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 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 import pandas_ta as pta import pandas as pd log = logging.getLogger(__name__) ########################################################################################################### ## NostalgiaForInfinityV8 by iterativ ## ## ## ## Strategy for Freqtrade https://github.com/freqtrade/freqtrade ## ## ## ########################################################################################################### ## GENERAL RECOMMENDATIONS ## ## ## ## For optimal performance, suggested to use between 4 and 6 open trades, with unlimited stake. ## ## A pairlist with 40 to 80 pairs. Volume pairlist works well. ## ## Prefer stable coin (USDT, BUSDT etc) pairs, instead of BTC or ETH pairs. ## ## Highly recommended to blacklist leveraged tokens (*BULL, *BEAR, *UP, *DOWN etc). ## ## Ensure that you don't override any variables in you config.json. Especially ## ## the timeframe (must be 5m). ## ## use_sell_signal must set to true (or not set at all). ## ## sell_profit_only must set to false (or not set at all). ## ## ignore_roi_if_buy_signal must set to true (or not set at all). ## ## ## ########################################################################################################### ## 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 ## ## ## ########################################################################################################### pmaxtype = 1 pmaxl = 10 pmaxmulti = 3 pmaxperiod = 10 mavalue = 'MA_' + str(pmaxtype)+ '_' + str(pmaxl) # 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 def zlema(dataframe, timeperiod): lag = int(math.floor((timeperiod - 1) / 2) ) if isinstance(dataframe, pd.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) def zlhull(dataframe, timeperiod): lag = int(math.floor((timeperiod - 1) / 2) ) if isinstance(dataframe, pd.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))) ) def hull(dataframe, timeperiod): if isinstance(dataframe, pd.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))) ) ma_types = { 'SMA': ta.SMA, # 'EMA': ta.EMA, 'zlema': zlema, # 'zlhull':zlhull , # 'WMA' : ta.WMA, 'hull' : hull, # 'TEMA': ta.TEMA, # 'DEMA': ta.DEMA, # 'TRIMA':ta.TRIMA, # 'KAMA':ta.KAMA, 'T3':ta.T3 , } class NostalgiaForInfinityNext_ChangeToTower_V2(IStrategy): INTERFACE_VERSION = 2 # # 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' has_BTC_base_tf = False has_BTC_info_tf = True # Run "populate_indicators()" only for new candle. process_only_new_candles = True # These values can be overridden in the "ask_strategy" section in the config. use_sell_signal = True sell_profit_only = False ignore_roi_if_buy_signal = True # Number of candles the strategy requires before producing valid signals startup_candle_count: int = 480 # Optional order type mapping. order_types = { 'buy': 'limit', 'sell': 'limit', 'trailing_stop_loss': 'limit', 'stoploss': 'limit', 'stoploss_on_exchange': False } ############################################################# buy_params = { ############# # Enable/Disable conditions "base_nb_candles_bearish_buy": 68, "base_nb_candles_bullish_buy": 75, "ewo_high": 9.675, "ewo_low": -14.953, "low_offset_bearish": 0.97, "low_offset_bullish": 0.979, "pmaxmultiplier": 27, "rsi_buy_bearish": 65, "rsi_buy_bullish": 66, "buy_bearish_trigger": "zlema", # value loaded from strategy "buy_bullish_trigger": "hull", # value loaded from strategy "fast_ewo": 50, # value loaded from strategy "ma_type_index_1": 0, # value loaded from strategy "ma_type_index_2": 0, # value loaded from strategy "ma_type_index_3": 0, # value loaded from strategy "pmaxlength": 9, # value loaded from strategy "slow_ewo": 200, # value loaded from strategy "buy_condition_1_enable": True, "buy_condition_2_enable": True, "buy_condition_3_enable": True, "buy_condition_4_enable": True, "buy_condition_5_enable": True, "buy_condition_6_enable": True, "buy_condition_7_enable": True, "buy_condition_8_enable": True, "buy_condition_9_enable": True, "buy_condition_10_enable": True, "buy_condition_11_enable": True, "buy_condition_12_enable": True, "buy_condition_13_enable": True, "buy_condition_14_enable": True, "buy_condition_15_enable": True, "buy_condition_16_enable": True, "buy_condition_17_enable": True, "buy_condition_18_enable": True, "buy_condition_19_enable": True, "buy_condition_20_enable": True, "buy_condition_21_enable": True, "buy_condition_22_enable": True, "buy_condition_23_enable": True, "buy_condition_24_enable": True, "buy_condition_25_enable": True, "buy_condition_26_enable": True, "buy_condition_27_enable": True, "buy_condition_28_enable": True, "buy_condition_29_enable": True, "buy_condition_30_enable": True, "buy_condition_31_enable": True, "buy_condition_32_enable": True, "buy_condition_33_enable": True, "buy_condition_34_enable": True, "buy_condition_35_enable": True, "buy_condition_36_enable": True, "buy_condition_37_enable": True, "buy_condition_38_enable": True, ############# } sell_params = { ############# # Enable/Disable conditions "atr_multiplier": 2.83, "atr_rolling_length": 1, "base_nb_candles_bearish_sell": 21, "base_nb_candles_bullish_sell": 21, "high_offset_bearish": 1.012, "high_offset_bullish": 1.039, "ma_type_index_4": 0, # value loaded from strategy "ma_type_index_5": 0, # value loaded from strategy "ma_type_index_6": 0, # value loaded from strategy "sell_bearish_trigger": "zlema", # value loaded from strategy "sell_bullish_trigger": "hull", # value loaded from strategy "sell_condition_1_enable": True, "sell_condition_2_enable": True, "sell_condition_3_enable": True, "sell_condition_4_enable": True, "sell_condition_5_enable": True, "sell_condition_6_enable": True, "sell_condition_7_enable": True, "sell_condition_8_enable": True, ############# } ############################################################# buy_protection_params = { 1: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="26", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="28", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="80", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="70", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 2: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="20", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 3: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="80", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 4: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="20", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="110", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="48", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 5: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["50","100","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="130", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="30", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 6: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="20", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 7: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="12", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 8: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="12", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="120", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 9: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 10: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="24", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 11: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 12: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="24", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 13: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="24", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 14: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="70", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 15: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 16: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="50", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 17: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="120", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 18: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="44", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="72", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="60", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 19: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="36", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 20: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 21: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="90", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 22: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="110", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 23: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 24: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="200", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="36", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="20", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 25: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="20", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="20", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 26: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="48", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 27: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) }, 28: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="110", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True) }, 29: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="110", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 30: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="200", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="50", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="110", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="36", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 31: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="100", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="110", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="48", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 32: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="100", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="20", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="48", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 33: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="100", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) }, 34: { "enable" : CategoricalParameter([True, False], default=True, space='buy', optimize=False, load=True), "ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_fast_len" : CategoricalParameter(["26","50","100","200"], default="50", space='buy', optimize=False, load=True), "ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "ema_slow_len" : CategoricalParameter(["26","50","100","200"], default="100", space='buy', optimize=False, load=True), "close_above_ema_fast" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_fast_len" : CategoricalParameter(["12","20","26","50","100","200"], default="50", space='buy', optimize=False, load=True), "close_above_ema_slow" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "close_above_ema_slow_len" : CategoricalParameter(["15","50","200"], default="100", space='buy', optimize=False, load=True), "sma200_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="30", space='buy', optimize=False, load=True), "sma200_1h_rising" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "sma200_1h_rising_val" : CategoricalParameter(["20","30","36","44","50"], default="50", space='buy', optimize=False, load=True), "safe_dips" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_dips_type" : CategoricalParameter(["10","50","100"], default="100", space='buy', optimize=False, load=True), "safe_pump" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True), "safe_pump_type" : CategoricalParameter(["10","50","100"], default="10", space='buy', optimize=False, load=True), "safe_pump_period" : CategoricalParameter(["24","36","48"], default="24", space='buy', optimize=False, load=True), "btc_1h_not_downtrend" : CategoricalParameter([True, False], default=False, space='buy', optimize=False, load=True) } } buy_condition_1_enable = buy_protection_params[1]["enable"] buy_1_protection__ema_fast = buy_protection_params[1]["ema_fast"] buy_1_protection__ema_fast_len = buy_protection_params[1]["ema_fast_len"] buy_1_protection__ema_slow = buy_protection_params[1]["ema_slow"] buy_1_protection__ema_slow_len = buy_protection_params[1]["ema_slow_len"] buy_1_protection__close_above_ema_fast = buy_protection_params[1]["close_above_ema_fast"] buy_1_protection__close_above_ema_fast_len = buy_protection_params[1]["close_above_ema_fast_len"] buy_1_protection__close_above_ema_slow = buy_protection_params[1]["close_above_ema_slow"] buy_1_protection__close_above_ema_slow_len = buy_protection_params[1]["close_above_ema_slow_len"] buy_1_protection__sma200_rising = buy_protection_params[1]["sma200_rising"] buy_1_protection__sma200_rising_val = buy_protection_params[1]["sma200_rising_val"] buy_1_protection__sma200_1h_rising = buy_protection_params[1]["sma200_1h_rising"] buy_1_protection__sma200_1h_rising_val = buy_protection_params[1]["sma200_1h_rising_val"] buy_1_protection__safe_dips = buy_protection_params[1]["safe_dips"] buy_1_protection__safe_dips_type = buy_protection_params[1]["safe_dips_type"] buy_1_protection__safe_pump = buy_protection_params[1]["safe_pump"] buy_1_protection__safe_pump_type = buy_protection_params[1]["safe_pump_type"] buy_1_protection__safe_pump_period = buy_protection_params[1]["safe_pump_period"] buy_1_protection__btc_1h_not_downtrend = buy_protection_params[1]["btc_1h_not_downtrend"] buy_condition_2_enable = buy_protection_params[2]["enable"] buy_2_protection__ema_fast = buy_protection_params[2]["ema_fast"] buy_2_protection__ema_fast_len = buy_protection_params[2]["ema_fast_len"] buy_2_protection__ema_slow = buy_protection_params[2]["ema_slow"] buy_2_protection__ema_slow_len = buy_protection_params[2]["ema_slow_len"] buy_2_protection__close_above_ema_fast = buy_protection_params[2]["close_above_ema_fast"] buy_2_protection__close_above_ema_fast_len = buy_protection_params[2]["close_above_ema_fast_len"] buy_2_protection__close_above_ema_slow = buy_protection_params[2]["close_above_ema_slow"] buy_2_protection__close_above_ema_slow_len = buy_protection_params[2]["close_above_ema_slow_len"] buy_2_protection__sma200_rising = buy_protection_params[2]["sma200_rising"] buy_2_protection__sma200_rising_val = buy_protection_params[2]["sma200_rising_val"] buy_2_protection__sma200_1h_rising = buy_protection_params[2]["sma200_1h_rising"] buy_2_protection__sma200_1h_rising_val = buy_protection_params[2]["sma200_1h_rising_val"] buy_2_protection__safe_dips = buy_protection_params[2]["safe_dips"] buy_2_protection__safe_dips_type = buy_protection_params[2]["safe_dips_type"] buy_2_protection__safe_pump = buy_protection_params[2]["safe_pump"] buy_2_protection__safe_pump_type = buy_protection_params[2]["safe_pump_type"] buy_2_protection__safe_pump_period = buy_protection_params[2]["safe_pump_period"] buy_2_protection__btc_1h_not_downtrend = buy_protection_params[2]["btc_1h_not_downtrend"] buy_condition_3_enable = buy_protection_params[3]["enable"] buy_3_protection__ema_fast = buy_protection_params[3]["ema_fast"] buy_3_protection__ema_fast_len = buy_protection_params[3]["ema_fast_len"] buy_3_protection__ema_slow = buy_protection_params[3]["ema_slow"] buy_3_protection__ema_slow_len = buy_protection_params[3]["ema_slow_len"] buy_3_protection__close_above_ema_fast = buy_protection_params[3]["close_above_ema_fast"] buy_3_protection__close_above_ema_fast_len = buy_protection_params[3]["close_above_ema_fast_len"] buy_3_protection__close_above_ema_slow = buy_protection_params[3]["close_above_ema_slow"] buy_3_protection__close_above_ema_slow_len = buy_protection_params[3]["close_above_ema_slow_len"] buy_3_protection__sma200_rising = buy_protection_params[3]["sma200_rising"] buy_3_protection__sma200_rising_val = buy_protection_params[3]["sma200_rising_val"] buy_3_protection__sma200_1h_rising = buy_protection_params[3]["sma200_1h_rising"] buy_3_protection__sma200_1h_rising_val = buy_protection_params[3]["sma200_1h_rising_val"] buy_3_protection__safe_dips = buy_protection_params[3]["safe_dips"] buy_3_protection__safe_dips_type = buy_protection_params[3]["safe_dips_type"] buy_3_protection__safe_pump = buy_protection_params[3]["safe_pump"] buy_3_protection__safe_pump_type = buy_protection_params[3]["safe_pump_type"] buy_3_protection__safe_pump_period = buy_protection_params[3]["safe_pump_period"] buy_3_protection__btc_1h_not_downtrend = buy_protection_params[3]["btc_1h_not_downtrend"] buy_condition_4_enable = buy_protection_params[4]["enable"] buy_4_protection__ema_fast = buy_protection_params[4]["ema_fast"] buy_4_protection__ema_fast_len = buy_protection_params[4]["ema_fast_len"] buy_4_protection__ema_slow = buy_protection_params[4]["ema_slow"] buy_4_protection__ema_slow_len = buy_protection_params[4]["ema_slow_len"] buy_4_protection__close_above_ema_fast = buy_protection_params[4]["close_above_ema_fast"] buy_4_protection__close_above_ema_fast_len = buy_protection_params[4]["close_above_ema_fast_len"] buy_4_protection__close_above_ema_slow = buy_protection_params[4]["close_above_ema_slow"] buy_4_protection__close_above_ema_slow_len = buy_protection_params[4]["close_above_ema_slow_len"] buy_4_protection__sma200_rising = buy_protection_params[4]["sma200_rising"] buy_4_protection__sma200_rising_val = buy_protection_params[4]["sma200_rising_val"] buy_4_protection__sma200_1h_rising = buy_protection_params[4]["sma200_1h_rising"] buy_4_protection__sma200_1h_rising_val = buy_protection_params[4]["sma200_1h_rising_val"] buy_4_protection__safe_dips = buy_protection_params[4]["safe_dips"] buy_4_protection__safe_dips_type = buy_protection_params[4]["safe_dips_type"] buy_4_protection__safe_pump = buy_protection_params[4]["safe_pump"] buy_4_protection__safe_pump_type = buy_protection_params[4]["safe_pump_type"] buy_4_protection__safe_pump_period = buy_protection_params[4]["safe_pump_period"] buy_4_protection__btc_1h_not_downtrend = buy_protection_params[4]["btc_1h_not_downtrend"] buy_condition_5_enable = buy_protection_params[5]["enable"] buy_5_protection__ema_fast = buy_protection_params[5]["ema_fast"] buy_5_protection__ema_fast_len = buy_protection_params[5]["ema_fast_len"] buy_5_protection__ema_slow = buy_protection_params[5]["ema_slow"] buy_5_protection__ema_slow_len = buy_protection_params[5]["ema_slow_len"] buy_5_protection__close_above_ema_fast = buy_protection_params[5]["close_above_ema_fast"] buy_5_protection__close_above_ema_fast_len = buy_protection_params[5]["close_above_ema_fast_len"] buy_5_protection__close_above_ema_slow = buy_protection_params[5]["close_above_ema_slow"] buy_5_protection__close_above_ema_slow_len = buy_protection_params[5]["close_above_ema_slow_len"] buy_5_protection__sma200_rising = buy_protection_params[5]["sma200_rising"] buy_5_protection__sma200_rising_val = buy_protection_params[5]["sma200_rising_val"] buy_5_protection__sma200_1h_rising = buy_protection_params[5]["sma200_1h_rising"] buy_5_protection__sma200_1h_rising_val = buy_protection_params[5]["sma200_1h_rising_val"] buy_5_protection__safe_dips = buy_protection_params[5]["safe_dips"] buy_5_protection__safe_dips_type = buy_protection_params[5]["safe_dips_type"] buy_5_protection__safe_pump = buy_protection_params[5]["safe_pump"] buy_5_protection__safe_pump_type = buy_protection_params[5]["safe_pump_type"] buy_5_protection__safe_pump_period = buy_protection_params[5]["safe_pump_period"] buy_5_protection__btc_1h_not_downtrend = buy_protection_params[5]["btc_1h_not_downtrend"] buy_condition_6_enable = buy_protection_params[6]["enable"] buy_6_protection__ema_fast = buy_protection_params[6]["ema_fast"] buy_6_protection__ema_fast_len = buy_protection_params[6]["ema_fast_len"] buy_6_protection__ema_slow = buy_protection_params[6]["ema_slow"] buy_6_protection__ema_slow_len = buy_protection_params[6]["ema_slow_len"] buy_6_protection__close_above_ema_fast = buy_protection_params[6]["close_above_ema_fast"] buy_6_protection__close_above_ema_fast_len = buy_protection_params[6]["close_above_ema_fast_len"] buy_6_protection__close_above_ema_slow = buy_protection_params[6]["close_above_ema_slow"] buy_6_protection__close_above_ema_slow_len = buy_protection_params[6]["close_above_ema_slow_len"] buy_6_protection__sma200_rising = buy_protection_params[6]["sma200_rising"] buy_6_protection__sma200_rising_val = buy_protection_params[6]["sma200_rising_val"] buy_6_protection__sma200_1h_rising = buy_protection_params[6]["sma200_1h_rising"] buy_6_protection__sma200_1h_rising_val = buy_protection_params[6]["sma200_1h_rising_val"] buy_6_protection__safe_dips = buy_protection_params[6]["safe_dips"] buy_6_protection__safe_dips_type = buy_protection_params[6]["safe_dips_type"] buy_6_protection__safe_pump = buy_protection_params[6]["safe_pump"] buy_6_protection__safe_pump_type = buy_protection_params[6]["safe_pump_type"] buy_6_protection__safe_pump_period = buy_protection_params[6]["safe_pump_period"] buy_6_protection__btc_1h_not_downtrend = buy_protection_params[6]["btc_1h_not_downtrend"] buy_condition_7_enable = buy_protection_params[7]["enable"] buy_7_protection__ema_fast = buy_protection_params[7]["ema_fast"] buy_7_protection__ema_fast_len = buy_protection_params[7]["ema_fast_len"] buy_7_protection__ema_slow = buy_protection_params[7]["ema_slow"] buy_7_protection__ema_slow_len = buy_protection_params[7]["ema_slow_len"] buy_7_protection__close_above_ema_fast = buy_protection_params[7]["close_above_ema_fast"] buy_7_protection__close_above_ema_fast_len = buy_protection_params[7]["close_above_ema_fast_len"] buy_7_protection__close_above_ema_slow = buy_protection_params[7]["close_above_ema_slow"] buy_7_protection__close_above_ema_slow_len = buy_protection_params[7]["close_above_ema_slow_len"] buy_7_protection__sma200_rising = buy_protection_params[7]["sma200_rising"] buy_7_protection__sma200_rising_val = buy_protection_params[7]["sma200_rising_val"] buy_7_protection__sma200_1h_rising = buy_protection_params[7]["sma200_1h_rising"] buy_7_protection__sma200_1h_rising_val = buy_protection_params[7]["sma200_1h_rising_val"] buy_7_protection__safe_dips = buy_protection_params[7]["safe_dips"] buy_7_protection__safe_dips_type = buy_protection_params[7]["safe_dips_type"] buy_7_protection__safe_pump = buy_protection_params[7]["safe_pump"] buy_7_protection__safe_pump_type = buy_protection_params[7]["safe_pump_type"] buy_7_protection__safe_pump_period = buy_protection_params[7]["safe_pump_period"] buy_7_protection__btc_1h_not_downtrend = buy_protection_params[7]["btc_1h_not_downtrend"] buy_condition_8_enable = buy_protection_params[8]["enable"] buy_8_protection__ema_fast = buy_protection_params[8]["ema_fast"] buy_8_protection__ema_fast_len = buy_protection_params[8]["ema_fast_len"] buy_8_protection__ema_slow = buy_protection_params[8]["ema_slow"] buy_8_protection__ema_slow_len = buy_protection_params[8]["ema_slow_len"] buy_8_protection__close_above_ema_fast = buy_protection_params[8]["close_above_ema_fast"] buy_8_protection__close_above_ema_fast_len = buy_protection_params[8]["close_above_ema_fast_len"] buy_8_protection__close_above_ema_slow = buy_protection_params[8]["close_above_ema_slow"] buy_8_protection__close_above_ema_slow_len = buy_protection_params[8]["close_above_ema_slow_len"] buy_8_protection__sma200_rising = buy_protection_params[8]["sma200_rising"] buy_8_protection__sma200_rising_val = buy_protection_params[8]["sma200_rising_val"] buy_8_protection__sma200_1h_rising = buy_protection_params[8]["sma200_1h_rising"] buy_8_protection__sma200_1h_rising_val = buy_protection_params[8]["sma200_1h_rising_val"] buy_8_protection__safe_dips = buy_protection_params[8]["safe_dips"] buy_8_protection__safe_dips_type = buy_protection_params[8]["safe_dips_type"] buy_8_protection__safe_pump = buy_protection_params[8]["safe_pump"] buy_8_protection__safe_pump_type = buy_protection_params[8]["safe_pump_type"] buy_8_protection__safe_pump_period = buy_protection_params[8]["safe_pump_period"] buy_8_protection__btc_1h_not_downtrend = buy_protection_params[8]["btc_1h_not_downtrend"] buy_condition_9_enable = buy_protection_params[9]["enable"] buy_9_protection__ema_fast = buy_protection_params[9]["ema_fast"] buy_9_protection__ema_fast_len = buy_protection_params[9]["ema_fast_len"] buy_9_protection__ema_slow = buy_protection_params[9]["ema_slow"] buy_9_protection__ema_slow_len = buy_protection_params[9]["ema_slow_len"] buy_9_protection__close_above_ema_fast = buy_protection_params[9]["close_above_ema_fast"] buy_9_protection__close_above_ema_fast_len = buy_protection_params[9]["close_above_ema_fast_len"] buy_9_protection__close_above_ema_slow = buy_protection_params[9]["close_above_ema_slow"] buy_9_protection__close_above_ema_slow_len = buy_protection_params[9]["close_above_ema_slow_len"] buy_9_protection__sma200_rising = buy_protection_params[9]["sma200_rising"] buy_9_protection__sma200_rising_val = buy_protection_params[9]["sma200_rising_val"] buy_9_protection__sma200_1h_rising = buy_protection_params[9]["sma200_1h_rising"] buy_9_protection__sma200_1h_rising_val = buy_protection_params[9]["sma200_1h_rising_val"] buy_9_protection__safe_dips = buy_protection_params[9]["safe_dips"] buy_9_protection__safe_dips_type = buy_protection_params[9]["safe_dips_type"] buy_9_protection__safe_pump = buy_protection_params[9]["safe_pump"] buy_9_protection__safe_pump_type = buy_protection_params[9]["safe_pump_type"] buy_9_protection__safe_pump_period = buy_protection_params[9]["safe_pump_period"] buy_9_protection__btc_1h_not_downtrend = buy_protection_params[9]["btc_1h_not_downtrend"] buy_condition_10_enable = buy_protection_params[10]["enable"] buy_10_protection__ema_fast = buy_protection_params[10]["ema_fast"] buy_10_protection__ema_fast_len = buy_protection_params[10]["ema_fast_len"] buy_10_protection__ema_slow = buy_protection_params[10]["ema_slow"] buy_10_protection__ema_slow_len = buy_protection_params[10]["ema_slow_len"] buy_10_protection__close_above_ema_fast = buy_protection_params[10]["close_above_ema_fast"] buy_10_protection__close_above_ema_fast_len = buy_protection_params[10]["close_above_ema_fast_len"] buy_10_protection__close_above_ema_slow = buy_protection_params[10]["close_above_ema_slow"] buy_10_protection__close_above_ema_slow_len = buy_protection_params[10]["close_above_ema_slow_len"] buy_10_protection__sma200_rising = buy_protection_params[10]["sma200_rising"] buy_10_protection__sma200_rising_val = buy_protection_params[10]["sma200_rising_val"] buy_10_protection__sma200_1h_rising = buy_protection_params[10]["sma200_1h_rising"] buy_10_protection__sma200_1h_rising_val = buy_protection_params[10]["sma200_1h_rising_val"] buy_10_protection__safe_dips = buy_protection_params[10]["safe_dips"] buy_10_protection__safe_dips_type = buy_protection_params[10]["safe_dips_type"] buy_10_protection__safe_pump = buy_protection_params[10]["safe_pump"] buy_10_protection__safe_pump_type = buy_protection_params[10]["safe_pump_type"] buy_10_protection__safe_pump_period = buy_protection_params[10]["safe_pump_period"] buy_10_protection__btc_1h_not_downtrend = buy_protection_params[10]["btc_1h_not_downtrend"] buy_condition_11_enable = buy_protection_params[11]["enable"] buy_11_protection__ema_fast = buy_protection_params[11]["ema_fast"] buy_11_protection__ema_fast_len = buy_protection_params[11]["ema_fast_len"] buy_11_protection__ema_slow = buy_protection_params[11]["ema_slow"] buy_11_protection__ema_slow_len = buy_protection_params[11]["ema_slow_len"] buy_11_protection__close_above_ema_fast = buy_protection_params[11]["close_above_ema_fast"] buy_11_protection__close_above_ema_fast_len = buy_protection_params[11]["close_above_ema_fast_len"] buy_11_protection__close_above_ema_slow = buy_protection_params[11]["close_above_ema_slow"] buy_11_protection__close_above_ema_slow_len = buy_protection_params[11]["close_above_ema_slow_len"] buy_11_protection__sma200_rising = buy_protection_params[11]["sma200_rising"] buy_11_protection__sma200_rising_val = buy_protection_params[11]["sma200_rising_val"] buy_11_protection__sma200_1h_rising = buy_protection_params[11]["sma200_1h_rising"] buy_11_protection__sma200_1h_rising_val = buy_protection_params[11]["sma200_1h_rising_val"] buy_11_protection__safe_dips = buy_protection_params[11]["safe_dips"] buy_11_protection__safe_dips_type = buy_protection_params[11]["safe_dips_type"] buy_11_protection__safe_pump = buy_protection_params[11]["safe_pump"] buy_11_protection__safe_pump_type = buy_protection_params[11]["safe_pump_type"] buy_11_protection__safe_pump_period = buy_protection_params[11]["safe_pump_period"] buy_11_protection__btc_1h_not_downtrend = buy_protection_params[11]["btc_1h_not_downtrend"] buy_condition_12_enable = buy_protection_params[12]["enable"] buy_12_protection__ema_fast = buy_protection_params[12]["ema_fast"] buy_12_protection__ema_fast_len = buy_protection_params[12]["ema_fast_len"] buy_12_protection__ema_slow = buy_protection_params[12]["ema_slow"] buy_12_protection__ema_slow_len = buy_protection_params[12]["ema_slow_len"] buy_12_protection__close_above_ema_fast = buy_protection_params[12]["close_above_ema_fast"] buy_12_protection__close_above_ema_fast_len = buy_protection_params[12]["close_above_ema_fast_len"] buy_12_protection__close_above_ema_slow = buy_protection_params[12]["close_above_ema_slow"] buy_12_protection__close_above_ema_slow_len = buy_protection_params[12]["close_above_ema_slow_len"] buy_12_protection__sma200_rising = buy_protection_params[12]["sma200_rising"] buy_12_protection__sma200_rising_val = buy_protection_params[12]["sma200_rising_val"] buy_12_protection__sma200_1h_rising = buy_protection_params[12]["sma200_1h_rising"] buy_12_protection__sma200_1h_rising_val = buy_protection_params[12]["sma200_1h_rising_val"] buy_12_protection__safe_dips = buy_protection_params[12]["safe_dips"] buy_12_protection__safe_dips_type = buy_protection_params[12]["safe_dips_type"] buy_12_protection__safe_pump = buy_protection_params[12]["safe_pump"] buy_12_protection__safe_pump_type = buy_protection_params[12]["safe_pump_type"] buy_12_protection__safe_pump_period = buy_protection_params[12]["safe_pump_period"] buy_12_protection__btc_1h_not_downtrend = buy_protection_params[12]["btc_1h_not_downtrend"] buy_condition_13_enable = buy_protection_params[13]["enable"] buy_13_protection__ema_fast = buy_protection_params[13]["ema_fast"] buy_13_protection__ema_fast_len = buy_protection_params[13]["ema_fast_len"] buy_13_protection__ema_slow = buy_protection_params[13]["ema_slow"] buy_13_protection__ema_slow_len = buy_protection_params[13]["ema_slow_len"] buy_13_protection__close_above_ema_fast = buy_protection_params[13]["close_above_ema_fast"] buy_13_protection__close_above_ema_fast_len = buy_protection_params[13]["close_above_ema_fast_len"] buy_13_protection__close_above_ema_slow = buy_protection_params[13]["close_above_ema_slow"] buy_13_protection__close_above_ema_slow_len = buy_protection_params[13]["close_above_ema_slow_len"] buy_13_protection__sma200_rising = buy_protection_params[13]["sma200_rising"] buy_13_protection__sma200_rising_val = buy_protection_params[13]["sma200_rising_val"] buy_13_protection__sma200_1h_rising = buy_protection_params[13]["sma200_1h_rising"] buy_13_protection__sma200_1h_rising_val = buy_protection_params[13]["sma200_1h_rising_val"] buy_13_protection__safe_dips = buy_protection_params[13]["safe_dips"] buy_13_protection__safe_dips_type = buy_protection_params[13]["safe_dips_type"] buy_13_protection__safe_pump = buy_protection_params[13]["safe_pump"] buy_13_protection__safe_pump_type = buy_protection_params[13]["safe_pump_type"] buy_13_protection__safe_pump_period = buy_protection_params[13]["safe_pump_period"] buy_13_protection__btc_1h_not_downtrend = buy_protection_params[13]["btc_1h_not_downtrend"] buy_condition_14_enable = buy_protection_params[14]["enable"] buy_14_protection__ema_fast = buy_protection_params[14]["ema_fast"] buy_14_protection__ema_fast_len = buy_protection_params[14]["ema_fast_len"] buy_14_protection__ema_slow = buy_protection_params[14]["ema_slow"] buy_14_protection__ema_slow_len = buy_protection_params[14]["ema_slow_len"] buy_14_protection__close_above_ema_fast = buy_protection_params[14]["close_above_ema_fast"] buy_14_protection__close_above_ema_fast_len = buy_protection_params[14]["close_above_ema_fast_len"] buy_14_protection__close_above_ema_slow = buy_protection_params[14]["close_above_ema_slow"] buy_14_protection__close_above_ema_slow_len = buy_protection_params[14]["close_above_ema_slow_len"] buy_14_protection__sma200_rising = buy_protection_params[14]["sma200_rising"] buy_14_protection__sma200_rising_val = buy_protection_params[14]["sma200_rising_val"] buy_14_protection__sma200_1h_rising = buy_protection_params[14]["sma200_1h_rising"] buy_14_protection__sma200_1h_rising_val = buy_protection_params[14]["sma200_1h_rising_val"] buy_14_protection__safe_dips = buy_protection_params[14]["safe_dips"] buy_14_protection__safe_dips_type = buy_protection_params[14]["safe_dips_type"] buy_14_protection__safe_pump = buy_protection_params[14]["safe_pump"] buy_14_protection__safe_pump_type = buy_protection_params[14]["safe_pump_type"] buy_14_protection__safe_pump_period = buy_protection_params[14]["safe_pump_period"] buy_14_protection__btc_1h_not_downtrend = buy_protection_params[14]["btc_1h_not_downtrend"] buy_condition_15_enable = buy_protection_params[15]["enable"] buy_15_protection__ema_fast = buy_protection_params[15]["ema_fast"] buy_15_protection__ema_fast_len = buy_protection_params[15]["ema_fast_len"] buy_15_protection__ema_slow = buy_protection_params[15]["ema_slow"] buy_15_protection__ema_slow_len = buy_protection_params[15]["ema_slow_len"] buy_15_protection__close_above_ema_fast = buy_protection_params[15]["close_above_ema_fast"] buy_15_protection__close_above_ema_fast_len = buy_protection_params[15]["close_above_ema_fast_len"] buy_15_protection__close_above_ema_slow = buy_protection_params[15]["close_above_ema_slow"] buy_15_protection__close_above_ema_slow_len = buy_protection_params[15]["close_above_ema_slow_len"] buy_15_protection__sma200_rising = buy_protection_params[15]["sma200_rising"] buy_15_protection__sma200_rising_val = buy_protection_params[15]["sma200_rising_val"] buy_15_protection__sma200_1h_rising = buy_protection_params[15]["sma200_1h_rising"] buy_15_protection__sma200_1h_rising_val = buy_protection_params[15]["sma200_1h_rising_val"] buy_15_protection__safe_dips = buy_protection_params[15]["safe_dips"] buy_15_protection__safe_dips_type = buy_protection_params[15]["safe_dips_type"] buy_15_protection__safe_pump = buy_protection_params[15]["safe_pump"] buy_15_protection__safe_pump_type = buy_protection_params[15]["safe_pump_type"] buy_15_protection__safe_pump_period = buy_protection_params[15]["safe_pump_period"] buy_15_protection__btc_1h_not_downtrend = buy_protection_params[15]["btc_1h_not_downtrend"] buy_condition_16_enable = buy_protection_params[16]["enable"] buy_16_protection__ema_fast = buy_protection_params[16]["ema_fast"] buy_16_protection__ema_fast_len = buy_protection_params[16]["ema_fast_len"] buy_16_protection__ema_slow = buy_protection_params[16]["ema_slow"] buy_16_protection__ema_slow_len = buy_protection_params[16]["ema_slow_len"] buy_16_protection__close_above_ema_fast = buy_protection_params[16]["close_above_ema_fast"] buy_16_protection__close_above_ema_fast_len = buy_protection_params[16]["close_above_ema_fast_len"] buy_16_protection__close_above_ema_slow = buy_protection_params[16]["close_above_ema_slow"] buy_16_protection__close_above_ema_slow_len = buy_protection_params[16]["close_above_ema_slow_len"] buy_16_protection__sma200_rising = buy_protection_params[16]["sma200_rising"] buy_16_protection__sma200_rising_val = buy_protection_params[16]["sma200_rising_val"] buy_16_protection__sma200_1h_rising = buy_protection_params[16]["sma200_1h_rising"] buy_16_protection__sma200_1h_rising_val = buy_protection_params[16]["sma200_1h_rising_val"] buy_16_protection__safe_dips = buy_protection_params[16]["safe_dips"] buy_16_protection__safe_dips_type = buy_protection_params[16]["safe_dips_type"] buy_16_protection__safe_pump = buy_protection_params[16]["safe_pump"] buy_16_protection__safe_pump_type = buy_protection_params[16]["safe_pump_type"] buy_16_protection__safe_pump_period = buy_protection_params[16]["safe_pump_period"] buy_16_protection__btc_1h_not_downtrend = buy_protection_params[16]["btc_1h_not_downtrend"] buy_condition_17_enable = buy_protection_params[17]["enable"] buy_17_protection__ema_fast = buy_protection_params[17]["ema_fast"] buy_17_protection__ema_fast_len = buy_protection_params[17]["ema_fast_len"] buy_17_protection__ema_slow = buy_protection_params[17]["ema_slow"] buy_17_protection__ema_slow_len = buy_protection_params[17]["ema_slow_len"] buy_17_protection__close_above_ema_fast = buy_protection_params[17]["close_above_ema_fast"] buy_17_protection__close_above_ema_fast_len = buy_protection_params[17]["close_above_ema_fast_len"] buy_17_protection__close_above_ema_slow = buy_protection_params[17]["close_above_ema_slow"] buy_17_protection__close_above_ema_slow_len = buy_protection_params[17]["close_above_ema_slow_len"] buy_17_protection__sma200_rising = buy_protection_params[17]["sma200_rising"] buy_17_protection__sma200_rising_val = buy_protection_params[17]["sma200_rising_val"] buy_17_protection__sma200_1h_rising = buy_protection_params[17]["sma200_1h_rising"] buy_17_protection__sma200_1h_rising_val = buy_protection_params[17]["sma200_1h_rising_val"] buy_17_protection__safe_dips = buy_protection_params[17]["safe_dips"] buy_17_protection__safe_dips_type = buy_protection_params[17]["safe_dips_type"] buy_17_protection__safe_pump = buy_protection_params[17]["safe_pump"] buy_17_protection__safe_pump_type = buy_protection_params[17]["safe_pump_type"] buy_17_protection__safe_pump_period = buy_protection_params[17]["safe_pump_period"] buy_17_protection__btc_1h_not_downtrend = buy_protection_params[17]["btc_1h_not_downtrend"] buy_condition_18_enable = buy_protection_params[18]["enable"] buy_18_protection__ema_fast = buy_protection_params[18]["ema_fast"] buy_18_protection__ema_fast_len = buy_protection_params[18]["ema_fast_len"] buy_18_protection__ema_slow = buy_protection_params[18]["ema_slow"] buy_18_protection__ema_slow_len = buy_protection_params[18]["ema_slow_len"] buy_18_protection__close_above_ema_fast = buy_protection_params[18]["close_above_ema_fast"] buy_18_protection__close_above_ema_fast_len = buy_protection_params[18]["close_above_ema_fast_len"] buy_18_protection__close_above_ema_slow = buy_protection_params[18]["close_above_ema_slow"] buy_18_protection__close_above_ema_slow_len = buy_protection_params[18]["close_above_ema_slow_len"] buy_18_protection__sma200_rising = buy_protection_params[18]["sma200_rising"] buy_18_protection__sma200_rising_val = buy_protection_params[18]["sma200_rising_val"] buy_18_protection__sma200_1h_rising = buy_protection_params[18]["sma200_1h_rising"] buy_18_protection__sma200_1h_rising_val = buy_protection_params[18]["sma200_1h_rising_val"] buy_18_protection__safe_dips = buy_protection_params[18]["safe_dips"] buy_18_protection__safe_dips_type = buy_protection_params[18]["safe_dips_type"] buy_18_protection__safe_pump = buy_protection_params[18]["safe_pump"] buy_18_protection__safe_pump_type = buy_protection_params[18]["safe_pump_type"] buy_18_protection__safe_pump_period = buy_protection_params[18]["safe_pump_period"] buy_18_protection__btc_1h_not_downtrend = buy_protection_params[18]["btc_1h_not_downtrend"] buy_condition_19_enable = buy_protection_params[19]["enable"] buy_19_protection__ema_fast = buy_protection_params[19]["ema_fast"] buy_19_protection__ema_fast_len = buy_protection_params[19]["ema_fast_len"] buy_19_protection__ema_slow = buy_protection_params[19]["ema_slow"] buy_19_protection__ema_slow_len = buy_protection_params[19]["ema_slow_len"] buy_19_protection__close_above_ema_fast = buy_protection_params[19]["close_above_ema_fast"] buy_19_protection__close_above_ema_fast_len = buy_protection_params[19]["close_above_ema_fast_len"] buy_19_protection__close_above_ema_slow = buy_protection_params[19]["close_above_ema_slow"] buy_19_protection__close_above_ema_slow_len = buy_protection_params[19]["close_above_ema_slow_len"] buy_19_protection__sma200_rising = buy_protection_params[19]["sma200_rising"] buy_19_protection__sma200_rising_val = buy_protection_params[19]["sma200_rising_val"] buy_19_protection__sma200_1h_rising = buy_protection_params[19]["sma200_1h_rising"] buy_19_protection__sma200_1h_rising_val = buy_protection_params[19]["sma200_1h_rising_val"] buy_19_protection__safe_dips = buy_protection_params[19]["safe_dips"] buy_19_protection__safe_dips_type = buy_protection_params[19]["safe_dips_type"] buy_19_protection__safe_pump = buy_protection_params[19]["safe_pump"] buy_19_protection__safe_pump_type = buy_protection_params[19]["safe_pump_type"] buy_19_protection__safe_pump_period = buy_protection_params[19]["safe_pump_period"] buy_19_protection__btc_1h_not_downtrend = buy_protection_params[19]["btc_1h_not_downtrend"] buy_condition_20_enable = buy_protection_params[20]["enable"] buy_20_protection__ema_fast = buy_protection_params[20]["ema_fast"] buy_20_protection__ema_fast_len = buy_protection_params[20]["ema_fast_len"] buy_20_protection__ema_slow = buy_protection_params[20]["ema_slow"] buy_20_protection__ema_slow_len = buy_protection_params[20]["ema_slow_len"] buy_20_protection__close_above_ema_fast = buy_protection_params[20]["close_above_ema_fast"] buy_20_protection__close_above_ema_fast_len = buy_protection_params[20]["close_above_ema_fast_len"] buy_20_protection__close_above_ema_slow = buy_protection_params[20]["close_above_ema_slow"] buy_20_protection__close_above_ema_slow_len = buy_protection_params[20]["close_above_ema_slow_len"] buy_20_protection__sma200_rising = buy_protection_params[20]["sma200_rising"] buy_20_protection__sma200_rising_val = buy_protection_params[20]["sma200_rising_val"] buy_20_protection__sma200_1h_rising = buy_protection_params[20]["sma200_1h_rising"] buy_20_protection__sma200_1h_rising_val = buy_protection_params[20]["sma200_1h_rising_val"] buy_20_protection__safe_dips = buy_protection_params[20]["safe_dips"] buy_20_protection__safe_dips_type = buy_protection_params[20]["safe_dips_type"] buy_20_protection__safe_pump = buy_protection_params[20]["safe_pump"] buy_20_protection__safe_pump_type = buy_protection_params[20]["safe_pump_type"] buy_20_protection__safe_pump_period = buy_protection_params[20]["safe_pump_period"] buy_20_protection__btc_1h_not_downtrend = buy_protection_params[20]["btc_1h_not_downtrend"] buy_condition_21_enable = buy_protection_params[21]["enable"] buy_21_protection__ema_fast = buy_protection_params[21]["ema_fast"] buy_21_protection__ema_fast_len = buy_protection_params[21]["ema_fast_len"] buy_21_protection__ema_slow = buy_protection_params[21]["ema_slow"] buy_21_protection__ema_slow_len = buy_protection_params[21]["ema_slow_len"] buy_21_protection__close_above_ema_fast = buy_protection_params[21]["close_above_ema_fast"] buy_21_protection__close_above_ema_fast_len = buy_protection_params[21]["close_above_ema_fast_len"] buy_21_protection__close_above_ema_slow = buy_protection_params[21]["close_above_ema_slow"] buy_21_protection__close_above_ema_slow_len = buy_protection_params[21]["close_above_ema_slow_len"] buy_21_protection__sma200_rising = buy_protection_params[21]["sma200_rising"] buy_21_protection__sma200_rising_val = buy_protection_params[21]["sma200_rising_val"] buy_21_protection__sma200_1h_rising = buy_protection_params[21]["sma200_1h_rising"] buy_21_protection__sma200_1h_rising_val = buy_protection_params[21]["sma200_1h_rising_val"] buy_21_protection__safe_dips = buy_protection_params[21]["safe_dips"] buy_21_protection__safe_dips_type = buy_protection_params[21]["safe_dips_type"] buy_21_protection__safe_pump = buy_protection_params[21]["safe_pump"] buy_21_protection__safe_pump_type = buy_protection_params[21]["safe_pump_type"] buy_21_protection__safe_pump_period = buy_protection_params[21]["safe_pump_period"] buy_21_protection__btc_1h_not_downtrend = buy_protection_params[21]["btc_1h_not_downtrend"] buy_condition_22_enable = buy_protection_params[22]["enable"] buy_22_protection__ema_fast = buy_protection_params[22]["ema_fast"] buy_22_protection__ema_fast_len = buy_protection_params[22]["ema_fast_len"] buy_22_protection__ema_slow = buy_protection_params[22]["ema_slow"] buy_22_protection__ema_slow_len = buy_protection_params[22]["ema_slow_len"] buy_22_protection__close_above_ema_fast = buy_protection_params[22]["close_above_ema_fast"] buy_22_protection__close_above_ema_fast_len = buy_protection_params[22]["close_above_ema_fast_len"] buy_22_protection__close_above_ema_slow = buy_protection_params[22]["close_above_ema_slow"] buy_22_protection__close_above_ema_slow_len = buy_protection_params[22]["close_above_ema_slow_len"] buy_22_protection__sma200_rising = buy_protection_params[22]["sma200_rising"] buy_22_protection__sma200_rising_val = buy_protection_params[22]["sma200_rising_val"] buy_22_protection__sma200_1h_rising = buy_protection_params[22]["sma200_1h_rising"] buy_22_protection__sma200_1h_rising_val = buy_protection_params[22]["sma200_1h_rising_val"] buy_22_protection__safe_dips = buy_protection_params[22]["safe_dips"] buy_22_protection__safe_dips_type = buy_protection_params[22]["safe_dips_type"] buy_22_protection__safe_pump = buy_protection_params[22]["safe_pump"] buy_22_protection__safe_pump_type = buy_protection_params[22]["safe_pump_type"] buy_22_protection__safe_pump_period = buy_protection_params[22]["safe_pump_period"] buy_22_protection__btc_1h_not_downtrend = buy_protection_params[22]["btc_1h_not_downtrend"] buy_condition_23_enable = buy_protection_params[23]["enable"] buy_23_protection__ema_fast = buy_protection_params[23]["ema_fast"] buy_23_protection__ema_fast_len = buy_protection_params[23]["ema_fast_len"] buy_23_protection__ema_slow = buy_protection_params[23]["ema_slow"] buy_23_protection__ema_slow_len = buy_protection_params[23]["ema_slow_len"] buy_23_protection__close_above_ema_fast = buy_protection_params[23]["close_above_ema_fast"] buy_23_protection__close_above_ema_fast_len = buy_protection_params[23]["close_above_ema_fast_len"] buy_23_protection__close_above_ema_slow = buy_protection_params[23]["close_above_ema_slow"] buy_23_protection__close_above_ema_slow_len = buy_protection_params[23]["close_above_ema_slow_len"] buy_23_protection__sma200_rising = buy_protection_params[23]["sma200_rising"] buy_23_protection__sma200_rising_val = buy_protection_params[23]["sma200_rising_val"] buy_23_protection__sma200_1h_rising = buy_protection_params[23]["sma200_1h_rising"] buy_23_protection__sma200_1h_rising_val = buy_protection_params[23]["sma200_1h_rising_val"] buy_23_protection__safe_dips = buy_protection_params[23]["safe_dips"] buy_23_protection__safe_dips_type = buy_protection_params[23]["safe_dips_type"] buy_23_protection__safe_pump = buy_protection_params[23]["safe_pump"] buy_23_protection__safe_pump_type = buy_protection_params[23]["safe_pump_type"] buy_23_protection__safe_pump_period = buy_protection_params[23]["safe_pump_period"] buy_23_protection__btc_1h_not_downtrend = buy_protection_params[23]["btc_1h_not_downtrend"] buy_condition_24_enable = buy_protection_params[24]["enable"] buy_24_protection__ema_fast = buy_protection_params[24]["ema_fast"] buy_24_protection__ema_fast_len = buy_protection_params[24]["ema_fast_len"] buy_24_protection__ema_slow = buy_protection_params[24]["ema_slow"] buy_24_protection__ema_slow_len = buy_protection_params[24]["ema_slow_len"] buy_24_protection__close_above_ema_fast = buy_protection_params[24]["close_above_ema_fast"] buy_24_protection__close_above_ema_fast_len = buy_protection_params[24]["close_above_ema_fast_len"] buy_24_protection__close_above_ema_slow = buy_protection_params[24]["close_above_ema_slow"] buy_24_protection__close_above_ema_slow_len = buy_protection_params[24]["close_above_ema_slow_len"] buy_24_protection__sma200_rising = buy_protection_params[24]["sma200_rising"] buy_24_protection__sma200_rising_val = buy_protection_params[24]["sma200_rising_val"] buy_24_protection__sma200_1h_rising = buy_protection_params[24]["sma200_1h_rising"] buy_24_protection__sma200_1h_rising_val = buy_protection_params[24]["sma200_1h_rising_val"] buy_24_protection__safe_dips = buy_protection_params[24]["safe_dips"] buy_24_protection__safe_dips_type = buy_protection_params[24]["safe_dips_type"] buy_24_protection__safe_pump = buy_protection_params[24]["safe_pump"] buy_24_protection__safe_pump_type = buy_protection_params[24]["safe_pump_type"] buy_24_protection__safe_pump_period = buy_protection_params[24]["safe_pump_period"] buy_24_protection__btc_1h_not_downtrend = buy_protection_params[24]["btc_1h_not_downtrend"] buy_condition_25_enable = buy_protection_params[25]["enable"] buy_25_protection__ema_fast = buy_protection_params[25]["ema_fast"] buy_25_protection__ema_fast_len = buy_protection_params[25]["ema_fast_len"] buy_25_protection__ema_slow = buy_protection_params[25]["ema_slow"] buy_25_protection__ema_slow_len = buy_protection_params[25]["ema_slow_len"] buy_25_protection__close_above_ema_fast = buy_protection_params[25]["close_above_ema_fast"] buy_25_protection__close_above_ema_fast_len = buy_protection_params[25]["close_above_ema_fast_len"] buy_25_protection__close_above_ema_slow = buy_protection_params[25]["close_above_ema_slow"] buy_25_protection__close_above_ema_slow_len = buy_protection_params[25]["close_above_ema_slow_len"] buy_25_protection__sma200_rising = buy_protection_params[25]["sma200_rising"] buy_25_protection__sma200_rising_val = buy_protection_params[25]["sma200_rising_val"] buy_25_protection__sma200_1h_rising = buy_protection_params[25]["sma200_1h_rising"] buy_25_protection__sma200_1h_rising_val = buy_protection_params[25]["sma200_1h_rising_val"] buy_25_protection__safe_dips = buy_protection_params[25]["safe_dips"] buy_25_protection__safe_dips_type = buy_protection_params[25]["safe_dips_type"] buy_25_protection__safe_pump = buy_protection_params[25]["safe_pump"] buy_25_protection__safe_pump_type = buy_protection_params[25]["safe_pump_type"] buy_25_protection__safe_pump_period = buy_protection_params[25]["safe_pump_period"] buy_25_protection__btc_1h_not_downtrend = buy_protection_params[25]["btc_1h_not_downtrend"] buy_condition_26_enable = buy_protection_params[26]["enable"] buy_26_protection__ema_fast = buy_protection_params[26]["ema_fast"] buy_26_protection__ema_fast_len = buy_protection_params[26]["ema_fast_len"] buy_26_protection__ema_slow = buy_protection_params[26]["ema_slow"] buy_26_protection__ema_slow_len = buy_protection_params[26]["ema_slow_len"] buy_26_protection__close_above_ema_fast = buy_protection_params[26]["close_above_ema_fast"] buy_26_protection__close_above_ema_fast_len = buy_protection_params[26]["close_above_ema_fast_len"] buy_26_protection__close_above_ema_slow = buy_protection_params[26]["close_above_ema_slow"] buy_26_protection__close_above_ema_slow_len = buy_protection_params[26]["close_above_ema_slow_len"] buy_26_protection__sma200_rising = buy_protection_params[26]["sma200_rising"] buy_26_protection__sma200_rising_val = buy_protection_params[26]["sma200_rising_val"] buy_26_protection__sma200_1h_rising = buy_protection_params[26]["sma200_1h_rising"] buy_26_protection__sma200_1h_rising_val = buy_protection_params[26]["sma200_1h_rising_val"] buy_26_protection__safe_dips = buy_protection_params[26]["safe_dips"] buy_26_protection__safe_dips_type = buy_protection_params[26]["safe_dips_type"] buy_26_protection__safe_pump = buy_protection_params[26]["safe_pump"] buy_26_protection__safe_pump_type = buy_protection_params[26]["safe_pump_type"] buy_26_protection__safe_pump_period = buy_protection_params[26]["safe_pump_period"] buy_26_protection__btc_1h_not_downtrend = buy_protection_params[26]["btc_1h_not_downtrend"] buy_condition_27_enable = buy_protection_params[27]["enable"] buy_27_protection__ema_fast = buy_protection_params[27]["ema_fast"] buy_27_protection__ema_fast_len = buy_protection_params[27]["ema_fast_len"] buy_27_protection__ema_slow = buy_protection_params[27]["ema_slow"] buy_27_protection__ema_slow_len = buy_protection_params[27]["ema_slow_len"] buy_27_protection__close_above_ema_fast = buy_protection_params[27]["close_above_ema_fast"] buy_27_protection__close_above_ema_fast_len = buy_protection_params[27]["close_above_ema_fast_len"] buy_27_protection__close_above_ema_slow = buy_protection_params[27]["close_above_ema_slow"] buy_27_protection__close_above_ema_slow_len = buy_protection_params[27]["close_above_ema_slow_len"] buy_27_protection__sma200_rising = buy_protection_params[27]["sma200_rising"] buy_27_protection__sma200_rising_val = buy_protection_params[27]["sma200_rising_val"] buy_27_protection__sma200_1h_rising = buy_protection_params[27]["sma200_1h_rising"] buy_27_protection__sma200_1h_rising_val = buy_protection_params[27]["sma200_1h_rising_val"] buy_27_protection__safe_dips = buy_protection_params[27]["safe_dips"] buy_27_protection__safe_dips_type = buy_protection_params[27]["safe_dips_type"] buy_27_protection__safe_pump = buy_protection_params[27]["safe_pump"] buy_27_protection__safe_pump_type = buy_protection_params[27]["safe_pump_type"] buy_27_protection__safe_pump_period = buy_protection_params[27]["safe_pump_period"] buy_27_protection__btc_1h_not_downtrend = buy_protection_params[27]["btc_1h_not_downtrend"] buy_condition_28_enable = buy_protection_params[28]["enable"] buy_28_protection__ema_fast = buy_protection_params[28]["ema_fast"] buy_28_protection__ema_fast_len = buy_protection_params[28]["ema_fast_len"] buy_28_protection__ema_slow = buy_protection_params[28]["ema_slow"] buy_28_protection__ema_slow_len = buy_protection_params[28]["ema_slow_len"] buy_28_protection__close_above_ema_fast = buy_protection_params[28]["close_above_ema_fast"] buy_28_protection__close_above_ema_fast_len = buy_protection_params[28]["close_above_ema_fast_len"] buy_28_protection__close_above_ema_slow = buy_protection_params[28]["close_above_ema_slow"] buy_28_protection__close_above_ema_slow_len = buy_protection_params[28]["close_above_ema_slow_len"] buy_28_protection__sma200_rising = buy_protection_params[28]["sma200_rising"] buy_28_protection__sma200_rising_val = buy_protection_params[28]["sma200_rising_val"] buy_28_protection__sma200_1h_rising = buy_protection_params[28]["sma200_1h_rising"] buy_28_protection__sma200_1h_rising_val = buy_protection_params[28]["sma200_1h_rising_val"] buy_28_protection__safe_dips = buy_protection_params[28]["safe_dips"] buy_28_protection__safe_dips_type = buy_protection_params[28]["safe_dips_type"] buy_28_protection__safe_pump = buy_protection_params[28]["safe_pump"] buy_28_protection__safe_pump_type = buy_protection_params[28]["safe_pump_type"] buy_28_protection__safe_pump_period = buy_protection_params[28]["safe_pump_period"] buy_28_protection__btc_1h_not_downtrend = buy_protection_params[28]["btc_1h_not_downtrend"] buy_condition_29_enable = buy_protection_params[29]["enable"] buy_29_protection__ema_fast = buy_protection_params[29]["ema_fast"] buy_29_protection__ema_fast_len = buy_protection_params[29]["ema_fast_len"] buy_29_protection__ema_slow = buy_protection_params[29]["ema_slow"] buy_29_protection__ema_slow_len = buy_protection_params[29]["ema_slow_len"] buy_29_protection__close_above_ema_fast = buy_protection_params[29]["close_above_ema_fast"] buy_29_protection__close_above_ema_fast_len = buy_protection_params[29]["close_above_ema_fast_len"] buy_29_protection__close_above_ema_slow = buy_protection_params[29]["close_above_ema_slow"] buy_29_protection__close_above_ema_slow_len = buy_protection_params[29]["close_above_ema_slow_len"] buy_29_protection__sma200_rising = buy_protection_params[29]["sma200_rising"] buy_29_protection__sma200_rising_val = buy_protection_params[29]["sma200_rising_val"] buy_29_protection__sma200_1h_rising = buy_protection_params[29]["sma200_1h_rising"] buy_29_protection__sma200_1h_rising_val = buy_protection_params[29]["sma200_1h_rising_val"] buy_29_protection__safe_dips = buy_protection_params[29]["safe_dips"] buy_29_protection__safe_dips_type = buy_protection_params[29]["safe_dips_type"] buy_29_protection__safe_pump = buy_protection_params[29]["safe_pump"] buy_29_protection__safe_pump_type = buy_protection_params[29]["safe_pump_type"] buy_29_protection__safe_pump_period = buy_protection_params[29]["safe_pump_period"] buy_29_protection__btc_1h_not_downtrend = buy_protection_params[29]["btc_1h_not_downtrend"] buy_condition_30_enable = buy_protection_params[30]["enable"] buy_30_protection__ema_fast = buy_protection_params[30]["ema_fast"] buy_30_protection__ema_fast_len = buy_protection_params[30]["ema_fast_len"] buy_30_protection__ema_slow = buy_protection_params[30]["ema_slow"] buy_30_protection__ema_slow_len = buy_protection_params[30]["ema_slow_len"] buy_30_protection__close_above_ema_fast = buy_protection_params[30]["close_above_ema_fast"] buy_30_protection__close_above_ema_fast_len = buy_protection_params[30]["close_above_ema_fast_len"] buy_30_protection__close_above_ema_slow = buy_protection_params[30]["close_above_ema_slow"] buy_30_protection__close_above_ema_slow_len = buy_protection_params[30]["close_above_ema_slow_len"] buy_30_protection__sma200_rising = buy_protection_params[30]["sma200_rising"] buy_30_protection__sma200_rising_val = buy_protection_params[30]["sma200_rising_val"] buy_30_protection__sma200_1h_rising = buy_protection_params[30]["sma200_1h_rising"] buy_30_protection__sma200_1h_rising_val = buy_protection_params[30]["sma200_1h_rising_val"] buy_30_protection__safe_dips = buy_protection_params[30]["safe_dips"] buy_30_protection__safe_dips_type = buy_protection_params[30]["safe_dips_type"] buy_30_protection__safe_pump = buy_protection_params[30]["safe_pump"] buy_30_protection__safe_pump_type = buy_protection_params[30]["safe_pump_type"] buy_30_protection__safe_pump_period = buy_protection_params[30]["safe_pump_period"] buy_30_protection__btc_1h_not_downtrend = buy_protection_params[30]["btc_1h_not_downtrend"] buy_condition_31_enable = buy_protection_params[31]["enable"] buy_31_protection__ema_fast = buy_protection_params[31]["ema_fast"] buy_31_protection__ema_fast_len = buy_protection_params[31]["ema_fast_len"] buy_31_protection__ema_slow = buy_protection_params[31]["ema_slow"] buy_31_protection__ema_slow_len = buy_protection_params[31]["ema_slow_len"] buy_31_protection__close_above_ema_fast = buy_protection_params[31]["close_above_ema_fast"] buy_31_protection__close_above_ema_fast_len = buy_protection_params[31]["close_above_ema_fast_len"] buy_31_protection__close_above_ema_slow = buy_protection_params[31]["close_above_ema_slow"] buy_31_protection__close_above_ema_slow_len = buy_protection_params[31]["close_above_ema_slow_len"] buy_31_protection__sma200_rising = buy_protection_params[31]["sma200_rising"] buy_31_protection__sma200_rising_val = buy_protection_params[31]["sma200_rising_val"] buy_31_protection__sma200_1h_rising = buy_protection_params[31]["sma200_1h_rising"] buy_31_protection__sma200_1h_rising_val = buy_protection_params[31]["sma200_1h_rising_val"] buy_31_protection__safe_dips = buy_protection_params[31]["safe_dips"] buy_31_protection__safe_dips_type = buy_protection_params[31]["safe_dips_type"] buy_31_protection__safe_pump = buy_protection_params[31]["safe_pump"] buy_31_protection__safe_pump_type = buy_protection_params[31]["safe_pump_type"] buy_31_protection__safe_pump_period = buy_protection_params[31]["safe_pump_period"] buy_31_protection__btc_1h_not_downtrend = buy_protection_params[31]["btc_1h_not_downtrend"] buy_condition_32_enable = buy_protection_params[32]["enable"] buy_32_protection__ema_fast = buy_protection_params[32]["ema_fast"] buy_32_protection__ema_fast_len = buy_protection_params[32]["ema_fast_len"] buy_32_protection__ema_slow = buy_protection_params[32]["ema_slow"] buy_32_protection__ema_slow_len = buy_protection_params[32]["ema_slow_len"] buy_32_protection__close_above_ema_fast = buy_protection_params[32]["close_above_ema_fast"] buy_32_protection__close_above_ema_fast_len = buy_protection_params[32]["close_above_ema_fast_len"] buy_32_protection__close_above_ema_slow = buy_protection_params[32]["close_above_ema_slow"] buy_32_protection__close_above_ema_slow_len = buy_protection_params[32]["close_above_ema_slow_len"] buy_32_protection__sma200_rising = buy_protection_params[32]["sma200_rising"] buy_32_protection__sma200_rising_val = buy_protection_params[32]["sma200_rising_val"] buy_32_protection__sma200_1h_rising = buy_protection_params[32]["sma200_1h_rising"] buy_32_protection__sma200_1h_rising_val = buy_protection_params[32]["sma200_1h_rising_val"] buy_32_protection__safe_dips = buy_protection_params[32]["safe_dips"] buy_32_protection__safe_dips_type = buy_protection_params[32]["safe_dips_type"] buy_32_protection__safe_pump = buy_protection_params[32]["safe_pump"] buy_32_protection__safe_pump_type = buy_protection_params[32]["safe_pump_type"] buy_32_protection__safe_pump_period = buy_protection_params[32]["safe_pump_period"] buy_32_protection__btc_1h_not_downtrend = buy_protection_params[32]["btc_1h_not_downtrend"] buy_condition_33_enable = buy_protection_params[33]["enable"] buy_33_protection__ema_fast = buy_protection_params[33]["ema_fast"] buy_33_protection__ema_fast_len = buy_protection_params[33]["ema_fast_len"] buy_33_protection__ema_slow = buy_protection_params[33]["ema_slow"] buy_33_protection__ema_slow_len = buy_protection_params[33]["ema_slow_len"] buy_33_protection__close_above_ema_fast = buy_protection_params[33]["close_above_ema_fast"] buy_33_protection__close_above_ema_fast_len = buy_protection_params[33]["close_above_ema_fast_len"] buy_33_protection__close_above_ema_slow = buy_protection_params[33]["close_above_ema_slow"] buy_33_protection__close_above_ema_slow_len = buy_protection_params[33]["close_above_ema_slow_len"] buy_33_protection__sma200_rising = buy_protection_params[33]["sma200_rising"] buy_33_protection__sma200_rising_val = buy_protection_params[33]["sma200_rising_val"] buy_33_protection__sma200_1h_rising = buy_protection_params[33]["sma200_1h_rising"] buy_33_protection__sma200_1h_rising_val = buy_protection_params[33]["sma200_1h_rising_val"] buy_33_protection__safe_dips = buy_protection_params[33]["safe_dips"] buy_33_protection__safe_dips_type = buy_protection_params[33]["safe_dips_type"] buy_33_protection__safe_pump = buy_protection_params[33]["safe_pump"] buy_33_protection__safe_pump_type = buy_protection_params[33]["safe_pump_type"] buy_33_protection__safe_pump_period = buy_protection_params[33]["safe_pump_period"] buy_33_protection__btc_1h_not_downtrend = buy_protection_params[33]["btc_1h_not_downtrend"] buy_condition_34_enable = buy_protection_params[34]["enable"] buy_34_protection__ema_fast = buy_protection_params[34]["ema_fast"] buy_34_protection__ema_fast_len = buy_protection_params[34]["ema_fast_len"] buy_34_protection__ema_slow = buy_protection_params[34]["ema_slow"] buy_34_protection__ema_slow_len = buy_protection_params[34]["ema_slow_len"] buy_34_protection__close_above_ema_fast = buy_protection_params[34]["close_above_ema_fast"] buy_34_protection__close_above_ema_fast_len = buy_protection_params[34]["close_above_ema_fast_len"] buy_34_protection__close_above_ema_slow = buy_protection_params[34]["close_above_ema_slow"] buy_34_protection__close_above_ema_slow_len = buy_protection_params[34]["close_above_ema_slow_len"] buy_34_protection__sma200_rising = buy_protection_params[34]["sma200_rising"] buy_34_protection__sma200_rising_val = buy_protection_params[34]["sma200_rising_val"] buy_34_protection__sma200_1h_rising = buy_protection_params[34]["sma200_1h_rising"] buy_34_protection__sma200_1h_rising_val = buy_protection_params[34]["sma200_1h_rising_val"] buy_34_protection__safe_dips = buy_protection_params[34]["safe_dips"] buy_34_protection__safe_dips_type = buy_protection_params[34]["safe_dips_type"] buy_34_protection__safe_pump = buy_protection_params[34]["safe_pump"] buy_34_protection__safe_pump_type = buy_protection_params[34]["safe_pump_type"] buy_34_protection__safe_pump_period = buy_protection_params[34]["safe_pump_period"] buy_34_protection__btc_1h_not_downtrend = buy_protection_params[34]["btc_1h_not_downtrend"] # Strict dips - level 10 buy_dip_threshold_10_1 = DecimalParameter(0.001, 0.05, default=0.015, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_10_2 = DecimalParameter(0.01, 0.2, default=0.1, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_10_3 = DecimalParameter(0.1, 0.3, default=0.24, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_10_4 = DecimalParameter(0.3, 0.5, default=0.42, space='buy', decimals=3, optimize=False, load=True) # Strict dips - level 20 buy_dip_threshold_20_1 = DecimalParameter(0.001, 0.05, default=0.016, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_20_2 = DecimalParameter(0.01, 0.2, default=0.11, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_20_3 = DecimalParameter(0.1, 0.4, default=0.26, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_20_4 = DecimalParameter(0.36, 0.56, default=0.44, space='buy', decimals=3, optimize=False, load=True) # Strict dips - level 30 buy_dip_threshold_30_1 = DecimalParameter(0.001, 0.05, default=0.018, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_30_2 = DecimalParameter(0.01, 0.2, default=0.12, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_30_3 = DecimalParameter(0.1, 0.4, default=0.28, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_30_4 = DecimalParameter(0.36, 0.56, default=0.46, space='buy', decimals=3, optimize=False, load=True) # Strict dips - level 40 buy_dip_threshold_40_1 = DecimalParameter(0.001, 0.05, default=0.019, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_40_2 = DecimalParameter(0.01, 0.2, default=0.13, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_40_3 = DecimalParameter(0.1, 0.4, default=0.3, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_40_4 = DecimalParameter(0.36, 0.56, default=0.48, space='buy', decimals=3, optimize=False, load=True) # Normal dips - level 50 buy_dip_threshold_50_1 = DecimalParameter(0.001, 0.05, default=0.02, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_50_2 = DecimalParameter(0.01, 0.2, default=0.14, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_50_3 = DecimalParameter(0.05, 0.4, default=0.32, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_50_4 = DecimalParameter(0.2, 0.5, default=0.5, space='buy', decimals=3, optimize=False, load=True) # Normal dips - level 60 buy_dip_threshold_60_1 = DecimalParameter(0.001, 0.05, default=0.022, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_60_2 = DecimalParameter(0.1, 0.22, default=0.18, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_60_3 = DecimalParameter(0.2, 0.4, default=0.34, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_60_4 = DecimalParameter(0.4, 0.6, default=0.56, space='buy', decimals=3, optimize=False, load=True) # Normal dips - level 70 buy_dip_threshold_70_1 = DecimalParameter(0.001, 0.05, default=0.023, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_70_2 = DecimalParameter(0.16, 0.28, default=0.2, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_70_3 = DecimalParameter(0.2, 0.4, default=0.36, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_70_4 = DecimalParameter(0.5, 0.7, default=0.6, space='buy', decimals=3, optimize=False, load=True) # Normal dips - level 80 buy_dip_threshold_80_1 = DecimalParameter(0.001, 0.05, default=0.024, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_80_2 = DecimalParameter(0.16, 0.28, default=0.22, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_80_3 = DecimalParameter(0.2, 0.4, default=0.38, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_80_4 = DecimalParameter(0.5, 0.7, default=0.66, space='buy', decimals=3, optimize=False, load=True) # Normal dips - level 70 buy_dip_threshold_90_1 = DecimalParameter(0.001, 0.05, default=0.025, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_90_2 = DecimalParameter(0.16, 0.28, default=0.23, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_90_3 = DecimalParameter(0.3, 0.5, default=0.4, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_90_4 = DecimalParameter(0.6, 0.8, default=0.7, space='buy', decimals=3, optimize=False, load=True) # Loose dips - level 100 buy_dip_threshold_100_1 = DecimalParameter(0.001, 0.05, default=0.026, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_100_2 = DecimalParameter(0.16, 0.3, default=0.24, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_100_3 = DecimalParameter(0.3, 0.5, default=0.42, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_100_4 = DecimalParameter(0.6, 1.0, default=0.8, space='buy', decimals=3, optimize=False, load=True) # Loose dips - level 110 buy_dip_threshold_110_1 = DecimalParameter(0.001, 0.05, default=0.027, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_110_2 = DecimalParameter(0.16, 0.3, default=0.26, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_110_3 = DecimalParameter(0.3, 0.5, default=0.44, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_110_4 = DecimalParameter(0.6, 1.0, default=0.84, space='buy', decimals=3, optimize=False, load=True) # Loose dips - level 120 buy_dip_threshold_120_1 = DecimalParameter(0.001, 0.05, default=0.028, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_120_2 = DecimalParameter(0.16, 0.3, default=0.28, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_120_3 = DecimalParameter(0.3, 0.5, default=0.46, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_120_4 = DecimalParameter(0.6, 1.0, default=0.86, space='buy', decimals=3, optimize=False, load=True) # Loose dips - level 130 buy_dip_threshold_130_1 = DecimalParameter(0.001, 0.05, default=0.028, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_130_2 = DecimalParameter(0.16, 0.34, default=0.3, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_130_3 = DecimalParameter(0.36, 0.56, default=0.48, space='buy', decimals=3, optimize=False, load=True) buy_dip_threshold_130_4 = DecimalParameter(0.6, 1.0, default=0.9, space='buy', decimals=3, optimize=False, load=True) # 24 hours - level 10 buy_pump_pull_threshold_10_24 = DecimalParameter(1.5, 3.0, default=2.2, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_10_24 = DecimalParameter(0.4, 1.0, default=0.42, space='buy', decimals=3, optimize=False, load=True) # 36 hours - level 10 buy_pump_pull_threshold_10_36 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_10_36 = DecimalParameter(0.4, 1.0, default=0.58, space='buy', decimals=3, optimize=False, load=True) # 48 hours - level 10 buy_pump_pull_threshold_10_48 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_10_48 = DecimalParameter(0.4, 1.0, default=0.8, space='buy', decimals=3, optimize=False, load=True) # 24 hours - level 20 buy_pump_pull_threshold_20_24 = DecimalParameter(1.5, 3.0, default=2.2, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_20_24 = DecimalParameter(0.4, 1.0, default=0.46, space='buy', decimals=3, optimize=False, load=True) # 36 hours - level 20 buy_pump_pull_threshold_20_36 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_20_36 = DecimalParameter(0.4, 1.0, default=0.6, space='buy', decimals=3, optimize=False, load=True) # 48 hours - level 20 buy_pump_pull_threshold_20_48 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_20_48 = DecimalParameter(0.4, 1.0, default=0.81, space='buy', decimals=3, optimize=False, load=True) # 24 hours - level 30 buy_pump_pull_threshold_30_24 = DecimalParameter(1.5, 3.0, default=2.2, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_30_24 = DecimalParameter(0.4, 1.0, default=0.5, space='buy', decimals=3, optimize=False, load=True) # 36 hours - level 30 buy_pump_pull_threshold_30_36 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_30_36 = DecimalParameter(0.4, 1.0, default=0.62, space='buy', decimals=3, optimize=False, load=True) # 48 hours - level 30 buy_pump_pull_threshold_30_48 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_30_48 = DecimalParameter(0.4, 1.0, default=0.82, space='buy', decimals=3, optimize=False, load=True) # 24 hours - level 40 buy_pump_pull_threshold_40_24 = DecimalParameter(1.5, 3.0, default=2.2, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_40_24 = DecimalParameter(0.4, 1.0, default=0.54, space='buy', decimals=3, optimize=False, load=True) # 36 hours - level 40 buy_pump_pull_threshold_40_36 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_40_36 = DecimalParameter(0.4, 1.0, default=0.63, space='buy', decimals=3, optimize=False, load=True) # 48 hours - level 40 buy_pump_pull_threshold_40_48 = DecimalParameter(1.5, 3.0, default=2.0, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_40_48 = DecimalParameter(0.4, 1.0, default=0.84, space='buy', decimals=3, optimize=False, load=True) # 24 hours - level 50 buy_pump_pull_threshold_50_24 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_50_24 = DecimalParameter(0.4, 1.0, default=0.6, space='buy', decimals=3, optimize=False, load=True) # 36 hours - level 50 buy_pump_pull_threshold_50_36 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_50_36 = DecimalParameter(0.4, 1.0, default=0.64, space='buy', decimals=3, optimize=False, load=True) # 48 hours - level 50 buy_pump_pull_threshold_50_48 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_50_48 = DecimalParameter(0.4, 1.0, default=0.85, space='buy', decimals=3, optimize=False, load=True) # 24 hours - level 60 buy_pump_pull_threshold_60_24 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_60_24 = DecimalParameter(0.4, 1.0, default=0.62, space='buy', decimals=3, optimize=False, load=True) # 36 hours - level 60 buy_pump_pull_threshold_60_36 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_60_36 = DecimalParameter(0.4, 1.0, default=0.66, space='buy', decimals=3, optimize=False, load=True) # 48 hours - level 60 buy_pump_pull_threshold_60_48 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_60_48 = DecimalParameter(0.4, 1.0, default=0.9, space='buy', decimals=3, optimize=False, load=True) # 