=True) buy_24_protection__close_above_ema_slow_len = CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=True, load=True) buy_24_protection__sma200_rising = CategoricalParameter([True, False], default=True, space='buy', optimize=True, load=True) buy_24_protection__sma200_rising_val = CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=True, load=True) buy_24_protection__sma200_1h_rising = CategoricalParameter([True, False], default=True, space='buy', optimize=True, load=True) buy_24_protection__sma200_1h_rising_val = CategoricalParameter(["20","30","36","44","50"], default="36", space='buy', optimize=True, load=True) buy_24_protection__safe_dips = CategoricalParameter([True, False], default=True, space='buy', optimize=True, load=True) buy_24_protection__safe_dips_type = CategoricalParameter(["strict","normal","loose"], default="strict", space='buy', optimize=True, load=True) buy_24_protection__safe_pump = CategoricalParameter([True, False], default=False, space='buy', optimize=True, load=True) buy_24_protection__safe_pump_type = CategoricalParameter(["strict","normal","loose"], default="normal", space='buy', optimize=True, load=True) buy_24_protection__safe_pump_period = CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=True, load=True) # Normal dips buy_dip_threshold_1 = DecimalParameter(0.001, 0.05, default=0.02, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_2 = DecimalParameter(0.01, 0.2, default=0.14, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_3 = DecimalParameter(0.05, 0.4, default=0.32, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_4 = DecimalParameter(0.2, 0.5, default=0.5, space='buy', decimals=3, optimize=False, load=True) # Strict dips buy_dip_threshold_5 = DecimalParameter(0.001, 0.05, default=0.015, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_6 = DecimalParameter(0.01, 0.2, default=0.1, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_7 = DecimalParameter(0.05, 0.4, default=0.24, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_8 = DecimalParameter(0.2, 0.5, default=0.42, space='buy', decimals=3, optimize=False, load=True) # Loose dips buy_dip_threshold_9 = DecimalParameter(0.001, 0.05, default=0.026, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_10 = DecimalParameter(0.01, 0.2, default=0.24, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_11 = DecimalParameter(0.05, 0.4, default=0.42, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_12 = DecimalParameter(0.2, 0.5, default=0.8, space='buy', decimals=3, optimize=False, load=True) # 24 hours buy_pump_pull_threshold_1 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_1 = DecimalParameter(0.4, 1.0, default=0.6, space='buy', decimals=3, optimize=False, load=True) # 36 hours buy_pump_pull_threshold_2 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_2 = DecimalParameter(0.4, 1.0, default=0.64, space='buy', decimals=3, optimize=False, load=True) # 48 hours buy_pump_pull_threshold_3 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_3 = DecimalParameter(0.4, 1.0, default=0.85, space='buy', decimals=3, optimize=False, load=True) # 24 hours strict buy_pump_pull_threshold_4 = DecimalParameter(1.5, 3.0, default=2.2, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_4 = DecimalParameter(0.4, 1.0, default=0.42, space='buy', decimals=3, optimize=False, load=True) # 36 hours strict buy_pump_pull_threshold_5 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_5 = DecimalParameter(0.4, 1.0, default=0.58, space='buy', decimals=3, optimize=False, load=True) # 48 hours strict buy_pump_pull_threshold_6 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_6 = DecimalParameter(0.4, 1.0, default=0.8, space='buy', decimals=3, optimize=False, load=True) # 24 hours loose buy_pump_pull_threshold_7 = DecimalParameter(1.5, 3.0, default=1.7, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_7 = DecimalParameter(0.4, 1.0, default=0.66, space='buy', decimals=3, optimize=False, load=True) # 36 hours loose buy_pump_pull_threshold_8 = DecimalParameter(1.5, 3.0, default=1.7, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_8 = DecimalParameter(0.4, 1.0, default=0.7, space='buy', decimals=3, optimize=False, load=True) # 48 hours loose buy_pump_pull_threshold_9 = DecimalParameter(1.3, 2.0, default=1.4, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_9 = DecimalParameter(0.4, 1.8, default=1.6, space='buy', decimals=3, optimize=False, load=True) buy_min_inc_1 = DecimalParameter(0.01, 0.05, default=0.022, space='buy', decimals=3, optimize=False, load=True) buy_rsi_1h_min_1 = DecimalParameter(25.0, 40.0, default=30.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_max_1 = DecimalParameter(70.0, 90.0, default=84.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1 = DecimalParameter(20.0, 40.0, default=36.0, space='buy', decimals=1, optimize=False, load=True) buy_mfi_1 = DecimalParameter(20.0, 40.0, default=36.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_min_2 = DecimalParameter(30.0, 40.0, default=32.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_max_2 = DecimalParameter(70.0, 95.0, default=84.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_diff_2 = DecimalParameter(30.0, 50.0, default=39.0, space='buy', decimals=1, optimize=False, load=True) buy_mfi_2 = DecimalParameter(30.0, 56.0, default=49.0, space='buy', decimals=1, optimize=False, load=True) buy_bb_offset_2 = DecimalParameter(0.97, 0.999, default=0.983, space='buy', decimals=3, optimize=False, load=True) buy_bb40_bbdelta_close_3 = DecimalParameter(0.005, 0.06, default=0.057, space='buy', optimize=False, load=True) buy_bb40_closedelta_close_3 = DecimalParameter(0.01, 0.03, default=0.023, space='buy', optimize=False, load=True) buy_bb40_tail_bbdelta_3 = DecimalParameter(0.15, 0.45, default=0.418, space='buy', optimize=False, load=True) buy_ema_rel_3 = DecimalParameter(0.97, 0.999, default=0.986, space='buy', decimals=3, optimize=False, load=True) buy_bb20_close_bblowerband_4 = DecimalParameter(0.96, 0.99, default=0.979, space='buy', optimize=False, load=True) buy_bb20_volume_4 = DecimalParameter(1.0, 20.0, default=10.0, space='buy', decimals=2, optimize=False, load=True) buy_ema_open_mult_5 = DecimalParameter(0.016, 0.03, default=0.018, space='buy', decimals=3, optimize=False, load=True) buy_bb_offset_5 = DecimalParameter(0.98, 1.0, default=0.996, space='buy', decimals=3, optimize=False, load=True) buy_ema_rel_5 = DecimalParameter(0.97, 0.999, default=0.982, space='buy', decimals=3, optimize=False, load=True) buy_ema_open_mult_6 = DecimalParameter(0.02, 0.03, default=0.024, space='buy', decimals=3, optimize=False, load=True) buy_bb_offset_6 = DecimalParameter(0.98, 0.999, default=0.984, space='buy', decimals=3, optimize=False, load=True) buy_ema_open_mult_7 = DecimalParameter(0.02, 0.04, default=0.03, space='buy', decimals=3, optimize=False, load=True) buy_rsi_7 = DecimalParameter(24.0, 50.0, default=36.0, space='buy', decimals=1, optimize=False, load=True) buy_volume_8 = DecimalParameter(1.0, 6.0, default=2.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_8 = DecimalParameter(16.0, 30.0, default=20.0, space='buy', decimals=1, optimize=False, load=True) buy_tail_diff_8 = DecimalParameter(3.0, 10.0, default=3.5, space='buy', decimals=1, optimize=False, load=True) buy_ma_offset_9 = DecimalParameter(0.91, 0.94, default=0.922, space='buy', decimals=3, optimize=False, load=True) buy_bb_offset_9 = DecimalParameter(0.96, 0.98, default=0.965, space='buy', decimals=3, optimize=False, load=True) buy_rsi_1h_min_9 = DecimalParameter(26.0, 40.0, default=30.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_max_9 = DecimalParameter(70.0, 90.0, default=88.0, space='buy', decimals=1, optimize=False, load=True) buy_mfi_9 = DecimalParameter(36.0, 56.0, default=50.0, space='buy', decimals=1, optimize=False, load=True) buy_ma_offset_10 = DecimalParameter(0.93, 0.97, default=0.948, space='buy', decimals=3, optimize=False, load=True) buy_bb_offset_10 = DecimalParameter(0.97, 0.99, default=0.994, space='buy', decimals=3, optimize=False, load=True) buy_rsi_1h_10 = DecimalParameter(20.0, 40.0, default=37.0, space='buy', decimals=1, optimize=False, load=True) buy_ma_offset_11 = DecimalParameter(0.93, 0.99, default=0.939, space='buy', decimals=3, optimize=False, load=True) buy_min_inc_11 = DecimalParameter(0.005, 0.05, default=0.01, space='buy', decimals=3, optimize=False, load=True) buy_rsi_1h_min_11 = DecimalParameter(40.0, 60.0, default=56.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_max_11 = DecimalParameter(70.0, 90.0, default=84.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_11 = DecimalParameter(34.0, 50.0, default=48.0, space='buy', decimals=1, optimize=False, load=True) buy_mfi_11 = DecimalParameter(30.0, 46.0, default=36.0, space='buy', decimals=1, optimize=False, load=True) buy_ma_offset_12 = DecimalParameter(0.93, 0.97, default=0.922, space='buy', decimals=3, optimize=False, load=True) buy_rsi_12 = DecimalParameter(26.0, 40.0, default=30.0, space='buy', decimals=1, optimize=False, load=True) buy_ewo_12 = DecimalParameter(1.0, 6.0, default=1.8, space='buy', decimals=1, optimize=False, load=True) buy_ma_offset_13 = DecimalParameter(0.93, 0.98, default=0.99, space='buy', decimals=3, optimize=False, load=True) buy_ewo_13 = DecimalParameter(-14.0, -7.0, default=-11.8, space='buy', decimals=1, optimize=False, load=True) buy_ema_open_mult_14 = DecimalParameter(0.01, 0.03, default=0.014, space='buy', decimals=3, optimize=False, load=True) buy_bb_offset_14 = DecimalParameter(0.98, 1.0, default=0.988, space='buy', decimals=3, optimize=False, load=True) buy_ma_offset_14 = DecimalParameter(0.93, 0.99, default=0.98, space='buy', decimals=3, optimize=False, load=True) buy_ema_open_mult_15 = DecimalParameter(0.01, 0.03, default=0.018, space='buy', decimals=3, optimize=False, load=True) buy_ma_offset_15 = DecimalParameter(0.93, 0.99, default=0.954, space='buy', decimals=3, optimize=False, load=True) buy_rsi_15 = DecimalParameter(20.0, 36.0, default=28.0, space='buy', decimals=1, optimize=False, load=True) buy_ema_rel_15 = DecimalParameter(0.97, 0.999, default=0.988, space='buy', decimals=3, optimize=False, load=True) buy_ma_offset_16 = DecimalParameter(0.93, 0.97, default=0.952, space='buy', decimals=3, optimize=False, load=True) buy_rsi_16 = DecimalParameter(26.0, 50.0, default=31.0, space='buy', decimals=1, optimize=False, load=True) buy_ewo_16 = DecimalParameter(2.0, 6.0, default=2.8, space='buy', decimals=1, optimize=False, load=True) buy_ma_offset_17 = DecimalParameter(0.93, 0.98, default=0.952, space='buy', decimals=3, optimize=False, load=True) buy_ewo_17 = DecimalParameter(-18.0, -10.0, default=-12.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_18 = DecimalParameter(16.0, 32.0, default=26.0, space='buy', decimals=1, optimize=False, load=True) buy_bb_offset_18 = DecimalParameter(0.98, 1.0, default=0.982, space='buy', decimals=3, optimize=False, load=True) buy_rsi_1h_min_19 = DecimalParameter(40.0, 70.0, default=50.0, space='buy', decimals=1, optimize=False, load=True) buy_chop_min_19 = DecimalParameter(20.0, 60.0, default=24.1, space='buy', decimals=1, optimize=False, load=True) buy_rsi_20 = DecimalParameter(20.0, 36.0, default=27.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_20 = DecimalParameter(14.0, 30.0, default=20.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_21 = DecimalParameter(10.0, 28.0, default=23.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_21 = DecimalParameter(18.0, 40.0, default=24.0, space='buy', decimals=1, optimize=False, load=True) buy_volume_22 = DecimalParameter(0.5, 6.0, default=3.0, space='buy', decimals=1, optimize=False, load=True) buy_bb_offset_22 = DecimalParameter(0.98, 1.0, default=0.98, space='buy', decimals=3, optimize=False, load=True) buy_ma_offset_22 = DecimalParameter(0.93, 0.98, default=0.94, space='buy', decimals=3, optimize=False, load=True) buy_ewo_22 = DecimalParameter(2.0, 10.0, default=4.2, space='buy', decimals=1, optimize=False, load=True) buy_rsi_22 = DecimalParameter(26.0, 56.0, default=37.0, space='buy', decimals=1, optimize=False, load=True) buy_bb_offset_23 = DecimalParameter(0.97, 1.0, default=0.987, space='buy', decimals=3, optimize=False, load=True) buy_ewo_23 = DecimalParameter(2.0, 10.0, default=7.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_23 = DecimalParameter(20.0, 40.0, default=30.