import logging import pathlib import rapidjson import freqtrade.vendor.qtpylib.indicators as qtpylib import numpy as np import talib.abstract as ta from freqtrade.misc import json_load from freqtrade.strategy.interface import IStrategy from freqtrade.strategy import merge_informative_pair, timeframe_to_minutes from freqtrade.strategy import DecimalParameter, IntParameter, CategoricalParameter from freqtrade.exchange import timeframe_to_prev_date from pandas import DataFrame, Series, concat from functools import reduce import math from freqtrade.persistence import Trade from datetime import datetime, timedelta from technical.util import resample_to_interval, resampled_merge from technical.indicators import zema, VIDYA import pandas_ta as pta log = logging.getLogger(__name__) ########################################################################################################### ## NostalgiaForInfinity by iterativ V7.3.1 BUSD ## ## ## ## 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_exit_signal must set to true (or not set at all). ## ## exit_profit_only must set to false (or not set at all). ## ## ignore_roi_if_entry_signal must set to true (or not set at all). ## ## ## ########################################################################################################### ## HOLD SUPPORT ## ## In case you want to have SOME of the trades to only be sold when on profit, add a file named ## ## "hold-trades.json" in the same directory as this strategy. ## ## ## ## The contents should be similar to: ## ## ## ## {"trade_ids": [1, 3, 7], "profit_ratio": 0.005} ## ## ## ## Or, for individual profit ratios(Notice the trade ID's as strings: ## ## ## ## {"trade_ids": {"1": 0.001, "3": -0.005, "7": 0.05}} ## ## ## ## NOTE: ## ## * `trade_ids` is a list of integers, the trade ID's, which you can get from the logs or from the ## ## output of the telegram status command. ## ## * Regardless of the defined profit ratio(s), the strategy MUST still produce a SELL signal for the ## ## HOLD support logic to run ## ## ## ########################################################################################################### ## DONATIONS ## ## ## ## Absolutely not required. However, will be accepted as a token of appreciation. ## ## ## ## BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk ## ## ETH (ERC20): 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91 ## ## BEP20/BSC (ETH, BNB, ...): 0x86A0B21a20b39d16424B7c8003E4A7e12d78ABEe ## ## ## ########################################################################################################### class NFI731_BUSD(IStrategy): INTERFACE_VERSION = 3 # # ROI table: minimal_roi = {'0': 10} stoploss = -0.99 # Trailing stoploss (not used) trailing_stop = False trailing_only_offset_is_reached = True trailing_stop_positive = 0.01 trailing_stop_positive_offset = 0.03 use_custom_stoploss = False # Optimal timeframe for the strategy. timeframe = '5m' res_timeframe = 'none' info_timeframe = '1h' # BTC informative has_BTC_base_tf = False has_BTC_info_tf = True # Backtest Age Filter emulation has_bt_agefilter = False bt_min_age_days = 7 # Exchange Downtime protection has_downtime_protection = False # Run "populate_indicators()" only for new candle. process_only_new_candles = True # These values can be overridden in the "ask_strategy" section in the config. use_exit_signal = True exit_profit_only = False ignore_roi_if_entry_signal = True # Number of candles the strategy requires before producing valid signals startup_candle_count: int = 480 # Optional order type mapping. order_types = {'entry': 'limit', 'exit': 'limit', 'trailing_stop_loss': 'limit', 'stoploss': 'limit', 'stoploss_on_exchange': False} ############################################################# ############# # Enable/Disable conditions ############# entry_params = {'entry_condition_1_enable': True, 'entry_condition_2_enable': True, 'entry_condition_3_enable': True, 'entry_condition_4_enable': True, 'entry_condition_5_enable': True, 'entry_condition_6_enable': True, 'entry_condition_7_enable': True, 'entry_condition_8_enable': True, 'entry_condition_9_enable': True, 'entry_condition_10_enable': True, 'entry_condition_11_enable': True, 'entry_condition_12_enable': True, 'entry_condition_13_enable': True, 'entry_condition_14_enable': True, 'entry_condition_15_enable': True, 'entry_condition_16_enable': True, 'entry_condition_17_enable': True, 'entry_condition_18_enable': True, 'entry_condition_19_enable': True, 'entry_condition_20_enable': True, 'entry_condition_21_enable': True, 'entry_condition_22_enable': True, 'entry_condition_23_enable': True, 'entry_condition_24_enable': True, 'entry_condition_25_enable': True, 'entry_condition_26_enable': True, 'entry_condition_27_enable': True, 'entry_condition_28_enable': True, 'entry_condition_29_enable': True, 'entry_condition_30_enable': True, 'entry_condition_31_enable': True, 'entry_condition_32_enable': True, 'entry_condition_33_enable': True, 'entry_condition_34_enable': True, 'entry_condition_35_enable': True, 'entry_condition_36_enable': True, 'entry_condition_37_enable': True, 'entry_condition_38_enable': True} ############# # Enable/Disable conditions ############# exit_params = {'exit_condition_1_enable': True, 'exit_condition_2_enable': True, 'exit_condition_3_enable': True, 'exit_condition_4_enable': True, 'exit_condition_5_enable': True, 'exit_condition_6_enable': True, 'exit_condition_7_enable': True, 'exit_condition_8_enable': True} ############################################################# entry_protection_params = {1: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='26', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='28', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='80', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='70', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 2: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='20', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 3: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='80', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='36', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 4: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='20', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='110', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='48', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 5: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='130', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='30', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='36', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 6: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='20', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='36', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 7: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='12', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 8: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='12', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='120', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 9: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 10: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='24', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 11: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 12: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='24', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 13: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='24', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='20', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 14: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='70', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 15: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='130', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='20', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='36', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 16: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='50', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 17: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='120', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 18: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='44', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='72', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='60', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 19: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='36', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 20: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 21: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='90', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 22: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='110', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 23: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 24: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='36', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='20', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 25: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='20', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='20', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 26: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='60', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='48', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 27: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='36', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True)}, 28: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='110', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='36', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True)}, 29: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='110', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='36', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 30: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='110', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='36', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 31: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='100', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='110', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='48', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 32: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='100', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='20', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='48', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 33: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='100', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 34: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='100', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 34: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='100', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 35: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='100', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 36: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='100', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 37: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='100', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='48', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}, 38: {'enable': CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True), 'ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_fast_len': CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'ema_slow_len': CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True), 'close_above_ema_fast': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_fast_len': CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True), 'close_above_ema_slow': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'close_above_ema_slow_len': CategoricalParameter(['15', '50', '200'], default='100', space='entry', optimize=False, load=True), 'sma200_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True), 'sma200_1h_rising': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'sma200_1h_rising_val': CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True), 'safe_dips': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_dips_type': CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True), 'safe_pump': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True), 'safe_pump_type': CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True), 'safe_pump_period': CategoricalParameter(['24', '36', '48'], default='36', space='entry', optimize=False, load=True), 'btc_1h_not_downtrend': CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True)}} entry_condition_1_enable = entry_protection_params[1]['enable'] entry_1_protection__ema_fast = entry_protection_params[1]['ema_fast'] entry_1_protection__ema_fast_len = entry_protection_params[1]['ema_fast_len'] entry_1_protection__ema_slow = entry_protection_params[1]['ema_slow'] entry_1_protection__ema_slow_len = entry_protection_params[1]['ema_slow_len'] entry_1_protection__close_above_ema_fast = entry_protection_params[1]['close_above_ema_fast'] entry_1_protection__close_above_ema_fast_len = entry_protection_params[1]['close_above_ema_fast_len'] entry_1_protection__close_above_ema_slow = entry_protection_params[1]['close_above_ema_slow'] entry_1_protection__close_above_ema_slow_len = entry_protection_params[1]['close_above_ema_slow_len'] entry_1_protection__sma200_rising = entry_protection_params[1]['sma200_rising'] entry_1_protection__sma200_rising_val = entry_protection_params[1]['sma200_rising_val'] entry_1_protection__sma200_1h_rising = entry_protection_params[1]['sma200_1h_rising'] entry_1_protection__sma200_1h_rising_val = entry_protection_params[1]['sma200_1h_rising_val'] entry_1_protection__safe_dips = entry_protection_params[1]['safe_dips'] entry_1_protection__safe_dips_type = entry_protection_params[1]['safe_dips_type'] entry_1_protection__safe_pump = entry_protection_params[1]['safe_pump'] entry_1_protection__safe_pump_type = entry_protection_params[1]['safe_pump_type'] entry_1_protection__safe_pump_period = entry_protection_params[1]['safe_pump_period'] entry_1_protection__btc_1h_not_downtrend = entry_protection_params[1]['btc_1h_not_downtrend'] entry_condition_2_enable = entry_protection_params[2]['enable'] entry_2_protection__ema_fast = entry_protection_params[2]['ema_fast'] entry_2_protection__ema_fast_len = entry_protection_params[2]['ema_fast_len'] entry_2_protection__ema_slow = entry_protection_params[2]['ema_slow'] entry_2_protection__ema_slow_len = entry_protection_params[2]['ema_slow_len'] entry_2_protection__close_above_ema_fast = entry_protection_params[2]['close_above_ema_fast'] entry_2_protection__close_above_ema_fast_len = entry_protection_params[2]['close_above_ema_fast_len'] entry_2_protection__close_above_ema_slow = entry_protection_params[2]['close_above_ema_slow'] entry_2_protection__close_above_ema_slow_len = entry_protection_params[2]['close_above_ema_slow_len'] entry_2_protection__sma200_rising = entry_protection_params[2]['sma200_rising'] entry_2_protection__sma200_rising_val = entry_protection_params[2]['sma200_rising_val'] entry_2_protection__sma200_1h_rising = entry_protection_params[2]['sma200_1h_rising'] entry_2_protection__sma200_1h_rising_val = entry_protection_params[2]['sma200_1h_rising_val'] entry_2_protection__safe_dips = entry_protection_params[2]['safe_dips'] entry_2_protection__safe_dips_type = entry_protection_params[2]['safe_dips_type'] entry_2_protection__safe_pump = entry_protection_params[2]['safe_pump'] entry_2_protection__safe_pump_type = entry_protection_params[2]['safe_pump_type'] entry_2_protection__safe_pump_period = entry_protection_params[2]['safe_pump_period'] entry_2_protection__btc_1h_not_downtrend = entry_protection_params[2]['btc_1h_not_downtrend'] entry_condition_3_enable = entry_protection_params[3]['enable'] entry_3_protection__ema_fast = entry_protection_params[3]['ema_fast'] entry_3_protection__ema_fast_len = entry_protection_params[3]['ema_fast_len'] entry_3_protection__ema_slow = entry_protection_params[3]['ema_slow'] entry_3_protection__ema_slow_len = entry_protection_params[3]['ema_slow_len'] entry_3_protection__close_above_ema_fast = entry_protection_params[3]['close_above_ema_fast'] entry_3_protection__close_above_ema_fast_len = entry_protection_params[3]['close_above_ema_fast_len'] entry_3_protection__close_above_ema_slow = entry_protection_params[3]['close_above_ema_slow'] entry_3_protection__close_above_ema_slow_len = entry_protection_params[3]['close_above_ema_slow_len'] entry_3_protection__sma200_rising = entry_protection_params[3]['sma200_rising'] entry_3_protection__sma200_rising_val = entry_protection_params[3]['sma200_rising_val'] entry_3_protection__sma200_1h_rising = entry_protection_params[3]['sma200_1h_rising'] entry_3_protection__sma200_1h_rising_val = entry_protection_params[3]['sma200_1h_rising_val'] entry_3_protection__safe_dips = entry_protection_params[3]['safe_dips'] entry_3_protection__safe_dips_type = entry_protection_params[3]['safe_dips_type'] entry_3_protection__safe_pump = entry_protection_params[3]['safe_pump'] entry_3_protection__safe_pump_type = entry_protection_params[3]['safe_pump_type'] entry_3_protection__safe_pump_period = entry_protection_params[3]['safe_pump_period'] entry_3_protection__btc_1h_not_downtrend = entry_protection_params[3]['btc_1h_not_downtrend'] entry_condition_4_enable = entry_protection_params[4]['enable'] entry_4_protection__ema_fast = entry_protection_params[4]['ema_fast'] entry_4_protection__ema_fast_len = entry_protection_params[4]['ema_fast_len'] entry_4_protection__ema_slow = entry_protection_params[4]['ema_slow'] entry_4_protection__ema_slow_len = entry_protection_params[4]['ema_slow_len'] entry_4_protection__close_above_ema_fast = entry_protection_params[4]['close_above_ema_fast'] entry_4_protection__close_above_ema_fast_len = entry_protection_params[4]['close_above_ema_fast_len'] entry_4_protection__close_above_ema_slow = entry_protection_params[4]['close_above_ema_slow'] entry_4_protection__close_above_ema_slow_len = entry_protection_params[4]['close_above_ema_slow_len'] entry_4_protection__sma200_rising = entry_protection_params[4]['sma200_rising'] entry_4_protection__sma200_rising_val = entry_protection_params[4]['sma200_rising_val'] entry_4_protection__sma200_1h_rising = entry_protection_params[4]['sma200_1h_rising'] entry_4_protection__sma200_1h_rising_val = entry_protection_params[4]['sma200_1h_rising_val'] entry_4_protection__safe_dips = entry_protection_params[4]['safe_dips'] entry_4_protection__safe_dips_type = entry_protection_params[4]['safe_dips_type'] entry_4_protection__safe_pump = entry_protection_params[4]['safe_pump'] entry_4_protection__safe_pump_type = entry_protection_params[4]['safe_pump_type'] entry_4_protection__safe_pump_period = entry_protection_params[4]['safe_pump_period'] entry_4_protection__btc_1h_not_downtrend = entry_protection_params[4]['btc_1h_not_downtrend'] entry_condition_5_enable = entry_protection_params[5]['enable'] entry_5_protection__ema_fast = entry_protection_params[5]['ema_fast'] entry_5_protection__ema_fast_len = entry_protection_params[5]['ema_fast_len'] entry_5_protection__ema_slow = entry_protection_params[5]['ema_slow'] entry_5_protection__ema_slow_len = entry_protection_params[5]['ema_slow_len'] entry_5_protection__close_above_ema_fast = entry_protection_params[5]['close_above_ema_fast'] entry_5_protection__close_above_ema_fast_len = entry_protection_params[5]['close_above_ema_fast_len'] entry_5_protection__close_above_ema_slow = entry_protection_params[5]['close_above_ema_slow'] entry_5_protection__close_above_ema_slow_len = entry_protection_params[5]['close_above_ema_slow_len'] entry_5_protection__sma200_rising = entry_protection_params[5]['sma200_rising'] entry_5_protection__sma200_rising_val = entry_protection_params[5]['sma200_rising_val'] entry_5_protection__sma200_1h_rising = entry_protection_params[5]['sma200_1h_rising'] entry_5_protection__sma200_1h_rising_val = entry_protection_params[5]['sma200_1h_rising_val'] entry_5_protection__safe_dips = entry_protection_params[5]['safe_dips'] entry_5_protection__safe_dips_type = entry_protection_params[5]['safe_dips_type'] entry_5_protection__safe_pump = entry_protection_params[5]['safe_pump'] entry_5_protection__safe_pump_type = entry_protection_params[5]['safe_pump_type'] entry_5_protection__safe_pump_period = entry_protection_params[5]['safe_pump_period'] entry_5_protection__btc_1h_not_downtrend = entry_protection_params[5]['btc_1h_not_downtrend'] entry_condition_6_enable = entry_protection_params[6]['enable'] entry_6_protection__ema_fast = entry_protection_params[6]['ema_fast'] entry_6_protection__ema_fast_len = entry_protection_params[6]['ema_fast_len'] entry_6_protection__ema_slow = entry_protection_params[6]['ema_slow'] entry_6_protection__ema_slow_len = entry_protection_params[6]['ema_slow_len'] entry_6_protection__close_above_ema_fast = entry_protection_params[6]['close_above_ema_fast'] entry_6_protection__close_above_ema_fast_len = entry_protection_params[6]['close_above_ema_fast_len'] entry_6_protection__close_above_ema_slow = entry_protection_params[6]['close_above_ema_slow'] entry_6_protection__close_above_ema_slow_len = entry_protection_params[6]['close_above_ema_slow_len'] entry_6_protection__sma200_rising = entry_protection_params[6]['sma200_rising'] entry_6_protection__sma200_rising_val = entry_protection_params[6]['sma200_rising_val'] entry_6_protection__sma200_1h_rising = entry_protection_params[6]['sma200_1h_rising'] entry_6_protection__sma200_1h_rising_val = entry_protection_params[6]['sma200_1h_rising_val'] entry_6_protection__safe_dips = entry_protection_params[6]['safe_dips'] entry_6_protection__safe_dips_type = entry_protection_params[6]['safe_dips_type'] entry_6_protection__safe_pump = entry_protection_params[6]['safe_pump'] entry_6_protection__safe_pump_type = entry_protection_params[6]['safe_pump_type'] entry_6_protection__safe_pump_period = entry_protection_params[6]['safe_pump_period'] entry_6_protection__btc_1h_not_downtrend = entry_protection_params[6]['btc_1h_not_downtrend'] entry_condition_7_enable = entry_protection_params[7]['enable'] entry_7_protection__ema_fast = entry_protection_params[7]['ema_fast'] entry_7_protection__ema_fast_len = entry_protection_params[7]['ema_fast_len'] entry_7_protection__ema_slow = entry_protection_params[7]['ema_slow'] entry_7_protection__ema_slow_len = entry_protection_params[7]['ema_slow_len'] entry_7_protection__close_above_ema_fast = entry_protection_params[7]['close_above_ema_fast'] entry_7_protection__close_above_ema_fast_len = entry_protection_params[7]['close_above_ema_fast_len'] entry_7_protection__close_above_ema_slow = entry_protection_params[7]['close_above_ema_slow'] entry_7_protection__close_above_ema_slow_len = entry_protection_params[7]['close_above_ema_slow_len'] entry_7_protection__sma200_rising = entry_protection_params[7]['sma200_rising'] entry_7_protection__sma200_rising_val = entry_protection_params[7]['sma200_rising_val'] entry_7_protection__sma200_1h_rising = entry_protection_params[7]['sma200_1h_rising'] entry_7_protection__sma200_1h_rising_val = entry_protection_params[7]['sma200_1h_rising_val'] entry_7_protection__safe_dips = entry_protection_params[7]['safe_dips'] entry_7_protection__safe_dips_type = entry_protection_params[7]['safe_dips_type'] entry_7_protection__safe_pump = entry_protection_params[7]['safe_pump'] entry_7_protection__safe_pump_type = entry_protection_params[7]['safe_pump_type'] entry_7_protection__safe_pump_period = entry_protection_params[7]['safe_pump_period'] entry_7_protection__btc_1h_not_downtrend = entry_protection_params[7]['btc_1h_not_downtrend'] entry_condition_8_enable = entry_protection_params[8]['enable'] entry_8_protection__ema_fast = entry_protection_params[8]['ema_fast'] entry_8_protection__ema_fast_len = entry_protection_params[8]['ema_fast_len'] entry_8_protection__ema_slow = entry_protection_params[8]['ema_slow'] entry_8_protection__ema_slow_len = entry_protection_params[8]['ema_slow_len'] entry_8_protection__close_above_ema_fast = entry_protection_params[8]['close_above_ema_fast'] entry_8_protection__close_above_ema_fast_len = entry_protection_params[8]['close_above_ema_fast_len'] entry_8_protection__close_above_ema_slow = entry_protection_params[8]['close_above_ema_slow'] entry_8_protection__close_above_ema_slow_len = entry_protection_params[8]['close_above_ema_slow_len'] entry_8_protection__sma200_rising = entry_protection_params[8]['sma200_rising'] entry_8_protection__sma200_rising_val = entry_protection_params[8]['sma200_rising_val'] entry_8_protection__sma200_1h_rising = entry_protection_params[8]['sma200_1h_rising'] entry_8_protection__sma200_1h_rising_val = entry_protection_params[8]['sma200_1h_rising_val'] entry_8_protection__safe_dips = entry_protection_params[8]['safe_dips'] entry_8_protection__safe_dips_type = entry_protection_params[8]['safe_dips_type'] entry_8_protection__safe_pump = entry_protection_params[8]['safe_pump'] entry_8_protection__safe_pump_type = entry_protection_params[8]['safe_pump_type'] entry_8_protection__safe_pump_period = entry_protection_params[8]['safe_pump_period'] entry_8_protection__btc_1h_not_downtrend = entry_protection_params[8]['btc_1h_not_downtrend'] entry_condition_9_enable = entry_protection_params[9]['enable'] entry_9_protection__ema_fast = entry_protection_params[9]['ema_fast'] entry_9_protection__ema_fast_len = entry_protection_params[9]['ema_fast_len'] entry_9_protection__ema_slow = entry_protection_params[9]['ema_slow'] entry_9_protection__ema_slow_len = entry_protection_params[9]['ema_slow_len'] entry_9_protection__close_above_ema_fast = entry_protection_params[9]['close_above_ema_fast'] entry_9_protection__close_above_ema_fast_len = entry_protection_params[9]['close_above_ema_fast_len'] entry_9_protection__close_above_ema_slow = entry_protection_params[9]['close_above_ema_slow'] entry_9_protection__close_above_ema_slow_len = entry_protection_params[9]['close_above_ema_slow_len'] entry_9_protection__sma200_rising = entry_protection_params[9]['sma200_rising'] entry_9_protection__sma200_rising_val = entry_protection_params[9]['sma200_rising_val'] entry_9_protection__sma200_1h_rising = entry_protection_params[9]['sma200_1h_rising'] entry_9_protection__sma200_1h_rising_val = entry_protection_params[9]['sma200_1h_rising_val'] entry_9_protection__safe_dips = entry_protection_params[9]['safe_dips'] entry_9_protection__safe_dips_type = entry_protection_params[9]['safe_dips_type'] entry_9_protection__safe_pump = entry_protection_params[9]['safe_pump'] entry_9_protection__safe_pump_type = entry_protection_params[9]['safe_pump_type'] entry_9_protection__safe_pump_period = entry_protection_params[9]['safe_pump_period'] entry_9_protection__btc_1h_not_downtrend = entry_protection_params[9]['btc_1h_not_downtrend'] entry_condition_10_enable = entry_protection_params[10]['enable'] entry_10_protection__ema_fast = entry_protection_params[10]['ema_fast'] entry_10_protection__ema_fast_len = entry_protection_params[10]['ema_fast_len'] entry_10_protection__ema_slow = entry_protection_params[10]['ema_slow'] entry_10_protection__ema_slow_len = entry_protection_params[10]['ema_slow_len'] entry_10_protection__close_above_ema_fast = entry_protection_params[10]['close_above_ema_fast'] entry_10_protection__close_above_ema_fast_len = entry_protection_params[10]['close_above_ema_fast_len'] entry_10_protection__close_above_ema_slow = entry_protection_params[10]['close_above_ema_slow'] entry_10_protection__close_above_ema_slow_len = entry_protection_params[10]['close_above_ema_slow_len'] entry_10_protection__sma200_rising = entry_protection_params[10]['sma200_rising'] entry_10_protection__sma200_rising_val = entry_protection_params[10]['sma200_rising_val'] entry_10_protection__sma200_1h_rising = entry_protection_params[10]['sma200_1h_rising'] entry_10_protection__sma200_1h_rising_val = entry_protection_params[10]['sma200_1h_rising_val'] entry_10_protection__safe_dips = entry_protection_params[10]['safe_dips'] entry_10_protection__safe_dips_type = entry_protection_params[10]['safe_dips_type'] entry_10_protection__safe_pump = entry_protection_params[10]['safe_pump'] entry_10_protection__safe_pump_type = entry_protection_params[10]['safe_pump_type'] entry_10_protection__safe_pump_period = entry_protection_params[10]['safe_pump_period'] entry_10_protection__btc_1h_not_downtrend = entry_protection_params[10]['btc_1h_not_downtrend'] entry_condition_11_enable = entry_protection_params[11]['enable'] entry_11_protection__ema_fast = entry_protection_params[11]['ema_fast'] entry_11_protection__ema_fast_len = entry_protection_params[11]['ema_fast_len'] entry_11_protection__ema_slow = entry_protection_params[11]['ema_slow'] entry_11_protection__ema_slow_len = entry_protection_params[11]['ema_slow_len'] entry_11_protection__close_above_ema_fast = entry_protection_params[11]['close_above_ema_fast'] entry_11_protection__close_above_ema_fast_len = entry_protection_params[11]['close_above_ema_fast_len'] entry_11_protection__close_above_ema_slow = entry_protection_params[11]['close_above_ema_slow'] entry_11_protection__close_above_ema_slow_len = entry_protection_params[11]['close_above_ema_slow_len'] entry_11_protection__sma200_rising = entry_protection_params[11]['sma200_rising'] entry_11_protection__sma200_rising_val = entry_protection_params[11]['sma200_rising_val'] entry_11_protection__sma200_1h_rising = entry_protection_params[11]['sma200_1h_rising'] entry_11_protection__sma200_1h_rising_val = entry_protection_params[11]['sma200_1h_rising_val'] entry_11_protection__safe_dips = entry_protection_params[11]['safe_dips'] entry_11_protection__safe_dips_type = entry_protection_params[11]['safe_dips_type'] entry_11_protection__safe_pump = entry_protection_params[11]['safe_pump'] entry_11_protection__safe_pump_type = entry_protection_params[11]['safe_pump_type'] entry_11_protection__safe_pump_period = entry_protection_params[11]['safe_pump_period'] entry_11_protection__btc_1h_not_downtrend = entry_protection_params[11]['btc_1h_not_downtrend'] entry_condition_12_enable = entry_protection_params[12]['enable'] entry_12_protection__ema_fast = entry_protection_params[12]['ema_fast'] entry_12_protection__ema_fast_len = entry_protection_params[12]['ema_fast_len'] entry_12_protection__ema_slow = entry_protection_params[12]['ema_slow'] entry_12_protection__ema_slow_len = entry_protection_params[12]['ema_slow_len'] entry_12_protection__close_above_ema_fast = entry_protection_params[12]['close_above_ema_fast'] entry_12_protection__close_above_ema_fast_len = entry_protection_params[12]['close_above_ema_fast_len'] entry_12_protection__close_above_ema_slow = entry_protection_params[12]['close_above_ema_slow'] entry_12_protection__close_above_ema_slow_len = entry_protection_params[12]['close_above_ema_slow_len'] entry_12_protection__sma200_rising = entry_protection_params[12]['sma200_rising'] entry_12_protection__sma200_rising_val = entry_protection_params[12]['sma200_rising_val'] entry_12_protection__sma200_1h_rising = entry_protection_params[12]['sma200_1h_rising'] entry_12_protection__sma200_1h_rising_val = entry_protection_params[12]['sma200_1h_rising_val'] entry_12_protection__safe_dips = entry_protection_params[12]['safe_dips'] entry_12_protection__safe_dips_type = entry_protection_params[12]['safe_dips_type'] entry_12_protection__safe_pump = entry_protection_params[12]['safe_pump'] entry_12_protection__safe_pump_type = entry_protection_params[12]['safe_pump_type'] entry_12_protection__safe_pump_period = entry_protection_params[12]['safe_pump_period'] entry_12_protection__btc_1h_not_downtrend = entry_protection_params[12]['btc_1h_not_downtrend'] entry_condition_13_enable = entry_protection_params[13]['enable'] entry_13_protection__ema_fast = entry_protection_params[13]['ema_fast'] entry_13_protection__ema_fast_len = entry_protection_params[13]['ema_fast_len'] entry_13_protection__ema_slow = entry_protection_params[13]['ema_slow'] entry_13_protection__ema_slow_len = entry_protection_params[13]['ema_slow_len'] entry_13_protection__close_above_ema_fast = entry_protection_params[13]['close_above_ema_fast'] entry_13_protection__close_above_ema_fast_len = entry_protection_params[13]['close_above_ema_fast_len'] entry_13_protection__close_above_ema_slow = entry_protection_params[13]['close_above_ema_slow'] entry_13_protection__close_above_ema_slow_len = entry_protection_params[13]['close_above_ema_slow_len'] entry_13_protection__sma200_rising = entry_protection_params[13]['sma200_rising'] entry_13_protection__sma200_rising_val = entry_protection_params[13]['sma200_rising_val'] entry_13_protection__sma200_1h_rising = entry_protection_params[13]['sma200_1h_rising'] entry_13_protection__sma200_1h_rising_val = entry_protection_params[13]['sma200_1h_rising_val'] entry_13_protection__safe_dips = entry_protection_params[13]['safe_dips'] entry_13_protection__safe_dips_type = entry_protection_params[13]['safe_dips_type'] entry_13_protection__safe_pump = entry_protection_params[13]['safe_pump'] entry_13_protection__safe_pump_type = entry_protection_params[13]['safe_pump_type'] entry_13_protection__safe_pump_period = entry_protection_params[13]['safe_pump_period'] entry_13_protection__btc_1h_not_downtrend = entry_protection_params[13]['btc_1h_not_downtrend'] entry_condition_14_enable = entry_protection_params[14]['enable'] entry_14_protection__ema_fast = entry_protection_params[14]['ema_fast'] entry_14_protection__ema_fast_len = entry_protection_params[14]['ema_fast_len'] entry_14_protection__ema_slow = entry_protection_params[14]['ema_slow'] entry_14_protection__ema_slow_len = entry_protection_params[14]['ema_slow_len'] entry_14_protection__close_above_ema_fast = entry_protection_params[14]['close_above_ema_fast'] entry_14_protection__close_above_ema_fast_len = entry_protection_params[14]['close_above_ema_fast_len'] entry_14_protection__close_above_ema_slow = entry_protection_params[14]['close_above_ema_slow'] entry_14_protection__close_above_ema_slow_len = entry_protection_params[14]['close_above_ema_slow_len'] entry_14_protection__sma200_rising = entry_protection_params[14]['sma200_rising'] entry_14_protection__sma200_rising_val = entry_protection_params[14]['sma200_rising_val'] entry_14_protection__sma200_1h_rising = entry_protection_params[14]['sma200_1h_rising'] entry_14_protection__sma200_1h_rising_val = entry_protection_params[14]['sma200_1h_rising_val'] entry_14_protection__safe_dips = entry_protection_params[14]['safe_dips'] entry_14_protection__safe_dips_type = entry_protection_params[14]['safe_dips_type'] entry_14_protection__safe_pump = entry_protection_params[14]['safe_pump'] entry_14_protection__safe_pump_type = entry_protection_params[14]['safe_pump_type'] entry_14_protection__safe_pump_period = entry_protection_params[14]['safe_pump_period'] entry_14_protection__btc_1h_not_downtrend = entry_protection_params[14]['btc_1h_not_downtrend'] entry_condition_15_enable = entry_protection_params[15]['enable'] entry_15_protection__ema_fast = entry_protection_params[15]['ema_fast'] entry_15_protection__ema_fast_len = entry_protection_params[15]['ema_fast_len'] entry_15_protection__ema_slow = entry_protection_params[15]['ema_slow'] entry_15_protection__ema_slow_len = entry_protection_params[15]['ema_slow_len'] entry_15_protection__close_above_ema_fast = entry_protection_params[15]['close_above_ema_fast'] entry_15_protection__close_above_ema_fast_len = entry_protection_params[15]['close_above_ema_fast_len'] entry_15_protection__close_above_ema_slow = entry_protection_params[15]['close_above_ema_slow'] entry_15_protection__close_above_ema_slow_len = entry_protection_params[15]['close_above_ema_slow_len'] entry_15_protection__sma200_rising = entry_protection_params[15]['sma200_rising'] entry_15_protection__sma200_rising_val = entry_protection_params[15]['sma200_rising_val'] entry_15_protection__sma200_1h_rising = entry_protection_params[15]['sma200_1h_rising'] entry_15_protection__sma200_1h_rising_val = entry_protection_params[15]['sma200_1h_rising_val'] entry_15_protection__safe_dips = entry_protection_params[15]['safe_dips'] entry_15_protection__safe_dips_type = entry_protection_params[15]['safe_dips_type'] entry_15_protection__safe_pump = entry_protection_params[15]['safe_pump'] entry_15_protection__safe_pump_type = entry_protection_params[15]['safe_pump_type'] entry_15_protection__safe_pump_period = entry_protection_params[15]['safe_pump_period'] entry_15_protection__btc_1h_not_downtrend = entry_protection_params[15]['btc_1h_not_downtrend'] entry_condition_16_enable = entry_protection_params[16]['enable'] entry_16_protection__ema_fast = entry_protection_params[16]['ema_fast'] entry_16_protection__ema_fast_len = entry_protection_params[16]['ema_fast_len'] entry_16_protection__ema_slow = entry_protection_params[16]['ema_slow'] entry_16_protection__ema_slow_len = entry_protection_params[16]['ema_slow_len'] entry_16_protection__close_above_ema_fast = entry_protection_params[16]['close_above_ema_fast'] entry_16_protection__close_above_ema_fast_len = entry_protection_params[16]['close_above_ema_fast_len'] entry_16_protection__close_above_ema_slow = entry_protection_params[16]['close_above_ema_slow'] entry_16_protection__close_above_ema_slow_len = entry_protection_params[16]['close_above_ema_slow_len'] entry_16_protection__sma200_rising = entry_protection_params[16]['sma200_rising'] entry_16_protection__sma200_rising_val = entry_protection_params[16]['sma200_rising_val'] entry_16_protection__sma200_1h_rising = entry_protection_params[16]['sma200_1h_rising'] entry_16_protection__sma200_1h_rising_val = entry_protection_params[16]['sma200_1h_rising_val'] entry_16_protection__safe_dips = entry_protection_params[16]['safe_dips'] entry_16_protection__safe_dips_type = entry_protection_params[16]['safe_dips_type'] entry_16_protection__safe_pump = entry_protection_params[16]['safe_pump'] entry_16_protection__safe_pump_type = entry_protection_params[16]['safe_pump_type'] entry_16_protection__safe_pump_period = entry_protection_params[16]['safe_pump_period'] entry_16_protection__btc_1h_not_downtrend = entry_protection_params[16]['btc_1h_not_downtrend'] entry_condition_17_enable = entry_protection_params[17]['enable'] entry_17_protection__ema_fast = entry_protection_params[17]['ema_fast'] entry_17_protection__ema_fast_len = entry_protection_params[17]['ema_fast_len'] entry_17_protection__ema_slow = entry_protection_params[17]['ema_slow'] entry_17_protection__ema_slow_len = entry_protection_params[17]['ema_slow_len'] entry_17_protection__close_above_ema_fast = entry_protection_params[17]['close_above_ema_fast'] entry_17_protection__close_above_ema_fast_len = entry_protection_params[17]['close_above_ema_fast_len'] entry_17_protection__close_above_ema_slow = entry_protection_params[17]['close_above_ema_slow'] entry_17_protection__close_above_ema_slow_len = entry_protection_params[17]['close_above_ema_slow_len'] entry_17_protection__sma200_rising = entry_protection_params[17]['sma200_rising'] entry_17_protection__sma200_rising_val = entry_protection_params[17]['sma200_rising_val'] entry_17_protection__sma200_1h_rising = entry_protection_params[17]['sma200_1h_rising'] entry_17_protection__sma200_1h_rising_val = entry_protection_params[17]['sma200_1h_rising_val'] entry_17_protection__safe_dips = entry_protection_params[17]['safe_dips'] entry_17_protection__safe_dips_type = entry_protection_params[17]['safe_dips_type'] entry_17_protection__safe_pump = entry_protection_params[17]['safe_pump'] entry_17_protection__safe_pump_type = entry_protection_params[17]['safe_pump_type'] entry_17_protection__safe_pump_period = entry_protection_params[17]['safe_pump_period'] entry_17_protection__btc_1h_not_downtrend = entry_protection_params[17]['btc_1h_not_downtrend'] entry_condition_18_enable = entry_protection_params[18]['enable'] entry_18_protection__ema_fast = entry_protection_params[18]['ema_fast'] entry_18_protection__ema_fast_len = entry_protection_params[18]['ema_fast_len'] entry_18_protection__ema_slow = entry_protection_params[18]['ema_slow'] entry_18_protection__ema_slow_len = entry_protection_params[18]['ema_slow_len'] entry_18_protection__close_above_ema_fast = entry_protection_params[18]['close_above_ema_fast'] entry_18_protection__close_above_ema_fast_len = entry_protection_params[18]['close_above_ema_fast_len'] entry_18_protection__close_above_ema_slow = entry_protection_params[18]['close_above_ema_slow'] entry_18_protection__close_above_ema_slow_len = entry_protection_params[18]['close_above_ema_slow_len'] entry_18_protection__sma200_rising = entry_protection_params[18]['sma200_rising'] entry_18_protection__sma200_rising_val = entry_protection_params[18]['sma200_rising_val'] entry_18_protection__sma200_1h_rising = entry_protection_params[18]['sma200_1h_rising'] entry_18_protection__sma200_1h_rising_val = entry_protection_params[18]['sma200_1h_rising_val'] entry_18_protection__safe_dips = entry_protection_params[18]['safe_dips'] entry_18_protection__safe_dips_type = entry_protection_params[18]['safe_dips_type'] entry_18_protection__safe_pump = entry_protection_params[18]['safe_pump'] entry_18_protection__safe_pump_type = entry_protection_params[18]['safe_pump_type'] entry_18_protection__safe_pump_period = entry_protection_params[18]['safe_pump_period'] entry_18_protection__btc_1h_not_downtrend = entry_protection_params[18]['btc_1h_not_downtrend'] entry_condition_19_enable = entry_protection_params[19]['enable'] entry_19_protection__ema_fast = entry_protection_params[19]['ema_fast'] entry_19_protection__ema_fast_len = entry_protection_params[19]['ema_fast_len'] entry_19_protection__ema_slow = entry_protection_params[19]['ema_slow'] entry_19_protection__ema_slow_len = entry_protection_params[19]['ema_slow_len'] entry_19_protection__close_above_ema_fast = entry_protection_params[19]['close_above_ema_fast'] entry_19_protection__close_above_ema_fast_len = entry_protection_params[19]['close_above_ema_fast_len'] entry_19_protection__close_above_ema_slow = entry_protection_params[19]['close_above_ema_slow'] entry_19_protection__close_above_ema_slow_len = entry_protection_params[19]['close_above_ema_slow_len'] entry_19_protection__sma200_rising = entry_protection_params[19]['sma200_rising'] entry_19_protection__sma200_rising_val = entry_protection_params[19]['sma200_rising_val'] entry_19_protection__sma200_1h_rising = entry_protection_params[19]['sma200_1h_rising'] entry_19_protection__sma200_1h_rising_val = entry_protection_params[19]['sma200_1h_rising_val'] entry_19_protection__safe_dips = entry_protection_params[19]['safe_dips'] entry_19_protection__safe_dips_type = entry_protection_params[19]['safe_dips_type'] entry_19_protection__safe_pump = entry_protection_params[19]['safe_pump'] entry_19_protection__safe_pump_type = entry_protection_params[19]['safe_pump_type'] entry_19_protection__safe_pump_period = entry_protection_params[19]['safe_pump_period'] entry_19_protection__btc_1h_not_downtrend = entry_protection_params[19]['btc_1h_not_downtrend'] entry_condition_20_enable = entry_protection_params[20]['enable'] entry_20_protection__ema_fast = entry_protection_params[20]['ema_fast'] entry_20_protection__ema_fast_len = entry_protection_params[20]['ema_fast_len'] entry_20_protection__ema_slow = entry_protection_params[20]['ema_slow'] entry_20_protection__ema_slow_len = entry_protection_params[20]['ema_slow_len'] entry_20_protection__close_above_ema_fast = entry_protection_params[20]['close_above_ema_fast'] entry_20_protection__close_above_ema_fast_len = entry_protection_params[20]['close_above_ema_fast_len'] entry_20_protection__close_above_ema_slow = entry_protection_params[20]['close_above_ema_slow'] entry_20_protection__close_above_ema_slow_len = entry_protection_params[20]['close_above_ema_slow_len'] entry_20_protection__sma200_rising = entry_protection_params[20]['sma200_rising'] entry_20_protection__sma200_rising_val = entry_protection_params[20]['sma200_rising_val'] entry_20_protection__sma200_1h_rising = entry_protection_params[20]['sma200_1h_rising'] entry_20_protection__sma200_1h_rising_val = entry_protection_params[20]['sma200_1h_rising_val'] entry_20_protection__safe_dips = entry_protection_params[20]['safe_dips'] entry_20_protection__safe_dips_type = entry_protection_params[20]['safe_dips_type'] entry_20_protection__safe_pump = entry_protection_params[20]['safe_pump'] entry_20_protection__safe_pump_type = entry_protection_params[20]['safe_pump_type'] entry_20_protection__safe_pump_period = entry_protection_params[20]['safe_pump_period'] entry_20_protection__btc_1h_not_downtrend = entry_protection_params[20]['btc_1h_not_downtrend'] entry_condition_21_enable = entry_protection_params[21]['enable'] entry_21_protection__ema_fast = entry_protection_params[21]['ema_fast'] entry_21_protection__ema_fast_len = entry_protection_params[21]['ema_fast_len'] entry_21_protection__ema_slow = entry_protection_params[21]['ema_slow'] entry_21_protection__ema_slow_len = entry_protection_params[21]['ema_slow_len'] entry_21_protection__close_above_ema_fast = entry_protection_params[21]['close_above_ema_fast'] entry_21_protection__close_above_ema_fast_len = entry_protection_params[21]['close_above_ema_fast_len'] entry_21_protection__close_above_ema_slow = entry_protection_params[21]['close_above_ema_slow'] entry_21_protection__close_above_ema_slow_len = entry_protection_params[21]['close_above_ema_slow_len'] entry_21_protection__sma200_rising = entry_protection_params[21]['sma200_rising'] entry_21_protection__sma200_rising_val = entry_protection_params[21]['sma200_rising_val'] entry_21_protection__sma200_1h_rising = entry_protection_params[21]['sma200_1h_rising'] entry_21_protection__sma200_1h_rising_val = entry_protection_params[21]['sma200_1h_rising_val'] entry_21_protection__safe_dips = entry_protection_params[21]['safe_dips'] entry_21_protection__safe_dips_type = entry_protection_params[21]['safe_dips_type'] entry_21_protection__safe_pump = entry_protection_params[21]['safe_pump'] entry_21_protection__safe_pump_type = entry_protection_params[21]['safe_pump_type'] entry_21_protection__safe_pump_period = entry_protection_params[21]['safe_pump_period'] entry_21_protection__btc_1h_not_downtrend = entry_protection_params[21]['btc_1h_not_downtrend'] entry_condition_22_enable = entry_protection_params[22]['enable'] entry_22_protection__ema_fast = entry_protection_params[22]['ema_fast'] entry_22_protection__ema_fast_len = entry_protection_params[22]['ema_fast_len'] entry_22_protection__ema_slow = entry_protection_params[22]['ema_slow'] entry_22_protection__ema_slow_len = entry_protection_params[22]['ema_slow_len'] entry_22_protection__close_above_ema_fast = entry_protection_params[22]['close_above_ema_fast'] entry_22_protection__close_above_ema_fast_len = entry_protection_params[22]['close_above_ema_fast_len'] entry_22_protection__close_above_ema_slow = entry_protection_params[22]['close_above_ema_slow'] entry_22_protection__close_above_ema_slow_len = entry_protection_params[22]['close_above_ema_slow_len'] entry_22_protection__sma200_rising = entry_protection_params[22]['sma200_rising'] entry_22_protection__sma200_rising_val = entry_protection_params[22]['sma200_rising_val'] entry_22_protection__sma200_1h_rising = entry_protection_params[22]['sma200_1h_rising'] entry_22_protection__sma200_1h_rising_val = entry_protection_params[22]['sma200_1h_rising_val'] entry_22_protection__safe_dips = entry_protection_params[22]['safe_dips'] entry_22_protection__safe_dips_type = entry_protection_params[22]['safe_dips_type'] entry_22_protection__safe_pump = entry_protection_params[22]['safe_pump'] entry_22_protection__safe_pump_type = entry_protection_params[22]['safe_pump_type'] entry_22_protection__safe_pump_period = entry_protection_params[22]['safe_pump_period'] entry_22_protection__btc_1h_not_downtrend = entry_protection_params[22]['btc_1h_not_downtrend'] entry_condition_23_enable = entry_protection_params[23]['enable'] entry_23_protection__ema_fast = entry_protection_params[23]['ema_fast'] entry_23_protection__ema_fast_len = entry_protection_params[23]['ema_fast_len'] entry_23_protection__ema_slow = entry_protection_params[23]['ema_slow'] entry_23_protection__ema_slow_len = entry_protection_params[23]['ema_slow_len'] entry_23_protection__close_above_ema_fast = entry_protection_params[23]['close_above_ema_fast'] entry_23_protection__close_above_ema_fast_len = entry_protection_params[23]['close_above_ema_fast_len'] entry_23_protection__close_above_ema_slow = entry_protection_params[23]['close_above_ema_slow'] entry_23_protection__close_above_ema_slow_len = entry_protection_params[23]['close_above_ema_slow_len'] entry_23_protection__sma200_rising = entry_protection_params[23]['sma200_rising'] entry_23_protection__sma200_rising_val = entry_protection_params[23]['sma200_rising_val'] entry_23_protection__sma200_1h_rising = entry_protection_params[23]['sma200_1h_rising'] entry_23_protection__sma200_1h_rising_val = entry_protection_params[23]['sma200_1h_rising_val'] entry_23_protection__safe_dips = entry_protection_params[23]['safe_dips'] entry_23_protection__safe_dips_type = entry_protection_params[23]['safe_dips_type'] entry_23_protection__safe_pump = entry_protection_params[23]['safe_pump'] entry_23_protection__safe_pump_type = entry_protection_params[23]['safe_pump_type'] entry_23_protection__safe_pump_period = entry_protection_params[23]['safe_pump_period'] entry_23_protection__btc_1h_not_downtrend = entry_protection_params[23]['btc_1h_not_downtrend'] entry_condition_24_enable = entry_protection_params[24]['enable'] entry_24_protection__ema_fast = entry_protection_params[24]['ema_fast'] entry_24_protection__ema_fast_len = entry_protection_params[24]['ema_fast_len'] entry_24_protection__ema_slow = entry_protection_params[24]['ema_slow'] entry_24_protection__ema_slow_len = entry_protection_params[24]['ema_slow_len'] entry_24_protection__close_above_ema_fast = entry_protection_params[24]['close_above_ema_fast'] entry_24_protection__close_above_ema_fast_len = entry_protection_params[24]['close_above_ema_fast_len'] entry_24_protection__close_above_ema_slow = entry_protection_params[24]['close_above_ema_slow'] entry_24_protection__close_above_ema_slow_len = entry_protection_params[24]['close_above_ema_slow_len'] entry_24_protection__sma200_rising = entry_protection_params[24]['sma200_rising'] entry_24_protection__sma200_rising_val = entry_protection_params[24]['sma200_rising_val'] entry_24_protection__sma200_1h_rising = entry_protection_params[24]['sma200_1h_rising'] entry_24_protection__sma200_1h_rising_val = entry_protection_params[24]['sma200_1h_rising_val'] entry_24_protection__safe_dips = entry_protection_params[24]['safe_dips'] entry_24_protection__safe_dips_type = entry_protection_params[24]['safe_dips_type'] entry_24_protection__safe_pump = entry_protection_params[24]['safe_pump'] entry_24_protection__safe_pump_type = entry_protection_params[24]['safe_pump_type'] entry_24_protection__safe_pump_period = entry_protection_params[24]['safe_pump_period'] entry_24_protection__btc_1h_not_downtrend = entry_protection_params[24]['btc_1h_not_downtrend'] entry_condition_25_enable = entry_protection_params[25]['enable'] entry_25_protection__ema_fast = entry_protection_params[25]['ema_fast'] entry_25_protection__ema_fast_len = entry_protection_params[25]['ema_fast_len'] entry_25_protection__ema_slow = entry_protection_params[25]['ema_slow'] entry_25_protection__ema_slow_len = entry_protection_params[25]['ema_slow_len'] entry_25_protection__close_above_ema_fast = entry_protection_params[25]['close_above_ema_fast'] entry_25_protection__close_above_ema_fast_len = entry_protection_params[25]['close_above_ema_fast_len'] entry_25_protection__close_above_ema_slow = entry_protection_params[25]['close_above_ema_slow'] entry_25_protection__close_above_ema_slow_len = entry_protection_params[25]['close_above_ema_slow_len'] entry_25_protection__sma200_rising = entry_protection_params[25]['sma200_rising'] entry_25_protection__sma200_rising_val = entry_protection_params[25]['sma200_rising_val'] entry_25_protection__sma200_1h_rising = entry_protection_params[25]['sma200_1h_rising'] entry_25_protection__sma200_1h_rising_val = entry_protection_params[25]['sma200_1h_rising_val'] entry_25_protection__safe_dips = entry_protection_params[25]['safe_dips'] entry_25_protection__safe_dips_type = entry_protection_params[25]['safe_dips_type'] entry_25_protection__safe_pump = entry_protection_params[25]['safe_pump'] entry_25_protection__safe_pump_type = entry_protection_params[25]['safe_pump_type'] entry_25_protection__safe_pump_period = entry_protection_params[25]['safe_pump_period'] entry_25_protection__btc_1h_not_downtrend = entry_protection_params[25]['btc_1h_not_downtrend'] entry_condition_26_enable = entry_protection_params[26]['enable'] entry_26_protection__ema_fast = entry_protection_params[26]['ema_fast'] entry_26_protection__ema_fast_len = entry_protection_params[26]['ema_fast_len'] entry_26_protection__ema_slow = entry_protection_params[26]['ema_slow'] entry_26_protection__ema_slow_len = entry_protection_params[26]['ema_slow_len'] entry_26_protection__close_above_ema_fast = entry_protection_params[26]['close_above_ema_fast'] entry_26_protection__close_above_ema_fast_len = entry_protection_params[26]['close_above_ema_fast_len'] entry_26_protection__close_above_ema_slow = entry_protection_params[26]['close_above_ema_slow'] entry_26_protection__close_above_ema_slow_len = entry_protection_params[26]['close_above_ema_slow_len'] entry_26_protection__sma200_rising = entry_protection_params[26]['sma200_rising'] entry_26_protection__sma200_rising_val = entry_protection_params[26]['sma200_rising_val'] entry_26_protection__sma200_1h_rising = entry_protection_params[26]['sma200_1h_rising'] entry_26_protection__sma200_1h_rising_val = entry_protection_params[26]['sma200_1h_rising_val'] entry_26_protection__safe_dips = entry_protection_params[26]['safe_dips'] entry_26_protection__safe_dips_type = entry_protection_params[26]['safe_dips_type'] entry_26_protection__safe_pump = entry_protection_params[26]['safe_pump'] entry_26_protection__safe_pump_type = entry_protection_params[26]['safe_pump_type'] entry_26_protection__safe_pump_period = entry_protection_params[26]['safe_pump_period'] entry_26_protection__btc_1h_not_downtrend = entry_protection_params[26]['btc_1h_not_downtrend'] entry_condition_27_enable = entry_protection_params[27]['enable'] entry_27_protection__ema_fast = entry_protection_params[27]['ema_fast'] entry_27_protection__ema_fast_len = entry_protection_params[27]['ema_fast_len'] entry_27_protection__ema_slow = entry_protection_params[27]['ema_slow'] entry_27_protection__ema_slow_len = entry_protection_params[27]['ema_slow_len'] entry_27_protection__close_above_ema_fast = entry_protection_params[27]['close_above_ema_fast'] entry_27_protection__close_above_ema_fast_len = entry_protection_params[27]['close_above_ema_fast_len'] entry_27_protection__close_above_ema_slow = entry_protection_params[27]['close_above_ema_slow'] entry_27_protection__close_above_ema_slow_len = entry_protection_params[27]['close_above_ema_slow_len'] entry_27_protection__sma200_rising = entry_protection_params[27]['sma200_rising'] entry_27_protection__sma200_rising_val = entry_protection_params[27]['sma200_rising_val'] entry_27_protection__sma200_1h_rising = entry_protection_params[27]['sma200_1h_rising'] entry_27_protection__sma200_1h_rising_val = entry_protection_params[27]['sma200_1h_rising_val'] entry_27_protection__safe_dips = entry_protection_params[27]['safe_dips'] entry_27_protection__safe_dips_type = entry_protection_params[27]['safe_dips_type'] entry_27_protection__safe_pump = entry_protection_params[27]['safe_pump'] entry_27_protection__safe_pump_type = entry_protection_params[27]['safe_pump_type'] entry_27_protection__safe_pump_period = entry_protection_params[27]['safe_pump_period'] entry_27_protection__btc_1h_not_downtrend = entry_protection_params[27]['btc_1h_not_downtrend'] entry_condition_28_enable = entry_protection_params[28]['enable'] entry_28_protection__ema_fast = entry_protection_params[28]['ema_fast'] entry_28_protection__ema_fast_len = entry_protection_params[28]['ema_fast_len'] entry_28_protection__ema_slow = entry_protection_params[28]['ema_slow'] entry_28_protection__ema_slow_len = entry_protection_params[28]['ema_slow_len'] entry_28_protection__close_above_ema_fast = entry_protection_params[28]['close_above_ema_fast'] entry_28_protection__close_above_ema_fast_len = entry_protection_params[28]['close_above_ema_fast_len'] entry_28_protection__close_above_ema_slow = entry_protection_params[28]['close_above_ema_slow'] entry_28_protection__close_above_ema_slow_len = entry_protection_params[28]['close_above_ema_slow_len'] entry_28_protection__sma200_rising = entry_protection_params[28]['sma200_rising'] entry_28_protection__sma200_rising_val = entry_protection_params[28]['sma200_rising_val'] entry_28_protection__sma200_1h_rising = entry_protection_params[28]['sma200_1h_rising'] entry_28_protection__sma200_1h_rising_val = entry_protection_params[28]['sma200_1h_rising_val'] entry_28_protection__safe_dips = entry_protection_params[28]['safe_dips'] entry_28_protection__safe_dips_type = entry_protection_params[28]['safe_dips_type'] entry_28_protection__safe_pump = entry_protection_params[28]['safe_pump'] entry_28_protection__safe_pump_type = entry_protection_params[28]['safe_pump_type'] entry_28_protection__safe_pump_period = entry_protection_params[28]['safe_pump_period'] entry_28_protection__btc_1h_not_downtrend = entry_protection_params[28]['btc_1h_not_downtrend'] entry_condition_29_enable = entry_protection_params[29]['enable'] entry_29_protection__ema_fast = entry_protection_params[29]['ema_fast'] entry_29_protection__ema_fast_len = entry_protection_params[29]['ema_fast_len'] entry_29_protection__ema_slow = entry_protection_params[29]['ema_slow'] entry_29_protection__ema_slow_len = entry_protection_params[29]['ema_slow_len'] entry_29_protection__close_above_ema_fast = entry_protection_params[29]['close_above_ema_fast'] entry_29_protection__close_above_ema_fast_len = entry_protection_params[29]['close_above_ema_fast_len'] entry_29_protection__close_above_ema_slow = entry_protection_params[29]['close_above_ema_slow'] entry_29_protection__close_above_ema_slow_len = entry_protection_params[29]['close_above_ema_slow_len'] entry_29_protection__sma200_rising = entry_protection_params[29]['sma200_rising'] entry_29_protection__sma200_rising_val = entry_protection_params[29]['sma200_rising_val'] entry_29_protection__sma200_1h_rising = entry_protection_params[29]['sma200_1h_rising'] entry_29_protection__sma200_1h_rising_val = entry_protection_params[29]['sma200_1h_rising_val'] entry_29_protection__safe_dips = entry_protection_params[29]['safe_dips'] entry_29_protection__safe_dips_type = entry_protection_params[29]['safe_dips_type'] entry_29_protection__safe_pump = entry_protection_params[29]['safe_pump'] entry_29_protection__safe_pump_type = entry_protection_params[29]['safe_pump_type'] entry_29_protection__safe_pump_period = entry_protection_params[29]['safe_pump_period'] entry_29_protection__btc_1h_not_downtrend = entry_protection_params[29]['btc_1h_not_downtrend'] entry_condition_30_enable = entry_protection_params[30]['enable'] entry_30_protection__ema_fast = entry_protection_params[30]['ema_fast'] entry_30_protection__ema_fast_len = entry_protection_params[30]['ema_fast_len'] entry_30_protection__ema_slow = entry_protection_params[30]['ema_slow'] entry_30_protection__ema_slow_len = entry_protection_params[30]['ema_slow_len'] entry_30_protection__close_above_ema_fast = entry_protection_params[30]['close_above_ema_fast'] entry_30_protection__close_above_ema_fast_len = entry_protection_params[30]['close_above_ema_fast_len'] entry_30_protection__close_above_ema_slow = entry_protection_params[30]['close_above_ema_slow'] entry_30_protection__close_above_ema_slow_len = entry_protection_params[30]['close_above_ema_slow_len'] entry_30_protection__sma200_rising = entry_protection_params[30]['sma200_rising'] entry_30_protection__sma200_rising_val = entry_protection_params[30]['sma200_rising_val'] entry_30_protection__sma200_1h_rising = entry_protection_params[30]['sma200_1h_rising'] entry_30_protection__sma200_1h_rising_val = entry_protection_params[30]['sma200_1h_rising_val'] entry_30_protection__safe_dips = entry_protection_params[30]['safe_dips'] entry_30_protection__safe_dips_type = entry_protection_params[30]['safe_dips_type'] entry_30_protection__safe_pump = entry_protection_params[30]['safe_pump'] entry_30_protection__safe_pump_type = entry_protection_params[30]['safe_pump_type'] entry_30_protection__safe_pump_period = entry_protection_params[30]['safe_pump_period'] entry_30_protection__btc_1h_not_downtrend = entry_protection_params[30]['btc_1h_not_downtrend'] entry_condition_31_enable = entry_protection_params[31]['enable'] entry_31_protection__ema_fast = entry_protection_params[31]['ema_fast'] entry_31_protection__ema_fast_len = entry_protection_params[31]['ema_fast_len'] entry_31_protection__ema_slow = entry_protection_params[31]['ema_slow'] entry_31_protection__ema_slow_len = entry_protection_params[31]['ema_slow_len'] entry_31_protection__close_above_ema_fast = entry_protection_params[31]['close_above_ema_fast'] entry_31_protection__close_above_ema_fast_len = entry_protection_params[31]['close_above_ema_fast_len'] entry_31_protection__close_above_ema_slow = entry_protection_params[31]['close_above_ema_slow'] entry_31_protection__close_above_ema_slow_len = entry_protection_params[31]['close_above_ema_slow_len'] entry_31_protection__sma200_rising = entry_protection_params[31]['sma200_rising'] entry_31_protection__sma200_rising_val = entry_protection_params[31]['sma200_rising_val'] entry_31_protection__sma200_1h_rising = entry_protection_params[31]['sma200_1h_rising'] entry_31_protection__sma200_1h_rising_val = entry_protection_params[31]['sma200_1h_rising_val'] entry_31_protection__safe_dips = entry_protection_params[31]['safe_dips'] entry_31_protection__safe_dips_type = entry_protection_params[31]['safe_dips_type'] entry_31_protection__safe_pump = entry_protection_params[31]['safe_pump'] entry_31_protection__safe_pump_type = entry_protection_params[31]['safe_pump_type'] entry_31_protection__safe_pump_period = entry_protection_params[31]['safe_pump_period'] entry_31_protection__btc_1h_not_downtrend = entry_protection_params[31]['btc_1h_not_downtrend'] entry_condition_32_enable = entry_protection_params[32]['enable'] entry_32_protection__ema_fast = entry_protection_params[32]['ema_fast'] entry_32_protection__ema_fast_len = entry_protection_params[32]['ema_fast_len'] entry_32_protection__ema_slow = entry_protection_params[32]['ema_slow'] entry_32_protection__ema_slow_len = entry_protection_params[32]['ema_slow_len'] entry_32_protection__close_above_ema_fast = entry_protection_params[32]['close_above_ema_fast'] entry_32_protection__close_above_ema_fast_len = entry_protection_params[32]['close_above_ema_fast_len'] entry_32_protection__close_above_ema_slow = entry_protection_params[32]['close_above_ema_slow'] entry_32_protection__close_above_ema_slow_len = entry_protection_params[32]['close_above_ema_slow_len'] entry_32_protection__sma200_rising = entry_protection_params[32]['sma200_rising'] entry_32_protection__sma200_rising_val = entry_protection_params[32]['sma200_rising_val'] entry_32_protection__sma200_1h_rising = entry_protection_params[32]['sma200_1h_rising'] entry_32_protection__sma200_1h_rising_val = entry_protection_params[32]['sma200_1h_rising_val'] entry_32_protection__safe_dips = entry_protection_params[32]['safe_dips'] entry_32_protection__safe_dips_type = entry_protection_params[32]['safe_dips_type'] entry_32_protection__safe_pump = entry_protection_params[32]['safe_pump'] entry_32_protection__safe_pump_type = entry_protection_params[32]['safe_pump_type'] entry_32_protection__safe_pump_period = entry_protection_params[32]['safe_pump_period'] entry_32_protection__btc_1h_not_downtrend = entry_protection_params[32]['btc_1h_not_downtrend'] entry_condition_33_enable = entry_protection_params[33]['enable'] entry_33_protection__ema_fast = entry_protection_params[33]['ema_fast'] entry_33_protection__ema_fast_len = entry_protection_params[33]['ema_fast_len'] entry_33_protection__ema_slow = entry_protection_params[33]['ema_slow'] entry_33_protection__ema_slow_len = entry_protection_params[33]['ema_slow_len'] entry_33_protection__close_above_ema_fast = entry_protection_params[33]['close_above_ema_fast'] entry_33_protection__close_above_ema_fast_len = entry_protection_params[33]['close_above_ema_fast_len'] entry_33_protection__close_above_ema_slow = entry_protection_params[33]['close_above_ema_slow'] entry_33_protection__close_above_ema_slow_len = entry_protection_params[33]['close_above_ema_slow_len'] entry_33_protection__sma200_rising = entry_protection_params[33]['sma200_rising'] entry_33_protection__sma200_rising_val = entry_protection_params[33]['sma200_rising_val'] entry_33_protection__sma200_1h_rising = entry_protection_params[33]['sma200_1h_rising'] entry_33_protection__sma200_1h_rising_val = entry_protection_params[33]['sma200_1h_rising_val'] entry_33_protection__safe_dips = entry_protection_params[33]['safe_dips'] entry_33_protection__safe_dips_type = entry_protection_params[33]['safe_dips_type'] entry_33_protection__safe_pump = entry_protection_params[33]['safe_pump'] entry_33_protection__safe_pump_type = entry_protection_params[33]['safe_pump_type'] entry_33_protection__safe_pump_period = entry_protection_params[33]['safe_pump_period'] entry_33_protection__btc_1h_not_downtrend = entry_protection_params[33]['btc_1h_not_downtrend'] entry_condition_34_enable = entry_protection_params[34]['enable'] entry_34_protection__ema_fast = entry_protection_params[34]['ema_fast'] entry_34_protection__ema_fast_len = entry_protection_params[34]['ema_fast_len'] entry_34_protection__ema_slow = entry_protection_params[34]['ema_slow'] entry_34_protection__ema_slow_len = entry_protection_params[34]['ema_slow_len'] entry_34_protection__close_above_ema_fast = entry_protection_params[34]['close_above_ema_fast'] entry_34_protection__close_above_ema_fast_len = entry_protection_params[34]['close_above_ema_fast_len'] entry_34_protection__close_above_ema_slow = entry_protection_params[34]['close_above_ema_slow'] entry_34_protection__close_above_ema_slow_len = entry_protection_params[34]['close_above_ema_slow_len'] entry_34_protection__sma200_rising = entry_protection_params[34]['sma200_rising'] entry_34_protection__sma200_rising_val = entry_protection_params[34]['sma200_rising_val'] entry_34_protection__sma200_1h_rising = entry_protection_params[34]['sma200_1h_rising'] entry_34_protection__sma200_1h_rising_val = entry_protection_params[34]['sma200_1h_rising_val'] entry_34_protection__safe_dips = entry_protection_params[34]['safe_dips'] entry_34_protection__safe_dips_type = entry_protection_params[34]['safe_dips_type'] entry_34_protection__safe_pump = entry_protection_params[34]['safe_pump'] entry_34_protection__safe_pump_type = entry_protection_params[34]['safe_pump_type'] entry_34_protection__safe_pump_period = entry_protection_params[34]['safe_pump_period'] entry_34_protection__btc_1h_not_downtrend = entry_protection_params[34]['btc_1h_not_downtrend'] entry_condition_35_enable = entry_protection_params[35]['enable'] entry_35_protection__ema_fast = entry_protection_params[35]['ema_fast'] entry_35_protection__ema_fast_len = entry_protection_params[35]['ema_fast_len'] entry_35_protection__ema_slow = entry_protection_params[35]['ema_slow'] entry_35_protection__ema_slow_len = entry_protection_params[35]['ema_slow_len'] entry_35_protection__close_above_ema_fast = entry_protection_params[35]['close_above_ema_fast'] entry_35_protection__close_above_ema_fast_len = entry_protection_params[35]['close_above_ema_fast_len'] entry_35_protection__close_above_ema_slow = entry_protection_params[35]['close_above_ema_slow'] entry_35_protection__close_above_ema_slow_len = entry_protection_params[35]['close_above_ema_slow_len'] entry_35_protection__sma200_rising = entry_protection_params[35]['sma200_rising'] entry_35_protection__sma200_rising_val = entry_protection_params[35]['sma200_rising_val'] entry_35_protection__sma200_1h_rising = entry_protection_params[35]['sma200_1h_rising'] entry_35_protection__sma200_1h_rising_val = entry_protection_params[35]['sma200_1h_rising_val'] entry_35_protection__safe_dips = entry_protection_params[35]['safe_dips'] entry_35_protection__safe_dips_type = entry_protection_params[35]['safe_dips_type'] entry_35_protection__safe_pump = entry_protection_params[35]['safe_pump'] entry_35_protection__safe_pump_type = entry_protection_params[35]['safe_pump_type'] entry_35_protection__safe_pump_period = entry_protection_params[35]['safe_pump_period'] entry_35_protection__btc_1h_not_downtrend = entry_protection_params[35]['btc_1h_not_downtrend'] entry_condition_36_enable = entry_protection_params[36]['enable'] entry_36_protection__ema_fast = entry_protection_params[36]['ema_fast'] entry_36_protection__ema_fast_len = entry_protection_params[36]['ema_fast_len'] entry_36_protection__ema_slow = entry_protection_params[36]['ema_slow'] entry_36_protection__ema_slow_len = entry_protection_params[36]['ema_slow_len'] entry_36_protection__close_above_ema_fast = entry_protection_params[36]['close_above_ema_fast'] entry_36_protection__close_above_ema_fast_len = entry_protection_params[36]['close_above_ema_fast_len'] entry_36_protection__close_above_ema_slow = entry_protection_params[36]['close_above_ema_slow'] entry_36_protection__close_above_ema_slow_len = entry_protection_params[36]['close_above_ema_slow_len'] entry_36_protection__sma200_rising = entry_protection_params[36]['sma200_rising'] entry_36_protection__sma200_rising_val = entry_protection_params[36]['sma200_rising_val'] entry_36_protection__sma200_1h_rising = entry_protection_params[36]['sma200_1h_rising'] entry_36_protection__sma200_1h_rising_val = entry_protection_params[36]['sma200_1h_rising_val'] entry_36_protection__safe_dips = entry_protection_params[36]['safe_dips'] entry_36_protection__safe_dips_type = entry_protection_params[36]['safe_dips_type'] entry_36_protection__safe_pump = entry_protection_params[36]['safe_pump'] entry_36_protection__safe_pump_type = entry_protection_params[36]['safe_pump_type'] entry_36_protection__safe_pump_period = entry_protection_params[36]['safe_pump_period'] entry_36_protection__btc_1h_not_downtrend = entry_protection_params[36]['btc_1h_not_downtrend'] entry_condition_37_enable = entry_protection_params[37]['enable'] entry_37_protection__ema_fast = entry_protection_params[37]['ema_fast'] entry_37_protection__ema_fast_len = entry_protection_params[37]['ema_fast_len'] entry_37_protection__ema_slow = entry_protection_params[37]['ema_slow'] entry_37_protection__ema_slow_len = entry_protection_params[37]['ema_slow_len'] entry_37_protection__close_above_ema_fast = entry_protection_params[37]['close_above_ema_fast'] entry_37_protection__close_above_ema_fast_len = entry_protection_params[37]['close_above_ema_fast_len'] entry_37_protection__close_above_ema_slow = entry_protection_params[37]['close_above_ema_slow'] entry_37_protection__close_above_ema_slow_len = entry_protection_params[37]['close_above_ema_slow_len'] entry_37_protection__sma200_rising = entry_protection_params[37]['sma200_rising'] entry_37_protection__sma200_rising_val = entry_protection_params[37]['sma200_rising_val'] entry_37_protection__sma200_1h_rising = entry_protection_params[37]['sma200_1h_rising'] entry_37_protection__sma200_1h_rising_val = entry_protection_params[37]['sma200_1h_rising_val'] entry_37_protection__safe_dips = entry_protection_params[37]['safe_dips'] entry_37_protection__safe_dips_type = entry_protection_params[37]['safe_dips_type'] entry_37_protection__safe_pump = entry_protection_params[37]['safe_pump'] entry_37_protection__safe_pump_type = entry_protection_params[37]['safe_pump_type'] entry_37_protection__safe_pump_period = entry_protection_params[37]['safe_pump_period'] entry_37_protection__btc_1h_not_downtrend = entry_protection_params[37]['btc_1h_not_downtrend'] entry_condition_38_enable = entry_protection_params[38]['enable'] entry_38_protection__ema_fast = entry_protection_params[38]['ema_fast'] entry_38_protection__ema_fast_len = entry_protection_params[38]['ema_fast_len'] entry_38_protection__ema_slow = entry_protection_params[38]['ema_slow'] entry_38_protection__ema_slow_len = entry_protection_params[38]['ema_slow_len'] entry_38_protection__close_above_ema_fast = entry_protection_params[38]['close_above_ema_fast'] entry_38_protection__close_above_ema_fast_len = entry_protection_params[38]['close_above_ema_fast_len'] entry_38_protection__close_above_ema_slow = entry_protection_params[38]['close_above_ema_slow'] entry_38_protection__close_above_ema_slow_len = entry_protection_params[38]['close_above_ema_slow_len'] entry_38_protection__sma200_rising = entry_protection_params[38]['sma200_rising'] entry_38_protection__sma200_rising_val = entry_protection_params[38]['sma200_rising_val'] entry_38_protection__sma200_1h_rising = entry_protection_params[38]['sma200_1h_rising'] entry_38_protection__sma200_1h_rising_val = entry_protection_params[38]['sma200_1h_rising_val'] entry_38_protection__safe_dips = entry_protection_params[38]['safe_dips'] entry_38_protection__safe_dips_type = entry_protection_params[38]['safe_dips_type'] entry_38_protection__safe_pump = entry_protection_params[38]['safe_pump'] entry_38_protection__safe_pump_type = entry_protection_params[38]['safe_pump_type'] entry_38_protection__safe_pump_period = entry_protection_params[38]['safe_pump_period'] entry_38_protection__btc_1h_not_downtrend = entry_protection_params[38]['btc_1h_not_downtrend'] # Strict dips - level 10 entry_dip_threshold_10_1 = DecimalParameter(0.001, 0.05, default=0.015, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_10_2 = DecimalParameter(0.01, 0.2, default=0.1, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_10_3 = DecimalParameter(0.1, 0.3, default=0.24, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_10_4 = DecimalParameter(0.3, 0.5, default=0.42, space='entry', decimals=3, optimize=False, load=True) # Strict dips - level 20 entry_dip_threshold_20_1 = DecimalParameter(0.001, 0.05, default=0.016, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_20_2 = DecimalParameter(0.01, 0.2, default=0.11, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_20_3 = DecimalParameter(0.1, 0.4, default=0.26, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_20_4 = DecimalParameter(0.36, 0.56, default=0.44, space='entry', decimals=3, optimize=False, load=True) # Strict dips - level 30 entry_dip_threshold_30_1 = DecimalParameter(0.001, 0.05, default=0.018, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_30_2 = DecimalParameter(0.01, 0.2, default=0.12, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_30_3 = DecimalParameter(0.1, 0.4, default=0.28, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_30_4 = DecimalParameter(0.36, 0.56, default=0.46, space='entry', decimals=3, optimize=False, load=True) # Strict dips - level 40 entry_dip_threshold_40_1 = DecimalParameter(0.001, 0.05, default=0.019, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_40_2 = DecimalParameter(0.01, 0.2, default=0.13, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_40_3 = DecimalParameter(0.1, 0.4, default=0.3, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_40_4 = DecimalParameter(0.36, 0.56, default=0.48, space='entry', decimals=3, optimize=False, load=True) # Normal dips - level 50 entry_dip_threshold_50_1 = DecimalParameter(0.001, 0.05, default=0.02, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_50_2 = DecimalParameter(0.01, 0.2, default=0.14, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_50_3 = DecimalParameter(0.05, 0.4, default=0.32, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_50_4 = DecimalParameter(0.2, 0.5, default=0.5, space='entry', decimals=3, optimize=False, load=True) # Normal dips - level 60 entry_dip_threshold_60_1 = DecimalParameter(0.001, 0.05, default=0.022, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_60_2 = DecimalParameter(0.1, 0.22, default=0.18, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_60_3 = DecimalParameter(0.2, 0.4, default=0.34, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_60_4 = DecimalParameter(0.4, 0.6, default=0.56, space='entry', decimals=3, optimize=False, load=True) # Normal dips - level 70 entry_dip_threshold_70_1 = DecimalParameter(0.001, 0.05, default=0.023, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_70_2 = DecimalParameter(0.16, 0.28, default=0.2, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_70_3 = DecimalParameter(0.2, 0.4, default=0.36, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_70_4 = DecimalParameter(0.5, 0.7, default=0.6, space='entry', decimals=3, optimize=False, load=True) # Normal dips - level 80 entry_dip_threshold_80_1 = DecimalParameter(0.001, 0.05, default=0.024, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_80_2 = DecimalParameter(0.16, 0.28, default=0.22, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_80_3 = DecimalParameter(0.2, 0.4, default=0.38, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_80_4 = DecimalParameter(0.5, 0.7, default=0.66, space='entry', decimals=3, optimize=False, load=True) # Normal dips - level 70 entry_dip_threshold_90_1 = DecimalParameter(0.001, 0.05, default=0.025, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_90_2 = DecimalParameter(0.16, 0.28, default=0.23, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_90_3 = DecimalParameter(0.3, 0.5, default=0.4, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_90_4 = DecimalParameter(0.6, 0.8, default=0.7, space='entry', decimals=3, optimize=False, load=True) # Loose dips - level 100 entry_dip_threshold_100_1 = DecimalParameter(0.001, 0.05, default=0.026, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_100_2 = DecimalParameter(0.16, 0.3, default=0.24, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_100_3 = DecimalParameter(0.3, 0.5, default=0.42, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_100_4 = DecimalParameter(0.6, 1.0, default=0.8, space='entry', decimals=3, optimize=False, load=True) # Loose dips - level 110 entry_dip_threshold_110_1 = DecimalParameter(0.001, 0.05, default=0.027, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_110_2 = DecimalParameter(0.16, 0.3, default=0.26, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_110_3 = DecimalParameter(0.3, 0.5, default=0.44, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_110_4 = DecimalParameter(0.6, 1.0, default=0.84, space='entry', decimals=3, optimize=False, load=True) # Loose dips - level 120 entry_dip_threshold_120_1 = DecimalParameter(0.001, 0.05, default=0.028, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_120_2 = DecimalParameter(0.16, 0.3, default=0.28, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_120_3 = DecimalParameter(0.3, 0.5, default=0.46, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_120_4 = DecimalParameter(0.6, 1.0, default=0.86, space='entry', decimals=3, optimize=False, load=True) # Loose dips - level 130 entry_dip_threshold_130_1 = DecimalParameter(0.001, 0.05, default=0.028, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_130_2 = DecimalParameter(0.16, 0.34, default=0.3, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_130_3 = DecimalParameter(0.36, 0.56, default=0.48, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_130_4 = DecimalParameter(0.6, 1.0, default=0.9, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 10 entry_pump_pull_threshold_10_24 = DecimalParameter(1.5, 3.0, default=2.2, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_10_24 = DecimalParameter(0.4, 1.0, default=0.42, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 10 entry_pump_pull_threshold_10_36 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_10_36 = DecimalParameter(0.4, 1.0, default=0.58, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 10 entry_pump_pull_threshold_10_48 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_10_48 = DecimalParameter(0.4, 1.0, default=0.8, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 20 entry_pump_pull_threshold_20_24 = DecimalParameter(1.5, 3.0, default=2.2, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_20_24 = DecimalParameter(0.4, 1.0, default=0.46, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 20 entry_pump_pull_threshold_20_36 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_20_36 = DecimalParameter(0.4, 1.0, default=0.6, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 