24 hours - level 70 buy_pump_pull_threshold_70_24 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_70_24 = DecimalParameter(0.4, 1.0, default=0.63, space='buy', decimals=3, optimize=False, load=True) # 36 hours - level 70 buy_pump_pull_threshold_70_36 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_70_36 = DecimalParameter(0.4, 1.0, default=0.67, space='buy', decimals=3, optimize=False, load=True) # 48 hours - level 70 buy_pump_pull_threshold_70_48 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_70_48 = DecimalParameter(0.4, 1.0, default=0.95, space='buy', decimals=3, optimize=False, load=True) # 24 hours - level 80 buy_pump_pull_threshold_80_24 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_80_24 = DecimalParameter(0.4, 1.0, default=0.64, space='buy', decimals=3, optimize=False, load=True) # 36 hours - level 80 buy_pump_pull_threshold_80_36 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_80_36 = DecimalParameter(0.4, 1.0, default=0.68, space='buy', decimals=3, optimize=False, load=True) # 48 hours - level 80 buy_pump_pull_threshold_80_48 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_80_48 = DecimalParameter(0.8, 1.1, default=1.0, space='buy', decimals=3, optimize=False, load=True) # 24 hours - level 90 buy_pump_pull_threshold_90_24 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_90_24 = DecimalParameter(0.4, 1.0, default=0.65, space='buy', decimals=3, optimize=False, load=True) # 36 hours - level 90 buy_pump_pull_threshold_90_36 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_90_36 = DecimalParameter(0.4, 1.0, default=0.69, space='buy', decimals=3, optimize=False, load=True) # 48 hours - level 90 buy_pump_pull_threshold_90_48 = DecimalParameter(1.5, 3.0, default=1.75, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_90_48 = DecimalParameter(0.8, 1.2, default=1.1, space='buy', decimals=3, optimize=False, load=True) # 24 hours - level 100 buy_pump_pull_threshold_100_24 = DecimalParameter(1.5, 3.0, default=1.7, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_100_24 = DecimalParameter(0.4, 1.0, default=0.66, space='buy', decimals=3, optimize=False, load=True) # 36 hours - level 100 buy_pump_pull_threshold_100_36 = DecimalParameter(1.5, 3.0, default=1.7, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_100_36 = DecimalParameter(0.4, 1.0, default=0.7, space='buy', decimals=3, optimize=False, load=True) # 48 hours - level 100 buy_pump_pull_threshold_100_48 = DecimalParameter(1.3, 2.0, default=1.4, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_100_48 = DecimalParameter(0.4, 1.8, default=1.6, space='buy', decimals=3, optimize=False, load=True) # 24 hours - level 110 buy_pump_pull_threshold_110_24 = DecimalParameter(1.5, 3.0, default=1.7, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_110_24 = DecimalParameter(0.4, 1.0, default=0.7, space='buy', decimals=3, optimize=False, load=True) # 36 hours - level 110 buy_pump_pull_threshold_110_36 = DecimalParameter(1.5, 3.0, default=1.7, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_110_36 = DecimalParameter(0.4, 1.0, default=0.74, space='buy', decimals=3, optimize=False, load=True) # 48 hours - level 110 buy_pump_pull_threshold_110_48 = DecimalParameter(1.3, 2.0, default=1.4, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_110_48 = DecimalParameter(1.4, 2.0, default=1.8, space='buy', decimals=3, optimize=False, load=True) # 24 hours - level 120 buy_pump_pull_threshold_120_24 = DecimalParameter(1.5, 3.0, default=1.7, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_120_24 = DecimalParameter(0.4, 1.0, default=0.78, space='buy', decimals=3, optimize=False, load=True) # 36 hours - level 120 buy_pump_pull_threshold_120_36 = DecimalParameter(1.5, 3.0, default=1.7, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_120_36 = DecimalParameter(0.4, 1.0, default=0.78, space='buy', decimals=3, optimize=False, load=True) # 48 hours - level 120 buy_pump_pull_threshold_120_48 = DecimalParameter(1.3, 2.0, default=1.4, space='buy', decimals=2, optimize=False, load=True) buy_pump_threshold_120_48 = DecimalParameter(1.4, 2.8, default=2.0, space='buy', decimals=3, optimize=False, load=True) # 5 hours - level 10 buy_dump_protection_10_5 = DecimalParameter(0.3, 0.8, default=0.4, space='buy', decimals=2, optimize=False, load=True) # 5 hours - level 20 buy_dump_protection_20_5 = DecimalParameter(0.3, 0.8, default=0.44, space='buy', decimals=2, optimize=False, load=True) # 5 hours - level 30 buy_dump_protection_30_5 = DecimalParameter(0.3, 0.8, default=0.50, space='buy', decimals=2, optimize=False, load=True) # 5 hours - level 40 buy_dump_protection_40_5 = DecimalParameter(0.3, 0.8, default=0.58, space='buy', decimals=2, optimize=False, load=True) # 5 hours - level 50 buy_dump_protection_50_5 = DecimalParameter(0.3, 0.8, default=0.66, space='buy', decimals=2, optimize=False, load=True) # 5 hours - level 60 buy_dump_protection_60_5 = DecimalParameter(0.3, 0.8, default=0.74, space='buy', decimals=2, optimize=False, load=True) buy_min_inc_1 = DecimalParameter(0.01, 0.05, default=0.022, space='buy', decimals=3, optimize=False, load=True) buy_rsi_1h_min_1 = DecimalParameter(25.0, 40.0, default=20.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_max_1 = DecimalParameter(70.0, 90.0, default=84.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1 = DecimalParameter(20.0, 40.0, default=36.0, space='buy', decimals=1, optimize=False, load=True) buy_mfi_1 = DecimalParameter(20.0, 40.0, default=50.0, space='buy', decimals=1, optimize=False, load=True) buy_cti_1 = DecimalParameter(-0.99, -0.5, default=-0.88, space='buy', decimals=2, optimize=False, load=True) buy_rsi_1h_min_2 = DecimalParameter(30.0, 40.0, default=32.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_max_2 = DecimalParameter(70.0, 95.0, default=84.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_diff_2 = DecimalParameter(30.0, 50.0, default=38.0, space='buy', decimals=1, optimize=False, load=True) buy_mfi_2 = DecimalParameter(30.0, 56.0, default=49.0, space='buy', decimals=1, optimize=False, load=True) buy_bb_offset_2 = DecimalParameter(0.97, 0.999, default=0.983, space='buy', decimals=3, optimize=False, load=True) buy_volume_2 = DecimalParameter(0.6, 6.0, default=1.6, space='buy', decimals=1, optimize=False, load=True) buy_bb40_bbdelta_close_3 = DecimalParameter(0.005, 0.06, default=0.045, space='buy', optimize=False, load=True) buy_bb40_closedelta_close_3 = DecimalParameter(0.01, 0.03, default=0.022, space='buy', optimize=False, load=True) buy_bb40_tail_bbdelta_3 = DecimalParameter(0.15, 0.45, default=0.418, space='buy', optimize=False, load=True) buy_ema_rel_3 = DecimalParameter(0.97, 0.999, default=0.986, space='buy', decimals=3, optimize=False, load=True) buy_cti_3 = DecimalParameter(-0.99, -0.5, default=-0.9, space='buy', decimals=2, optimize=False, load=True) buy_bb20_close_bblowerband_4 = DecimalParameter(0.96, 0.99, default=0.976, space='buy', optimize=False, load=True) buy_bb20_volume_4 = DecimalParameter(1.0, 20.0, default=3.0, space='buy', decimals=2, optimize=False, load=True) buy_ema_open_mult_5 = DecimalParameter(0.016, 0.03, default=0.018, space='buy', decimals=3, optimize=False, load=True) buy_bb_offset_5 = DecimalParameter(0.98, 1.0, default=0.996, space='buy', decimals=3, optimize=False, load=True) buy_ema_rel_5 = DecimalParameter(0.97, 0.999, default=0.944, space='buy', decimals=3, optimize=False, load=True) buy_cti_5 = DecimalParameter(-0.99, -0.5, default=-0.84, space='buy', decimals=2, optimize=False, load=True) buy_volume_5 = DecimalParameter(0.6, 6.0, default=1.9, space='buy', decimals=1, optimize=False, load=True) buy_ema_open_mult_6 = DecimalParameter(0.02, 0.03, default=0.021, space='buy', decimals=3, optimize=False, load=True) buy_bb_offset_6 = DecimalParameter(0.98, 0.999, default=0.984, space='buy', decimals=3, optimize=False, load=True) buy_ema_open_mult_7 = DecimalParameter(0.02, 0.04, default=0.031, space='buy', decimals=3, optimize=False, load=True) buy_cti_7 = DecimalParameter(-0.99, -0.5, default=-0.89, space='buy', decimals=2, optimize=False, load=True) buy_cti_8 = DecimalParameter(-0.99, -0.5, default=-0.9, space='buy', decimals=2, optimize=False, load=True) buy_rsi_8 = DecimalParameter(20.0, 50.0, default=30.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_8 = DecimalParameter(40.0, 66.0, default=54.0, space='buy', decimals=1, optimize=False, load=True) buy_volume_8 = DecimalParameter(0.6, 6.0, default=1.2, space='buy', decimals=1, optimize=False, load=True) buy_ma_offset_9 = DecimalParameter(0.91, 0.94, default=0.922, space='buy', decimals=3, optimize=False, load=True) buy_bb_offset_9 = DecimalParameter(0.96, 0.98, default=0.942, space='buy', decimals=3, optimize=False, load=True) buy_rsi_1h_min_9 = DecimalParameter(26.0, 40.0, default=20.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_max_9 = DecimalParameter(70.0, 90.0, default=88.0, space='buy', decimals=1, optimize=False, load=True) buy_mfi_9 = DecimalParameter(36.0, 56.0, default=50.0, space='buy', decimals=1, optimize=False, load=True) buy_ma_offset_10 = DecimalParameter(0.93, 0.97, default=0.948, space='buy', decimals=3, optimize=False, load=True) buy_bb_offset_10 = DecimalParameter(0.97, 0.99, default=0.985, space='buy', decimals=3, optimize=False, load=True) buy_rsi_1h_10 = DecimalParameter(20.0, 40.0, default=37.0, space='buy', decimals=1, optimize=False, load=True) buy_ma_offset_11 = DecimalParameter(0.93, 0.99, default=0.934, space='buy', decimals=3, optimize=False, load=True) buy_min_inc_11 = DecimalParameter(0.005, 0.05, default=0.01, space='buy', decimals=3, optimize=False, load=True) buy_rsi_1h_min_11 = DecimalParameter(40.0, 60.0, default=55.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_max_11 = DecimalParameter(70.0, 90.0, default=84.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_11 = DecimalParameter(34.0, 50.0, default=48.0, space='buy', decimals=1, optimize=False, load=True) buy_mfi_11 = DecimalParameter(30.0, 46.0, default=36.0, space='buy', decimals=1, optimize=False, load=True) buy_ma_offset_12 = DecimalParameter(0.93, 0.97, default=0.922, space='buy', decimals=3, optimize=False, load=True) buy_rsi_12 = DecimalParameter(26.0, 40.0, default=30.0, space='buy', decimals=1, optimize=False, load=True) buy_ewo_12 = DecimalParameter(1.0, 6.0, default=1.8, space='buy', decimals=1, optimize=False, load=True) buy_ma_offset_13 = DecimalParameter(0.93, 0.98, default=0.99, space='buy', decimals=3, optimize=False, load=True) buy_ewo_13 = DecimalParameter(-14.0, -7.0, default=-11.4, space='buy', decimals=1, optimize=False, load=True) buy_ema_open_mult_14 = DecimalParameter(0.01, 0.03, default=0.014, space='buy', decimals=3, optimize=False, load=True) buy_bb_offset_14 = DecimalParameter(0.98, 1.0, default=0.988, space='buy', decimals=3, optimize=False, load=True) buy_ma_offset_14 = DecimalParameter(0.93, 0.99, default=0.98, space='buy', decimals=3, optimize=False, load=True) buy_ema_open_mult_15 = DecimalParameter(0.01, 0.03, default=0.018, space='buy', decimals=3, optimize=False, load=True) buy_ma_offset_15 = DecimalParameter(0.93, 0.99, default=0.954, space='buy', decimals=3, optimize=False, load=True) buy_rsi_15 = DecimalParameter(20.0, 36.0, default=28.0, space='buy', decimals=1, optimize=False, load=True) buy_ema_rel_15 = DecimalParameter(0.97, 0.999, default=0.988, space='buy', decimals=3, optimize=False, load=True) buy_ma_offset_16 = DecimalParameter(0.93, 0.97, default=0.952, space='buy', decimals=3, optimize=False, load=True) buy_rsi_16 = DecimalParameter(26.0, 50.0, default=31.0, space='buy', decimals=1, optimize=False, load=True) buy_ewo_16 = DecimalParameter(2.0, 6.0, default=2.8, space='buy', decimals=1, optimize=False, load=True) buy_ma_offset_17 = DecimalParameter(0.93, 0.98, default=0.952, space='buy', decimals=3, optimize=False, load=True) buy_ewo_17 = DecimalParameter(-18.0, -10.0, default=-12.8, space='buy', decimals=1, optimize=False, load=True) buy_rsi_18 = DecimalParameter(16.0, 32.0, default=26.0, space='buy', decimals=1, optimize=False, load=True) buy_bb_offset_18 = DecimalParameter(0.98, 1.0, default=0.982, space='buy', decimals=3, optimize=False, load=True) buy_rsi_1h_min_19 = DecimalParameter(40.0, 70.0, default=50.0, space='buy', decimals=1, optimize=False, load=True) buy_chop_min_19 = DecimalParameter(20.0, 60.0, default=22.1, space='buy', decimals=1, optimize=False, load=True) buy_rsi_20 = DecimalParameter(20.0, 36.0, default=27.