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_23 = DecimalParameter(60.0, 80.0, default=70.0, space='buy', decimals=1, optimize=False, load=True) buy_24_rsi_max = DecimalParameter(26.0, 60.0, default=60.0, space='buy', decimals=1, optimize=True, load=True) buy_24_rsi_1h_min = DecimalParameter(40.0, 90.0, default=66.9, space='buy', decimals=1, optimize=True, load=True) # Sell sell_condition_1_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_condition_2_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_condition_3_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_condition_4_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_condition_5_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_condition_6_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_condition_7_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_condition_8_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_rsi_bb_1 = DecimalParameter(60.0, 80.0, default=79.5, space='sell', decimals=1, optimize=False, load=True) sell_rsi_bb_2 = DecimalParameter(72.0, 90.0, default=81, space='sell', decimals=1, optimize=False, load=True) sell_rsi_main_3 = DecimalParameter(77.0, 90.0, default=82, space='sell', decimals=1, optimize=False, load=True) sell_dual_rsi_rsi_4 = DecimalParameter(72.0, 84.0, default=73.4, space='sell', decimals=1, optimize=False, load=True) sell_dual_rsi_rsi_1h_4 = DecimalParameter(78.0, 92.0, default=79.6, space='sell', decimals=1, optimize=False, load=True) sell_ema_relative_5 = DecimalParameter(0.005, 0.05, default=0.024, space='sell', optimize=False, load=True) sell_rsi_diff_5 = DecimalParameter(0.0, 20.0, default=4.4, space='sell', optimize=False, load=True) sell_rsi_under_6 = DecimalParameter(72.0, 90.0, default=79.0, space='sell', decimals=1, optimize=False, load=True) sell_rsi_1h_7 = DecimalParameter(80.0, 95.0, default=81.7, space='sell', decimals=1, optimize=False, load=True) sell_bb_relative_8 = DecimalParameter(1.05, 1.3, default=1.1, space='sell', decimals=3, optimize=False, load=True) sell_custom_profit_0 = DecimalParameter(0.01, 0.1, default=0.01, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_0 = DecimalParameter(30.0, 40.0, default=33.0, space='sell', decimals=3, optimize=False, load=True) sell_custom_profit_1 = DecimalParameter(0.01, 0.1, default=0.02, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_1 = DecimalParameter(30.0, 50.0, default=34.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_2 = DecimalParameter(0.01, 0.1, default=0.03, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_2 = DecimalParameter(30.0, 50.0, default=38.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_3 = DecimalParameter(0.01, 0.1, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_3 = DecimalParameter(30.0, 50.0, default=42.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_4 = DecimalParameter(0.01, 0.1, default=0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_4 = DecimalParameter(35.0, 50.0, default=43.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_5 = DecimalParameter(0.01, 0.1, default=0.06, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_5 = DecimalParameter(35.0, 50.0, default=44.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_6 = DecimalParameter(0.01, 0.1, default=0.07, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_6 = DecimalParameter(38.0, 55.0, default=49.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_7 = DecimalParameter(0.01, 0.1, default=0.08, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_7 = DecimalParameter(40.0, 58.0, default=54.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_8 = DecimalParameter(0.06, 0.1, default=0.09, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_8 = DecimalParameter(40.0, 50.0, default=54.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_9 = DecimalParameter(0.05, 0.14, default=0.1, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_9 = DecimalParameter(40.0, 60.0, default=50.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_10 = DecimalParameter(0.1, 0.14, default=0.12, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_10 = DecimalParameter(38.0, 50.0, default=42.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_11 = DecimalParameter(0.16, 0.45, default=0.20, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_11 = DecimalParameter(28.0, 40.0, default=34.0, space='sell', decimals=2, optimize=False, load=True) # Profit under EMA200 sell_custom_under_profit_0 = DecimalParameter(0.01, 0.4, default=0.01, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_0 = DecimalParameter(28.0, 40.0, default=33.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_1 = DecimalParameter(0.01, 0.10, default=0.02, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_1 = DecimalParameter(36.0, 60.0, default=56.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_2 = DecimalParameter(0.01, 0.10, default=0.03, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_2 = DecimalParameter(46.0, 66.0, default=57.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_3 = DecimalParameter(0.01, 0.10, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_3 = DecimalParameter(50.0, 68.0, default=58.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_4 = DecimalParameter(0.02, 0.1, default=0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_4 = DecimalParameter(50.0, 68.0, default=59.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_5 = DecimalParameter(0.02, 0.1, default=0.06, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_5 = DecimalParameter(46.0, 62.0, default=58.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_6 = DecimalParameter(0.03, 0.1, default=0.07, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_6 = DecimalParameter(44.0, 60.0, default=56.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_7 = DecimalParameter(0.04, 0.1, default=0.08, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_7 = DecimalParameter(46.0, 60.0, default=54.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_8 = DecimalParameter(0.06, 0.12, default=0.09, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_8 = DecimalParameter(40.0, 58.0, default=50.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_9 = DecimalParameter(0.08, 0.14, default=0.1, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_9 = DecimalParameter(32.0, 48.0, default=44.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_10 = DecimalParameter(0.1, 0.16, default=0.12, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_10 = DecimalParameter(30.0, 50.0, default=42.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_11 = DecimalParameter(0.16, 0.3, default=0.2, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_11 = DecimalParameter(24.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True) # Profit targets for pumped pairs 48h 1 sell_custom_pump_profit_1_1 = DecimalParameter(0.01, 0.03, default=0.01, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_1_1 = DecimalParameter(26.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_1_2 = DecimalParameter(0.01, 0.6, default=0.02, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_1_2 = DecimalParameter(36.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_1_3 = DecimalParameter(0.02, 0.10, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_1_3 = DecimalParameter(38.0, 50.0, default=42.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_1_4 = DecimalParameter(0.06, 0.12, default=0.1, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_1_4 = DecimalParameter(36.0, 48.0, default=42.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_1_5 = DecimalParameter(0.14, 0.24, default=0.2, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_1_5 = DecimalParameter(20.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True) # Profit targets for pumped pairs 36h 1 sell_custom_pump_profit_2_1 = DecimalParameter(0.01, 0.03, default=0.01, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_2_1 = DecimalParameter(26.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_2_2 = DecimalParameter(0.01, 0.6, default=0.02, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_2_2 = DecimalParameter(36.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_2_3 = DecimalParameter(0.02, 0.10, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_2_3 = DecimalParameter(38.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_2_4 = DecimalParameter(0.06, 0.12, default=0.1, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_2_4 = DecimalParameter(36.0, 48.0, default=42.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_2_5 = DecimalParameter(0.14, 0.24, default=0.2, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_2_5 = DecimalParameter(20.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True) # Profit targets for pumped pairs 24h 1 sell_custom_pump_profit_3_1 = DecimalParameter(0.01, 0.03, default=0.01, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_3_1 = DecimalParameter(26.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_3_2 = DecimalParameter(0.01, 0.6, default=0.02, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_3_2 = DecimalParameter(34.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_3_3 = DecimalParameter(0.02, 0.10, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_3_3 = DecimalParameter(38.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_3_4 = DecimalParameter(0.06, 0.12, default=0.1, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_3_4 = DecimalParameter(36.0, 48.0, default=42.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_3_5 = DecimalParameter(0.14, 0.24, default=0.2, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_3_5 = DecimalParameter(20.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True) # SMA descending sell_custom_dec_profit_min_1 = DecimalParameter(0.01, 0.10, default=0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_dec_profit_max_1 = DecimalParameter(0.06, 0.16, default=0.12, space='sell', decimals=3, optimize=False, load=True) # Under EMA100 sell_custom_dec_profit_min_2 = DecimalParameter(0.05, 0.12, default=0.07, space='sell', decimals=3, optimize=False, load=True) sell_custom_dec_profit_max_2 = DecimalParameter(0.06, 0.2, default=0.16, space='sell', decimals=3, optimize=False, load=True) # Trail 1 sell_trail_profit_min_1 = DecimalParameter(0.1, 0.2, default=0.16, space='sell', decimals=2, optimize=False, load=True) sell_trail_profit_max_1 = DecimalParameter(0.4, 0.7, default=0.6, space='sell', decimals=2, optimize=False, load=True) sell_trail_down_1 = DecimalParameter(0.01, 0.08, default=0.03, space='sell', decimals=3, optimize=False, load=True) sell_trail_rsi_min_1 = DecimalParameter(16.0, 36.0, default=20.0, space='sell', decimals=1, optimize=False, load=True) sell_trail_rsi_max_1 = DecimalParameter(30.0, 50.0, default=50.0, space='sell', decimals=1, optimize=False, load=True) # Trail 2 sell_trail_profit_min_2 = DecimalParameter(0.08, 0.16, default=0.1, space='sell', decimals=3, optimize=False, load=True) sell_trail_profit_max_2 = DecimalParameter(0.3, 0.5, default=0.4, space='sell', decimals=2, optimize=False, load=True) sell_trail_down_2 = DecimalParameter(0.02, 0.08, default=0.03, space='sell', decimals=3, optimize=False, load=True) sell_trail_rsi_min_2 = DecimalParameter(16.0, 36.0, default=20.0, space='sell', decimals=1, optimize=False, load=True) sell_trail_rsi_max_2 = DecimalParameter(30.0, 50.0, default=50.0, space='sell', decimals=1, optimize=False, load=True) # Trail 3 sell_trail_profit_min_3 = DecimalParameter(0.01, 0.12, default=0.06, space='sell', decimals=3, optimize=False, load=True) sell_trail_profit_max_3 = DecimalParameter(0.1, 0.3, default=0.2, space='sell', decimals=2, optimize=False, load=True) sell_trail_down_3 = DecimalParameter(0.01, 0.06, default=0.05, space='sell', decimals=3, optimize=False, load=True) # Under & near EMA200, accept profit sell_custom_profit_under_rel_1 = DecimalParameter(0.01, 0.04, default=0.024, space='sell', optimize=False, load=True) sell_custom_profit_under_rsi_diff_1 = DecimalParameter(0.0, 20.0, default=4.4, space='sell', optimize=False, load=True) # Under & near EMA200, take the loss sell_custom_stoploss_under_rel_1 = DecimalParameter(0.001, 0.02, default=0.004, space='sell', optimize=False, load=True) sell_custom_stoploss_under_rsi_diff_1 = DecimalParameter(0.0, 20.0, default=8.0, space='sell', optimize=False, load=True) # 48h for pump sell checks sell_pump_threshold_1 = DecimalParameter(0.5, 1.2, default=0.9, space='sell', decimals=2, optimize=False, load=True) sell_pump_threshold_2 = DecimalParameter(0.4, 0.9, default=0.7, space='sell', decimals=2, optimize=False, load=True) sell_pump_threshold_3 = DecimalParameter(0.3, 0.7, default=0.5, space='sell', decimals=2, optimize=False, load=True) # 36h for pump sell checks sell_pump_threshold_4 = DecimalParameter(0.5, 0.9, default=0.72, space='sell', decimals=2, optimize=False, load=True) sell_pump_threshold_5 = DecimalParameter(3.0, 6.0, default=4.0, space='sell', decimals=2, optimize=False, load=True) sell_pump_threshold_6 = DecimalParameter(0.8, 1.6, default=1.0, space='sell', decimals=2, optimize=False, load=True) # 24h for pump sell checks sell_pump_threshold_7 = DecimalParameter(0.5, 0.9, default=0.68, space='sell', decimals=2, optimize=False, load=True) sell_pump_threshold_8 = DecimalParameter(0.3, 0.6, default=0.62, space='sell', decimals=2, optimize=False, load=True) sell_pump_threshold_9 = DecimalParameter(0.2, 0.5, default=0.3, space='sell', decimals=2, optimize=False, load=True) # Pumped, descending SMA sell_custom_pump_dec_profit_min_1 = DecimalParameter(0.001, 0.04, default=0.005, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_dec_profit_max_1 = DecimalParameter(0.03, 0.08, default=0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_dec_profit_min_2 = DecimalParameter(0.01, 0.08, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_dec_profit_max_2 = DecimalParameter(0.04, 0.1, default=0.06, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_dec_profit_min_3 = DecimalParameter(0.02, 0.1, default=0.06, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_dec_profit_max_3 = DecimalParameter(0.06, 0.12, default=0.09, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_dec_profit_min_4 = DecimalParameter(0.01, 0.05, default=0.02, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_dec_profit_max_4 = DecimalParameter(0.02, 0.1, default=0.04, space='sell', decimals=3, optimize=False, load=True) # Pumped 48h 1, under EMA200 sell_custom_pump_under_profit_min_1 = DecimalParameter(0.02, 0.06, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_under_profit_max_1 = DecimalParameter(0.04, 0.1, default=0.09, space='sell', decimals=3, optimize=False, load=True) # Pumped trail 1 sell_custom_pump_trail_profit_min_1 = DecimalParameter(0.01, 0.12, default=0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_trail_profit_max_1 = DecimalParameter(0.06, 0.16, default=0.07, space='sell', decimals=2, optimize=False, load=True) sell_custom_pump_trail_down_1 = DecimalParameter(0.01, 0.06, default=0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_trail_rsi_min_1 = DecimalParameter(16.0, 36.0, default=20.