20 entry_pump_pull_threshold_20_48 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_20_48 = DecimalParameter(0.4, 1.0, default=0.81, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 30 entry_pump_pull_threshold_30_24 = DecimalParameter(1.5, 3.0, default=2.2, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_30_24 = DecimalParameter(0.4, 1.0, default=0.5, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 30 entry_pump_pull_threshold_30_36 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_30_36 = DecimalParameter(0.4, 1.0, default=0.62, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 30 entry_pump_pull_threshold_30_48 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_30_48 = DecimalParameter(0.4, 1.0, default=0.82, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 40 entry_pump_pull_threshold_40_24 = DecimalParameter(1.5, 3.0, default=2.2, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_40_24 = DecimalParameter(0.4, 1.0, default=0.54, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 40 entry_pump_pull_threshold_40_36 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_40_36 = DecimalParameter(0.4, 1.0, default=0.63, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 40 entry_pump_pull_threshold_40_48 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_40_48 = DecimalParameter(0.4, 1.0, default=0.84, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 50 entry_pump_pull_threshold_50_24 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_50_24 = DecimalParameter(0.4, 1.0, default=0.6, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 50 entry_pump_pull_threshold_50_36 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_50_36 = DecimalParameter(0.4, 1.0, default=0.64, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 50 entry_pump_pull_threshold_50_48 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_50_48 = DecimalParameter(0.4, 1.0, default=0.85, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 60 entry_pump_pull_threshold_60_24 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_60_24 = DecimalParameter(0.4, 1.0, default=0.62, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 60 entry_pump_pull_threshold_60_36 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_60_36 = DecimalParameter(0.4, 1.0, default=0.66, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 60 entry_pump_pull_threshold_60_48 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_60_48 = DecimalParameter(0.4, 1.0, default=0.9, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 70 entry_pump_pull_threshold_70_24 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_70_24 = DecimalParameter(0.4, 1.0, default=0.63, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 70 entry_pump_pull_threshold_70_36 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_70_36 = DecimalParameter(0.4, 1.0, default=0.67, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 70 entry_pump_pull_threshold_70_48 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_70_48 = DecimalParameter(0.4, 1.0, default=0.95, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 80 entry_pump_pull_threshold_80_24 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_80_24 = DecimalParameter(0.4, 1.0, default=0.64, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 80 entry_pump_pull_threshold_80_36 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_80_36 = DecimalParameter(0.4, 1.0, default=0.68, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 80 entry_pump_pull_threshold_80_48 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_80_48 = DecimalParameter(0.8, 1.1, default=1.0, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 90 entry_pump_pull_threshold_90_24 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_90_24 = DecimalParameter(0.4, 1.0, default=0.65, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 90 entry_pump_pull_threshold_90_36 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_90_36 = DecimalParameter(0.4, 1.0, default=0.69, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 90 entry_pump_pull_threshold_90_48 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_90_48 = DecimalParameter(0.8, 1.2, default=1.1, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 100 entry_pump_pull_threshold_100_24 = DecimalParameter(1.5, 3.0, default=1.7, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_100_24 = DecimalParameter(0.4, 1.0, default=0.66, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 100 entry_pump_pull_threshold_100_36 = DecimalParameter(1.5, 3.0, default=1.7, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_100_36 = DecimalParameter(0.4, 1.0, default=0.7, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 100 entry_pump_pull_threshold_100_48 = DecimalParameter(1.3, 2.0, default=1.4, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_100_48 = DecimalParameter(0.4, 1.8, default=1.6, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 110 entry_pump_pull_threshold_110_24 = DecimalParameter(1.5, 3.0, default=1.7, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_110_24 = DecimalParameter(0.4, 1.0, default=0.7, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 110 entry_pump_pull_threshold_110_36 = DecimalParameter(1.5, 3.0, default=1.7, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_110_36 = DecimalParameter(0.4, 1.0, default=0.74, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 110 entry_pump_pull_threshold_110_48 = DecimalParameter(1.3, 2.0, default=1.4, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_110_48 = DecimalParameter(1.4, 2.0, default=1.8, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 120 entry_pump_pull_threshold_120_24 = DecimalParameter(1.5, 3.0, default=1.7, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_120_24 = DecimalParameter(0.4, 1.0, default=0.78, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 120 entry_pump_pull_threshold_120_36 = DecimalParameter(1.5, 3.0, default=1.7, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_120_36 = DecimalParameter(0.4, 1.0, default=0.78, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 120 entry_pump_pull_threshold_120_48 = DecimalParameter(1.3, 2.0, default=1.4, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_120_48 = DecimalParameter(1.4, 2.8, default=2.0, space='entry', decimals=3, optimize=False, load=True) # 5 hours - level 10 entry_dump_protection_10_5 = DecimalParameter(0.3, 0.8, default=0.4, space='entry', decimals=2, optimize=False, load=True) # 5 hours - level 20 entry_dump_protection_20_5 = DecimalParameter(0.3, 0.8, default=0.44, space='entry', decimals=2, optimize=False, load=True) # 5 hours - level 30 entry_dump_protection_30_5 = DecimalParameter(0.3, 0.8, default=0.5, space='entry', decimals=2, optimize=False, load=True) # 5 hours - level 40 entry_dump_protection_40_5 = DecimalParameter(0.3, 0.8, default=0.58, space='entry', decimals=2, optimize=False, load=True) # 5 hours - level 50 entry_dump_protection_50_5 = DecimalParameter(0.3, 0.8, default=0.66, space='entry', decimals=2, optimize=False, load=True) # 5 hours - level 60 entry_dump_protection_60_5 = DecimalParameter(0.3, 0.8, default=0.74, space='entry', decimals=2, optimize=False, load=True) entry_min_inc_1 = DecimalParameter(0.01, 0.05, default=0.021, space='entry', decimals=3, optimize=False, load=True) entry_rsi_1h_min_1 = DecimalParameter(25.0, 40.0, default=20.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_max_1 = DecimalParameter(70.0, 90.0, default=84.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1 = DecimalParameter(20.0, 40.0, default=35.4, space='entry', decimals=1, optimize=False, load=True) entry_mfi_1 = DecimalParameter(20.0, 40.0, default=50.0, space='entry', decimals=1, optimize=False, load=True) entry_cti_1 = DecimalParameter(-0.99, -0.5, default=-0.87, space='entry', decimals=2, optimize=False, load=True) entry_rsi_1h_min_2 = DecimalParameter(30.0, 40.0, default=32.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_max_2 = DecimalParameter(70.0, 95.0, default=84.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_diff_2 = DecimalParameter(30.0, 50.0, default=38.8, space='entry', decimals=1, optimize=False, load=True) entry_mfi_2 = DecimalParameter(30.0, 56.0, default=49.0, space='entry', decimals=1, optimize=False, load=True) entry_bb_offset_2 = DecimalParameter(0.97, 0.999, default=0.983, space='entry', decimals=3, optimize=False, load=True) entry_volume_2 = DecimalParameter(0.6, 6.0, default=1.6, space='entry', decimals=1, optimize=False, load=True) entry_bb40_bbdelta_close_3 = DecimalParameter(0.005, 0.06, default=0.045, space='entry', optimize=False, load=True) entry_bb40_closedelta_close_3 = DecimalParameter(0.01, 0.03, default=0.022, space='entry', optimize=False, load=True) entry_bb40_tail_bbdelta_3 = DecimalParameter(0.15, 0.45, default=0.418, space='entry', optimize=False, load=True) entry_ema_rel_3 = DecimalParameter(0.97, 0.999, default=0.986, space='entry', decimals=3, optimize=False, load=True) entry_cti_3 = DecimalParameter(-0.99, -0.5, default=-0.9, space='entry', decimals=2, optimize=False, load=True) entry_bb20_close_bblowerband_4 = DecimalParameter(0.96, 0.99, default=0.979, space='entry', optimize=False, load=True) entry_bb20_volume_4 = DecimalParameter(1.0, 20.0, default=10.0, space='entry', decimals=2, optimize=False, load=True) entry_cti_4 = DecimalParameter(-0.99, -0.5, default=-0.68, space='entry', decimals=2, optimize=False, load=True) entry_ema_open_mult_5 = DecimalParameter(0.016, 0.03, default=0.018, space='entry', decimals=3, optimize=False, load=True) entry_bb_offset_5 = DecimalParameter(0.98, 1.0, default=0.996, space='entry', decimals=3, optimize=False, load=True) entry_ema_rel_5 = DecimalParameter(0.97, 0.999, default=0.938, space='entry', decimals=3, optimize=False, load=True) entry_cti_5 = DecimalParameter(-0.99, -0.5, default=-0.84, space='entry', decimals=2, optimize=False, load=True) entry_volume_5 = DecimalParameter(0.6, 6.0, default=1.8, space='entry', decimals=1, optimize=False, load=True) entry_ema_open_mult_6 = DecimalParameter(0.02, 0.03, default=0.021, space='entry', decimals=3, optimize=False, load=True) entry_bb_offset_6 = DecimalParameter(0.98, 0.999, default=0.984, space='entry', decimals=3, optimize=False, load=True) entry_ema_open_mult_7 = DecimalParameter(0.02, 0.04, default=0.031, space='entry', decimals=3, optimize=False, load=True) entry_cti_7 = DecimalParameter(-0.99, -0.5, default=-0.89, space='entry', decimals=2, optimize=False, load=True) entry_cti_8 = DecimalParameter(-0.99, -0.5, default=-0.88, space='entry', decimals=2, optimize=False, load=True) entry_rsi_8 = DecimalParameter(20.0, 50.0, default=40.0, space='entry', decimals=1, optimize=False, load=True) entry_bb_offset_8 = DecimalParameter(0.98, 1.0, default=0.99, space='entry', decimals=3, optimize=False, load=True) entry_rsi_1h_8 = DecimalParameter(40.0, 66.0, default=64.0, space='entry', decimals=1, optimize=False, load=True) entry_volume_8 = DecimalParameter(0.6, 6.0, default=1.8, space='entry', decimals=1, optimize=False, load=True) entry_ma_offset_9 = DecimalParameter(0.91, 0.94, default=0.922, space='entry', decimals=3, optimize=False, load=True) entry_bb_offset_9 = DecimalParameter(0.96, 0.98, default=0.942, space='entry', decimals=3, optimize=False, load=True) entry_rsi_1h_min_9 = DecimalParameter(26.0, 40.0, default=20.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_max_9 = DecimalParameter(70.0, 90.0, default=88.0, space='entry', decimals=1, optimize=False, load=True) entry_mfi_9 = DecimalParameter(36.0, 56.0, default=50.0, space='entry', decimals=1, optimize=False, load=True) entry_ma_offset_10 = DecimalParameter(0.93, 0.97, default=0.948, space='entry', decimals=3, optimize=False, load=True) entry_bb_offset_10 = DecimalParameter(0.97, 0.99, default=0.985, space='entry', decimals=3, optimize=False, load=True) entry_rsi_1h_10 = DecimalParameter(20.0, 40.0, default=37.0, space='entry', decimals=1, optimize=False, load=True) entry_ma_offset_11 = DecimalParameter(0.93, 0.99, default=0.934, space='entry', decimals=3, optimize=False, load=True) entry_min_inc_11 = DecimalParameter(0.005, 0.05, default=0.02, space='entry', decimals=3, optimize=False, load=True) entry_rsi_1h_min_11 = DecimalParameter(40.0, 60.0, default=55.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_max_11 = DecimalParameter(70.0, 90.0, default=84.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_11 = DecimalParameter(34.0, 50.0, default=44.0, space='entry', decimals=1, optimize=False, load=True) entry_mfi_11 = DecimalParameter(30.0, 46.0, default=36.0, space='entry', decimals=1, optimize=False, load=True) entry_ma_offset_12 = DecimalParameter(0.93, 0.97, default=0.907, space='entry', decimals=3, optimize=False, load=True) entry_rsi_12 = DecimalParameter(26.0, 40.0, default=34.0, space='entry', decimals=1, optimize=False, load=True) entry_ewo_12 = DecimalParameter(1.0, 6.0, default=1.8, space='entry', decimals=1, optimize=False, load=True) entry_ma_offset_13 = DecimalParameter(0.93, 0.98, default=0.99, space='entry', decimals=3, optimize=False, load=True) entry_cti_13 = DecimalParameter(-0.99, -0.5, default=-0.74, space='entry', decimals=2, optimize=False, load=True) entry_ewo_13 = DecimalParameter(-14.0, -7.0, default=-9.6, space='entry', decimals=1, optimize=False, load=True) entry_ema_open_mult_14 = DecimalParameter(0.01, 0.03, default=0.014, space='entry', decimals=3, optimize=False, load=True) entry_bb_offset_14 = DecimalParameter(0.98, 1.0, default=0.988, space='entry', decimals=3, optimize=False, load=True) entry_ma_offset_14 = DecimalParameter(0.93, 0.99, default=0.98, space='entry', decimals=3, optimize=False, load=True) entry_cti_14 = DecimalParameter(-0.99, -0.5, default=-0.86, space='entry', decimals=2, optimize=False, load=True) entry_ema_open_mult_15 = DecimalParameter(0.01, 0.03, default=0.024, space='entry', decimals=3, optimize=False, load=True) entry_ma_offset_15 = DecimalParameter(0.93, 0.99, default=0.96, space='entry', decimals=3, optimize=False, load=True) entry_rsi_15 = DecimalParameter(20.0, 36.0, default=28.0, space='entry', decimals=1, optimize=False, load=True) entry_ema_rel_15 = DecimalParameter(0.97, 0.999, default=0.977, space='entry', decimals=3, optimize=False, load=True) entry_ma_offset_16 = DecimalParameter(0.93, 0.97, default=0.952, space='entry', decimals=3, optimize=False, load=True) entry_rsi_16 = DecimalParameter(26.0, 50.0, default=31.0, space='entry', decimals=1, optimize=False, load=True) entry_ewo_16 = DecimalParameter(2.0, 6.0, default=2.8, space='entry', decimals=1, optimize=False, load=True) entry_cti_16 = DecimalParameter(-0.99, -0.5, default=-0.84, space='entry', decimals=2, optimize=False, load=True) entry_ma_offset_17 = DecimalParameter(0.93, 0.98, default=0.94, space='entry', decimals=3, optimize=False, load=True) entry_ewo_17 = DecimalParameter(-18.0, -10.0, default=-12.4, space='entry', decimals=1, optimize=False, load=True) entry_cti_17 = DecimalParameter(-0.99, -0.5, default=-0.92, space='entry', decimals=2, optimize=False, load=True) entry_volume_17 = DecimalParameter(0.6, 6.0, default=2.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_18 = DecimalParameter(16.0, 32.0, default=30.0, space='entry', decimals=1, optimize=False, load=True) entry_bb_offset_18 = DecimalParameter(0.98, 1.0, default=0.985, space='entry', decimals=3, optimize=False, load=True) entry_volume_18 = DecimalParameter(0.6, 6.0, default=2.0, space='entry', decimals=1, optimize=False, load=True) entry_cti_18 = DecimalParameter(-0.99, -0.5, default=-0.82, space='entry', decimals=2, optimize=False, load=True) entry_rsi_1h_min_19 = DecimalParameter(40.0, 70.0, default=30.0, space='entry', decimals=1, optimize=False, load=True) entry_chop_min_19 = DecimalParameter(20.0, 60.0, default=23.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_20 = DecimalParameter(20.0, 36.0, default=36.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_20 = DecimalParameter(14.0, 30.0, default=16.0, space='entry', decimals=1, optimize=False, load=True) entry_cti_20 = DecimalParameter(-0.99, -0.5, default=-0.9, space='entry', decimals=2, optimize=False, load=True) entry_volume_20 = DecimalParameter(0.6, 6.0, default=2.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_21 = DecimalParameter(10.0, 28.0, default=14.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_21 = DecimalParameter(18.0, 40.0, default=28.0, space='entry', decimals=1, optimize=False, load=True) entry_cti_21 = DecimalParameter(-0.99, -0.4, default=-0.9, space='entry', decimals=2, optimize=False, load=True) entry_volume_21 = DecimalParameter(0.6, 6.0, default=2.0, space='entry', decimals=1, optimize=False, load=True) entry_volume_22 = DecimalParameter(0.5, 6.0, default=2.0, space='entry', decimals=1, optimize=False, load=True) entry_bb_offset_22 = DecimalParameter(0.98, 1.0, default=0.984, space='entry', decimals=3, optimize=False, load=True) entry_ma_offset_22 = DecimalParameter(0.93, 0.98, default=0.946, space='entry', decimals=3, optimize=False, load=True) entry_ewo_22 = DecimalParameter(2.0, 10.0, default=6.2, space='entry', decimals=1, optimize=False, load=True) entry_rsi_22 = DecimalParameter(26.0, 56.0, default=37.0, space='entry', decimals=1, optimize=False, load=True) entry_bb_offset_23 = DecimalParameter(0.97, 1.0, default=0.983, space='entry', decimals=3, optimize=False, load=True) entry_ewo_23 = DecimalParameter(2.0, 10.0, default=7.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_23 = DecimalParameter(20.0, 40.0, default=30.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_23 = DecimalParameter(60.0, 80.0, default=70.0, space='entry', decimals=1, optimize=False, load=True) entry_24_rsi_max = DecimalParameter(26.0, 60.0, default=50.0, space='entry', decimals=1, optimize=False, load=True) entry_24_rsi_1h_min = DecimalParameter(40.0, 90.0, default=66.9, space='entry', decimals=1, optimize=False, load=True) entry_25_ma_offset = DecimalParameter(0.9, 0.99, default=0.922, space='entry', optimize=False, load=True) entry_25_rsi_4 = DecimalParameter(26.0, 40.0, default=38.0, space='entry', decimals=1, optimize=False, load=True) entry_25_cti = DecimalParameter(-0.99, -0.4, default=-0.76, space='entry', decimals=2, optimize=False, load=True) entry_26_zema_low_offset = DecimalParameter(0.9, 0.99, default=0.932, space='entry', optimize=False, load=True) entry_26_cti = DecimalParameter(-0.99, -0.4, default=-0.8, space='entry', decimals=2, optimize=False, load=True) entry_26_volume = DecimalParameter(0.6, 6.0, default=1.2, space='entry', decimals=1, optimize=False, load=True) entry_27_wr_max = DecimalParameter(95, 99, default=99.0, space='entry', decimals=1, optimize=False, load=True) entry_27_wr_1h_max = DecimalParameter(90, 99, default=97.6, space='entry', decimals=1, optimize=False, load=True) entry_27_rsi_max = DecimalParameter(40, 70, default=50, space='entry', decimals=0, optimize=False, load=True) entry_27_cti = DecimalParameter(-0.99, -0.4, default=-0.9, space='entry', decimals=2, optimize=False, load=True) entry_27_volume = DecimalParameter(0.6, 6.0, default=2.0, space='entry', decimals=1, optimize=False, load=True) entry_28_ma_offset = DecimalParameter(0.9, 0.99, default=0.92, space='entry', optimize=False, load=True) entry_28_ewo = DecimalParameter(2.0, 14.0, default=12.4, space='entry', decimals=1, optimize=False, load=True) entry_28_rsi = DecimalParameter(24.0, 44.0, default=38.0, space='entry', decimals=1, optimize=False, load=True) entry_28_cti = DecimalParameter(-0.99, -0.4, default=-0.6, space='entry', decimals=2, optimize=False, load=True) entry_29_ma_offset = DecimalParameter(0.9, 0.99, default=0.91, space='entry', optimize=False, load=True) entry_29_ewo = DecimalParameter(-14.0, -2.0, default=-4.0, space='entry', decimals=1, optimize=False, load=True) entry_29_cti = DecimalParameter(-0.99, -0.4, default=-0.82, space='entry', decimals=2, optimize=False, load=True) entry_30_ma_offset = DecimalParameter(0.9, 0.99, default=0.97, space='entry', optimize=False, load=True) entry_30_ewo = DecimalParameter(2.0, 14.0, default=7.8, space='entry', decimals=1, optimize=False, load=True) entry_30_rsi = DecimalParameter(24.0, 48.0, default=42.0, space='entry', decimals=1, optimize=False, load=True) entry_30_cti = DecimalParameter(-0.99, -0.4, default=-0.8, space='entry', decimals=2, optimize=False, load=True) entry_31_ma_offset = DecimalParameter(0.9, 0.99, default=0.94, space='entry', optimize=False, load=True) entry_31_ewo = DecimalParameter(-22.0, -8.0, default=-19.0, space='entry', decimals=1, optimize=False, load=True) entry_31_wr = DecimalParameter(-99.9, -95.0, default=-98.4, space='entry', decimals=1, optimize=False, load=True) entry_32_ma_offset = DecimalParameter(0.9, 0.99, default=0.946, space='entry', optimize=False, load=True) entry_32_dip = DecimalParameter(0.001, 0.02, default=0.005, space='entry', decimals=3, optimize=False, load=True) entry_32_rsi = DecimalParameter(24.0, 50.0, default=46.0, space='entry', decimals=1, optimize=False, load=True) entry_32_cti = DecimalParameter(-0.99, -0.4, default=-0.8, space='entry', decimals=2, optimize=False, load=True) entry_33_ma_offset = DecimalParameter(0.9, 0.99, default=0.974, space='entry', optimize=False, load=True) entry_33_rsi = DecimalParameter(24.0, 50.0, default=32.0, space='entry', decimals=1, optimize=False, load=True) entry_33_cti = DecimalParameter(-0.99, -0.4, default=-0.9, space='entry', decimals=2, optimize=False, load=True) entry_33_ewo = DecimalParameter(2.0, 14.0, default=9.0, space='entry', decimals=1, optimize=False, load=True) entry_33_volume = DecimalParameter(0.6, 6.0, default=2.0, space='entry', decimals=1, optimize=False, load=True) entry_34_ma_offset = DecimalParameter(0.9, 0.99, default=0.968, space='entry', optimize=False, load=True) entry_34_dip = DecimalParameter(0.001, 0.02, default=0.002, space='entry', decimals=3, optimize=False, load=True) entry_34_ewo = DecimalParameter(-24.0, -8.0, default=-20.0, space='entry', decimals=1, optimize=False, load=True) entry_34_cti = DecimalParameter(-0.99, -0.4, default=-0.88, space='entry', decimals=2, optimize=False, load=True) entry_34_volume = DecimalParameter(0.6, 6.0, default=1.1, space='entry', decimals=1, optimize=False, load=True) # Sell exit_condition_1_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) exit_condition_2_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) exit_condition_3_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) exit_condition_4_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) exit_condition_5_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) exit_condition_6_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) exit_condition_7_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) exit_condition_8_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) # 48h for pump exit checks exit_pump_threshold_48_1 = DecimalParameter(0.5, 1.2, default=0.9, space='exit', decimals=2, optimize=False, load=True) exit_pump_threshold_48_2 = DecimalParameter(0.4, 0.9, default=0.7, space='exit', decimals=2, optimize=False, load=True) exit_pump_threshold_48_3 = DecimalParameter(0.3, 0.7, default=0.5, space='exit', decimals=2, optimize=False, load=True) # 36h for pump exit checks exit_pump_threshold_36_1 = DecimalParameter(0.5, 0.9, default=0.72, space='exit', decimals=2, optimize=False, load=True) exit_pump_threshold_36_2 = DecimalParameter(3.0, 6.0, default=4.0, space='exit', decimals=2, optimize=False, load=True) exit_pump_threshold_36_3 = DecimalParameter(0.8, 1.6, default=1.0, space='exit', decimals=2, optimize=False, load=True) # 24h for pump exit checks exit_pump_threshold_24_1 = DecimalParameter(0.5, 0.9, default=0.68, space='exit', decimals=2, optimize=False, load=True) exit_pump_threshold_24_2 = DecimalParameter(0.3, 0.6, default=0.62, space='exit', decimals=2, optimize=False, load=True) exit_pump_threshold_24_3 = DecimalParameter(0.2, 0.5, default=0.88, space='exit', decimals=2, optimize=False, load=True) exit_rsi_bb_1 = DecimalParameter(60.0, 80.0, default=79.5, space='exit', decimals=1, optimize=False, load=True) exit_rsi_bb_2 = DecimalParameter(72.0, 90.0, default=81, space='exit', decimals=1, optimize=False, load=True) exit_rsi_main_3 = DecimalParameter(77.0, 90.0, default=82, space='exit', decimals=1, optimize=False, load=True) exit_dual_rsi_rsi_4 = DecimalParameter(72.0, 84.0, default=73.4, space='exit', decimals=1, optimize=False, load=True) exit_dual_rsi_rsi_1h_4 = DecimalParameter(78.0, 92.0, default=79.6, space='exit', decimals=1, optimize=False, load=True) exit_ema_relative_5 = DecimalParameter(0.005, 0.05, default=0.024, space='exit', optimize=False, load=True) exit_rsi_diff_5 = DecimalParameter(0.0, 20.0, default=4.4, space='exit', optimize=False, load=True) exit_rsi_under_6 = DecimalParameter(72.0, 90.0, default=79.0, space='exit', decimals=1, optimize=False, load=True) exit_rsi_1h_7 = DecimalParameter(80.0, 95.0, default=81.7, space='exit', decimals=1, optimize=False, load=True) exit_bb_relative_8 = DecimalParameter(1.05, 1.3, default=1.1, space='exit', decimals=3, optimize=False, load=True) # Profit over EMA200 exit_custom_profit_0 = DecimalParameter(0.01, 0.1, default=0.012, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_0 = DecimalParameter(30.0, 40.0, default=34.0, space='exit', decimals=3, optimize=False, load=True) exit_custom_profit_1 = DecimalParameter(0.01, 0.1, default=0.02, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_1 = DecimalParameter(30.0, 50.0, default=35.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_2 = DecimalParameter(0.01, 0.1, default=0.03, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_2 = DecimalParameter(30.0, 50.0, default=37.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_3 = DecimalParameter(0.01, 0.1, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_3 = DecimalParameter(30.0, 50.0, default=42.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_4 = DecimalParameter(0.01, 0.1, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_4 = DecimalParameter(35.0, 50.0, default=43.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_5 = DecimalParameter(0.01, 0.1, default=0.06, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_5 = DecimalParameter(35.0, 50.0, default=45.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_6 = DecimalParameter(0.01, 0.1, default=0.07, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_6 = DecimalParameter(38.0, 55.0, default=52.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_7 = DecimalParameter(0.01, 0.1, default=0.08, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_7 = DecimalParameter(40.0, 58.0, default=54.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_8 = DecimalParameter(0.06, 0.1, default=0.09, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_8 = DecimalParameter(40.0, 50.0, default=55.