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_trail_rsi_max_1 = DecimalParameter(30.0, 50.0, default=70.0, space='sell', decimals=1, optimize=False, load=True) # Stoploss, pumped, 48h 1 sell_custom_stoploss_pump_max_profit_1 = DecimalParameter(0.01, 0.04, default=0.025, space='sell', decimals=3, optimize=False, load=True) sell_custom_stoploss_pump_min_1 = DecimalParameter(-0.1, -0.01, default=-0.02, space='sell', decimals=3, optimize=False, load=True) sell_custom_stoploss_pump_max_1 = DecimalParameter(-0.1, -0.01, default=-0.01, space='sell', decimals=3, optimize=False, load=True) sell_custom_stoploss_pump_ma_offset_1 = DecimalParameter(0.7, 0.99, default=0.94, space='sell', decimals=2, optimize=False, load=True) # Stoploss, pumped, 48h 1 sell_custom_stoploss_pump_max_profit_2 = DecimalParameter(0.01, 0.04, default=0.025, space='sell', decimals=3, optimize=False, load=True) sell_custom_stoploss_pump_loss_2 = DecimalParameter(-0.1, -0.01, default=-0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_stoploss_pump_ma_offset_2 = DecimalParameter(0.7, 0.99, default=0.92, space='sell', decimals=2, optimize=False, load=True) # Stoploss, pumped, 36h 3 sell_custom_stoploss_pump_max_profit_3 = DecimalParameter(0.01, 0.04, default=0.008, space='sell', decimals=3, optimize=False, load=True) sell_custom_stoploss_pump_loss_3 = DecimalParameter(-0.16, -0.06, default=-0.12, space='sell', decimals=3, optimize=False, load=True) sell_custom_stoploss_pump_ma_offset_3 = DecimalParameter(0.7, 0.99, default=0.88, space='sell', decimals=2, optimize=False, load=True) ############################################################# def get_ticker_indicator(self): return int(self.timeframe[:-1]) def custom_sell(self, pair: str, trade: 'Trade', current_time: 'datetime', current_rate: float, current_profit: float, **kwargs): dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) last_candle = dataframe.iloc[-1].squeeze() max_profit = ((trade.max_rate - trade.open_rate) / trade.open_rate) if (last_candle is not None): if (current_profit > self.sell_custom_profit_11.value) & (last_candle['rsi'] < self.sell_custom_rsi_11.value): return 'signal_profit_11' if (self.sell_custom_profit_11.value > current_profit > self.sell_custom_profit_10.value) & (last_candle['rsi'] < self.sell_custom_rsi_10.value): return 'signal_profit_10' if (self.sell_custom_profit_10.value > current_profit > self.sell_custom_profit_9.value) & (last_candle['rsi'] < self.sell_custom_rsi_9.value): return 'signal_profit_9' if (self.sell_custom_profit_9.value > current_profit > self.sell_custom_profit_8.value) & (last_candle['rsi'] < self.sell_custom_rsi_8.value): return 'signal_profit_8' if (self.sell_custom_profit_8.value > current_profit > self.sell_custom_profit_7.value) & (last_candle['rsi'] < self.sell_custom_rsi_7.value): return 'signal_profit_7' if (self.sell_custom_profit_7.value > current_profit > self.sell_custom_profit_6.value) & (last_candle['rsi'] < self.sell_custom_rsi_6.value): return 'signal_profit_6' if (self.sell_custom_profit_6.value > current_profit > self.sell_custom_profit_5.value) & (last_candle['rsi'] < self.sell_custom_rsi_5.value): return 'signal_profit_5' elif (self.sell_custom_profit_5.value > current_profit > self.sell_custom_profit_4.value) & (last_candle['rsi'] < self.sell_custom_rsi_4.value): return 'signal_profit_4' elif (self.sell_custom_profit_4.value > current_profit > self.sell_custom_profit_3.value) & (last_candle['rsi'] < self.sell_custom_rsi_3.value): return 'signal_profit_3' elif (self.sell_custom_profit_3.value > current_profit > self.sell_custom_profit_2.value) & (last_candle['rsi'] < self.sell_custom_rsi_2.value): return 'signal_profit_2' elif (self.sell_custom_profit_2.value > current_profit > self.sell_custom_profit_1.value) & (last_candle['rsi'] < self.sell_custom_rsi_1.value): return 'signal_profit_1' elif (self.sell_custom_profit_1.value > current_profit > self.sell_custom_profit_0.value) & (last_candle['rsi'] < self.sell_custom_rsi_0.value): return 'signal_profit_0' # check if close is under EMA200 elif (current_profit > self.sell_custom_under_profit_11.value) & (last_candle['rsi'] < self.sell_custom_under_rsi_11.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_11' elif (self.sell_custom_under_profit_11.value > current_profit > self.sell_custom_under_profit_10.value) & (last_candle['rsi'] < self.sell_custom_under_rsi_10.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_10' elif (self.sell_custom_under_profit_10.value > current_profit > self.sell_custom_under_profit_9.value) & (last_candle['rsi'] < self.sell_custom_under_rsi_9.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_9' elif (self.sell_custom_under_profit_9.value > current_profit > self.sell_custom_under_profit_8.value) & (last_candle['rsi'] < self.sell_custom_under_rsi_8.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_8' elif (self.sell_custom_under_profit_8.value > current_profit > self.sell_custom_under_profit_7.value) & (last_candle['rsi'] < self.sell_custom_under_rsi_7.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_7' elif (self.sell_custom_under_profit_7.value > current_profit > self.sell_custom_under_profit_6.value) & (last_candle['rsi'] < self.sell_custom_under_rsi_6.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_6' elif (self.sell_custom_under_profit_6.value > current_profit > self.sell_custom_under_profit_5.value) & (last_candle['rsi'] < self.sell_custom_under_rsi_5.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_5' elif (self.sell_custom_under_profit_5.value > current_profit > self.sell_custom_under_profit_4.value) & (last_candle['rsi'] < self.sell_custom_under_rsi_4.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_4' elif (self.sell_custom_under_profit_4.value > current_profit > self.sell_custom_under_profit_3.value) & (last_candle['rsi'] < self.sell_custom_under_rsi_3.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_3' elif (self.sell_custom_under_profit_3.value > current_profit > self.sell_custom_under_profit_2.value) & (last_candle['rsi'] < self.sell_custom_under_rsi_2.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_2' elif (self.sell_custom_under_profit_2.value > current_profit > self.sell_custom_under_profit_1.value) & (last_candle['rsi'] < self.sell_custom_under_rsi_1.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_1' elif (self.sell_custom_under_profit_1.value > current_profit > self.sell_custom_under_profit_0.value) & (last_candle['rsi'] < self.sell_custom_under_rsi_0.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_0' # check if the pair is "pumped" elif (last_candle['sell_pump_48_1_1h']) & (current_profit > self.sell_custom_pump_profit_1_5.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_1_5.value): return 'signal_profit_p_1_5' elif (last_candle['sell_pump_48_1_1h']) & (self.sell_custom_pump_profit_1_5.value > current_profit > self.sell_custom_pump_profit_1_4.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_1_4.value): return 'signal_profit_p_1_4' elif (last_candle['sell_pump_48_1_1h']) & (self.sell_custom_pump_profit_1_4.value > current_profit > self.sell_custom_pump_profit_1_3.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_1_3.value): return 'signal_profit_p_1_3' elif (last_candle['sell_pump_48_1_1h']) & (self.sell_custom_pump_profit_1_3.value > current_profit > self.sell_custom_pump_profit_1_2.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_1_2.value): return 'signal_profit_p_1_2' elif (last_candle['sell_pump_48_1_1h']) & (self.sell_custom_pump_profit_1_2.value > current_profit > self.sell_custom_pump_profit_1_1.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_1_1.value): return 'signal_profit_p_1_1' elif (last_candle['sell_pump_36_1_1h']) & (current_profit > self.sell_custom_pump_profit_2_5.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_2_5.value): return 'signal_profit_p_2_5' elif (last_candle['sell_pump_36_1_1h']) & (self.sell_custom_pump_profit_2_5.value > current_profit > self.sell_custom_pump_profit_2_4.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_2_4.value): return 'signal_profit_p_2_4' elif (last_candle['sell_pump_36_1_1h']) & (self.sell_custom_pump_profit_2_4.value > current_profit > self.sell_custom_pump_profit_2_3.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_2_3.value): return 'signal_profit_p_2_3' elif (last_candle['sell_pump_36_1_1h']) & (self.sell_custom_pump_profit_2_3.value > current_profit > self.sell_custom_pump_profit_2_2.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_2_2.value): return 'signal_profit_p_2_2' elif (last_candle['sell_pump_36_1_1h']) & (self.sell_custom_pump_profit_2_2.value > current_profit > self.sell_custom_pump_profit_2_1.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_2_1.value): return 'signal_profit_p_2_1' elif (last_candle['sell_pump_24_1_1h']) & (current_profit > self.sell_custom_pump_profit_3_5.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_3_5.value): return 'signal_profit_p_3_5' elif (last_candle['sell_pump_24_1_1h']) & (self.sell_custom_pump_profit_3_5.value > current_profit > self.sell_custom_pump_profit_3_4.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_3_4.value): return 'signal_profit_p_3_4' elif (last_candle['sell_pump_24_1_1h']) & (self.sell_custom_pump_profit_3_4.value > current_profit > self.sell_custom_pump_profit_3_3.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_3_3.value): return 'signal_profit_p_3_3' elif (last_candle['sell_pump_24_1_1h']) & (self.sell_custom_pump_profit_3_3.value > current_profit > self.sell_custom_pump_profit_3_2.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_3_2.value): return 'signal_profit_p_3_2' elif (last_candle['sell_pump_24_1_1h']) & (self.sell_custom_pump_profit_3_2.value > current_profit > self.sell_custom_pump_profit_3_1.value) & (last_candle['rsi'] < self.sell_custom_pump_rsi_3_1.value): return 'signal_profit_p_3_1' elif (self.sell_custom_dec_profit_max_1.value > current_profit > self.sell_custom_dec_profit_min_1.value) & (last_candle['sma_200_dec']): return 'signal_profit_d_1' elif (self.sell_custom_dec_profit_max_2.value > current_profit > self.sell_custom_dec_profit_min_2.value) & (last_candle['close'] < last_candle['ema_100']): return 'signal_profit_d_2' # Trailing elif (self.sell_trail_profit_max_1.value > current_profit > self.sell_trail_profit_min_1.value) & (self.sell_trail_rsi_min_1.value < last_candle['rsi'] < self.sell_trail_rsi_max_1.value) & (max_profit > (current_profit + self.sell_trail_down_1.value)): return 'signal_profit_t_1' elif (self.sell_trail_profit_max_2.value > current_profit > self.sell_trail_profit_min_2.value) & (self.sell_trail_rsi_min_2.value < last_candle['rsi'] < self.sell_trail_rsi_max_2.value) & (max_profit > (current_profit + self.sell_trail_down_2.value)): return 'signal_profit_t_2' elif (self.sell_trail_profit_max_3.value > current_profit > self.sell_trail_profit_min_3.value) & (max_profit > (current_profit + self.sell_trail_down_3.value)) & (last_candle['sma_200_dec_1h']): return 'signal_profit_t_3' elif (last_candle['close'] < last_candle['ema_200']) & (current_profit > self.sell_trail_profit_min_3.value) & (current_profit < self.sell_trail_profit_max_3.value) & (max_profit > (current_profit + self.sell_trail_down_3.value)): return 'signal_profit_u_t_1' elif (current_profit > 0.0) & (last_candle['close'] < last_candle['ema_200']) & (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.sell_custom_profit_under_rel_1.value) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.sell_custom_profit_under_rsi_diff_1.value): return 'signal_profit_u_e_1' elif (current_profit < -0.0) & (last_candle['close'] < last_candle['ema_200']) & (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.sell_custom_stoploss_under_rel_1.value) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.sell_custom_stoploss_under_rsi_diff_1.value): return 'signal_stoploss_u_1' elif (self.sell_custom_pump_dec_profit_max_1.value > current_profit > self.sell_custom_pump_dec_profit_min_1.value) & (last_candle['sell_pump_48_1_1h']) & (last_candle['sma_200_dec']) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_p_d_1' elif (self.sell_custom_pump_dec_profit_max_2.value > current_profit > self.sell_custom_pump_dec_profit_min_2.value) & (last_candle['sell_pump_48_2_1h']) & (last_candle['sma_200_dec']) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_p_d_2' elif (self.sell_custom_pump_dec_profit_max_3.value > current_profit > self.sell_custom_pump_dec_profit_min_3.value) & (last_candle['sell_pump_48_3_1h']) & (last_candle['sma_200_dec']) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_p_d_3' elif (self.sell_custom_pump_dec_profit_max_4.value > current_profit > self.sell_custom_pump_dec_profit_min_4.value) & (last_candle['sma_200_dec']) & (last_candle['sell_pump_24_2_1h']): return 'signal_profit_p_d_4' # Pumped 48h 1, under EMA200 elif (self.sell_custom_pump_under_profit_max_1.value > current_profit > self.sell_custom_pump_under_profit_min_1.value) & (last_candle['sell_pump_48_1_1h']) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_p_u_1' # Pumped 36h 2, trail 1 elif (last_candle['sell_pump_36_2_1h']) & (self.sell_custom_pump_trail_profit_max_1.value > current_profit > self.sell_custom_pump_trail_profit_min_1.value) & (self.sell_custom_pump_trail_rsi_min_1.value < last_candle['rsi'] < self.sell_custom_pump_trail_rsi_max_1.value) & (max_profit > (current_profit + self.sell_custom_pump_trail_down_1.value)): return 'signal_profit_p_t_1' elif (max_profit < self.sell_custom_stoploss_pump_max_profit_1.value) & (self.sell_custom_stoploss_pump_min_1.value < current_profit < self.sell_custom_stoploss_pump_max_1.value) & (last_candle['sell_pump_48_1_1h']) & (last_candle['sma_200_dec']) & (last_candle['close'] < (last_candle['ema_200'] * self.sell_custom_stoploss_pump_ma_offset_1.value)): return 'signal_stoploss_p_1' elif (max_profit < self.sell_custom_stoploss_pump_max_profit_2.value) & (current_profit < self.sell_custom_stoploss_pump_loss_2.value) & (last_candle['sell_pump_48_1_1h']) & (last_candle['sma_200_dec_1h']) & (last_candle['close'] < (last_candle['ema_200'] * self.sell_custom_stoploss_pump_ma_offset_2.value)): return 'signal_stoploss_p_2' elif (max_profit < self.sell_custom_stoploss_pump_max_profit_3.value) & (current_profit < self.sell_custom_stoploss_pump_loss_3.value) & (last_candle['sell_pump_36_3_1h']) & (last_candle['close'] < (last_candle['ema_200'] * self.sell_custom_stoploss_pump_ma_offset_3.value)): return 'signal_stoploss_p_3' return None def range_percent_change(self, dataframe: DataFrame, length: int) -> float: """ Rolling Percentage Change Maximum across interval. :param dataframe: DataFrame The original OHLC dataframe :param length: int The length to look back """ df = dataframe.copy() return ((df['open'].rolling(length).max() - df['close'].rolling(length).min()) / df['close'].rolling(length).min()) def range_maxgap(self, dataframe: DataFrame, length: int) -> float: """ Maximum Price Gap across interval. :param dataframe: DataFrame The original OHLC dataframe :param length: int The length to look back """ df = dataframe.copy() return (df['open'].rolling(length).max() - df['close'].rolling(length).min()) def range_maxgap_adjusted(self, dataframe: DataFrame, length: int, adjustment: float) -> float: """ Maximum Price Gap across interval adjusted. :param dataframe: DataFrame The original OHLC dataframe :param length: int The length to look back :param adjustment: int The adjustment to be applied """ return (self.range_maxgap(dataframe,length) / adjustment) def range_height(self, dataframe: DataFrame, length: int) -> float: """ Current close distance to range bottom. :param dataframe: DataFrame The original OHLC dataframe :param length: int The length to look back """ df = dataframe.copy() return (df['close'] - df['close'].rolling(length).min()) def safe_pump(self, dataframe: DataFrame, length: int, thresh: float, pull_thresh: float) -> bool: """ Determine if entry after a pump is safe. :param dataframe: DataFrame The original OHLC dataframe :param length: int The length to look back :param thresh: int Maximum percentage change threshold :param pull_thresh: int Pullback from interval maximum threshold """ df = dataframe.copy() return (self.range_percent_change(df, length) < thresh) | (self.range_maxgap_adjusted(df, length, pull_thresh) > self.range_height(df, length)) 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 = [(pair, '1h') for pair in pairs] return informative_pairs def informative_1h_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: assert self.dp, "DataProvider is required for multiple timeframes." # Get the informative pair informative_1h = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=self.inf_1h) informative_1h['ema_fast'] = ta.EMA(informative_1h, timeperiod=20) informative_1h['ema_slow'] = ta.EMA(informative_1h, timeperiod=25) informative_1h['uptrend'] = ( (informative_1h['ema_fast'] > informative_1h['ema_slow']) ).astype('int') hmao = qtpylib.hull_moving_average(informative_1h['close'], window=14) informative_1h['hma_fast']=hmao hmah = qtpylib.hull_moving_average(informative_1h['close'], window=24) informative_1h['hma_slow']=hmah # EMA informative_1h['ema_12'] = ta.EMA(informative_1h, timeperiod=12) informative_1h['ema_15'] = ta.EMA(informative_1h, timeperiod=15) informative_1h['ema_20'] = ta.EMA(informative_1h, timeperiod=20) informative_1h['ema_26'] = ta.EMA(informative_1h, timeperiod=26) informative_1h['ema_35'] = ta.EMA(informative_1h, timeperiod=35) informative_1h['ema_50'] = ta.EMA(informative_1h, timeperiod=50) informative_1h['ema_100'] = ta.EMA(informative_1h, timeperiod=100) informative_1h['ema_200'] = ta.EMA(informative_1h, timeperiod=200) # SMA informative_1h['sma_200'] = ta.SMA(informative_1h, timeperiod=200) informative_1h['sma_200_dec'] = informative_1h['sma_200'] < informative_1h['sma_200'].shift(20) # RSI informative_1h['rsi'] = ta.RSI(informative_1h, timeperiod=14) # BB bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(informative_1h), window=20, stds=2) informative_1h['bb_lowerband'] = bollinger['lower'] informative_1h['bb_middleband'] = bollinger['mid'] informative_1h['bb_upperband'] = bollinger['upper'] # Chaikin Money Flow informative_1h['cmf'] = chaikin_money_flow(informative_1h, 20) # Pump protections informative_1h['safe_pump_24_normal'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_1.value, self.buy_pump_pull_threshold_1.value) informative_1h['safe_pump_36_normal'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_2.value, self.buy_pump_pull_threshold_2.value) informative_1h['safe_pump_48_normal'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_3.value, self.buy_pump_pull_threshold_3.value) informative_1h['safe_pump_24_strict'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_4.value, self.buy_pump_pull_threshold_4.value) informative_1h['safe_pump_36_strict'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_5.value, self.buy_pump_pull_threshold_5.value) informative_1h['safe_pump_48_strict'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_6.value, self.buy_pump_pull_threshold_6.value) informative_1h['safe_pump_24_loose'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_7.value, self.buy_pump_pull_threshold_7.value) informative_1h['safe_pump_36_loose'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_8.value, self.buy_pump_pull_threshold_8.value) informative_1h['safe_pump_48_loose'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_9.value, self.buy_pump_pull_threshold_9.value) informative_1h['sell_pump_48_1'] = (((informative_1h['high'].rolling(48).max() - informative_1h['low'].rolling(48).min()) / informative_1h['low'].rolling(48).min()) > self.sell_pump_threshold_1.value) informative_1h['sell_pump_48_2'] = (((informative_1h['high'].rolling(48).max() - informative_1h['low'].rolling(48).min()) / informative_1h['low'].rolling(48).min()) > self.sell_pump_threshold_2.value) informative_1h['sell_pump_48_3'] = (((informative_1h['high'].rolling(48).max() - informative_1h['low'].rolling(48).min()) / informative_1h['low'].rolling(48).min()) > self.sell_pump_threshold_3.value) informative_1h['sell_pump_36_1'] = (((informative_1h['high'].rolling(36).max() - informative_1h['low'].rolling(36).min()) / informative_1h['low'].rolling(36).min()) > self.sell_pump_threshold_4.value) informative_1h['sell_pump_36_2'] = (((informative_1h['high'].rolling(36).max() - informative_1h['low'].rolling(36).min()) / informative_1h['low'].rolling(36).min()) > self.sell_pump_threshold_5.value) informative_1h['sell_pump_36_3'] = (((informative_1h['high'].rolling(36).max() - informative_1h['low'].rolling(36).min()) / informative_1h['low'].rolling(36).min()) > self.sell_pump_threshold_6.value) informative_1h['sell_pump_24_1'] = (((informative_1h['high'].rolling(24).max() - informative_1h['low'].rolling(24).min()) / informative_1h['low'].rolling(24).min()) > self.sell_pump_threshold_7.value) informative_1h['sell_pump_24_2'] = (((informative_1h['high'].rolling(24).max() - informative_1h['low'].rolling(24).min()) / informative_1h['low'].rolling(24).min()) > self.sell_pump_threshold_8.value) informative_1h['sell_pump_24_3'] = (((informative_1h['high'].rolling(24).max() - informative_1h['low'].rolling(24).min()) / informative_1h['low'].rolling(24).min()) > self.sell_pump_threshold_9.value) return informative_1h def normal_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: # BB 40 bb_40 = qtpylib.bollinger_bands(dataframe['close'], window=40, stds=2) dataframe['lower'] = bb_40['lower'] dataframe['mid'] = bb_40['mid'] dataframe['bbdelta'] = (bb_40['mid'] - dataframe['lower']).abs() dataframe['closedelta'] = (dataframe['close'] - dataframe['close'].shift()).abs() dataframe['tail'] = (dataframe['close'] - dataframe['low']).abs() # BB 20 bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2) dataframe['bb_lowerband'] = bollinger['lower'] dataframe['bb_middleband'] = bollinger['mid'] dataframe['bb_upperband'] = bollinger['upper'] dataframe['ma_lower'] = ta.SMA(dataframe, timeperiod=15) * 0.9528 dataframe['rsi_fast'] = ta.RSI(dataframe, timeperiod=4) dataframe['rsi_slow'] = ta.RSI(dataframe, timeperiod=20) dataframe['rsi_slow_descending'] = (dataframe['rsi_slow'] < dataframe['rsi_slow'].shift()).astype('int') # EMA 200 dataframe['ema_12'] = ta.EMA(dataframe, timeperiod=12) dataframe['ema_20'] = ta.EMA(dataframe, timeperiod=20) dataframe['ema_26'] = ta.EMA(dataframe, timeperiod=26) dataframe['ema_50'] = ta.EMA(dataframe, timeperiod=50) dataframe['ema_100'] = ta.EMA(dataframe, timeperiod=100) dataframe['ema_200'] = ta.EMA(dataframe, timeperiod=200) # SMA dataframe['sma_5'] = ta.SMA(dataframe, timeperiod=5) dataframe['sma_30'] = ta.SMA(dataframe, timeperiod=30) dataframe['sma_200'] = ta.SMA(dataframe, timeperiod=200) dataframe['sma_200_dec'] = dataframe['sma_200'] < dataframe['sma_200'].shift(20) # MFI dataframe['mfi'] = ta.MFI(dataframe) # EWO dataframe['ewo'] = EWO(dataframe, 50, 200) # RSI dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14) # Chopiness dataframe['chop']= qtpylib.chopiness(dataframe, 14) # Dip protection dataframe['safe_dips_normal'] = ((((dataframe['open'] - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_1.value) & (((dataframe['open'].rolling(2).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_2.value) & (((dataframe['open'].rolling(12).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_3.value) & (((dataframe['open'].rolling(144).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_4.value)) dataframe['safe_dips_strict'] = ((((dataframe['open'] - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_5.value) & (((dataframe['open'].rolling(2).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_6.value) & (((dataframe['open'].rolling(12).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_7.value) & (((dataframe['open'].rolling(144).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_8.value)) dataframe['safe_dips_loose'] = ((((dataframe['open'] - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_9.value) & (((dataframe['open'].rolling(2).