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_9 = DecimalParameter(0.05, 0.14, default=0.1, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_9 = DecimalParameter(40.0, 60.0, default=54.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_10 = DecimalParameter(0.1, 0.14, default=0.12, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_10 = DecimalParameter(38.0, 50.0, default=42.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_11 = DecimalParameter(0.16, 0.45, default=0.2, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_11 = DecimalParameter(28.0, 40.0, default=34.0, space='exit', decimals=2, optimize=False, load=True) # Profit under EMA200 exit_custom_under_profit_0 = DecimalParameter(0.01, 0.4, default=0.01, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_0 = DecimalParameter(28.0, 40.0, default=38.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_1 = DecimalParameter(0.01, 0.1, default=0.02, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_1 = DecimalParameter(36.0, 60.0, default=56.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_2 = DecimalParameter(0.01, 0.1, default=0.03, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_2 = DecimalParameter(46.0, 66.0, default=57.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_3 = DecimalParameter(0.01, 0.1, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_3 = DecimalParameter(50.0, 68.0, default=58.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_4 = DecimalParameter(0.02, 0.1, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_4 = DecimalParameter(50.0, 68.0, default=59.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_5 = DecimalParameter(0.02, 0.1, default=0.06, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_5 = DecimalParameter(46.0, 62.0, default=60.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_6 = DecimalParameter(0.03, 0.1, default=0.07, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_6 = DecimalParameter(44.0, 60.0, default=56.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_7 = DecimalParameter(0.04, 0.1, default=0.08, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_7 = DecimalParameter(46.0, 60.0, default=54.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_8 = DecimalParameter(0.06, 0.12, default=0.09, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_8 = DecimalParameter(40.0, 58.0, default=55.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_9 = DecimalParameter(0.08, 0.14, default=0.1, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_9 = DecimalParameter(40.0, 60.0, default=54.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_10 = DecimalParameter(0.1, 0.16, default=0.12, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_10 = DecimalParameter(30.0, 50.0, default=42.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_11 = DecimalParameter(0.16, 0.3, default=0.2, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_11 = DecimalParameter(24.0, 40.0, default=34.0, space='exit', decimals=1, optimize=False, load=True) # Profit targets for pumped pairs 48h 1 exit_custom_pump_profit_1_1 = DecimalParameter(0.01, 0.03, default=0.01, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_1_1 = DecimalParameter(26.0, 40.0, default=34.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_1_2 = DecimalParameter(0.01, 0.6, default=0.02, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_1_2 = DecimalParameter(36.0, 50.0, default=40.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_1_3 = DecimalParameter(0.02, 0.1, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_1_3 = DecimalParameter(38.0, 50.0, default=42.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_1_4 = DecimalParameter(0.06, 0.12, default=0.1, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_1_4 = DecimalParameter(36.0, 48.0, default=42.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_1_5 = DecimalParameter(0.14, 0.24, default=0.2, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_1_5 = DecimalParameter(20.0, 40.0, default=34.0, space='exit', decimals=1, optimize=False, load=True) # Profit targets for pumped pairs 36h 1 exit_custom_pump_profit_2_1 = DecimalParameter(0.01, 0.03, default=0.01, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_2_1 = DecimalParameter(26.0, 40.0, default=34.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_2_2 = DecimalParameter(0.01, 0.6, default=0.02, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_2_2 = DecimalParameter(36.0, 50.0, default=40.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_2_3 = DecimalParameter(0.02, 0.1, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_2_3 = DecimalParameter(38.0, 50.0, default=40.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_2_4 = DecimalParameter(0.06, 0.12, default=0.1, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_2_4 = DecimalParameter(36.0, 48.0, default=42.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_2_5 = DecimalParameter(0.14, 0.24, default=0.2, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_2_5 = DecimalParameter(20.0, 40.0, default=34.0, space='exit', decimals=1, optimize=False, load=True) # Profit targets for pumped pairs 24h 1 exit_custom_pump_profit_3_1 = DecimalParameter(0.01, 0.03, default=0.01, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_3_1 = DecimalParameter(26.0, 40.0, default=34.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_3_2 = DecimalParameter(0.01, 0.6, default=0.02, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_3_2 = DecimalParameter(34.0, 50.0, default=40.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_3_3 = DecimalParameter(0.02, 0.1, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_3_3 = DecimalParameter(38.0, 50.0, default=40.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_3_4 = DecimalParameter(0.06, 0.12, default=0.1, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_3_4 = DecimalParameter(36.0, 48.0, default=42.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_3_5 = DecimalParameter(0.14, 0.24, default=0.2, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_3_5 = DecimalParameter(20.0, 40.0, default=34.0, space='exit', decimals=1, optimize=False, load=True) # SMA descending exit_custom_dec_profit_min_1 = DecimalParameter(0.01, 0.1, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_dec_profit_max_1 = DecimalParameter(0.06, 0.16, default=0.12, space='exit', decimals=3, optimize=False, load=True) # Under EMA100 exit_custom_dec_profit_min_2 = DecimalParameter(0.05, 0.12, default=0.07, space='exit', decimals=3, optimize=False, load=True) exit_custom_dec_profit_max_2 = DecimalParameter(0.06, 0.2, default=0.16, space='exit', decimals=3, optimize=False, load=True) # Trail 1 exit_trail_profit_min_1 = DecimalParameter(0.1, 0.2, default=0.03, space='exit', decimals=2, optimize=False, load=True) exit_trail_profit_max_1 = DecimalParameter(0.4, 0.7, default=0.05, space='exit', decimals=2, optimize=False, load=True) exit_trail_down_1 = DecimalParameter(0.01, 0.08, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_trail_rsi_min_1 = DecimalParameter(16.0, 36.0, default=10.0, space='exit', decimals=1, optimize=False, load=True) exit_trail_rsi_max_1 = DecimalParameter(30.0, 50.0, default=20.0, space='exit', decimals=1, optimize=False, load=True) # Trail 2 exit_trail_profit_min_2 = DecimalParameter(0.08, 0.16, default=0.1, space='exit', decimals=3, optimize=False, load=True) exit_trail_profit_max_2 = DecimalParameter(0.3, 0.5, default=0.4, space='exit', decimals=2, optimize=False, load=True) exit_trail_down_2 = DecimalParameter(0.02, 0.08, default=0.03, space='exit', decimals=3, optimize=False, load=True) exit_trail_rsi_min_2 = DecimalParameter(16.0, 36.0, default=20.0, space='exit', decimals=1, optimize=False, load=True) exit_trail_rsi_max_2 = DecimalParameter(30.0, 50.0, default=50.0, space='exit', decimals=1, optimize=False, load=True) # Trail 3 exit_trail_profit_min_3 = DecimalParameter(0.01, 0.12, default=0.06, space='exit', decimals=3, optimize=False, load=True) exit_trail_profit_max_3 = DecimalParameter(0.1, 0.3, default=0.2, space='exit', decimals=2, optimize=False, load=True) exit_trail_down_3 = DecimalParameter(0.01, 0.06, default=0.05, space='exit', decimals=3, optimize=False, load=True) # Trail 4 exit_trail_profit_min_4 = DecimalParameter(0.01, 0.12, default=0.03, space='exit', decimals=3, optimize=False, load=True) exit_trail_profit_max_4 = DecimalParameter(0.02, 0.1, default=0.06, space='exit', decimals=2, optimize=False, load=True) exit_trail_down_4 = DecimalParameter(0.01, 0.06, default=0.02, space='exit', decimals=3, optimize=False, load=True) # Under & near EMA200, accept profit exit_custom_profit_under_profit_min_1 = DecimalParameter(0.0, 0.01, default=0.0, space='exit', optimize=False, load=True) exit_custom_profit_under_profit_max_1 = DecimalParameter(0.0, 0.05, default=0.02, space='exit', optimize=False, load=True) exit_custom_profit_under_rel_1 = DecimalParameter(0.01, 0.04, default=0.024, space='exit', optimize=False, load=True) exit_custom_profit_under_rsi_diff_1 = DecimalParameter(0.0, 20.0, default=4.4, space='exit', optimize=False, load=True) exit_custom_profit_under_profit_2 = DecimalParameter(0.0, 0.05, default=0.03, space='exit', optimize=False, load=True) exit_custom_profit_under_rel_2 = DecimalParameter(0.01, 0.04, default=0.024, space='exit', optimize=False, load=True) exit_custom_profit_under_rsi_diff_2 = DecimalParameter(0.0, 20.0, default=4.4, space='exit', optimize=False, load=True) # Under & near EMA200, take the loss exit_custom_stoploss_under_rel_1 = DecimalParameter(0.001, 0.02, default=0.002, space='exit', optimize=False, load=True) exit_custom_stoploss_under_rsi_diff_1 = DecimalParameter(0.0, 20.0, default=10.0, space='exit', optimize=False, load=True) # Long duration/recover stoploss 1 exit_custom_stoploss_long_profit_min_1 = DecimalParameter(-0.1, -0.02, default=-0.08, space='exit', optimize=False, load=True) exit_custom_stoploss_long_profit_max_1 = DecimalParameter(-0.06, -0.01, default=-0.04, space='exit', optimize=False, load=True) exit_custom_stoploss_long_recover_1 = DecimalParameter(0.05, 0.15, default=0.14, space='exit', optimize=False, load=True) exit_custom_stoploss_long_rsi_diff_1 = DecimalParameter(0.0, 20.0, default=4.0, space='exit', optimize=False, load=True) # Long duration/recover stoploss 2 exit_custom_stoploss_long_recover_2 = DecimalParameter(0.03, 0.15, default=0.06, space='exit', optimize=False, load=True) exit_custom_stoploss_long_rsi_diff_2 = DecimalParameter(30.0, 50.0, default=40.0, space='exit', optimize=False, load=True) # Pumped, descending SMA exit_custom_pump_dec_profit_min_1 = DecimalParameter(0.001, 0.04, default=0.005, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_dec_profit_max_1 = DecimalParameter(0.03, 0.08, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_dec_profit_min_2 = DecimalParameter(0.01, 0.08, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_dec_profit_max_2 = DecimalParameter(0.04, 0.1, default=0.06, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_dec_profit_min_3 = DecimalParameter(0.02, 0.1, default=0.06, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_dec_profit_max_3 = DecimalParameter(0.06, 0.12, default=0.09, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_dec_profit_min_4 = DecimalParameter(0.01, 0.05, default=0.02, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_dec_profit_max_4 = DecimalParameter(0.02, 0.1, default=0.04, space='exit', decimals=3, optimize=False, load=True) # Pumped 48h 1, under EMA200 exit_custom_pump_under_profit_min_1 = DecimalParameter(0.02, 0.06, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_under_profit_max_1 = DecimalParameter(0.04, 0.1, default=0.09, space='exit', decimals=3, optimize=False, load=True) # Pumped trail 1 exit_custom_pump_trail_profit_min_1 = DecimalParameter(0.01, 0.12, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_trail_profit_max_1 = DecimalParameter(0.06, 0.16, default=0.07, space='exit', decimals=2, optimize=False, load=True) exit_custom_pump_trail_down_1 = DecimalParameter(0.01, 0.06, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_trail_rsi_min_1 = DecimalParameter(16.0, 36.0, default=20.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_trail_rsi_max_1 = DecimalParameter(30.0, 50.0, default=70.0, space='exit', decimals=1, optimize=False, load=True) # Stoploss, pumped, 48h 1 exit_custom_stoploss_pump_max_profit_1 = DecimalParameter(0.01, 0.04, default=0.01, space='exit', decimals=3, optimize=False, load=True) exit_custom_stoploss_pump_min_1 = DecimalParameter(-0.1, -0.01, default=-0.02, space='exit', decimals=3, optimize=False, load=True) exit_custom_stoploss_pump_max_1 = DecimalParameter(-0.1, -0.01, default=-0.01, space='exit', decimals=3, optimize=False, load=True) exit_custom_stoploss_pump_ma_offset_1 = DecimalParameter(0.7, 0.99, default=0.94, space='exit', decimals=2, optimize=False, load=True) # Stoploss, pumped, 48h 1 exit_custom_stoploss_pump_max_profit_2 = DecimalParameter(0.01, 0.04, default=0.025, space='exit', decimals=3, optimize=False, load=True) exit_custom_stoploss_pump_loss_2 = DecimalParameter(-0.1, -0.01, default=-0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_stoploss_pump_ma_offset_2 = DecimalParameter(0.7, 0.99, default=0.92, space='exit', decimals=2, optimize=False, load=True) # Stoploss, pumped, 36h 3 exit_custom_stoploss_pump_max_profit_3 = DecimalParameter(0.01, 0.04, default=0.008, space='exit', decimals=3, optimize=False, load=True) exit_custom_stoploss_pump_loss_3 = DecimalParameter(-0.16, -0.06, default=-0.12, space='exit', decimals=3, optimize=False, load=True) exit_custom_stoploss_pump_ma_offset_3 = DecimalParameter(0.7, 0.99, default=0.88, space='exit', decimals=2, optimize=False, load=True) # Recover exit_custom_recover_profit_1 = DecimalParameter(0.01, 0.06, default=0.06, space='exit', decimals=3, optimize=False, load=True) exit_custom_recover_min_loss_1 = DecimalParameter(0.06, 0.16, default=0.12, space='exit', decimals=3, optimize=False, load=True) exit_custom_recover_profit_min_2 = DecimalParameter(0.01, 0.04, default=0.01, space='exit', decimals=3, optimize=False, load=True) exit_custom_recover_profit_max_2 = DecimalParameter(0.02, 0.08, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_recover_min_loss_2 = DecimalParameter(0.04, 0.16, default=0.06, space='exit', decimals=3, optimize=False, load=True) exit_custom_recover_rsi_2 = DecimalParameter(32.0, 52.0, default=46.0, space='exit', decimals=1, optimize=False, load=True) # Profit for long duration trades exit_custom_long_profit_min_1 = DecimalParameter(0.01, 0.04, default=0.03, space='exit', decimals=3, optimize=False, load=True) exit_custom_long_profit_max_1 = DecimalParameter(0.02, 0.08, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_long_duration_min_1 = IntParameter(700, 2000, default=900, space='exit', optimize=False, load=True) ############################################################# hold_trade_ids = None @staticmethod def get_hold_trades_config_file(): strat_file_path = pathlib.Path(__file__) hold_trades_config_file_resolve = strat_file_path.resolve().parent / 'hold-trades.json' if hold_trades_config_file_resolve.is_file(): return hold_trades_config_file_resolve # The resolved path does not exist, is it a symlink? hold_trades_config_file_absolute = strat_file_path.absolute().parent / 'hold-trades.json' if hold_trades_config_file_absolute.is_file(): return hold_trades_config_file_absolute if hold_trades_config_file_resolve != hold_trades_config_file_absolute: looked_in = f"'{hold_trades_config_file_resolve}' and '{hold_trades_config_file_absolute}'" else: looked_in = f"'{hold_trades_config_file_resolve}'" log.warning("The 'hold-trades.json' file was not found. Looked in %s. HOLD support disabled.", looked_in) def load_hold_trades_config(self): if self.hold_trade_ids is not None: # Already loaded return # Default Values self.hold_trade_ids = {} # Update values from config file, if it exists hold_trades_config_file = NostalgiaForInfinityNext.get_hold_trades_config_file() if not hold_trades_config_file: return with hold_trades_config_file.open('r') as f: trade_ids = None hold_trades_config = None try: hold_trades_config = json_load(f) except rapidjson.JSONDecodeError as exc: log.error('Failed to load JSON from %s: %s', hold_trades_config_file, exc) else: trade_ids = hold_trades_config.get('trade_ids') if not trade_ids: return open_trades = {trade.id: trade for trade in Trade.get_trades_proxy(is_open=True)} if isinstance(trade_ids, dict): # New syntax for trade_id, profit_ratio in trade_ids.items(): try: trade_id = int(trade_id) except ValueError: log.error("The trade_id(%s) defined under 'trade_ids' in %s is not an integer", trade_id, hold_trades_config_file) continue if not isinstance(profit_ratio, float): log.error("The 'profit_ratio' config value(%s) for trade_id %s in %s is not a float", profit_ratio, trade_id, hold_trades_config_file) if trade_id in open_trades: formatted_profit_ratio = '{}%'.format(profit_ratio * 100) log.warning('The trade %s is configured to HOLD until the profit ratio of %s is met', open_trades[trade_id], formatted_profit_ratio) self.hold_trade_ids[trade_id] = profit_ratio else: log.warning("The trade_id(%s) is no longer open. Please remove it from 'trade_ids' in %s", trade_id, hold_trades_config_file) else: # Initial Syntax profit_ratio = hold_trades_config.get('profit_ratio') if profit_ratio: if not isinstance(profit_ratio, float): log.error("The 'profit_ratio' config value(%s) in %s is not a float", profit_ratio, hold_trades_config_file) else: profit_ratio = 0.005 formatted_profit_ratio = '{}%'.format(profit_ratio * 100) for trade_id in trade_ids: if not isinstance(trade_id, int): log.error("The trade_id(%s) defined under 'trade_ids' in %s is not an integer", trade_id, hold_trades_config_file) continue if trade_id in open_trades: log.warning('The trade %s is configured to HOLD until the profit ratio of %s is met', open_trades[trade_id], formatted_profit_ratio) self.hold_trade_ids[trade_id] = profit_ratio else: log.warning("The trade_id(%s) is no longer open. Please remove it from 'trade_ids' in %s", trade_id, hold_trades_config_file) def bot_loop_start(self, **kwargs) -> None: """ Called at the start of the bot iteration (one loop). Might be used to perform pair-independent tasks (e.g. gather some remote resource for comparison) :param **kwargs: Ensure to keep this here so updates to this won't break your strategy. """ if self.config['runmode'].value in ('live', 'dry_run'): self.load_hold_trades_config() return super().bot_loop_start(**kwargs) def get_ticker_indicator(self): return int(self.timeframe[:-1]) def exit_over_main(self, current_profit: float, last_candle) -> tuple: if last_candle['close'] > last_candle['ema_200']: if current_profit > self.exit_custom_profit_11.value: if last_candle['rsi'] < self.exit_custom_rsi_11.value: return (True, 'signal_profit_11') elif self.exit_custom_profit_11.value > current_profit > self.exit_custom_profit_10.value: if last_candle['rsi'] < self.exit_custom_rsi_10.value: return (True, 'signal_profit_10') elif self.exit_custom_profit_10.value > current_profit > self.exit_custom_profit_9.value: if last_candle['rsi'] < self.exit_custom_rsi_9.value: return (True, 'signal_profit_9') elif self.exit_custom_profit_9.value > current_profit > self.exit_custom_profit_8.value: if last_candle['rsi'] < self.exit_custom_rsi_8.value: return (True, 'signal_profit_8') elif self.exit_custom_profit_8.value > current_profit > self.exit_custom_profit_7.value: if (last_candle['rsi'] < self.exit_custom_rsi_7.value) & (last_candle['cmf'] < 0.0): return (True, 'signal_profit_7') elif self.exit_custom_profit_7.value > current_profit > self.exit_custom_profit_6.value: if (last_candle['rsi'] < self.exit_custom_rsi_6.value) & (last_candle['cmf'] < 0.0): return (True, 'signal_profit_6') elif self.exit_custom_profit_6.value > current_profit > self.exit_custom_profit_5.value: if (last_candle['rsi'] < self.exit_custom_rsi_5.value) & (last_candle['cmf'] < 0.0): return (True, 'signal_profit_5') elif self.exit_custom_profit_5.value > current_profit > self.exit_custom_profit_4.value: if (last_candle['rsi'] < self.exit_custom_rsi_4.value) & (last_candle['cmf'] < 0.0): return (True, 'signal_profit_4') elif self.exit_custom_profit_4.value > current_profit > self.exit_custom_profit_3.value: if (last_candle['rsi'] < self.exit_custom_rsi_3.value) & (last_candle['cmf'] < 0.0): return (True, 'signal_profit_3') elif self.exit_custom_profit_3.value > current_profit > self.exit_custom_profit_2.value: if (last_candle['rsi'] < self.exit_custom_rsi_2.value) & (last_candle['cmf'] < 0.0): return (True, 'signal_profit_2') elif self.exit_custom_profit_2.value > current_profit > self.exit_custom_profit_1.value: if (last_candle['rsi'] < self.exit_custom_rsi_1.value) & (last_candle['cmf'] < 0.0): return (True, 'signal_profit_1') elif self.exit_custom_profit_1.value > current_profit > self.exit_custom_profit_0.value: if (last_candle['rsi'] < self.exit_custom_rsi_0.value) & (last_candle['cmf'] < 0.0): return (True, 'signal_profit_0') return (False, None) def exit_under_main(self, current_profit: float, last_candle) -> tuple: if last_candle['close'] < last_candle['ema_200']: if current_profit > self.exit_custom_under_profit_11.value: if last_candle['rsi'] < self.exit_custom_under_rsi_11.value: return (True, 'signal_profit_u_11') elif self.exit_custom_under_profit_11.value > current_profit > self.exit_custom_under_profit_10.value: if last_candle['rsi'] < self.exit_custom_under_rsi_10.value: return (True, 'signal_profit_u_10') elif self.exit_custom_under_profit_10.value > current_profit > self.exit_custom_under_profit_9.value: if last_candle['rsi'] < self.exit_custom_under_rsi_9.value: return (True, 'signal_profit_u_9') elif self.exit_custom_under_profit_9.value > current_profit > self.exit_custom_under_profit_8.value: if last_candle['rsi'] < self.exit_custom_under_rsi_8.value: return (True, 'signal_profit_u_8') elif self.exit_custom_under_profit_8.value > current_profit > self.exit_custom_under_profit_7.value: if last_candle['rsi'] < self.exit_custom_under_rsi_7.value: return (True, 'signal_profit_u_7') elif self.exit_custom_under_profit_7.value > current_profit > self.exit_custom_under_profit_6.value: if last_candle['rsi'] < self.exit_custom_under_rsi_6.value: return (True, 'signal_profit_u_6') elif self.exit_custom_under_profit_6.value > current_profit > self.exit_custom_under_profit_5.value: if last_candle['rsi'] < self.exit_custom_under_rsi_5.value: return (True, 'signal_profit_u_5') elif self.exit_custom_under_profit_5.value > current_profit > self.exit_custom_under_profit_4.value: if last_candle['rsi'] < self.exit_custom_under_rsi_4.value: return (True, 'signal_profit_u_4') elif self.exit_custom_under_profit_4.value > current_profit > self.exit_custom_under_profit_3.value: if last_candle['rsi'] < self.exit_custom_under_rsi_3.value: return (True, 'signal_profit_u_3') elif self.exit_custom_under_profit_3.value > current_profit > self.exit_custom_under_profit_2.value: if last_candle['rsi'] < self.exit_custom_under_rsi_2.value: return (True, 'signal_profit_u_2') elif self.exit_custom_under_profit_2.value > current_profit > self.exit_custom_under_profit_1.value: if last_candle['rsi'] < self.exit_custom_under_rsi_1.value: return (True, 'signal_profit_u_1') elif self.exit_custom_under_profit_1.value > current_profit > self.exit_custom_under_profit_0.value: if (last_candle['rsi'] < self.exit_custom_under_rsi_0.value) & (last_candle['cmf'] < 0.0): return (True, 'signal_profit_u_0') return (False, None) def exit_pump_main(self, current_profit: float, last_candle) -> tuple: if last_candle['exit_pump_48_1_1h']: if current_profit > self.exit_custom_pump_profit_1_5.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_1_5.value: return (True, 'signal_profit_p_1_5') elif self.exit_custom_pump_profit_1_5.value > current_profit > self.exit_custom_pump_profit_1_4.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_1_4.value: return (True, 'signal_profit_p_1_4') elif self.exit_custom_pump_profit_1_4.value > current_profit > self.exit_custom_pump_profit_1_3.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_1_3.value: return (True, 'signal_profit_p_1_3') elif self.exit_custom_pump_profit_1_3.value > current_profit > self.exit_custom_pump_profit_1_2.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_1_2.value: return (True, 'signal_profit_p_1_2') elif self.exit_custom_pump_profit_1_2.value > current_profit > self.exit_custom_pump_profit_1_1.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_1_1.value: return (True, 'signal_profit_p_1_1') elif last_candle['exit_pump_36_1_1h']: if current_profit > self.exit_custom_pump_profit_2_5.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_2_5.value: return (True, 'signal_profit_p_2_5') elif self.exit_custom_pump_profit_2_5.value > current_profit > self.exit_custom_pump_profit_2_4.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_2_4.value: return (True, 'signal_profit_p_2_4') elif self.exit_custom_pump_profit_2_4.value > current_profit > self.exit_custom_pump_profit_2_3.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_2_3.value: return (True, 'signal_profit_p_2_3') elif self.exit_custom_pump_profit_2_3.value > current_profit > self.exit_custom_pump_profit_2_2.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_2_2.value: return (True, 'signal_profit_p_2_2') elif self.exit_custom_pump_profit_2_2.value > current_profit > self.exit_custom_pump_profit_2_1.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_2_1.value: return (True, 'signal_profit_p_2_1') elif last_candle['exit_pump_24_1_1h']: if current_profit > self.exit_custom_pump_profit_3_5.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_3_5.value: return (True, 'signal_profit_p_3_5') elif self.exit_custom_pump_profit_3_5.value > current_profit > self.exit_custom_pump_profit_3_4.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_3_4.value: return (True, 'signal_profit_p_3_4') elif self.exit_custom_pump_profit_3_4.value > current_profit > self.exit_custom_pump_profit_3_3.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_3_3.value: return (True, 'signal_profit_p_3_3') elif self.exit_custom_pump_profit_3_3.value > current_profit > self.exit_custom_pump_profit_3_2.