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_10.value) & (((dataframe['open'].rolling(12).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_11.value) & (((dataframe['open'].rolling(144).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_12.value)) # Volume dataframe['volume_mean_4'] = dataframe['volume'].rolling(4).mean().shift(1) dataframe['volume_mean_30'] = dataframe['volume'].rolling(30).mean() return dataframe def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: # The indicators for the 1h informative timeframe informative_1h = self.informative_1h_indicators(dataframe, metadata) dataframe = merge_informative_pair(dataframe, informative_1h, self.timeframe, self.inf_1h, ffill=True) # The indicators for the normal (5m) timeframe dataframe = self.normal_tf_indicators(dataframe, metadata) return dataframe def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: conditions = [] conditions.append( ( (dataframe['rsi_slow_descending'].rolling(1).sum() == 1) & (dataframe['rsi_fast'] < 35) & (dataframe['uptrend_1h'] > 0) & (dataframe['close'] < dataframe['ma_lower']) & (dataframe['open'] > dataframe['ma_lower']) & (dataframe['volume'] > 0) & ( (dataframe['open']dataframe['ema_fast_1h']) & (dataframe['low'].abs()>dataframe['ema_fast_1h']) #& #( #(dataframe['open']dataframe['hma_fast_1h']) #& #(dataframe['low'].abs()>dataframe['hma_fast_1h']) ) #& #( #(dataframe['open']dataframe['ema_slow_1h']) #& #(dataframe['low'].abs()>dataframe['ema_slow_1h']) #) #) ) ) # Protections buy_01_protections = [True] if self.buy_01_protection__ema_fast.value: buy_01_protections.append(dataframe[f"ema_{self.buy_01_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_01_protection__ema_slow.value: buy_01_protections.append(dataframe[f"ema_{self.buy_01_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_01_protection__close_above_ema_fast.value: buy_01_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_01_protection__close_above_ema_fast_len.value}"]) if self.buy_01_protection__close_above_ema_slow.value: buy_01_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_01_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_01_protection__sma200_rising.value: buy_01_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_01_protection__sma200_rising_val.value))) if self.buy_01_protection__sma200_1h_rising.value: buy_01_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_01_protection__sma200_1h_rising_val.value))) if self.buy_01_protection__safe_dips.value: buy_01_protections.append(dataframe[f"safe_dips_{self.buy_01_protection__safe_dips_type.value}"]) if self.buy_01_protection__safe_pump.value: buy_01_protections.append(dataframe[f"safe_pump_{self.buy_01_protection__safe_pump_period.value}_{self.buy_01_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) # Logic buy_01_logic = [] buy_01_logic.append(reduce(lambda x, y: x & y, buy_01_protections)) buy_01_logic.append(((dataframe['close'] - dataframe['open'].rolling(36).min()) / dataframe['open'].rolling(36).min()) > self.buy_min_inc_1.value) buy_01_logic.append(dataframe['rsi_1h'] > self.buy_rsi_1h_min_1.value) buy_01_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_max_1.value) buy_01_logic.append(dataframe['rsi'] < self.buy_rsi_1.value) buy_01_logic.append(dataframe['mfi'] < self.buy_mfi_1.value) buy_01_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_01_trigger'] = reduce(lambda x, y: x & y, buy_01_logic) if self.buy_condition_1_enable.value: conditions.append(dataframe.loc[:, 'buy_01_trigger']) # Protections buy_02_protections = [True] if self.buy_02_protection__ema_fast.value: buy_02_protections.append(dataframe[f"ema_{self.buy_02_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_02_protection__ema_slow.value: buy_02_protections.append(dataframe[f"ema_{self.buy_02_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_02_protection__close_above_ema_fast.value: buy_02_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_02_protection__close_above_ema_fast_len.value}"]) if self.buy_02_protection__close_above_ema_slow.value: buy_02_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_02_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_02_protection__sma200_rising.value: buy_02_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_02_protection__sma200_rising_val.value))) if self.buy_02_protection__sma200_1h_rising.value: buy_02_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_02_protection__sma200_1h_rising_val.value))) if self.buy_02_protection__safe_dips.value: buy_02_protections.append(dataframe[f"safe_dips_{self.buy_02_protection__safe_dips_type.value}"]) if self.buy_02_protection__safe_pump.value: buy_02_protections.append(dataframe[f"safe_pump_{self.buy_02_protection__safe_pump_period.value}_{self.buy_02_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) # Logic buy_02_logic = [] buy_02_logic.append(reduce(lambda x, y: x & y, buy_02_protections)) #buy_02_logic.append(dataframe['volume_mean_4'] * self.buy_volume_2.value > dataframe['volume']) buy_02_logic.append(dataframe['rsi'] < dataframe['rsi_1h'] - self.buy_rsi_1h_diff_2.value) buy_02_logic.append(dataframe['mfi'] < self.buy_mfi_2.value) buy_02_logic.append(dataframe['close'] < (dataframe['bb_lowerband'] * self.buy_bb_offset_2.value)) buy_02_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_02_trigger'] = reduce(lambda x, y: x & y, buy_02_logic) if self.buy_condition_2_enable.value: conditions.append(dataframe.loc[:, 'buy_02_trigger']) # Protections buy_03_protections = [True] if self.buy_03_protection__ema_fast.value: buy_03_protections.append(dataframe[f"ema_{self.buy_03_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_03_protection__ema_slow.value: buy_03_protections.append(dataframe[f"ema_{self.buy_03_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_03_protection__close_above_ema_fast.value: buy_03_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_03_protection__close_above_ema_fast_len.value}"]) if self.buy_03_protection__close_above_ema_slow.value: buy_03_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_03_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_03_protection__sma200_rising.value: buy_03_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_03_protection__sma200_rising_val.value))) if self.buy_03_protection__sma200_1h_rising.value: buy_03_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_03_protection__sma200_1h_rising_val.value))) if self.buy_03_protection__safe_dips.value: buy_03_protections.append(dataframe[f"safe_dips_{self.buy_03_protection__safe_dips_type.value}"]) if self.buy_03_protection__safe_pump.value: buy_03_protections.append(dataframe[f"safe_pump_{self.buy_03_protection__safe_pump_period.value}_{self.buy_03_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) buy_03_protections.append(dataframe['close'] > (dataframe['ema_200_1h'] * self.buy_ema_rel_3.value)) # Logic buy_03_logic = [] buy_03_logic.append(reduce(lambda x, y: x & y, buy_03_protections)) buy_03_logic.append(dataframe['lower'].shift().gt(0)) buy_03_logic.append(dataframe['bbdelta'].gt(dataframe['close'] * self.buy_bb40_bbdelta_close_3.value)) buy_03_logic.append(dataframe['closedelta'].gt(dataframe['close'] * self.buy_bb40_closedelta_close_3.value)) buy_03_logic.append(dataframe['tail'].lt(dataframe['bbdelta'] * self.buy_bb40_tail_bbdelta_3.value)) buy_03_logic.append(dataframe['close'].lt(dataframe['lower'].shift())) buy_03_logic.append(dataframe['close'].le(dataframe['close'].shift())) buy_03_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_03_trigger'] = reduce(lambda x, y: x & y, buy_03_logic) if self.buy_condition_3_enable.value: conditions.append(dataframe.loc[:, 'buy_03_trigger']) # Protections buy_04_protections = [True] if self.buy_04_protection__ema_fast.value: buy_04_protections.append(dataframe[f"ema_{self.buy_04_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_04_protection__ema_slow.value: buy_04_protections.append(dataframe[f"ema_{self.buy_04_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_04_protection__close_above_ema_fast.value: buy_04_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_04_protection__close_above_ema_fast_len.value}"]) if self.buy_04_protection__close_above_ema_slow.value: buy_04_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_04_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_04_protection__sma200_rising.value: buy_04_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_04_protection__sma200_rising_val.value))) if self.buy_04_protection__sma200_1h_rising.value: buy_04_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_04_protection__sma200_1h_rising_val.value))) if self.buy_04_protection__safe_dips.value: buy_04_protections.append(dataframe[f"safe_dips_{self.buy_04_protection__safe_dips_type.value}"]) if self.buy_04_protection__safe_pump.value: buy_04_protections.append(dataframe[f"safe_pump_{self.buy_04_protection__safe_pump_period.value}_{self.buy_04_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) # Logic buy_04_logic = [] buy_04_logic.append(reduce(lambda x, y: x & y, buy_04_protections)) buy_04_logic.append(dataframe['close'] < dataframe['ema_50']) buy_04_logic.append(dataframe['close'] < self.buy_bb20_close_bblowerband_4.value * dataframe['bb_lowerband']) buy_04_logic.append(dataframe['volume'] < (dataframe['volume_mean_30'].shift(1) * self.buy_bb20_volume_4.value)) # Populate dataframe.loc[:, 'buy_04_trigger'] = reduce(lambda x, y: x & y, buy_04_logic) if self.buy_condition_4_enable.value: conditions.append(dataframe.loc[:, 'buy_04_trigger']) # Protections buy_05_protections = [True] if self.buy_05_protection__ema_fast.value: buy_05_protections.append(dataframe[f"ema_{self.buy_05_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_05_protection__ema_slow.value: buy_05_protections.append(dataframe[f"ema_{self.buy_05_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_05_protection__close_above_ema_fast.value: buy_05_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_05_protection__close_above_ema_fast_len.value}"]) if self.buy_05_protection__close_above_ema_slow.value: buy_05_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_05_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_05_protection__sma200_rising.value: buy_05_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_05_protection__sma200_rising_val.value))) if self.buy_05_protection__sma200_1h_rising.value: buy_05_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_05_protection__sma200_1h_rising_val.value))) if self.buy_05_protection__safe_dips.value: buy_05_protections.append(dataframe[f"safe_dips_{self.buy_05_protection__safe_dips_type.value}"]) if self.buy_05_protection__safe_pump.value: buy_05_protections.append(dataframe[f"safe_pump_{self.buy_05_protection__safe_pump_period.value}_{self.buy_05_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) buy_05_protections.append(dataframe['close'] > (dataframe['ema_200_1h'] * self.buy_ema_rel_5.value)) # Logic buy_05_logic = [] buy_05_logic.append(reduce(lambda x, y: x & y, buy_05_protections)) buy_05_logic.append(dataframe['ema_26'] > dataframe['ema_12']) buy_05_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_5.value)) buy_05_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) buy_05_logic.append(dataframe['close'] < (dataframe['bb_lowerband'] * self.buy_bb_offset_5.value)) buy_05_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_05_trigger'] = reduce(lambda x, y: x & y, buy_05_logic) if self.buy_condition_5_enable.value: conditions.append(dataframe.loc[:, 'buy_05_trigger']) # Protections buy_06_protections = [True] if self.buy_06_protection__ema_fast.value: buy_06_protections.append(dataframe[f"ema_{self.buy_06_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_06_protection__ema_slow.value: buy_06_protections.append(dataframe[f"ema_{self.buy_06_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_06_protection__close_above_ema_fast.value: buy_06_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_06_protection__close_above_ema_fast_len.value}"]) if self.buy_06_protection__close_above_ema_slow.value: buy_06_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_06_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_06_protection__sma200_rising.value: buy_06_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_06_protection__sma200_rising_val.value))) if self.buy_06_protection__sma200_1h_rising.value: buy_06_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_06_protection__sma200_1h_rising_val.value))) if self.buy_06_protection__safe_dips.value: buy_06_protections.append(dataframe[f"safe_dips_{self.buy_06_protection__safe_dips_type.value}"]) if self.buy_06_protection__safe_pump.value: buy_06_protections.append(dataframe[f"safe_pump_{self.buy_06_protection__safe_pump_period.value}_{self.buy_06_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) # Logic buy_06_logic = [] buy_06_logic.append(reduce(lambda x, y: x & y, buy_06_protections)) buy_06_logic.append(dataframe['ema_26'] > dataframe['ema_12']) buy_06_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_6.value)) buy_06_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) buy_06_logic.append(dataframe['close'] < (dataframe['bb_lowerband'] * self.buy_bb_offset_6.value)) buy_06_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_06_trigger'] = reduce(lambda x, y: x & y, buy_06_logic) if self.buy_condition_6_enable.value: conditions.append(dataframe.loc[:, 'buy_06_trigger']) # Protections buy_07_protections = [True] if self.buy_07_protection__ema_fast.value: buy_07_protections.append(dataframe[f"ema_{self.buy_07_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_07_protection__ema_slow.value: buy_07_protections.append(dataframe[f"ema_{self.buy_07_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_07_protection__close_above_ema_fast.value: buy_07_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_07_protection__close_above_ema_fast_len.value}"]) if self.buy_07_protection__close_above_ema_slow.value: buy_07_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_07_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_07_protection__sma200_rising.value: buy_07_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_07_protection__sma200_rising_val.value))) if self.buy_07_protection__sma200_1h_rising.value: buy_07_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_07_protection__sma200_1h_rising_val.value))) if self.buy_07_protection__safe_dips.value: buy_07_protections.append(dataframe[f"safe_dips_{self.buy_07_protection__safe_dips_type.value}"]) if self.buy_07_protection__safe_pump.value: buy_07_protections.append(dataframe[f"safe_pump_{self.buy_07_protection__safe_pump_period.value}_{self.buy_07_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) # Logic buy_07_logic = [] buy_07_logic.append(reduce(lambda x, y: x & y, buy_07_protections)) buy_07_logic.append(dataframe['ema_26'] > dataframe['ema_12']) buy_07_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_7.value)) buy_07_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) buy_07_logic.append(dataframe['rsi'] < self.buy_rsi_7.value) buy_07_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_07_trigger'] = reduce(lambda x, y: x & y, buy_07_logic) if self.buy_condition_7_enable.value: conditions.append(dataframe.loc[:, 'buy_07_trigger']) # Protections buy_08_protections = [True] if self.buy_08_protection__ema_fast.value: buy_08_protections.append(dataframe[f"ema_{self.buy_08_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_08_protection__ema_slow.value: buy_08_protections.append(dataframe[f"ema_{self.buy_08_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_08_protection__close_above_ema_fast.value: buy_08_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_08_protection__close_above_ema_fast_len.value}"]) if self.buy_08_protection__close_above_ema_slow.value: buy_08_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_08_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_08_protection__sma200_rising.value: buy_08_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_08_protection__sma200_rising_val.value))) if self.buy_08_protection__sma200_1h_rising.value: buy_08_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_08_protection__sma200_1h_rising_val.value))) if self.buy_08_protection__safe_dips.value: buy_08_protections.append(dataframe[f"safe_dips_{self.buy_08_protection__safe_dips_type.value}"]) if self.buy_08_protection__safe_pump.value: buy_08_protections.append(dataframe[f"safe_pump_{self.buy_08_protection__safe_pump_period.value}_{self.buy_08_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) # Logic buy_08_logic = [] buy_08_logic.append(reduce(lambda x, y: x & y, buy_08_protections)) buy_08_logic.append(dataframe['rsi'] < self.buy_rsi_8.value) buy_08_logic.append(dataframe['volume'] > (dataframe['volume'].shift(1) * self.buy_volume_8.value)) buy_08_logic.append(dataframe['close'] > dataframe['open']) buy_08_logic.append((dataframe['close'] - dataframe['low']) > ((dataframe['close'] - dataframe['open']) * self.buy_tail_diff_8.value)) buy_08_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_08_trigger'] = reduce(lambda x, y: x & y, buy_08_logic) if self.buy_condition_8_enable.value: conditions.append(dataframe.loc[:, 'buy_08_trigger']) # Protections buy_09_protections = [True] if self.buy_09_protection__ema_fast.value: buy_09_protections.append(dataframe[f"ema_{self.buy_09_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_09_protection__ema_slow.value: buy_09_protections.append(dataframe[f"ema_{self.buy_09_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_09_protection__close_above_ema_fast.value: buy_09_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_09_protection__close_above_ema_fast_len.value}"]) if self.buy_09_protection__close_above_ema_slow.value: buy_09_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_09_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_09_protection__sma200_rising.value: buy_09_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_09_protection__sma200_rising_val.value))) if self.buy_09_protection__sma200_1h_rising.value: buy_09_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_09_protection__sma200_1h_rising_val.value))) if self.buy_09_protection__safe_dips.value: buy_09_protections.append(dataframe[f"safe_dips_{self.buy_09_protection__safe_dips_type.value}"]) if self.buy_09_protection__safe_pump.value: buy_09_protections.append(dataframe[f"safe_pump_{self.buy_09_protection__safe_pump_period.value}_{self.buy_09_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) buy_09_protections.append(dataframe['ema_50'] > dataframe['ema_200']) # Logic buy_09_logic = [] buy_09_logic.append(reduce(lambda x, y: x & y, buy_09_protections)) buy_09_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_9.value) buy_09_logic.append(dataframe['close'] < dataframe['bb_lowerband'] * self.buy_bb_offset_9.value) buy_09_logic.append(dataframe['rsi_1h'] > self.buy_rsi_1h_min_9.value) buy_09_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_max_9.value) buy_09_logic.append(dataframe['mfi'] < self.buy_mfi_9.value) buy_09_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_09_trigger'] = reduce(lambda x, y: x & y, buy_09_logic) if self.buy_condition_9_enable.value: conditions.append(dataframe.loc[:, 'buy_09_trigger']) # Protections buy_10_protections = [True] if self.buy_10_protection__ema_fast.value: buy_10_protections.append(dataframe[f"ema_{self.buy_10_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_10_protection__ema_slow.value: buy_10_protections.append(dataframe[f"ema_{self.buy_10_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_10_protection__close_above_ema_fast.value: buy_10_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_10_protection__close_above_ema_fast_len.value}"]) if self.buy_10_protection__close_above_ema_slow.value: buy_10_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_10_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_10_protection__sma200_rising.value: buy_10_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_10_protection__sma200_rising_val.value))) if self.buy_10_protection__sma200_1h_rising.value: buy_10_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_10_protection__sma200_1h_rising_val.value))) if self.buy_10_protection__safe_dips.value: buy_10_protections.append(dataframe[f"safe_dips_{self.buy_10_protection__safe_dips_type.value}"]) if self.buy_10_protection__safe_pump.value: buy_10_protections.append(dataframe[f"safe_pump_{self.buy_10_protection__safe_pump_period.value}_{self.buy_10_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) buy_10_protections.append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) # Logic buy_10_logic = [] buy_10_logic.append(reduce(lambda x, y: x & y, buy_10_protections)) buy_10_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_10.value) buy_10_logic.append(dataframe['close'] < dataframe['bb_lowerband'] * self.buy_bb_offset_10.value) buy_10_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_10.value) buy_10_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_10_trigger'] = reduce(lambda x, y: x & y, buy_10_logic) if self.buy_condition_10_enable.value: conditions.append(dataframe.loc[:, 'buy_10_trigger']) # Protections buy_11_protections = [True] if self.buy_11_protection__ema_fast.value: buy_11_protections.append(dataframe[f"ema_{self.buy_11_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_11_protection__ema_slow.value: buy_11_protections.append(dataframe[f"ema_{self.buy_11_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_11_protection__close_above_ema_fast.value: buy_11_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_11_protection__close_above_ema_fast_len.value}"]) if self.buy_11_protection__close_above_ema_slow.value: buy_11_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_11_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_11_protection__sma200_rising.value: buy_11_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_11_protection__sma200_rising_val.value))) if self.buy_11_protection__sma200_1h_rising.value: buy_11_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_11_protection__sma200_1h_rising_val.value))) if self.buy_11_protection__safe_dips.value: buy_11_protections.append(dataframe[f"safe_dips_{self.buy_11_protection__safe_dips_type.value}"]) if self.buy_11_protection__safe_pump.value: buy_11_protections.append(dataframe[f"safe_pump_{self.buy_11_protection__safe_pump_period.value}_{self.buy_11_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) buy_11_protections.append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) buy_11_protections.append(dataframe['safe_pump_36_normal_1h']) buy_11_protections.append(dataframe['safe_pump_48_loose_1h']) # Logic buy_11_logic = [] buy_11_logic.append(reduce(lambda x, y: x & y, buy_11_protections)) buy_11_logic.append(((dataframe['close'] - dataframe['open'].rolling(36).min()) / dataframe['open'].rolling(36).min()) > self.buy_min_inc_11.value) buy_11_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_11.value) buy_11_logic.append(dataframe['rsi_1h'] > self.buy_rsi_1h_min_11.value) buy_11_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_max_11.value) buy_11_logic.append(dataframe['rsi'] < self.buy_rsi_11.value) buy_11_logic.append(dataframe['mfi'] < self.buy_mfi_11.value) buy_11_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_11_trigger'] = reduce(lambda x, y: x & y, buy_11_logic) if self.buy_condition_11_enable.value: conditions.append(dataframe.loc[:, 'buy_11_trigger']) # Protections buy_12_protections = [True] if self.buy_12_protection__ema_fast.value: buy_12_protections.append(dataframe[f"ema_{self.buy_12_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_12_protection__ema_slow.value: buy_12_protections.append(dataframe[f"ema_{self.buy_12_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_12_protection__close_above_ema_fast.value: buy_12_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_12_protection__close_above_ema_fast_len.value}"]) if self.buy_12_protection__close_above_ema_slow.value: buy_12_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_12_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_12_protection__sma200_rising.value: buy_12_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_12_protection__sma200_rising_val.value))) if self.buy_12_protection__sma200_1h_rising.value: buy_12_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_12_protection__sma200_1h_rising_val.value))) if self.buy_12_protection__safe_dips.value: buy_12_protections.append(dataframe[f"safe_dips_{self.buy_12_protection__safe_dips_type.value}"]) if self.buy_12_protection__safe_pump.value: buy_12_protections.append(dataframe[f"safe_pump_{self.buy_12_protection__safe_pump_period.value}_{self.buy_12_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) # Logic buy_12_logic = [] buy_12_logic.append(reduce(lambda x, y: x & y, buy_12_protections)) buy_12_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_12.value) buy_12_logic.append(dataframe['ewo'] > self.buy_ewo_12.value) buy_12_logic.append(dataframe['rsi'] < self.buy_rsi_12.value) buy_12_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_12_trigger'] = reduce(lambda x, y: x & y, buy_12_logic) if self.buy_condition_12_enable.value: conditions.append(dataframe.loc[:, 'buy_12_trigger']) # Protections buy_13_protections = [True] if self.buy_13_protection__ema_fast.value: buy_13_protections.append(dataframe[f"ema_{self.buy_13_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_13_protection__ema_slow.value: buy_13_protections.append(dataframe[f"ema_{self.buy_13_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_13_protection__close_above_ema_fast.value: buy_13_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_13_protection__close_above_ema_fast_len.value}"]) if