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_3_2.value: return (True, 'signal_profit_p_3_2') elif self.exit_custom_pump_profit_3_2.value > current_profit > self.exit_custom_pump_profit_3_1.value: if last_candle['rsi'] < self.exit_custom_pump_rsi_3_1.value: return (True, 'signal_profit_p_3_1') return (False, None) def exit_dec_main(self, current_profit: float, last_candle) -> tuple: if (self.exit_custom_dec_profit_max_1.value > current_profit > self.exit_custom_dec_profit_min_1.value) & last_candle['sma_200_dec_20']: return (True, 'signal_profit_d_1') elif (self.exit_custom_dec_profit_max_2.value > current_profit > self.exit_custom_dec_profit_min_2.value) & (last_candle['close'] < last_candle['ema_100']): return (True, 'signal_profit_d_2') return (False, None) def exit_trail_main(self, current_profit: float, last_candle, max_profit: float) -> tuple: if (self.exit_trail_profit_max_1.value > current_profit > self.exit_trail_profit_min_1.value) & (self.exit_trail_rsi_min_1.value < last_candle['rsi'] < self.exit_trail_rsi_max_1.value) & (max_profit > current_profit + self.exit_trail_down_1.value) & (last_candle['moderi_96'] == False): return (True, 'signal_profit_t_1') elif (self.exit_trail_profit_max_2.value > current_profit > self.exit_trail_profit_min_2.value) & (self.exit_trail_rsi_min_2.value < last_candle['rsi'] < self.exit_trail_rsi_max_2.value) & (max_profit > current_profit + self.exit_trail_down_2.value) & (last_candle['ema_25'] < last_candle['ema_50']): return (True, 'signal_profit_t_2') elif (self.exit_trail_profit_max_3.value > current_profit > self.exit_trail_profit_min_3.value) & (max_profit > current_profit + self.exit_trail_down_3.value) & last_candle['sma_200_dec_20_1h']: return (True, 'signal_profit_t_3') elif (self.exit_trail_profit_max_4.value > current_profit > self.exit_trail_profit_min_4.value) & (max_profit > current_profit + self.exit_trail_down_4.value) & last_candle['sma_200_dec_24'] & (last_candle['cmf'] < 0.0): return (True, 'signal_profit_t_4') return (False, None) def exit_duration_main(self, current_profit: float, last_candle, trade: 'Trade', current_time: 'datetime') -> tuple: # Pumped pair, short duration if last_candle['exit_pump_24_1_1h'] & (0.2 > current_profit > 0.07) & (current_time - timedelta(minutes=30) < trade.open_date_utc): return (True, 'signal_profit_p_s_1') elif (self.exit_custom_long_profit_min_1.value < current_profit < self.exit_custom_long_profit_max_1.value) & (current_time - timedelta(minutes=self.exit_custom_long_duration_min_1.value) > trade.open_date_utc): return (True, 'signal_profit_l_1') return (False, None) def exit_under_min(self, current_profit: float, last_candle) -> tuple: if last_candle['moderi_96'] == False: # Downtrend if (self.exit_custom_profit_under_profit_max_1.value > current_profit > self.exit_custom_profit_under_profit_min_1.value) & (last_candle['close'] < last_candle['ema_200']) & ((last_candle['ema_200'] - last_candle['close']) / last_candle['close'] < self.exit_custom_profit_under_rel_1.value) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.exit_custom_profit_under_rsi_diff_1.value): return (True, 'signal_profit_u_e_1') # Uptrend elif (current_profit > self.exit_custom_profit_under_profit_2.value) & (last_candle['close'] < last_candle['ema_200']) & ((last_candle['ema_200'] - last_candle['close']) / last_candle['close'] < self.exit_custom_profit_under_rel_2.value) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.exit_custom_profit_under_rsi_diff_2.value): return (True, 'signal_profit_u_e_2') return (False, None) def exit_stoploss(self, current_profit: float, last_candle, trade: 'Trade', current_time: 'datetime', max_loss: float, max_profit: float) -> tuple: if (current_profit < -0.0) & (last_candle['close'] < last_candle['ema_200']) & ((last_candle['ema_200'] - last_candle['close']) / last_candle['close'] < self.exit_custom_stoploss_under_rel_1.value) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.exit_custom_stoploss_under_rsi_diff_1.value) & (last_candle['cmf'] < -0.2) & last_candle['sma_200_dec_24'] & (current_time - timedelta(minutes=720) > trade.open_date_utc): return (True, 'signal_stoploss_u_1') # Under EMA200, pair & BTC negative, low max rate elif (-0.1 > current_profit > -0.14) & (last_candle['btc_not_downtrend_1h'] == False) & (last_candle['moderi_32'] == False) & (last_candle['moderi_64'] == False) & (max_profit < 0.005) & (max_loss < 0.14) & last_candle['sma_200_dec_24'] & (last_candle['cmf'] < -0.0) & (last_candle['close'] < last_candle['ema_200']) & (last_candle['ema_25'] < last_candle['ema_50']) & (last_candle['cti'] < -0.8) & (last_candle['r_480'] < -50.0): return (True, 'signal_stoploss_u_b_1') # Under EMA200, pair & BTC negative, CTI, Elder Ray Index negative, normal max rate elif (-0.1 > current_profit > -0.2) & (last_candle['btc_not_downtrend_1h'] == False) & (last_candle['moderi_32'] == False) & (last_candle['moderi_64'] == False) & (last_candle['moderi_96'] == False) & (max_profit < 0.05) & (max_loss < 0.2) & last_candle['sma_200_dec_24'] & last_candle['sma_200_dec_20_1h'] & (last_candle['cmf'] < -0.45) & (last_candle['close'] < last_candle['ema_200']) & (last_candle['ema_25'] < last_candle['ema_50']) & (last_candle['cti'] < -0.8) & (last_candle['r_480'] < -97.0): return (True, 'signal_stoploss_u_b_2') elif (self.exit_custom_stoploss_long_profit_min_1.value < current_profit < self.exit_custom_stoploss_long_profit_max_1.value) & (current_profit > -max_loss + self.exit_custom_stoploss_long_recover_1.value) & (last_candle['cmf'] < 0.0) & (last_candle['close'] < last_candle['ema_200']) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.exit_custom_stoploss_long_rsi_diff_1.value) & last_candle['sma_200_dec_24'] & (current_time - timedelta(minutes=1200) > trade.open_date_utc): return (True, 'signal_stoploss_l_r_u_1') elif (current_profit < -0.0) & (current_profit > -max_loss + self.exit_custom_stoploss_long_recover_2.value) & (last_candle['close'] < last_candle['ema_200']) & (last_candle['cmf'] < 0.0) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.exit_custom_stoploss_long_rsi_diff_2.value) & last_candle['sma_200_dec_24'] & (current_time - timedelta(minutes=1200) > trade.open_date_utc): return (True, 'signal_stoploss_l_r_u_2') elif (max_profit < self.exit_custom_stoploss_pump_max_profit_2.value) & (current_profit < self.exit_custom_stoploss_pump_loss_2.value) & last_candle['exit_pump_48_1_1h'] & (last_candle['cmf'] < 0.0) & last_candle['sma_200_dec_20_1h'] & (last_candle['close'] < last_candle['ema_200'] * self.exit_custom_stoploss_pump_ma_offset_2.value): return (True, 'signal_stoploss_p_2') elif (max_profit < self.exit_custom_stoploss_pump_max_profit_3.value) & (current_profit < self.exit_custom_stoploss_pump_loss_3.value) & last_candle['exit_pump_36_3_1h'] & (last_candle['close'] < last_candle['ema_200'] * self.exit_custom_stoploss_pump_ma_offset_3.value): return (True, 'signal_stoploss_p_3') return (False, None) def exit_pump_dec(self, current_profit: float, last_candle) -> tuple: if (self.exit_custom_pump_dec_profit_max_1.value > current_profit > self.exit_custom_pump_dec_profit_min_1.value) & last_candle['exit_pump_48_1_1h'] & last_candle['sma_200_dec_20'] & (last_candle['close'] < last_candle['ema_200']): return (True, 'signal_profit_p_d_1') elif (self.exit_custom_pump_dec_profit_max_2.value > current_profit > self.exit_custom_pump_dec_profit_min_2.value) & last_candle['exit_pump_48_2_1h'] & last_candle['sma_200_dec_20'] & (last_candle['close'] < last_candle['ema_200']): return (True, 'signal_profit_p_d_2') elif (self.exit_custom_pump_dec_profit_max_3.value > current_profit > self.exit_custom_pump_dec_profit_min_3.value) & last_candle['exit_pump_48_3_1h'] & last_candle['sma_200_dec_20'] & (last_candle['close'] < last_candle['ema_200']): return (True, 'signal_profit_p_d_3') elif (self.exit_custom_pump_dec_profit_max_4.value > current_profit > self.exit_custom_pump_dec_profit_min_4.value) & last_candle['sma_200_dec_20'] & last_candle['exit_pump_24_2_1h']: return (True, 'signal_profit_p_d_4') return (False, None) def exit_pump_extra(self, current_profit: float, last_candle, max_profit: float) -> tuple: # Pumped 48h 1, under EMA200 if (self.exit_custom_pump_under_profit_max_1.value > current_profit > self.exit_custom_pump_under_profit_min_1.value) & last_candle['exit_pump_48_1_1h'] & (last_candle['close'] < last_candle['ema_200']): return (True, 'signal_profit_p_u_1') # Pumped 36h 2, trail 1 elif last_candle['exit_pump_36_2_1h'] & (self.exit_custom_pump_trail_profit_max_1.value > current_profit > self.exit_custom_pump_trail_profit_min_1.value) & (self.exit_custom_pump_trail_rsi_min_1.value < last_candle['rsi'] < self.exit_custom_pump_trail_rsi_max_1.value) & (max_profit > current_profit + self.exit_custom_pump_trail_down_1.value): return (True, 'signal_profit_p_t_1') return (False, None) def exit_recover(self, current_profit: float, last_candle, max_loss: float) -> tuple: if (max_loss > self.exit_custom_recover_min_loss_1.value) & (current_profit > self.exit_custom_recover_profit_1.value): return (True, 'signal_profit_r_1') elif (max_loss > self.exit_custom_recover_min_loss_2.value) & (self.exit_custom_recover_profit_max_2.value > current_profit > self.exit_custom_recover_profit_min_2.value) & (last_candle['rsi'] < self.exit_custom_recover_rsi_2.value) & (last_candle['ema_25'] < last_candle['ema_50']): return (True, 'signal_profit_r_2') return (False, None) def exit_r_1(self, current_profit: float, last_candle) -> tuple: if 0.02 > current_profit > 0.012: if last_candle['r_480'] > -1.0: return (True, 'signal_profit_w_1_1') elif 0.03 > current_profit > 0.02: if last_candle['r_480'] > -1.2: return (True, 'signal_profit_w_1_2') elif 0.04 > current_profit > 0.03: if last_candle['r_480'] > -1.4: return (True, 'signal_profit_w_1_3') elif 0.05 > current_profit > 0.04: if last_candle['r_480'] > -1.6: return (True, 'signal_profit_w_1_4') elif 0.06 > current_profit > 0.05: if last_candle['r_480'] > -1.8: return (True, 'signal_profit_w_1_5') elif 0.07 > current_profit > 0.06: if last_candle['r_480'] > -2.0: return (True, 'signal_profit_w_1_6') elif 0.08 > current_profit > 0.07: if last_candle['r_480'] > -2.2: return (True, 'signal_profit_w_1_7') elif 0.09 > current_profit > 0.08: if last_candle['r_480'] > -2.4: return (True, 'signal_profit_w_1_8') elif 0.1 > current_profit > 0.09: if last_candle['r_480'] > -2.6: return (True, 'signal_profit_w_1_9') elif 0.12 > current_profit > 0.1: if (last_candle['r_480'] > -8.0) & (last_candle['rsi'] > 72.0): return (True, 'signal_profit_w_1_10') elif 0.2 > current_profit > 0.12: if (last_candle['r_480'] > -1.5) & (last_candle['rsi'] > 78.0): return (True, 'signal_profit_w_1_11') elif current_profit > 0.2: if (last_candle['r_480'] > -1.0) & (last_candle['rsi'] > 80.0): return (True, 'signal_profit_w_1_12') return (False, None) def exit_r_2(self, current_profit: float, last_candle) -> tuple: if 0.02 > current_profit > 0.012: if (last_candle['r_480'] > -2.0) & (last_candle['rsi'] > 79.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_2_1') elif 0.03 > current_profit > 0.02: if (last_candle['r_480'] > -2.1) & (last_candle['rsi'] > 79.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_2_2') elif 0.04 > current_profit > 0.03: if (last_candle['r_480'] > -2.2) & (last_candle['rsi'] > 79.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_2_3') elif 0.05 > current_profit > 0.04: if (last_candle['r_480'] > -2.3) & (last_candle['rsi'] > 79.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_2_4') elif 0.06 > current_profit > 0.05: if (last_candle['r_480'] > -2.4) & (last_candle['rsi'] > 79.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_2_5') elif 0.07 > current_profit > 0.06: if (last_candle['r_480'] > -2.5) & (last_candle['rsi'] > 79.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_2_6') elif 0.08 > current_profit > 0.07: if (last_candle['r_480'] > -34.0) & (last_candle['rsi'] > 80.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_2_7') elif 0.09 > current_profit > 0.08: if (last_candle['r_480'] > -3.0) & (last_candle['rsi'] > 80.5) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_2_8') elif 0.1 > current_profit > 0.09: if (last_candle['r_480'] > -2.8) & (last_candle['rsi'] > 80.5) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_2_9') elif 0.12 > current_profit > 0.1: if (last_candle['r_480'] > -2.4) & (last_candle['rsi'] > 80.5) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_2_10') elif 0.2 > current_profit > 0.12: if (last_candle['r_480'] > -2.2) & (last_candle['rsi'] > 81.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_2_11') elif current_profit > 0.2: if (last_candle['r_480'] > -2.0) & (last_candle['rsi'] > 81.5) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_2_12') return (False, None) def exit_r_3(self, current_profit: float, last_candle) -> tuple: if 0.02 > current_profit > 0.012: if (last_candle['r_480'] > -6.0) & (last_candle['rsi'] > 74.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_3_1') elif 0.03 > current_profit > 0.02: if (last_candle['r_480'] > -8.0) & (last_candle['rsi'] > 74.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_3_2') elif 0.04 > current_profit > 0.03: if (last_candle['r_480'] > -29.0) & (last_candle['rsi'] > 74.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_3_3') elif 0.05 > current_profit > 0.04: if (last_candle['r_480'] > -30.0) & (last_candle['rsi'] > 79.0) & (last_candle['stochrsi_fastk_96'] > 99.0) & (last_candle['stochrsi_fastd_96'] > 99.0): return (True, 'signal_profit_w_3_4') return (False, None) def exit_r_4(self, current_profit: float, last_candle) -> tuple: if 0.02 > current_profit > 0.012: if (last_candle['r_480'] > -3.0) & (last_candle['rsi'] > 68.0) & (last_candle['cti'] > 0.9): return (True, 'signal_profit_w_4_1') elif 0.03 > current_profit > 0.02: if (last_candle['r_480'] > -3.5) & (last_candle['rsi'] > 68.0) & (last_candle['cti'] > 0.9): return (True, 'signal_profit_w_4_2') elif 0.04 > current_profit > 0.03: if (last_candle['r_480'] > -4.0) & (last_candle['rsi'] > 68.0) & (last_candle['cti'] > 0.9): return (True, 'signal_profit_w_4_3') elif 0.05 > current_profit > 0.04: if (last_candle['r_480'] > -4.5) & (last_candle['rsi'] > 68.0) & (last_candle['cti'] > 0.9): return (True, 'signal_profit_w_4_4') elif 0.06 > current_profit > 0.05: if (last_candle['r_480'] > -24.0) & (last_candle['rsi'] > 68.0) & (last_candle['cti'] > 0.9): return (True, 'signal_profit_w_4_5') elif 0.07 > current_profit > 0.06: if (last_candle['r_480'] > -26.0) & (last_candle['rsi'] > 79.0) & (last_candle['cti'] > 0.9): return (True, 'signal_profit_w_4_6') elif 0.08 > current_profit > 0.07: if (last_candle['r_480'] > -20.0) & (last_candle['rsi'] > 79.0) & (last_candle['cti'] > 0.9): return (True, 'signal_profit_w_4_7') elif 0.09 > current_profit > 0.08: if (last_candle['r_480'] > -18.0) & (last_candle['rsi'] > 79.0) & (last_candle['cti'] > 0.9): return (True, 'signal_profit_w_4_8') elif 0.1 > current_profit > 0.09: if (last_candle['r_480'] > -16.0) & (last_candle['rsi'] > 79.0) & (last_candle['cti'] > 0.9): return (True, 'signal_profit_w_4_9') elif 0.12 > current_profit > 0.1: if (last_candle['r_480'] > -4.0) & (last_candle['rsi'] > 79.0) & (last_candle['cti'] > 0.9): return (True, 'signal_profit_w_4_10') elif 0.2 > current_profit > 0.12: if (last_candle['r_480'] > -3.0) & (last_candle['rsi'] > 80.0) & (last_candle['cti'] > 0.9): return (True, 'signal_profit_w_4_11') elif current_profit > 0.2: if (last_candle['r_480'] > -2.0) & (last_candle['rsi'] > 80.0) & (last_candle['cti'] > 0.9): return (True, 'signal_profit_w_4_12') return (False, None) def exit_quick_mode(self, current_profit: float, max_profit: float, last_candle, previous_candle_1, entry_signal_candle) -> tuple: if entry_signal_candle['entry_condition_32'] or entry_signal_candle['entry_condition_33'] or entry_signal_candle['entry_condition_34'] or entry_signal_candle['entry_condition_35'] or entry_signal_candle['entry_condition_36'] or entry_signal_candle['entry_condition_37'] or entry_signal_candle['entry_condition_38']: if (0.06 > current_profit > 0.02) & (last_candle['rsi'] > 79.0): return (True, 'signal_profit_q_1') if (0.06 > current_profit > 0.02) & (last_candle['cti'] > 0.9): return (True, 'signal_profit_q_2') if current_profit < -0.1: return (True, 'signal_stoploss_q_1') if (last_candle['close'] < last_candle['atr_high_thresh']) & (previous_candle_1['close'] > previous_candle_1['atr_high_thresh']): return (True, 'signal_stoploss_q_atr') if current_profit > 0.0: if (last_candle['pm'] <= last_candle['pmax_thresh']) & (last_candle['close'] > last_candle['sma_21'] * 1.039): return (True, 'signal_profit_q_pmax_bull') if (last_candle['pm'] > last_candle['pmax_thresh']) & (last_candle['close'] > last_candle['sma_21'] * 1.012): return (True, 'signal_profit_q_pmax_bear') if (last_candle['pm'] > last_candle['pmax_thresh']) & (last_candle['crsi'] >= 70): return (True, 'signal_profit_q_pmax_c') return (False, None) def custom_exit(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() previous_candle_1 = dataframe.iloc[-2].squeeze() previous_candle_2 = dataframe.iloc[-3].squeeze() previous_candle_3 = dataframe.iloc[-4].squeeze() previous_candle_4 = dataframe.iloc[-5].squeeze() previous_candle_5 = dataframe.iloc[-6].squeeze() trade_open_date = timeframe_to_prev_date(self.timeframe, trade.open_date_utc) entry_signal = dataframe.loc[dataframe['date'] < trade_open_date] if not entry_signal.empty: entry_signal_candle = entry_signal.iloc[-1].squeeze() max_profit = (trade.max_rate - trade.open_rate) / trade.open_rate max_loss = (trade.open_rate - trade.min_rate) / trade.min_rate # Quick exit mode if not entry_signal.empty: exit, signal_name = self.exit_quick_mode(current_profit, max_profit, last_candle, previous_candle_1, entry_signal_candle) if exit and signal_name is not None: return signal_name # Over EMA200, main profit targets exit, signal_name = self.exit_over_main(current_profit, last_candle) if exit and signal_name is not None: return signal_name # Under EMA200, main profit targets exit, signal_name = self.exit_under_main(current_profit, last_candle) if exit and signal_name is not None: return signal_name # The pair is pumped exit, signal_name = self.exit_pump_main(current_profit, last_candle) if exit and signal_name is not None: return signal_name # The pair is descending exit, signal_name = self.exit_dec_main(current_profit, last_candle) if exit and signal_name is not None: return signal_name # Trailing exit, signal_name = self.exit_trail_main(current_profit, last_candle, max_profit) if exit and signal_name is not None: return signal_name # Duration based exit, signal_name = self.exit_duration_main(current_profit, last_candle, trade, current_time) if exit and signal_name is not None: return signal_name # Under EMA200, exit with any profit exit, signal_name = self.exit_under_min(current_profit, last_candle) if exit and signal_name is not None: return signal_name # Stoplosses exit, signal_name = self.exit_stoploss(current_profit, last_candle, trade, current_time, max_loss, max_profit) if exit and signal_name is not None: return signal_name # Pumped descending pairs exit, signal_name = self.exit_pump_dec(current_profit, last_candle) if exit and signal_name is not None: return signal_name # Extra exits for pumped pairs exit, signal_name = self.exit_pump_extra(current_profit, last_candle, max_profit) if exit and signal_name is not None: return signal_name # Extra exits for trades that recovered exit, signal_name = self.exit_recover(current_profit, last_candle, max_loss) if exit and signal_name is not None: return signal_name # Williams %R based exit 1 exit, signal_name = self.exit_r_1(current_profit, last_candle) if exit and signal_name is not None: return signal_name # Williams %R based exit 2 exit, signal_name = self.exit_r_2(current_profit, last_candle) if exit and signal_name is not None: return signal_name # Williams %R based exit 3 exit, signal_name = self.exit_r_3(current_profit, last_candle) if exit and signal_name is not None: return signal_name # Williams %R based exit 4, plus CTI exit, signal_name = self.exit_r_4(current_profit, last_candle) if exit and signal_name is not None: return signal_name # Sell signal 1 if self.exit_condition_1_enable.value & (last_candle['rsi'] > self.exit_rsi_bb_1.value) & (last_candle['close'] > last_candle['bb20_2_upp']) & (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) & (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) & (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) & (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']) & (previous_candle_5['close'] > previous_candle_5['bb20_2_upp']): if last_candle['close'] > last_candle['ema_200']: if current_profit > 0.0: return 'exit_signal_1_1_1' elif max_loss > 0.1: return 'exit_signal_1_1_2' else: return 'exit_signal_1_2' # Sell signal 2 elif self.exit_condition_2_enable.value & (last_candle['rsi'] > self.exit_rsi_bb_2.value) & (last_candle['close'] > last_candle['bb20_2_upp']) & (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) & (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']): if last_candle['close'] > last_candle['ema_200']: if current_profit > 0.0: return 'exit_signal_2_1_1' elif max_loss > 0.07: return 'exit_signal_2_1_2' elif current_profit > 0.0: return 'exit_signal_2_2_1' elif max_loss > 0.07: return 'exit_signal_2_2_2' # Sell signal 4 elif self.exit_condition_4_enable.value & (last_candle['rsi'] > self.exit_dual_rsi_rsi_4.value) & (last_candle['rsi_1h'] > self.exit_dual_rsi_rsi_1h_4.value): return 'exit_signal_4' # Sell signal 6 elif self.exit_condition_6_enable.value & (last_candle['close'] < last_candle['ema_200']) & (last_candle['close'] > last_candle['ema_50']) & (last_candle['rsi'] > self.exit_rsi_under_6.value): if current_profit > 0.0: return 'exit_signal_6_1' elif max_loss > 0.08: return 'exit_signal_6_2' # Sell signal 7 elif self.exit_condition_7_enable.value & (last_candle['rsi_1h'] > self.exit_rsi_1h_7.value) & last_candle['crossed_below_ema_12_26']: return 'exit_signal_7' # Sell signal 8 elif self.exit_condition_8_enable.value & (last_candle['close'] > last_candle['bb20_2_upp_1h'] * self.exit_bb_relative_8.value): return 'exit_signal_8' return None def range_percent_change(self, dataframe: DataFrame, method, length: int) -> float: """ Rolling Percentage Change Maximum across interval. :param dataframe: DataFrame The original OHLC dataframe :param method: High to Low / Open to Close :param length: int The length to look back """ df = dataframe.copy() if method == 'HL': return (df['high'].rolling(length).max() - df['low'].rolling(length).min()) / df['low'].rolling(length).min() elif method == 'OC': return (df['open'].rolling(length).max() - df['close'].rolling(length).min()) / df['close'].rolling(length).min() else: raise ValueError(f'Method {method} not defined!') def top_percent_change(self, dataframe: DataFrame, length: int) -> float: """ Percentage change of the current close from the range maximum Open price :param dataframe: DataFrame The original OHLC dataframe :param length: int The length to look back """ df = dataframe.copy() if length == 0: return (df['open'] - df['close']) / df['close'] else: return (df['open'].rolling(length).max() - df['close']) / df['close'] 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 (df[f'oc_pct_change_{length}'] < thresh) | (self.range_maxgap_adjusted(df, length, pull_thresh) > self.range_height(df, length)) def safe_dips(self, dataframe: DataFrame, thresh_0, thresh_2, thresh_12, thresh_144) -> bool: """ Determine if dip is safe to enter. :param dataframe: DataFrame The original OHLC dataframe :param thresh_0: Threshold value for 0 length top pct change :param thresh_2: Threshold value for 2 length top pct change :param thresh_12: Threshold value for 12 length top pct change :param thresh_144: Threshold value for 144 length top pct change """ return (dataframe['tpct_change_0'] < thresh_0) & (dataframe['tpct_change_2'] < thresh_2) & (dataframe['tpct_change_12'] < thresh_12) & (dataframe['tpct_change_144'] < thresh_144) 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, self.info_timeframe) for pair in pairs] informative_pairs.append(('BTC/USDT', self.timeframe)) informative_pairs.append(('BTC/USDT', self.info_timeframe)) 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.info_timeframe) # 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_25'] = ta.EMA(informative_1h, timeperiod=25) 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_20'] = 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['bb20_2_low'] = bollinger['lower'] informative_1h['bb20_2_mid'] = bollinger['mid'] informative_1h['bb20_2_upp'] = bollinger['upper'] # Chaikin Money Flow informative_1h['cmf'] = chaikin_money_flow(informative_1h, 20) # Williams %R informative_1h['r_480'] = williams_r(informative_1h, period=480) # Pump protections informative_1h['hl_pct_change_48'] = self.range_percent_change(informative_1h, 'HL', 48) informative_1h['hl_pct_change_36'] = self.range_percent_change(informative_1h, 'HL', 36) informative_1h['hl_pct_change_24'] = self.range_percent_change(informative_1h, 'HL', 24) informative_1h['oc_pct_change_48'] = self.range_percent_change(informative_1h, 'OC', 48) informative_1h['oc_pct_change_36'] = self.range_percent_change(informative_1h, 'OC', 36) informative_1h['oc_pct_change_24'] = self.range_percent_change(informative_1h, 'OC', 24) informative_1h['hl_pct_change_5'] = self.range_percent_change(informative_1h, 'HL', 