self.buy_13_protection__close_above_ema_slow.value: buy_13_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_13_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_13_protection__sma200_rising.value: buy_13_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_13_protection__sma200_rising_val.value))) if self.buy_13_protection__sma200_1h_rising.value: buy_13_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_13_protection__sma200_1h_rising_val.value))) if self.buy_13_protection__safe_dips.value: buy_13_protections.append(dataframe[f"safe_dips_{self.buy_13_protection__safe_dips_type.value}"]) if self.buy_13_protection__safe_pump.value: buy_13_protections.append(dataframe[f"safe_pump_{self.buy_13_protection__safe_pump_period.value}_{self.buy_13_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) buy_13_protections.append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) #buy_13_protections.append(dataframe['safe_pump_36_loose_1h']) # Logic buy_13_logic = [] buy_13_logic.append(reduce(lambda x, y: x & y, buy_13_protections)) buy_13_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_13.value) buy_13_logic.append(dataframe['ewo'] < self.buy_ewo_13.value) buy_13_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_13_trigger'] = reduce(lambda x, y: x & y, buy_13_logic) if self.buy_condition_13_enable.value: conditions.append(dataframe.loc[:, 'buy_13_trigger']) # Protections buy_14_protections = [True] if self.buy_14_protection__ema_fast.value: buy_14_protections.append(dataframe[f"ema_{self.buy_14_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_14_protection__ema_slow.value: buy_14_protections.append(dataframe[f"ema_{self.buy_14_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_14_protection__close_above_ema_fast.value: buy_14_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_14_protection__close_above_ema_fast_len.value}"]) if self.buy_14_protection__close_above_ema_slow.value: buy_14_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_14_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_14_protection__sma200_rising.value: buy_14_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_14_protection__sma200_rising_val.value))) if self.buy_14_protection__sma200_1h_rising.value: buy_14_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_14_protection__sma200_1h_rising_val.value))) if self.buy_14_protection__safe_dips.value: buy_14_protections.append(dataframe[f"safe_dips_{self.buy_14_protection__safe_dips_type.value}"]) if self.buy_14_protection__safe_pump.value: buy_14_protections.append(dataframe[f"safe_pump_{self.buy_14_protection__safe_pump_period.value}_{self.buy_14_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) # Logic buy_14_logic = [] buy_14_logic.append(reduce(lambda x, y: x & y, buy_14_protections)) buy_14_logic.append(dataframe['ema_26'] > dataframe['ema_12']) buy_14_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_14.value)) buy_14_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) buy_14_logic.append(dataframe['close'] < (dataframe['bb_lowerband'] * self.buy_bb_offset_14.value)) buy_14_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_14.value) buy_14_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_14_trigger'] = reduce(lambda x, y: x & y, buy_14_logic) if self.buy_condition_14_enable.value: conditions.append(dataframe.loc[:, 'buy_14_trigger']) # Protections buy_15_protections = [True] if self.buy_15_protection__ema_fast.value: buy_15_protections.append(dataframe[f"ema_{self.buy_15_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_15_protection__ema_slow.value: buy_15_protections.append(dataframe[f"ema_{self.buy_15_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_15_protection__close_above_ema_fast.value: buy_15_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_15_protection__close_above_ema_fast_len.value}"]) if self.buy_15_protection__close_above_ema_slow.value: buy_15_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_15_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_15_protection__sma200_rising.value: buy_15_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_15_protection__sma200_rising_val.value))) if self.buy_15_protection__sma200_1h_rising.value: buy_15_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_15_protection__sma200_1h_rising_val.value))) if self.buy_15_protection__safe_dips.value: buy_15_protections.append(dataframe[f"safe_dips_{self.buy_15_protection__safe_dips_type.value}"]) if self.buy_15_protection__safe_pump.value: buy_15_protections.append(dataframe[f"safe_pump_{self.buy_15_protection__safe_pump_period.value}_{self.buy_15_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) buy_15_protections.append(dataframe['close'] > dataframe['ema_200_1h'] * self.buy_ema_rel_15.value) # Logic buy_15_logic = [] buy_15_logic.append(reduce(lambda x, y: x & y, buy_15_protections)) buy_15_logic.append(dataframe['ema_26'] > dataframe['ema_12']) buy_15_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_15.value)) buy_15_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) buy_15_logic.append(dataframe['rsi'] < self.buy_rsi_15.value) buy_15_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_15.value) buy_15_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_15_trigger'] = reduce(lambda x, y: x & y, buy_15_logic) if self.buy_condition_15_enable.value: conditions.append(dataframe.loc[:, 'buy_15_trigger']) # Protections buy_16_protections = [True] if self.buy_16_protection__ema_fast.value: buy_16_protections.append(dataframe[f"ema_{self.buy_16_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_16_protection__ema_slow.value: buy_16_protections.append(dataframe[f"ema_{self.buy_16_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_16_protection__close_above_ema_fast.value: buy_16_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_16_protection__close_above_ema_fast_len.value}"]) if self.buy_16_protection__close_above_ema_slow.value: buy_16_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_16_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_16_protection__sma200_rising.value: buy_16_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_16_protection__sma200_rising_val.value))) if self.buy_16_protection__sma200_1h_rising.value: buy_16_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_16_protection__sma200_1h_rising_val.value))) if self.buy_16_protection__safe_dips.value: buy_16_protections.append(dataframe[f"safe_dips_{self.buy_16_protection__safe_dips_type.value}"]) if self.buy_16_protection__safe_pump.value: buy_16_protections.append(dataframe[f"safe_pump_{self.buy_16_protection__safe_pump_period.value}_{self.buy_16_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) # Logic buy_16_logic = [] buy_16_logic.append(reduce(lambda x, y: x & y, buy_16_protections)) buy_16_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_16.value) buy_16_logic.append(dataframe['ewo'] > self.buy_ewo_16.value) buy_16_logic.append(dataframe['rsi'] < self.buy_rsi_16.value) buy_16_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_16_trigger'] = reduce(lambda x, y: x & y, buy_16_logic) if self.buy_condition_16_enable.value: conditions.append(dataframe.loc[:, 'buy_16_trigger']) # Protections buy_17_protections = [True] if self.buy_17_protection__ema_fast.value: buy_17_protections.append(dataframe[f"ema_{self.buy_17_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_17_protection__ema_slow.value: buy_17_protections.append(dataframe[f"ema_{self.buy_17_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_17_protection__close_above_ema_fast.value: buy_17_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_17_protection__close_above_ema_fast_len.value}"]) if self.buy_17_protection__close_above_ema_slow.value: buy_17_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_17_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_17_protection__sma200_rising.value: buy_17_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_17_protection__sma200_rising_val.value))) if self.buy_17_protection__sma200_1h_rising.value: buy_17_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_17_protection__sma200_1h_rising_val.value))) if self.buy_17_protection__safe_dips.value: buy_17_protections.append(dataframe[f"safe_dips_{self.buy_17_protection__safe_dips_type.value}"]) if self.buy_17_protection__safe_pump.value: buy_17_protections.append(dataframe[f"safe_pump_{self.buy_17_protection__safe_pump_period.value}_{self.buy_17_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) # Logic buy_17_logic = [] buy_17_logic.append(reduce(lambda x, y: x & y, buy_17_protections)) buy_17_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_17.value) buy_17_logic.append(dataframe['ewo'] < self.buy_ewo_17.value) buy_17_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_17_trigger'] = reduce(lambda x, y: x & y, buy_17_logic) if self.buy_condition_17_enable.value: conditions.append(dataframe.loc[:, 'buy_17_trigger']) # Protections buy_18_protections = [True] if self.buy_18_protection__ema_fast.value: buy_18_protections.append(dataframe[f"ema_{self.buy_18_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_18_protection__ema_slow.value: buy_18_protections.append(dataframe[f"ema_{self.buy_18_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_18_protection__close_above_ema_fast.value: buy_18_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_18_protection__close_above_ema_fast_len.value}"]) if self.buy_18_protection__close_above_ema_slow.value: buy_18_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_18_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_18_protection__sma200_rising.value: buy_18_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_18_protection__sma200_rising_val.value))) if self.buy_18_protection__sma200_1h_rising.value: buy_18_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_18_protection__sma200_1h_rising_val.value))) if self.buy_18_protection__safe_dips.value: buy_18_protections.append(dataframe[f"safe_dips_{self.buy_18_protection__safe_dips_type.value}"]) if self.buy_18_protection__safe_pump.value: buy_18_protections.append(dataframe[f"safe_pump_{self.buy_18_protection__safe_pump_period.value}_{self.buy_18_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) #buy_18_protections.append(dataframe['ema_100'] > dataframe['ema_200']) buy_18_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(20)) buy_18_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(36)) # Logic buy_18_logic = [] buy_18_logic.append(reduce(lambda x, y: x & y, buy_18_protections)) buy_18_logic.append(dataframe['rsi'] < self.buy_rsi_18.value) buy_18_logic.append(dataframe['close'] < (dataframe['bb_lowerband'] * self.buy_bb_offset_18.value)) buy_18_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_18_trigger'] = reduce(lambda x, y: x & y, buy_18_logic) if self.buy_condition_18_enable.value: conditions.append(dataframe.loc[:, 'buy_18_trigger']) # Protections buy_19_protections = [True] if self.buy_19_protection__ema_fast.value: buy_19_protections.append(dataframe[f"ema_{self.buy_19_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_19_protection__ema_slow.value: buy_19_protections.append(dataframe[f"ema_{self.buy_19_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_19_protection__close_above_ema_fast.value: buy_19_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_19_protection__close_above_ema_fast_len.value}"]) if self.buy_19_protection__close_above_ema_slow.value: buy_19_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_19_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_19_protection__sma200_rising.value: buy_19_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_19_protection__sma200_rising_val.value))) if self.buy_19_protection__sma200_1h_rising.value: buy_19_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_19_protection__sma200_1h_rising_val.value))) if self.buy_19_protection__safe_dips.value: buy_19_protections.append(dataframe[f"safe_dips_{self.buy_19_protection__safe_dips_type.value}"]) if self.buy_19_protection__safe_pump.value: buy_19_protections.append(dataframe[f"safe_pump_{self.buy_19_protection__safe_pump_period.value}_{self.buy_19_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) buy_19_protections.append(dataframe['ema_50_1h'] > dataframe['ema_200_1h']) # Logic buy_19_logic = [] buy_19_logic.append(reduce(lambda x, y: x & y, buy_19_protections)) buy_19_logic.append(dataframe['close'].shift(1) > dataframe['ema_100_1h']) buy_19_logic.append(dataframe['low'] < dataframe['ema_100_1h']) buy_19_logic.append(dataframe['close'] > dataframe['ema_100_1h']) buy_19_logic.append(dataframe['rsi_1h'] > self.buy_rsi_1h_min_19.value) buy_19_logic.append(dataframe['chop'] < self.buy_chop_min_19.value) buy_19_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_19_trigger'] = reduce(lambda x, y: x & y, buy_19_logic) if