5) informative_1h['low_5'] = informative_1h['low'].shift().rolling(5).min() informative_1h['safe_pump_24_10'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_10_24.value, self.entry_pump_pull_threshold_10_24.value) informative_1h['safe_pump_36_10'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_10_36.value, self.entry_pump_pull_threshold_10_36.value) informative_1h['safe_pump_48_10'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_10_48.value, self.entry_pump_pull_threshold_10_48.value) informative_1h['safe_pump_24_20'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_20_24.value, self.entry_pump_pull_threshold_20_24.value) informative_1h['safe_pump_36_20'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_20_36.value, self.entry_pump_pull_threshold_20_36.value) informative_1h['safe_pump_48_20'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_20_48.value, self.entry_pump_pull_threshold_20_48.value) informative_1h['safe_pump_24_30'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_30_24.value, self.entry_pump_pull_threshold_30_24.value) informative_1h['safe_pump_36_30'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_30_36.value, self.entry_pump_pull_threshold_30_36.value) informative_1h['safe_pump_48_30'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_30_48.value, self.entry_pump_pull_threshold_30_48.value) informative_1h['safe_pump_24_40'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_40_24.value, self.entry_pump_pull_threshold_40_24.value) informative_1h['safe_pump_36_40'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_40_36.value, self.entry_pump_pull_threshold_40_36.value) informative_1h['safe_pump_48_40'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_40_48.value, self.entry_pump_pull_threshold_40_48.value) informative_1h['safe_pump_24_50'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_50_24.value, self.entry_pump_pull_threshold_50_24.value) informative_1h['safe_pump_36_50'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_50_36.value, self.entry_pump_pull_threshold_50_36.value) informative_1h['safe_pump_48_50'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_50_48.value, self.entry_pump_pull_threshold_50_48.value) informative_1h['safe_pump_24_60'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_60_24.value, self.entry_pump_pull_threshold_60_24.value) informative_1h['safe_pump_36_60'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_60_36.value, self.entry_pump_pull_threshold_60_36.value) informative_1h['safe_pump_48_60'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_60_48.value, self.entry_pump_pull_threshold_60_48.value) informative_1h['safe_pump_24_70'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_70_24.value, self.entry_pump_pull_threshold_70_24.value) informative_1h['safe_pump_36_70'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_70_36.value, self.entry_pump_pull_threshold_70_36.value) informative_1h['safe_pump_48_70'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_70_48.value, self.entry_pump_pull_threshold_70_48.value) informative_1h['safe_pump_24_80'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_80_24.value, self.entry_pump_pull_threshold_80_24.value) informative_1h['safe_pump_36_80'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_80_36.value, self.entry_pump_pull_threshold_80_36.value) informative_1h['safe_pump_48_80'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_80_48.value, self.entry_pump_pull_threshold_80_48.value) informative_1h['safe_pump_24_90'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_90_24.value, self.entry_pump_pull_threshold_90_24.value) informative_1h['safe_pump_36_90'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_90_36.value, self.entry_pump_pull_threshold_90_36.value) informative_1h['safe_pump_48_90'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_90_48.value, self.entry_pump_pull_threshold_90_48.value) informative_1h['safe_pump_24_100'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_100_24.value, self.entry_pump_pull_threshold_100_24.value) informative_1h['safe_pump_36_100'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_100_36.value, self.entry_pump_pull_threshold_100_36.value) informative_1h['safe_pump_48_100'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_100_48.value, self.entry_pump_pull_threshold_100_48.value) informative_1h['safe_pump_24_110'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_110_24.value, self.entry_pump_pull_threshold_110_24.value) informative_1h['safe_pump_36_110'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_110_36.value, self.entry_pump_pull_threshold_110_36.value) informative_1h['safe_pump_48_110'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_110_48.value, self.entry_pump_pull_threshold_110_48.value) informative_1h['safe_pump_24_120'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_120_24.value, self.entry_pump_pull_threshold_120_24.value) informative_1h['safe_pump_36_120'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_120_36.value, self.entry_pump_pull_threshold_120_36.value) informative_1h['safe_pump_48_120'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_120_48.value, self.entry_pump_pull_threshold_120_48.value) informative_1h['safe_dump_10'] = (informative_1h['hl_pct_change_5'] < self.entry_dump_protection_10_5.value) | (informative_1h['close'] < informative_1h['low_5']) | (informative_1h['close'] > informative_1h['open']) informative_1h['safe_dump_20'] = (informative_1h['hl_pct_change_5'] < self.entry_dump_protection_20_5.value) | (informative_1h['close'] < informative_1h['low_5']) | (informative_1h['close'] > informative_1h['open']) informative_1h['safe_dump_30'] = (informative_1h['hl_pct_change_5'] < self.entry_dump_protection_30_5.value) | (informative_1h['close'] < informative_1h['low_5']) | (informative_1h['close'] > informative_1h['open']) informative_1h['safe_dump_40'] = (informative_1h['hl_pct_change_5'] < self.entry_dump_protection_40_5.value) | (informative_1h['close'] < informative_1h['low_5']) | (informative_1h['close'] > informative_1h['open']) informative_1h['safe_dump_50'] = (informative_1h['hl_pct_change_5'] < self.entry_dump_protection_50_5.value) | (informative_1h['close'] < informative_1h['low_5']) | (informative_1h['close'] > informative_1h['open']) informative_1h['safe_dump_60'] = (informative_1h['hl_pct_change_5'] < self.entry_dump_protection_60_5.value) | (informative_1h['close'] < informative_1h['low_5']) | (informative_1h['close'] > informative_1h['open']) informative_1h['exit_pump_48_1'] = informative_1h['hl_pct_change_48'] > self.exit_pump_threshold_48_1.value informative_1h['exit_pump_48_2'] = informative_1h['hl_pct_change_48'] > self.exit_pump_threshold_48_2.value informative_1h['exit_pump_48_3'] = informative_1h['hl_pct_change_48'] > self.exit_pump_threshold_48_3.value informative_1h['exit_pump_36_1'] = informative_1h['hl_pct_change_36'] > self.exit_pump_threshold_36_1.value informative_1h['exit_pump_36_2'] = informative_1h['hl_pct_change_36'] > self.exit_pump_threshold_36_2.value informative_1h['exit_pump_36_3'] = informative_1h['hl_pct_change_36'] > self.exit_pump_threshold_36_3.value informative_1h['exit_pump_24_1'] = informative_1h['hl_pct_change_24'] > self.exit_pump_threshold_24_1.value informative_1h['exit_pump_24_2'] = informative_1h['hl_pct_change_24'] > self.exit_pump_threshold_24_2.value informative_1h['exit_pump_24_3'] = informative_1h['hl_pct_change_24'] > self.exit_pump_threshold_24_3.value return informative_1h.copy() def normal_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: # BB 40 - STD2 bb_40_std2 = qtpylib.bollinger_bands(dataframe['close'], window=40, stds=2) dataframe['bb40_2_low'] = bb_40_std2['lower'] dataframe['bb40_2_mid'] = bb_40_std2['mid'] dataframe['bb40_2_delta'] = (bb_40_std2['mid'] - dataframe['bb40_2_low']).abs() dataframe['closedelta'] = (dataframe['close'] - dataframe['close'].shift()).abs() dataframe['tail'] = (dataframe['close'] - dataframe['bb40_2_low']).abs() # BB 20 - STD2 bb_20_std2 = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2) dataframe['bb20_2_low'] = bb_20_std2['lower'] dataframe['bb20_2_mid'] = bb_20_std2['mid'] dataframe['bb20_2_upp'] = bb_20_std2['upper'] # EMA 200 dataframe['ema_12'] = ta.EMA(dataframe, timeperiod=12) dataframe['ema_13'] = ta.EMA(dataframe, timeperiod=13) dataframe['ema_15'] = ta.EMA(dataframe, timeperiod=15) dataframe['ema_20'] = ta.EMA(dataframe, timeperiod=20) dataframe['ema_25'] = ta.EMA(dataframe, timeperiod=25) dataframe['ema_26'] = ta.EMA(dataframe, timeperiod=26) dataframe['ema_35'] = ta.EMA(dataframe, timeperiod=35) 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_15'] = ta.SMA(dataframe, timeperiod=15) dataframe['sma_20'] = ta.SMA(dataframe, timeperiod=20) dataframe['sma_30'] = ta.SMA(dataframe, timeperiod=30) dataframe['sma_200'] = ta.SMA(dataframe, timeperiod=200) dataframe['sma_200_dec_20'] = dataframe['sma_200'] < dataframe['sma_200'].shift(20) dataframe['sma_200_dec_24'] = dataframe['sma_200'] < dataframe['sma_200'].shift(24) # MFI dataframe['mfi'] = ta.MFI(dataframe) # CMF dataframe['cmf'] = chaikin_money_flow(dataframe, 20) # EWO dataframe['ewo'] = ewo(dataframe, 50, 200) # RSI dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14) dataframe['rsi_4'] = ta.RSI(dataframe, timeperiod=4) dataframe['rsi_20'] = ta.RSI(dataframe, timeperiod=20) # Chopiness dataframe['chop'] = qtpylib.chopiness(dataframe, 14) # Zero-Lag EMA dataframe['zema_61'] = zema(dataframe, period=61) # Williams %R dataframe['r_480'] = williams_r(dataframe, period=480) # Stochastic RSI stochrsi = ta.STOCHRSI(dataframe, timeperiod=96, fastk_period=3, fastd_period=3, fastd_matype=0) dataframe['stochrsi_fastk_96'] = stochrsi['fastk'] dataframe['stochrsi_fastd_96'] = stochrsi['fastd'] # Modified Elder Ray Index dataframe['moderi_32'] = moderi(dataframe, 32) dataframe['moderi_64'] = moderi(dataframe, 64) dataframe['moderi_96'] = moderi(dataframe, 96) # TSI dataframe['tsi_slow'] = tsi(dataframe, window_slow=20, window_fast=5) dataframe['tsi_ema_slow'] = ta.EMA(dataframe['tsi_slow'], timeperiod=5) dataframe['tsi_fast'] = tsi(dataframe, window_slow=4, window_fast=2) dataframe['tsi_ema_fast'] = ta.EMA(dataframe['tsi_fast'], timeperiod=2) # hull dataframe['hull_75'] = hull(dataframe, 75) # zlema dataframe['zlema_68'] = zlema(dataframe, 68) # CTI dataframe['cti'] = pta.cti(dataframe['close'], length=20) # For exit checks dataframe['crossed_below_ema_12_26'] = qtpylib.crossed_below(dataframe['ema_12'], dataframe['ema_26']) # Heiken Ashi heikinashi = qtpylib.heikinashi(dataframe) heikinashi['volume'] = dataframe['volume'] # Profit Maximizer - PMAX dataframe['pm'], dataframe['pmx'] = pmax(heikinashi, MAtype=1, length=9, multiplier=27, period=10, src=3) dataframe['source'] = (dataframe['high'] + dataframe['low'] + dataframe['open'] + dataframe['close']) / 4 dataframe['pmax_thresh'] = ta.EMA(dataframe['source'], timeperiod=9) dataframe['sma_21'] = ta.SMA(dataframe, timeperiod=21) dataframe['sma_68'] = ta.SMA(dataframe, timeperiod=68) dataframe['sma_75'] = ta.SMA(dataframe, timeperiod=75) # ATR dataframe['atr'] = ta.ATR(dataframe, timeperiod=14) dataframe['atr_high_thresh'] = dataframe['high'] - dataframe['atr'] * 2.83 dataframe['rsi_5'] = ta.RSI(dataframe, 5) dataframe['streak'] = calc_streaks(dataframe['close']) dataframe['srsi'] = ta.RSI(dataframe['streak'], 2) dataframe['roc'] = ta.ROC(dataframe, 5) dataframe['crsi'] = (dataframe['rsi_5'] + dataframe['srsi'] + dataframe['roc']) / 3 # Dip protection dataframe['tpct_change_0'] = self.top_percent_change(dataframe, 0) dataframe['tpct_change_2'] = self.top_percent_change(dataframe, 2) dataframe['tpct_change_12'] = self.top_percent_change(dataframe, 12) dataframe['tpct_change_144'] = self.top_percent_change(dataframe, 144) dataframe['safe_dips_10'] = self.safe_dips(dataframe, self.entry_dip_threshold_10_1.value, self.entry_dip_threshold_10_2.value, self.entry_dip_threshold_10_3.value, self.entry_dip_threshold_10_4.value) dataframe['safe_dips_20'] = self.safe_dips(dataframe, self.entry_dip_threshold_20_1.value, self.entry_dip_threshold_20_2.value, self.entry_dip_threshold_20_3.value, self.entry_dip_threshold_20_4.value) dataframe['safe_dips_30'] = self.safe_dips(dataframe, self.entry_dip_threshold_30_1.value, self.entry_dip_threshold_30_2.value, self.entry_dip_threshold_30_3.value, self.entry_dip_threshold_30_4.value) dataframe['safe_dips_40'] = self.safe_dips(dataframe, self.entry_dip_threshold_40_1.value, self.entry_dip_threshold_40_2.value, self.entry_dip_threshold_40_3.value, self.entry_dip_threshold_40_4.value) dataframe['safe_dips_50'] = self.safe_dips(dataframe, self.entry_dip_threshold_50_1.value, self.entry_dip_threshold_50_2.value, self.entry_dip_threshold_50_3.value, self.entry_dip_threshold_50_4.value) dataframe['safe_dips_60'] = self.safe_dips(dataframe, self.entry_dip_threshold_60_1.value, self.entry_dip_threshold_60_2.value, self.entry_dip_threshold_60_3.value, self.entry_dip_threshold_60_4.value) dataframe['safe_dips_70'] = self.safe_dips(dataframe, self.entry_dip_threshold_70_1.value, self.entry_dip_threshold_70_2.value, self.entry_dip_threshold_70_3.value, self.entry_dip_threshold_70_4.value) dataframe['safe_dips_80'] = self.safe_dips(dataframe, self.entry_dip_threshold_80_1.value, self.entry_dip_threshold_80_2.value, self.entry_dip_threshold_80_3.value, self.entry_dip_threshold_80_4.value) dataframe['safe_dips_90'] = self.safe_dips(dataframe, self.entry_dip_threshold_90_1.value, self.entry_dip_threshold_90_2.value, self.entry_dip_threshold_90_3.value, self.entry_dip_threshold_90_4.value) dataframe['safe_dips_100'] = self.safe_dips(dataframe, self.entry_dip_threshold_100_1.value, self.entry_dip_threshold_100_2.value, self.entry_dip_threshold_100_3.value, self.entry_dip_threshold_100_4.value) dataframe['safe_dips_110'] = self.safe_dips(dataframe, self.entry_dip_threshold_110_1.value, self.entry_dip_threshold_110_2.value, self.entry_dip_threshold_110_3.value, self.entry_dip_threshold_110_4.value) dataframe['safe_dips_120'] = self.safe_dips(dataframe, self.entry_dip_threshold_120_1.value, self.entry_dip_threshold_120_2.value, self.entry_dip_threshold_120_3.value, self.entry_dip_threshold_120_4.value) dataframe['safe_dips_130'] = self.safe_dips(dataframe, self.entry_dip_threshold_130_1.value, self.entry_dip_threshold_130_2.value, self.entry_dip_threshold_130_3.value, self.entry_dip_threshold_130_4.value) # Volume dataframe['volume_mean_4'] = dataframe['volume'].rolling(4).mean().shift(1) dataframe['volume_mean_30'] = dataframe['volume'].rolling(30).mean() if not self.config['runmode'].value in ('live', 'dry_run'): # Backtest age filter dataframe['bt_agefilter_ok'] = False dataframe.loc[dataframe.index > 12 * 24 * self.bt_min_age_days, 'bt_agefilter_ok'] = True else: # Exchange downtime protection dataframe['live_data_ok'] = dataframe['volume'].rolling(window=72, min_periods=72).min() > 0 return dataframe.copy() def resampled_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: # Indicators # ----------------------------------------------------------------------------------------- dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14) return dataframe def base_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: # Indicators # ----------------------------------------------------------------------------------------- dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14) # Add prefix # ----------------------------------------------------------------------------------------- ignore_columns = ['date', 'open', 'high', 'low', 'close', 'volume'] dataframe.rename(columns=lambda s: 'btc_' + s if not s in ignore_columns else s, inplace=True) return dataframe def info_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: # Indicators # ----------------------------------------------------------------------------------------- dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14) dataframe['not_downtrend'] = (dataframe['close'] > dataframe['close'].shift(2)) | (dataframe['rsi'] > 50) # Add prefix # ----------------------------------------------------------------------------------------- ignore_columns = ['date', 'open', 'high', 'low', 'close', 'volume'] dataframe.rename(columns=lambda s: 'btc_' + s if not s in ignore_columns else s, inplace=True) return dataframe def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: """ --> BTC informative (5m/1h) ___________________________________________________________________________________________ """ if self.has_BTC_base_tf: btc_base_tf = self.dp.get_pair_dataframe('BTC/USDT', self.timeframe) btc_base_tf = self.base_tf_btc_indicators(btc_base_tf, metadata) dataframe = merge_informative_pair(dataframe, btc_base_tf, self.timeframe, self.timeframe, ffill=True) drop_columns = [s + '_' + self.timeframe for s in ['date', 'open', 'high', 'low', 'close', 'volume']] dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) if self.has_BTC_info_tf: btc_info_tf = self.dp.get_pair_dataframe('BTC/USDT', self.info_timeframe) btc_info_tf = self.info_tf_btc_indicators(btc_info_tf, metadata) dataframe = merge_informative_pair(dataframe, btc_info_tf, self.timeframe, self.info_timeframe, ffill=True) drop_columns = [s + '_' + self.info_timeframe for s in ['date', 'open', 'high', 'low', 'close', 'volume']] dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) '\n --> Informative timeframe\n ___________________________________________________________________________________________\n ' if self.info_timeframe != 'none': informative_1h = self.informative_1h_indicators(dataframe, metadata) dataframe = merge_informative_pair(dataframe, informative_1h, self.timeframe, self.info_timeframe, ffill=True) drop_columns = [s + '_' + self.info_timeframe for s in ['date']] dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) '\n --> Resampled to another timeframe\n ___________________________________________________________________________________________\n ' if self.res_timeframe != 'none': resampled = resample_to_interval(dataframe, timeframe_to_minutes(self.res_timeframe)) resampled = self.resampled_tf_indicators(resampled, metadata) # Merge resampled info dataframe dataframe = resampled_merge(dataframe, resampled, fill_na=True) dataframe.rename(columns=lambda s: s + '_{}'.format(self.res_timeframe) if 'resample_' in s else s, inplace=True) dataframe.rename(columns=lambda s: s.replace('resample_{}_'.format(self.res_timeframe.replace('m', '')), ''), inplace=True) drop_columns = [s + '_' + self.res_timeframe for s in ['date']] dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) '\n --> The indicators for the normal (5m) timeframe\n ___________________________________________________________________________________________\n ' dataframe = self.normal_tf_indicators(dataframe, metadata) return dataframe def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: conditions = [] entry_protection_list = [] # Protections [STANDARD] - Common to every condition for index in self.entry_protection_params: item_entry_protection_list = [True] global_entry_protection_params = self.entry_protection_params[index] if global_entry_protection_params['ema_fast'].value: item_entry_protection_list.append(dataframe[f"ema_{global_entry_protection_params['ema_fast_len'].value}"] > dataframe['ema_200']) if global_entry_protection_params['ema_slow'].value: item_entry_protection_list.append(dataframe[f"ema_{global_entry_protection_params['ema_slow_len'].value}_1h"] > dataframe['ema_200_1h']) if global_entry_protection_params['close_above_ema_fast'].value: item_entry_protection_list.append(dataframe['close'] > dataframe[f"ema_{global_entry_protection_params['close_above_ema_fast_len'].value}"]) if global_entry_protection_params['close_above_ema_slow'].value: item_entry_protection_list.append(dataframe['close'] > dataframe[f"ema_{global_entry_protection_params['close_above_ema_slow_len'].value}_1h"]) if global_entry_protection_params['sma200_rising'].value: item_entry_protection_list.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(global_entry_protection_params['sma200_rising_val'].value))) if global_entry_protection_params['sma200_1h_rising'].value: item_entry_protection_list.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(global_entry_protection_params['sma200_1h_rising_val'].value))) if global_entry_protection_params['safe_dips'].value: item_entry_protection_list.append(dataframe[f"safe_dips_{global_entry_protection_params['safe_dips_type'].value}"]) if global_entry_protection_params['safe_pump'].value: item_entry_protection_list.append(dataframe[f"safe_pump_{global_entry_protection_params['safe_pump_period'].value}_{global_entry_protection_params['safe_pump_type'].value}_1h"]) if global_entry_protection_params['btc_1h_not_downtrend'].value: item_entry_protection_list.append(dataframe['btc_not_downtrend_1h']) if not self.config['runmode'].value in ('live', 'dry_run'): if self.has_bt_agefilter: item_entry_protection_list.append(dataframe['bt_agefilter_ok']) elif self.has_downtime_protection: item_entry_protection_list.append(dataframe['live_data_ok']) entry_protection_list.append(item_entry_protection_list) # Buy Condition #1 dataframe.loc[:, 'entry_condition_1'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_1_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[0])) item_entry_logic.append((dataframe['close'] - dataframe['open'].rolling(36).min()) / dataframe['open'].rolling(36).min() > self.entry_min_inc_1.value) item_entry_logic.append(dataframe['rsi_1h'] > self.entry_rsi_1h_min_1.value) item_entry_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_max_1.value) item_entry_logic.append(dataframe['rsi'] < self.entry_rsi_1.value) item_entry_logic.append(dataframe['mfi'] < self.entry_mfi_1.value) item_entry_logic.append(dataframe['cti'] < self.entry_cti_1.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_1'] = True # Buy Condition #2 dataframe.loc[:, 'entry_condition_2'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_2_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[1])) item_entry_logic.append(dataframe['rsi'] < dataframe['rsi_1h'] - self.entry_rsi_1h_diff_2.value) item_entry_logic.append(dataframe['mfi'] < self.entry_mfi_2.value) item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_2.value) item_entry_logic.append(dataframe['volume'] < dataframe['volume_mean_4'] * self.entry_volume_2.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_2'] = True # Buy Condition #3 dataframe.loc[:, 'entry_condition_3'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_3_enable']: # Non-Standard protections (add below) entry_protection_list[2].append(dataframe['close'] > dataframe['ema_200_1h'] * self.entry_ema_rel_3.value) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[2])) item_entry_logic.append(dataframe['bb40_2_low'].shift().gt(0)) item_entry_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * self.entry_bb40_bbdelta_close_3.value)) item_entry_logic.append(dataframe['closedelta'].gt(dataframe['close'] * self.entry_bb40_closedelta_close_3.value)) item_entry_logic.append(dataframe['tail'].lt(dataframe['bb40_2_delta'] * self.entry_bb40_tail_bbdelta_3.value)) item_entry_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift())) item_entry_logic.append(dataframe['close'].le(dataframe['close'].shift())) item_entry_logic.append(dataframe['cti'] < self.entry_cti_3.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_3'] = True # Buy Condition #4 dataframe.loc[:, 'entry_condition_4'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_4_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[3])) item_entry_logic.append(dataframe['close'] < dataframe['ema_50']) item_entry_logic.append(dataframe['close'] < self.entry_bb20_close_bblowerband_4.value * dataframe['bb20_2_low']) item_entry_logic.append(dataframe['volume'] < dataframe['volume_mean_30'].shift(1) * self.entry_bb20_volume_4.value) item_entry_logic.append(dataframe['cti'] < self.entry_cti_4.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_4'] = True # Buy Condition #5 dataframe.loc[:, 'entry_condition_5'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_5_enable']: # Non-Standard protections (add below) entry_protection_list[4].append(dataframe['close'] > dataframe['ema_200_1h'] * self.entry_ema_rel_5.value) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[4])) item_entry_logic.append(dataframe['ema_26'] > dataframe['ema_12']) item_entry_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * self.entry_ema_open_mult_5.value) item_entry_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100) item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_5.value) item_entry_logic.append(dataframe['cti'] < self.entry_cti_5.value) item_entry_logic.append(dataframe['volume'] < dataframe['volume_mean_4'] * self.entry_volume_5.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_5'] = True # Buy Condition #6 dataframe.loc[:, 'entry_condition_6'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_6_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[5])) item_entry_logic.append(dataframe['ema_26'] > dataframe['ema_12']) item_entry_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * self.entry_ema_open_mult_6.value) item_entry_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100) item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_6.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_6'] = True # Buy Condition #7 dataframe.loc[:, 'entry_condition_7'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_7_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[6])) item_entry_logic.append(dataframe['ema_26'] > dataframe['ema_12']) item_entry_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * self.entry_ema_open_mult_7.value) item_entry_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100) item_entry_logic.append(dataframe['cti'] < self.entry_cti_7.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_7'] = True # Buy Condition #8 dataframe.loc[:, 'entry_condition_8'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_8_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[7])) item_entry_logic.append(dataframe['moderi_96']) item_entry_logic.append(dataframe['cti'] < self.entry_cti_8.value) item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_8.value) item_entry_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_8.value) item_entry_logic.append(dataframe['volume'] < dataframe['volume_mean_4'] * self.entry_volume_8.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_8'] = True # Buy Condition #9 dataframe.loc[:, 'entry_condition_9'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_9_enable']: # Non-Standard protections (add below) entry_protection_list[8].append(dataframe['ema_50'] > dataframe['ema_200']) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[8])) item_entry_logic.append(dataframe['close'] < dataframe['ema_20'] * self.entry_ma_offset_9.value) item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_9.value) item_entry_logic.append(dataframe['rsi_1h'] > self.entry_rsi_1h_min_9.value) item_entry_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_max_9.value) item_entry_logic.append(dataframe['mfi'] < self.entry_mfi_9.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_9'] = True # Buy Condition #10 dataframe.loc[:, 'entry_condition_10'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_10_enable']: # Non-Standard protections (add below) entry_protection_list[9].append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[9])) item_entry_logic.append(dataframe['close'] < dataframe['sma_30'] * self.entry_ma_offset_10.value) item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_10.value) item_entry_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_10.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_10'] = True # Buy Condition #11 dataframe.loc[:, 'entry_condition_11'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_11_enable']: # Non-Standard protections (add below) entry_protection_list[10].append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[10])) item_entry_logic.append((dataframe['close'] - dataframe['open'].rolling(36).min()) / dataframe['open'].rolling(36).min() > self.entry_min_inc_11.value) item_entry_logic.append(dataframe['close'] < dataframe['sma_30'] * self.entry_ma_offset_11.value) item_entry_logic.append(dataframe['rsi_1h'] > self.entry_rsi_1h_min_11.value) item_entry_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_max_11.value) item_entry_logic.append(dataframe['rsi'] < self.entry_rsi_11.value) item_entry_logic.append(dataframe['mfi'] < self.entry_mfi_11.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_11'] = True # Buy Condition #12 dataframe.loc[:, 'entry_condition_12'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_12_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[11])) item_entry_logic.append(dataframe['close'] < dataframe['sma_30'] * self.entry_ma_offset_12.value) item_entry_logic.append(dataframe['ewo'] > self.entry_ewo_12.value) item_entry_logic.append(dataframe['rsi'] < self.entry_rsi_12.