self.buy_condition_19_enable.value: conditions.append(dataframe.loc[:, 'buy_19_trigger']) # Protections buy_20_protections = [True] if self.buy_20_protection__ema_fast.value: buy_20_protections.append(dataframe[f"ema_{self.buy_20_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_20_protection__ema_slow.value: buy_20_protections.append(dataframe[f"ema_{self.buy_20_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_20_protection__close_above_ema_fast.value: buy_20_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_20_protection__close_above_ema_fast_len.value}"]) if self.buy_20_protection__close_above_ema_slow.value: buy_20_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_20_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_20_protection__sma200_rising.value: buy_20_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_20_protection__sma200_rising_val.value))) if self.buy_20_protection__sma200_1h_rising.value: buy_20_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_20_protection__sma200_1h_rising_val.value))) if self.buy_20_protection__safe_dips.value: buy_20_protections.append(dataframe[f"safe_dips_{self.buy_20_protection__safe_dips_type.value}"]) if self.buy_20_protection__safe_pump.value: buy_20_protections.append(dataframe[f"safe_pump_{self.buy_20_protection__safe_pump_period.value}_{self.buy_20_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) # Logic buy_20_logic = [] buy_20_logic.append(reduce(lambda x, y: x & y, buy_20_protections)) buy_20_logic.append(dataframe['rsi'] < self.buy_rsi_20.value) buy_20_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_20.value) buy_20_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_20_trigger'] = reduce(lambda x, y: x & y, buy_20_logic) if self.buy_condition_20_enable.value: conditions.append(dataframe.loc[:, 'buy_20_trigger']) # Protections buy_21_protections = [True] if self.buy_21_protection__ema_fast.value: buy_21_protections.append(dataframe[f"ema_{self.buy_21_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_21_protection__ema_slow.value: buy_21_protections.append(dataframe[f"ema_{self.buy_21_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_21_protection__close_above_ema_fast.value: buy_21_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_21_protection__close_above_ema_fast_len.value}"]) if self.buy_21_protection__close_above_ema_slow.value: buy_21_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_21_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_21_protection__sma200_rising.value: buy_21_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_21_protection__sma200_rising_val.value))) if self.buy_21_protection__sma200_1h_rising.value: buy_21_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_21_protection__sma200_1h_rising_val.value))) if self.buy_21_protection__safe_dips.value: buy_21_protections.append(dataframe[f"safe_dips_{self.buy_21_protection__safe_dips_type.value}"]) if self.buy_21_protection__safe_pump.value: buy_21_protections.append(dataframe[f"safe_pump_{self.buy_21_protection__safe_pump_period.value}_{self.buy_21_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) # Logic buy_21_logic = [] buy_21_logic.append(reduce(lambda x, y: x & y, buy_21_protections)) buy_21_logic.append(dataframe['rsi'] < self.buy_rsi_21.value) buy_21_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_21.value) buy_21_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_21_trigger'] = reduce(lambda x, y: x & y, buy_21_logic) if self.buy_condition_21_enable.value: conditions.append(dataframe.loc[:, 'buy_21_trigger']) # Protections buy_22_protections = [True] if self.buy_22_protection__ema_fast.value: buy_22_protections.append(dataframe[f"ema_{self.buy_22_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_22_protection__ema_slow.value: buy_22_protections.append(dataframe[f"ema_{self.buy_22_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_22_protection__close_above_ema_fast.value: buy_22_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_22_protection__close_above_ema_fast_len.value}"]) if self.buy_22_protection__close_above_ema_slow.value: buy_22_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_22_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_22_protection__sma200_rising.value: buy_22_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_22_protection__sma200_rising_val.value))) if self.buy_22_protection__sma200_1h_rising.value: buy_22_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_22_protection__sma200_1h_rising_val.value))) if self.buy_22_protection__safe_dips.value: buy_22_protections.append(dataframe[f"safe_dips_{self.buy_22_protection__safe_dips_type.value}"]) if self.buy_22_protection__safe_pump.value: buy_22_protections.append(dataframe[f"safe_pump_{self.buy_22_protection__safe_pump_period.value}_{self.buy_22_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) buy_22_protections.append(dataframe['ema_100_1h'] > dataframe['ema_100_1h'].shift(12)) buy_22_protections.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(36)) # Logic buy_22_logic = [] buy_22_logic.append(reduce(lambda x, y: x & y, buy_22_protections)) buy_22_logic.append((dataframe['volume_mean_4'] * self.buy_volume_22.value) > dataframe['volume']) buy_22_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_22.value) buy_22_logic.append(dataframe['close'] < (dataframe['bb_lowerband'] * self.buy_bb_offset_22.value)) buy_22_logic.append(dataframe['ewo'] > self.buy_ewo_22.value) buy_22_logic.append(dataframe['rsi'] < self.buy_rsi_22.value) buy_22_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_22_trigger'] = reduce(lambda x, y: x & y, buy_22_logic) if self.buy_condition_22_enable.value: conditions.append(dataframe.loc[:, 'buy_22_trigger']) # Protections buy_23_protections = [True] if self.buy_23_protection__ema_fast.value: buy_23_protections.append(dataframe[f"ema_{self.buy_23_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_23_protection__ema_slow.value: buy_23_protections.append(dataframe[f"ema_{self.buy_23_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_23_protection__close_above_ema_fast.value: buy_23_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_23_protection__close_above_ema_fast_len.value}"]) if self.buy_23_protection__close_above_ema_slow.value: buy_23_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_23_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_23_protection__sma200_rising.value: buy_23_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_23_protection__sma200_rising_val.value))) if self.buy_23_protection__sma200_1h_rising.value: buy_23_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_23_protection__sma200_1h_rising_val.value))) if self.buy_23_protection__safe_dips.value: buy_23_protections.append(dataframe[f"safe_dips_{self.buy_23_protection__safe_dips_type.value}"]) if self.buy_23_protection__safe_pump.value: buy_23_protections.append(dataframe[f"safe_pump_{self.buy_23_protection__safe_pump_period.value}_{self.buy_23_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) # Logic buy_23_logic = [] buy_23_logic.append(reduce(lambda x, y: x & y, buy_23_protections)) buy_23_logic.append(dataframe['close'] < (dataframe['bb_lowerband'] * self.buy_bb_offset_23.value)) buy_23_logic.append(dataframe['ewo'] > self.buy_ewo_23.value) buy_23_logic.append(dataframe['rsi'] < self.buy_rsi_23.value) buy_23_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_23.value) buy_23_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_23_trigger'] = reduce(lambda x, y: x & y, buy_23_logic) if self.buy_condition_23_enable.value: conditions.append(dataframe.loc[:, 'buy_23_trigger']) # Protections buy_24_protections = [True] if self.buy_24_protection__ema_fast.value: buy_24_protections.append(dataframe[f"ema_{self.buy_24_protection__ema_fast_len.value}"] > dataframe['ema_200']) if self.buy_24_protection__ema_slow.value: buy_24_protections.append(dataframe[f"ema_{self.buy_24_protection__ema_slow_len.value}_1h"] > dataframe['ema_200_1h']) if self.buy_24_protection__close_above_ema_fast.value: buy_24_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_24_protection__close_above_ema_fast_len.value}"]) if self.buy_24_protection__close_above_ema_slow.value: buy_24_protections.append(dataframe['close'] > dataframe[f"ema_{self.buy_24_protection__close_above_ema_slow_len.value}_1h"]) if self.buy_24_protection__sma200_rising.value: buy_24_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.buy_24_protection__sma200_rising_val.value))) if self.buy_24_protection__sma200_1h_rising.value: buy_24_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.buy_24_protection__sma200_1h_rising_val.value))) if self.buy_24_protection__safe_dips.value: buy_24_protections.append(dataframe[f"safe_dips_{self.buy_24_protection__safe_dips_type.value}"]) if self.buy_24_protection__safe_pump.value: buy_24_protections.append(dataframe[f"safe_pump_{self.buy_24_protection__safe_pump_period.value}_{self.buy_24_protection__safe_pump_type.value}_1h"]) # Non-Standard protections (add below) # Logic buy_24_logic = [] buy_24_logic.append(reduce(lambda x, y: x & y, buy_24_protections)) buy_24_logic.append(dataframe['ema_12_1h'].shift(12) < dataframe['ema_35_1h'].shift(12)) buy_24_logic.append(dataframe['ema_12_1h'].shift(12) < dataframe['ema_35_1h'].shift(12)) buy_24_logic.append(dataframe['ema_12_1h'] > dataframe['ema_35_1h']) buy_24_logic.append(dataframe['cmf_1h'].shift(12) < 0) buy_24_logic.append(dataframe['cmf_1h'] > 0) buy_24_logic.append(dataframe['rsi'] < self.buy_24_rsi_max.value) buy_24_logic.append(dataframe['rsi_1h'] > self.buy_24_rsi_1h_min.value) buy_24_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'buy_24_trigger'] = reduce(lambda x, y: x & y, buy_24_logic) if self.buy_condition_24_enable.value: conditions.append(dataframe.loc[:, 'buy_24_trigger']) if conditions: dataframe.loc[ reduce(lambda x, y: x | y, conditions), 'buy' ] = 1 return dataframe def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: conditions = [] conditions.append( ( self.sell_condition_1_enable.value & (dataframe['rsi'] > self.sell_rsi_bb_1.value) & (dataframe['close'] > dataframe['bb_upperband']) & (dataframe['close'].shift(1) > dataframe['bb_upperband'].shift(1)) & (dataframe['close'].shift(2) > dataframe['bb_upperband'].shift(2)) & (dataframe['close'].shift(3) > dataframe['bb_upperband'].shift(3)) & (dataframe['close'].shift(4) > dataframe['bb_upperband'].shift(4)) & (dataframe['close'].shift(5) > dataframe['bb_upperband'].shift(5)) & (dataframe['volume'] > 0) ) ) conditions.append( ( self.sell_condition_2_enable.value & (dataframe['rsi'] > self.sell_rsi_bb_2.value) & (dataframe['close'] > dataframe['bb_upperband']) & (dataframe['close'].shift(1) > dataframe['bb_upperband'].shift(1)) & (dataframe['close'].shift(2) > dataframe['bb_upperband'].shift(2)) & (dataframe['volume'] > 0) ) ) conditions.append( ( self.sell_condition_3_enable.value & (dataframe['rsi'] > self.sell_rsi_main_3.value) & (dataframe['volume'] > 0) ) ) conditions.append( ( self.sell_condition_4_enable.value & (dataframe['rsi'] > self.sell_dual_rsi_rsi_4.value) & (dataframe['rsi_1h'] > self.sell_dual_rsi_rsi_1h_4.value) & (dataframe['volume'] > 0) ) ) conditions.append( ( self.sell_condition_6_enable.value & (dataframe['close'] < dataframe['ema_200']) & (dataframe['close'] > dataframe['ema_50']) & (dataframe['rsi'] > self.sell_rsi_under_6.value) & (dataframe['volume'] > 0) ) ) conditions.append( ( self.sell_condition_7_enable.value & (dataframe['rsi_1h'] > self.sell_rsi_1h_7.value) & qtpylib.crossed_below(dataframe['ema_12'], dataframe['ema_26']) & (dataframe['volume'] > 0) ) ) conditions.append( ( self.sell_condition_8_enable.value & (dataframe['close'] > dataframe['bb_upperband_1h'] * self.sell_bb_relative_8.value) & (dataframe['volume'] > 0) ) ) if conditions: dataframe.loc[ reduce(lambda x, y: x | y, conditions), 'sell' ] = 1 return dataframe # Elliot Wave Oscillator def EWO(dataframe, sma1_length=5, sma2_length=35): df = dataframe.copy() sma1 = ta.EMA(df, timeperiod=sma1_length) sma2 = ta.EMA(df, timeperiod=sma2_length) smadif = (sma1 - sma2) / df['close'] * 100 return smadif # Chaikin Money Flow def chaikin_money_flow(dataframe, n=20, fillna=False): """Chaikin Money Flow (CMF) It measures the amount of Money Flow Volume over a specific period. http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:chaikin_money_flow_cmf Args: dataframe(pandas.Dataframe): dataframe containing ohlcv n(int): n period. fillna(bool): if True, fill nan values. Returns: pandas.Series: New feature generated. """ df = dataframe.copy() mfv = ((df['close'] - df['low']) - (df['high'] - df['close'])) / (df['high'] - df['low']) mfv = mfv.fillna(0.0) # float division by zero mfv *= df['volume'] cmf = (mfv.rolling(n, min_periods=0).sum() / df['volume'].rolling(n, min_periods=0).sum()) if fillna: cmf = cmf.replace([np.inf, -np.inf], np.nan).fillna(0) return Series(cmf, name='cmf')