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_12'] = True # Buy Condition #13 dataframe.loc[:, 'entry_condition_13'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_13_enable']: # Non-Standard protections (add below) entry_protection_list[12].append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[12])) item_entry_logic.append(dataframe['close'] < dataframe['sma_30'] * self.entry_ma_offset_13.value) item_entry_logic.append(dataframe['cti'] < self.entry_cti_13.value) item_entry_logic.append(dataframe['ewo'] < self.entry_ewo_13.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_13'] = True # Buy Condition #14 dataframe.loc[:, 'entry_condition_14'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_14_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[13])) item_entry_logic.append(dataframe['ema_26'] > dataframe['ema_12']) item_entry_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * self.entry_ema_open_mult_14.value) item_entry_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100) item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_14.value) item_entry_logic.append(dataframe['close'] < dataframe['ema_20'] * self.entry_ma_offset_14.value) item_entry_logic.append(dataframe['cti'] < self.entry_cti_14.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_14'] = True # Buy Condition #15 dataframe.loc[:, 'entry_condition_15'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_15_enable']: # Non-Standard protections (add below) entry_protection_list[14].append(dataframe['close'] > dataframe['ema_200_1h'] * self.entry_ema_rel_15.value) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[14])) item_entry_logic.append(dataframe['ema_26'] > dataframe['ema_12']) item_entry_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * self.entry_ema_open_mult_15.value) item_entry_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100) item_entry_logic.append(dataframe['rsi'] < self.entry_rsi_15.value) item_entry_logic.append(dataframe['close'] < dataframe['ema_20'] * self.entry_ma_offset_15.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_15'] = True # Buy Condition #16 dataframe.loc[:, 'entry_condition_16'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_16_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[15])) item_entry_logic.append(dataframe['close'] < dataframe['ema_20'] * self.entry_ma_offset_16.value) item_entry_logic.append(dataframe['ewo'] > self.entry_ewo_16.value) item_entry_logic.append(dataframe['rsi'] < self.entry_rsi_16.value) item_entry_logic.append(dataframe['cti'] < self.entry_cti_16.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_16'] = True # Buy Condition #17 dataframe.loc[:, 'entry_condition_17'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_17_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[16])) item_entry_logic.append(dataframe['close'] < dataframe['ema_20'] * self.entry_ma_offset_17.value) item_entry_logic.append(dataframe['ewo'] < self.entry_ewo_17.value) item_entry_logic.append(dataframe['cti'] < self.entry_cti_17.value) item_entry_logic.append(dataframe['volume'] < dataframe['volume_mean_4'] * self.entry_volume_17.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_17'] = True # Buy Condition #18 dataframe.loc[:, 'entry_condition_18'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_18_enable']: # Non-Standard protections (add below) entry_protection_list[17].append(dataframe['sma_200'] > dataframe['sma_200'].shift(20)) entry_protection_list[17].append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(36)) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[17])) item_entry_logic.append(dataframe['rsi'] < self.entry_rsi_18.value) item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_18.value) item_entry_logic.append(dataframe['volume'] < dataframe['volume_mean_4'] * self.entry_volume_18.value) item_entry_logic.append(dataframe['cti'] < self.entry_cti_18.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_18'] = True # Buy Condition #19 dataframe.loc[:, 'entry_condition_19'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_19_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[18])) item_entry_logic.append(dataframe['close'].shift(1) > dataframe['ema_100_1h']) item_entry_logic.append(dataframe['low'] < dataframe['ema_100_1h']) item_entry_logic.append(dataframe['close'] > dataframe['ema_100_1h']) item_entry_logic.append(dataframe['rsi_1h'] > self.entry_rsi_1h_min_19.value) item_entry_logic.append(dataframe['chop'] < self.entry_chop_min_19.value) item_entry_logic.append(dataframe['moderi_32'] == True) item_entry_logic.append(dataframe['moderi_64'] == True) item_entry_logic.append(dataframe['moderi_96'] == True) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_19'] = True # Buy Condition #20 dataframe.loc[:, 'entry_condition_20'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_20_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[19])) item_entry_logic.append(dataframe['rsi'] < self.entry_rsi_20.value) item_entry_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_20.value) item_entry_logic.append(dataframe['cti'] < self.entry_cti_20.value) item_entry_logic.append(dataframe['volume'] < dataframe['volume_mean_4'] * self.entry_volume_20.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_20'] = True # Buy Condition #21 dataframe.loc[:, 'entry_condition_21'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_21_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[20])) item_entry_logic.append(dataframe['rsi'] < self.entry_rsi_21.value) item_entry_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_21.value) item_entry_logic.append(dataframe['cti'] < self.entry_cti_21.value) item_entry_logic.append(dataframe['volume'] < dataframe['volume_mean_4'] * self.entry_volume_21.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_21'] = True # Buy Condition #22 dataframe.loc[:, 'entry_condition_22'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_22_enable']: # Non-Standard protections (add below) entry_protection_list[21].append(dataframe['ema_100_1h'] > dataframe['ema_100_1h'].shift(12)) entry_protection_list[21].append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(36)) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[21])) item_entry_logic.append(dataframe['volume_mean_4'] * self.entry_volume_22.value > dataframe['volume']) item_entry_logic.append(dataframe['close'] < dataframe['sma_30'] * self.entry_ma_offset_22.value) item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_22.value) item_entry_logic.append(dataframe['ewo'] > self.entry_ewo_22.value) item_entry_logic.append(dataframe['rsi'] < self.entry_rsi_22.value) item_entry_logic.append(dataframe['safe_dump_20_1h']) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_22'] = True # Buy Condition #23 dataframe.loc[:, 'entry_condition_23'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_23_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[22])) item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_23.value) item_entry_logic.append(dataframe['ewo'] > self.entry_ewo_23.value) item_entry_logic.append(dataframe['rsi'] < self.entry_rsi_23.value) item_entry_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_23.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_23'] = True # Buy Condition #24 dataframe.loc[:, 'entry_condition_24'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_24_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[23])) item_entry_logic.append(dataframe['ema_12_1h'].shift(12) < dataframe['ema_35_1h'].shift(12)) item_entry_logic.append(dataframe['ema_12_1h'] > dataframe['ema_35_1h']) item_entry_logic.append(dataframe['cmf_1h'].shift(12) < 0) item_entry_logic.append(dataframe['cmf_1h'] > 0) item_entry_logic.append(dataframe['rsi'] < self.entry_24_rsi_max.value) item_entry_logic.append(dataframe['rsi_1h'] > self.entry_24_rsi_1h_min.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_24'] = True # Buy Condition #25 dataframe.loc[:, 'entry_condition_25'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_25_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[24])) item_entry_logic.append(dataframe['rsi_20'] < dataframe['rsi_20'].shift()) item_entry_logic.append(dataframe['rsi_4'] < self.entry_25_rsi_4.value) item_entry_logic.append(dataframe['ema_20_1h'] > dataframe['ema_26_1h']) item_entry_logic.append(dataframe['close'] < dataframe['sma_20'] * self.entry_25_ma_offset.value) item_entry_logic.append(dataframe['open'] > dataframe['sma_20'] * self.entry_25_ma_offset.value) item_entry_logic.append((dataframe['open'] < dataframe['ema_20_1h']) & (dataframe['low'] < dataframe['ema_20_1h']) | (dataframe['open'] > dataframe['ema_20_1h']) & (dataframe['low'] > dataframe['ema_20_1h'])) item_entry_logic.append(dataframe['cti'] < self.entry_25_cti.value) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_25'] = True # Buy Condition #26 dataframe.loc[:, 'entry_condition_26'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_26_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[25])) item_entry_logic.append(dataframe['close'] < dataframe['zema_61'] * self.entry_26_zema_low_offset.value) item_entry_logic.append(dataframe['cti'] < self.entry_26_cti.value) item_entry_logic.append(dataframe['volume'] < dataframe['volume_mean_4'] * self.entry_26_volume.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_26'] = True # Buy Condition #27 dataframe.loc[:, 'entry_condition_27'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_27_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[26])) item_entry_logic.append(dataframe['r_480'] < -self.entry_27_wr_max.value) item_entry_logic.append(dataframe['r_480_1h'] < -self.entry_27_wr_1h_max.value) item_entry_logic.append(dataframe['rsi_1h'] + dataframe['rsi'] < self.entry_27_rsi_max.value) item_entry_logic.append(dataframe['cti'] < self.entry_27_cti.value) item_entry_logic.append(dataframe['volume'] < dataframe['volume_mean_4'] * self.entry_27_volume.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_27'] = True # Buy Condition #28 dataframe.loc[:, 'entry_condition_28'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_28_enable']: # Non-Standard protections (add below) # Logic item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[27])) item_entry_logic.append(dataframe['moderi_64'] == True) item_entry_logic.append(dataframe['close'] < dataframe['hull_75'] * self.entry_28_ma_offset.value) item_entry_logic.append(dataframe['ewo'] > self.entry_28_ewo.value) item_entry_logic.append(dataframe['rsi'] < self.entry_28_rsi.value) item_entry_logic.append(dataframe['cti'] < self.entry_28_cti.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_28'] = True # Buy Condition #29 dataframe.loc[:, 'entry_condition_29'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_29_enable']: # Non-Standard protections (add below) item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[28])) item_entry_logic.append(dataframe['moderi_64'] == True) item_entry_logic.append(dataframe['close'] < dataframe['hull_75'] * self.entry_29_ma_offset.value) item_entry_logic.append(dataframe['ewo'] < self.entry_29_ewo.value) item_entry_logic.append(dataframe['cti'] < self.entry_29_cti.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_29'] = True # Buy Condition #30 dataframe.loc[:, 'entry_condition_30'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_30_enable']: # Non-Standard protections (add below) item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[29])) item_entry_logic.append(dataframe['moderi_64'] == False) item_entry_logic.append(dataframe['close'] < dataframe['zlema_68'] * self.entry_30_ma_offset.value) item_entry_logic.append(dataframe['ewo'] > self.entry_30_ewo.value) item_entry_logic.append(dataframe['rsi'] < self.entry_30_rsi.value) item_entry_logic.append(dataframe['cti'] < self.entry_30_cti.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_30'] = True # Buy Condition #31 dataframe.loc[:, 'entry_condition_31'] = False # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_31_enable']: # Non-Standard protections (add below) item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[30])) item_entry_logic.append(dataframe['moderi_64'] == False) item_entry_logic.append(dataframe['close'] < dataframe['zlema_68'] * self.entry_31_ma_offset.value) item_entry_logic.append(dataframe['ewo'] < self.entry_31_ewo.value) item_entry_logic.append(dataframe['r_480'] < self.entry_31_wr.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_31'] = True # Buy Condition #32 dataframe.loc[:, 'entry_condition_32'] = False # Quick mode entry # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_32_enable']: # Non-Standard protections (add below) item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[31])) item_entry_logic.append(dataframe['moderi_32']) item_entry_logic.append(dataframe['moderi_64']) item_entry_logic.append(dataframe['moderi_96']) item_entry_logic.append(dataframe['cti'] < self.entry_32_cti.value) item_entry_logic.append(dataframe['rsi_20'] < dataframe['rsi_20'].shift(1)) item_entry_logic.append(dataframe['rsi_4'] < self.entry_32_rsi.value) item_entry_logic.append(dataframe['ema_20_1h'] > dataframe['ema_25_1h']) item_entry_logic.append((dataframe['open'] - dataframe['close']) / dataframe['close'] < self.entry_32_dip.value) item_entry_logic.append(dataframe['close'] < dataframe['sma_15'] * self.entry_32_ma_offset.value) item_entry_logic.append((dataframe['open'] < dataframe['ema_20_1h']) & (dataframe['low'] < dataframe['ema_20_1h']) | (dataframe['open'] > dataframe['ema_20_1h']) & (dataframe['low'] > dataframe['ema_20_1h'])) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_32'] = True # Buy Condition #33 dataframe.loc[:, 'entry_condition_33'] = False # Quick mode entry # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_33_enable']: # Non-Standard protections (add below) item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[32])) item_entry_logic.append(dataframe['moderi_96']) item_entry_logic.append(dataframe['cti'] < self.entry_33_cti.value) item_entry_logic.append(dataframe['close'] < dataframe['ema_13'] * self.entry_33_ma_offset.value) item_entry_logic.append(dataframe['ewo'] > self.entry_33_ewo.value) item_entry_logic.append(dataframe['rsi'] < self.entry_33_rsi.value) item_entry_logic.append(dataframe['volume'] < dataframe['volume_mean_4'] * self.entry_33_volume.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_33'] = True # Buy Condition #34 dataframe.loc[:, 'entry_condition_34'] = False # Quick mode entry # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_34_enable']: # Non-Standard protections (add below) item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[33])) item_entry_logic.append(dataframe['cti'] < self.entry_34_cti.value) item_entry_logic.append((dataframe['open'] - dataframe['close']) / dataframe['close'] < self.entry_34_dip.value) item_entry_logic.append(dataframe['close'] < dataframe['ema_13'] * self.entry_34_ma_offset.value) item_entry_logic.append(dataframe['ewo'] < self.entry_34_ewo.value) item_entry_logic.append(dataframe['volume'] < dataframe['volume_mean_4'] * self.entry_34_volume.value) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_34'] = True # Buy Condition #35 # PMAX0 entry # ----------------------------------------------------------------------------------------- dataframe.loc[:, 'entry_condition_35'] = False if self.entry_params['entry_condition_35_enable']: # Non-Standard protections (add below) item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[34])) item_entry_logic.append(dataframe['pm'] <= dataframe['pmax_thresh']) item_entry_logic.append(dataframe['close'] < dataframe['sma_75'] * 0.98) item_entry_logic.append(dataframe['ewo'] > 8.2) item_entry_logic.append(dataframe['rsi'] < 32.0) item_entry_logic.append(dataframe['cti'] < -0.5) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_35'] = True # Buy Condition #36 dataframe.loc[:, 'entry_condition_36'] = False # PMAX1 entry # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_36_enable']: # Non-Standard protections (add below) item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[35])) item_entry_logic.append(dataframe['pm'] <= dataframe['pmax_thresh']) item_entry_logic.append(dataframe['close'] < dataframe['sma_75'] * 0.98) item_entry_logic.append(dataframe['ewo'] < -8.0) item_entry_logic.append(dataframe['cti'] < -0.8) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_36'] = True # Buy Condition #37 dataframe.loc[:, 'entry_condition_37'] = False # PMAX2 entry # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_37_enable']: # Non-Standard protections (add below) item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[36])) item_entry_logic.append(dataframe['pm'] > dataframe['pmax_thresh']) item_entry_logic.append(dataframe['close'] < dataframe['sma_75'] * 0.93) item_entry_logic.append(dataframe['ewo'] > 8.0) item_entry_logic.append(dataframe['rsi'] < 56.0) item_entry_logic.append(dataframe['cti'] < -0.84) item_entry_logic.append(dataframe['safe_dump_50_1h']) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_37'] = True # Buy Condition #38 dataframe.loc[:, 'entry_condition_38'] = False # PMAX3 entry # ----------------------------------------------------------------------------------------- if self.entry_params['entry_condition_38_enable']: # Non-Standard protections (add below) item_entry_logic = [] item_entry_logic.append(reduce(lambda x, y: x & y, entry_protection_list[37])) item_entry_logic.append(dataframe['pm'] > dataframe['pmax_thresh']) item_entry_logic.append(dataframe['close'] < dataframe['sma_75'] * 0.7) item_entry_logic.append(dataframe['ewo'] < -2.0) item_entry_logic.append(dataframe['cti'] < -0.86) item_entry_logic.append(dataframe['volume'] > 0) item_entry = reduce(lambda x, y: x & y, item_entry_logic) conditions.append(item_entry) dataframe.loc[item_entry, 'entry_condition_38'] = True if conditions: dataframe.loc[:, 'entry'] = reduce(lambda x, y: x | y, conditions) return dataframe def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe.loc[:, 'exit'] = 0 return dataframe def confirm_trade_exit(self, pair: str, trade: 'Trade', order_type: str, amount: float, rate: float, time_in_force: str, exit_reason: str, **kwargs) -> bool: """ Called right before placing a regular exit order. Timing for this function is critical, so avoid doing heavy computations or network requests in this method. For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/ When not implemented by a strategy, returns True (always confirming). :param pair: Pair that's about to be sold. :param trade: trade object. :param order_type: Order type (as configured in order_types). usually limit or market. :param amount: Amount in quote currency. :param rate: Rate that's going to be used when using limit orders :param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled). :param exit_reason: Sell reason. Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss', 'exit_signal', 'force_exit', 'emergency_exit'] :param **kwargs: Ensure to keep this here so updates to this won't break your strategy. :return bool: When True is returned, then the exit-order is placed on the exchange. False aborts the process """ # Just to be sure our hold data is loaded, should be a no-op call after the first bot loop if self.config['runmode'].value in ('live', 'dry_run'): self.load_hold_trades_config() if not self.hold_trade_ids: # We have no pairs we want to hold until profit, exit return True if trade.id not in self.hold_trade_ids: # This pair is not on the list to hold until profit, exit return True trade_profit_ratio = self.hold_trade_ids[trade.id] current_profit_ratio = trade.calc_profit_ratio(rate) if exit_reason == 'force_exit': formatted_profit_ratio = '{}%'.format(trade_profit_ratio * 100) formatted_current_profit_ratio = '{}%'.format(current_profit_ratio * 100) log.warning('Force exiting %s even though the current profit of %s < %s', trade, formatted_current_profit_ratio, formatted_profit_ratio) return True elif current_profit_ratio >= trade_profit_ratio: # This pair is on the list to hold, and we reached minimum profit, exit return True # This pair is on the list to hold, and we haven't reached minimum profit, hold return False else: return True # 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) -> Series: """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') def tsi(dataframe: DataFrame, window_slow: int, window_fast: int, fillna=False) -> Series: """ Indicator: True Strength Index (TSI) :param dataframe: DataFrame The original OHLC dataframe :param window_slow: slow smoothing period :param window_fast: fast smoothing period :param fillna: If True fill NaN values """ df = dataframe.copy() min_periods_slow = 0 if fillna else window_slow min_periods_fast = 0 if fillna else window_fast close_diff = df['close'].diff() close_diff_abs = close_diff.abs() smooth_close_diff = close_diff.ewm(span=window_slow, min_periods=min_periods_slow, adjust=False).mean().ewm(span=window_fast, min_periods=min_periods_fast, adjust=False).mean() smooth_close_diff_abs = close_diff_abs.ewm(span=window_slow, min_periods=min_periods_slow, adjust=False).mean().ewm(span=window_fast, min_periods=min_periods_fast, adjust=False).mean() tsi = smooth_close_diff / smooth_close_diff_abs * 100 if fillna: tsi = tsi.replace([np.inf, -np.inf], np.nan).fillna(0) return tsi # Williams %R def williams_r(dataframe: DataFrame, period: int=14) -> Series: """Williams %R, or just %R, is a technical analysis oscillator showing the current closing price in relation to the high and low of the past N days (for a given N). It was developed by a publisher and promoter of trading materials, Larry Williams. Its purpose is to tell whether a stock or commodity market is trading near the high or the low, or somewhere in between, of its recent trading range. The oscillator is on a negative scale, from −100 (lowest) up to 0 (highest). """ highest_high = dataframe['high'].rolling(center=False, window=period).max() lowest_low = dataframe['low'].rolling(center=False, window=period).min() WR = Series((highest_high - dataframe['close']) / (highest_high - lowest_low), name='{0} Williams %R'.format(period)) return WR * -100 # Volume Weighted Moving Average def vwma(dataframe: DataFrame, length: int=10): """Indicator: Volume Weighted Moving Average (VWMA)""" # Calculate Result pv = dataframe['close'] * dataframe['volume'] vwma = Series(ta.SMA(pv, timeperiod=length) / ta.SMA(dataframe['volume'], timeperiod=length)) return vwma # Modified Elder Ray Index def moderi(dataframe: DataFrame, len_slow_ma: int=32) -> Series: slow_ma = Series(ta.EMA(vwma(dataframe, length=len_slow_ma), timeperiod=len_slow_ma)) return slow_ma >= slow_ma.shift(1) # we just need true & false for ERI trend # zlema def zlema(dataframe, timeperiod): lag = int(math.floor((timeperiod - 1) / 2)) if isinstance(dataframe, Series): ema_data = dataframe + (dataframe - dataframe.shift(lag)) else: ema_data = dataframe['close'] + (dataframe['close'] - dataframe['close'].shift(lag)) return ta.EMA(ema_data, timeperiod=timeperiod) # zlhull def zlhull(dataframe, timeperiod): lag = int(math.floor((timeperiod - 1) / 2)) if isinstance(dataframe, Series): wma_data = dataframe + (dataframe - dataframe.shift(lag)) else: wma_data = dataframe['close'] + (dataframe['close'] - dataframe['close'].shift(lag)) return ta.WMA(2 * ta.WMA(wma_data, int(math.floor(timeperiod / 2))) - ta.WMA(wma_data, timeperiod), int(round(np.sqrt(timeperiod)))) # hull def hull(dataframe, timeperiod): if isinstance(dataframe, Series): return ta.WMA(2 * ta.WMA(dataframe, int(math.floor(timeperiod / 2))) - ta.WMA(dataframe, timeperiod), int(round(np.sqrt(timeperiod)))) else: return ta.WMA(2 * ta.WMA(dataframe['close'], int(math.floor(timeperiod / 2))) - ta.WMA(dataframe['close'], timeperiod), int(round(np.sqrt(timeperiod)))) # PMAX def pmax(df, period, multiplier, length, MAtype, src): period = int(period) multiplier = int(multiplier) length = int(length) MAtype = int(MAtype) src = int(src) mavalue = 'MA_' + str(MAtype) + '_' + str(length) atr = 'ATR_' + str(period) pm = 'pm_' + str(period) + '_' + str(multiplier) + '_' + str(length) + '_' + str(MAtype) pmx = 'pmX_' + str(period) + '_' + str(multiplier) + '_' + str(length) + '_' + str(MAtype) # MAtype==1 --> EMA # MAtype==2 --> DEMA # MAtype==3 --> T3 # MAtype==4 --> SMA # MAtype==5 --> VIDYA # MAtype==6 --> TEMA # MAtype==7 --> WMA # MAtype==8 --> VWMA # MAtype==9 --> zema if src == 1: masrc = df['close'] elif src == 2: masrc = (df['high'] + df['low']) / 2 elif src == 3: masrc = (df['high'] + df['low'] + df['close'] + df['open']) / 4 if MAtype == 1: mavalue = ta.EMA(masrc, timeperiod=length) elif MAtype == 2: mavalue = ta.DEMA(masrc, timeperiod=length) elif MAtype == 3: mavalue = ta.T3(masrc, timeperiod=length) elif MAtype == 4: mavalue = ta.SMA(masrc, timeperiod=length) elif MAtype == 5: mavalue = VIDYA(df, length=length) elif MAtype == 6: mavalue = ta.TEMA(masrc, timeperiod=length) elif MAtype == 7: mavalue = ta.WMA(df, timeperiod=length) elif MAtype == 8: mavalue = vwma(df, length) elif MAtype == 9: mavalue = zema(df, period=length) df[atr] = ta.ATR(df, timeperiod=period) df['basic_ub'] = mavalue + multiplier / 10 * df[atr] df['basic_lb'] = mavalue - multiplier / 10 * df[atr] basic_ub = df['basic_ub'].values final_ub = np.full(len(df), 0.0) basic_lb = df['basic_lb'].values final_lb = np.full(len(df), 0.0) for i in range(period, len(df)): final_ub[i] = basic_ub[i] if basic_ub[i] < final_ub[i - 1] or mavalue[i - 1] > final_ub[i - 1] else final_ub[i - 1] final_lb[i] = basic_lb[i] if basic_lb[i] > final_lb[i - 1] or mavalue[i - 1] < final_lb[i - 1] else final_lb[i - 1] df['final_ub'] = final_ub df['final_lb'] = final_lb pm_arr = np.full(len(df), 0.0) for i in range(period, len(df)): pm_arr[i] = final_ub[i] if pm_arr[i - 1] == final_ub[i - 1] and mavalue[i] <= final_ub[i] else final_lb[i] if pm_arr[i - 1] == final_ub[i - 1] and mavalue[i] > final_ub[i] else final_lb[i] if pm_arr[i - 1] == final_lb[i - 1] and mavalue[i] >= final_lb[i] else final_ub[i] if pm_arr[i - 1] == final_lb[i - 1] and mavalue[i] < final_lb[i] else 0.0 pm = Series(pm_arr) # Mark the trend direction up/down pmx = np.where(pm_arr > 0.0, np.where(mavalue < pm_arr, 'down', 'up'), np.NaN) return (pm, pmx) def calc_streaks(series: Series): # logic tables geq = series >= series.shift(1) # True if rising eq = series == series.shift(1) # True if equal logic_table = concat([geq, eq], axis=1) streaks = [0] # holds the streak duration, starts with 0 for row in logic_table.iloc[1:].itertuples(): # iterate through logic table if row[2]: # same value as before streaks.append(0) continue last_value = streaks[-1] if row[1]: # higher value than before streaks.append(last_value + 1 if last_value >= 0 else 1) # increase or reset to +1 else: # lower value than before streaks.append(last_value - 1 if last_value < 0 else -1) # decrease or reset to -1 return streaks