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_20 = DecimalParameter(14.0, 30.0, default=20.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_21 = DecimalParameter(10.0, 28.0, default=23.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_21 = DecimalParameter(18.0, 40.0, default=24.0, space='buy', decimals=1, optimize=False, load=True) buy_cti_21 = DecimalParameter(-0.99, -0.4, default=-0.9, space='buy', decimals=2, optimize=False, load=True) buy_volume_22 = DecimalParameter(0.5, 6.0, default=3.0, space='buy', decimals=1, optimize=False, load=True) buy_bb_offset_22 = DecimalParameter(0.98, 1.0, default=0.98, space='buy', decimals=3, optimize=False, load=True) buy_ma_offset_22 = DecimalParameter(0.93, 0.98, default=0.941, space='buy', decimals=3, optimize=False, load=True) buy_ewo_22 = DecimalParameter(2.0, 10.0, default=4.2, space='buy', decimals=1, optimize=False, load=True) buy_rsi_22 = DecimalParameter(26.0, 56.0, default=37.0, space='buy', decimals=1, optimize=False, load=True) buy_bb_offset_23 = DecimalParameter(0.97, 1.0, default=0.983, space='buy', decimals=3, optimize=False, load=True) buy_ewo_23 = DecimalParameter(2.0, 10.0, default=7.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_23 = DecimalParameter(20.0, 40.0, default=30.0, space='buy', decimals=1, optimize=False, load=True) buy_rsi_1h_23 = DecimalParameter(60.0, 80.0, default=70.0, space='buy', decimals=1, optimize=False, load=True) buy_24_rsi_max = DecimalParameter(26.0, 60.0, default=60.0, space='buy', decimals=1, optimize=False, load=True) buy_24_rsi_1h_min = DecimalParameter(40.0, 90.0, default=66.9, space='buy', decimals=1, optimize=False, load=True) buy_25_ma_offset = DecimalParameter(0.90, 0.99, default=0.922, space='buy', optimize=False, load=True) buy_25_rsi_14 = DecimalParameter(26.0, 40.0, default=38.0, space='buy', decimals=1, optimize=False, load=True) buy_26_zema_low_offset = DecimalParameter(0.90, 0.99, default=0.93, space='buy', optimize=False, load=True) buy_27_wr_max = DecimalParameter(95, 99, default=95.4, space='buy', decimals=1, optimize=False, load=True) buy_27_wr_1h_max = DecimalParameter(90, 99, default=97.6, space='buy', decimals=1, optimize=False, load=True) buy_27_rsi_max = DecimalParameter(40, 70, default=50, space='buy', decimals=0, optimize=False, load=True) # Sell sell_condition_1_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_condition_2_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_condition_3_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_condition_4_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_condition_5_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_condition_6_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_condition_7_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) sell_condition_8_enable = CategoricalParameter([True, False], default=True, space='sell', optimize=False, load=True) # 48h for pump sell checks sell_pump_threshold_48_1 = DecimalParameter(0.5, 1.2, default=0.9, space='sell', decimals=2, optimize=False, load=True) sell_pump_threshold_48_2 = DecimalParameter(0.4, 0.9, default=0.7, space='sell', decimals=2, optimize=False, load=True) sell_pump_threshold_48_3 = DecimalParameter(0.3, 0.7, default=0.5, space='sell', decimals=2, optimize=False, load=True) # 36h for pump sell checks sell_pump_threshold_36_1 = DecimalParameter(0.5, 0.9, default=0.72, space='sell', decimals=2, optimize=False, load=True) sell_pump_threshold_36_2 = DecimalParameter(3.0, 6.0, default=4.0, space='sell', decimals=2, optimize=False, load=True) sell_pump_threshold_36_3 = DecimalParameter(0.8, 1.6, default=1.0, space='sell', decimals=2, optimize=False, load=True) # 24h for pump sell checks sell_pump_threshold_24_1 = DecimalParameter(0.5, 0.9, default=0.68, space='sell', decimals=2, optimize=False, load=True) sell_pump_threshold_24_2 = DecimalParameter(0.3, 0.6, default=0.62, space='sell', decimals=2, optimize=False, load=True) sell_pump_threshold_24_3 = DecimalParameter(0.2, 0.5, default=0.88, space='sell', decimals=2, optimize=False, load=True) sell_rsi_bb_1 = DecimalParameter(60.0, 80.0, default=79.5, space='sell', decimals=1, optimize=False, load=True) sell_rsi_bb_2 = DecimalParameter(72.0, 90.0, default=81, space='sell', decimals=1, optimize=False, load=True) sell_rsi_main_3 = DecimalParameter(77.0, 90.0, default=82, space='sell', decimals=1, optimize=False, load=True) sell_dual_rsi_rsi_4 = DecimalParameter(72.0, 84.0, default=73.4, space='sell', decimals=1, optimize=False, load=True) sell_dual_rsi_rsi_1h_4 = DecimalParameter(78.0, 92.0, default=79.6, space='sell', decimals=1, optimize=False, load=True) sell_ema_relative_5 = DecimalParameter(0.005, 0.05, default=0.024, space='sell', optimize=False, load=True) sell_rsi_diff_5 = DecimalParameter(0.0, 20.0, default=4.4, space='sell', optimize=False, load=True) sell_rsi_under_6 = DecimalParameter(72.0, 90.0, default=79.0, space='sell', decimals=1, optimize=False, load=True) sell_rsi_1h_7 = DecimalParameter(80.0, 95.0, default=81.7, space='sell', decimals=1, optimize=False, load=True) sell_bb_relative_8 = DecimalParameter(1.05, 1.3, default=1.1, space='sell', decimals=3, optimize=False, load=True) # Profit over EMA200 sell_custom_profit_0 = DecimalParameter(0.01, 0.1, default=0.012, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_0 = DecimalParameter(30.0, 40.0, default=34.0, space='sell', decimals=3, optimize=False, load=True) sell_custom_profit_1 = DecimalParameter(0.01, 0.1, default=0.02, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_1 = DecimalParameter(30.0, 50.0, default=35.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_2 = DecimalParameter(0.01, 0.1, default=0.03, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_2 = DecimalParameter(30.0, 50.0, default=37.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_3 = DecimalParameter(0.01, 0.1, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_3 = DecimalParameter(30.0, 50.0, default=42.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_4 = DecimalParameter(0.01, 0.1, default=0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_4 = DecimalParameter(35.0, 50.0, default=43.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_5 = DecimalParameter(0.01, 0.1, default=0.06, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_5 = DecimalParameter(35.0, 50.0, default=45.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_6 = DecimalParameter(0.01, 0.1, default=0.07, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_6 = DecimalParameter(38.0, 55.0, default=52.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_7 = DecimalParameter(0.01, 0.1, default=0.08, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_7 = DecimalParameter(40.0, 58.0, default=54.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_8 = DecimalParameter(0.06, 0.1, default=0.09, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_8 = DecimalParameter(40.0, 50.0, default=55.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_9 = DecimalParameter(0.05, 0.14, default=0.1, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_9 = DecimalParameter(40.0, 60.0, default=54.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_10 = DecimalParameter(0.1, 0.14, default=0.12, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_10 = DecimalParameter(38.0, 50.0, default=42.0, space='sell', decimals=2, optimize=False, load=True) sell_custom_profit_11 = DecimalParameter(0.16, 0.45, default=0.20, space='sell', decimals=3, optimize=False, load=True) sell_custom_rsi_11 = DecimalParameter(28.0, 40.0, default=34.0, space='sell', decimals=2, optimize=False, load=True) # Profit under EMA200 sell_custom_under_profit_0 = DecimalParameter(0.01, 0.4, default=0.01, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_0 = DecimalParameter(28.0, 40.0, default=38.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_1 = DecimalParameter(0.01, 0.10, default=0.02, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_1 = DecimalParameter(36.0, 60.0, default=56.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_2 = DecimalParameter(0.01, 0.10, default=0.03, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_2 = DecimalParameter(46.0, 66.0, default=57.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_3 = DecimalParameter(0.01, 0.10, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_3 = DecimalParameter(50.0, 68.0, default=58.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_4 = DecimalParameter(0.02, 0.1, default=0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_4 = DecimalParameter(50.0, 68.0, default=59.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_5 = DecimalParameter(0.02, 0.1, default=0.06, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_5 = DecimalParameter(46.0, 62.0, default=60.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_6 = DecimalParameter(0.03, 0.1, default=0.07, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_6 = DecimalParameter(44.0, 60.0, default=56.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_7 = DecimalParameter(0.04, 0.1, default=0.08, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_7 = DecimalParameter(46.0, 60.0, default=54.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_8 = DecimalParameter(0.06, 0.12, default=0.09, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_8 = DecimalParameter(40.0, 58.0, default=55.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_9 = DecimalParameter(0.08, 0.14, default=0.1, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_9 = DecimalParameter(40.0, 60.0, default=54.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_10 = DecimalParameter(0.1, 0.16, default=0.12, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_10 = DecimalParameter(30.0, 50.0, default=42.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_under_profit_11 = DecimalParameter(0.16, 0.3, default=0.2, space='sell', decimals=3, optimize=False, load=True) sell_custom_under_rsi_11 = DecimalParameter(24.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True) # Profit targets for pumped pairs 48h 1 sell_custom_pump_profit_1_1 = DecimalParameter(0.01, 0.03, default=0.01, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_1_1 = DecimalParameter(26.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_1_2 = DecimalParameter(0.01, 0.6, default=0.02, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_1_2 = DecimalParameter(36.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_1_3 = DecimalParameter(0.02, 0.10, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_1_3 = DecimalParameter(38.0, 50.0, default=42.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_1_4 = DecimalParameter(0.06, 0.12, default=0.1, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_1_4 = DecimalParameter(36.0, 48.0, default=42.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_1_5 = DecimalParameter(0.14, 0.24, default=0.2, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_1_5 = DecimalParameter(20.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True) # Profit targets for pumped pairs 36h 1 sell_custom_pump_profit_2_1 = DecimalParameter(0.01, 0.03, default=0.01, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_2_1 = DecimalParameter(26.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_2_2 = DecimalParameter(0.01, 0.6, default=0.02, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_2_2 = DecimalParameter(36.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_2_3 = DecimalParameter(0.02, 0.10, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_2_3 = DecimalParameter(38.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_2_4 = DecimalParameter(0.06, 0.12, default=0.1, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_2_4 = DecimalParameter(36.0, 48.0, default=42.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_2_5 = DecimalParameter(0.14, 0.24, default=0.2, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_2_5 = DecimalParameter(20.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True) # Profit targets for pumped pairs 24h 1 sell_custom_pump_profit_3_1 = DecimalParameter(0.01, 0.03, default=0.01, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_3_1 = DecimalParameter(26.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_3_2 = DecimalParameter(0.01, 0.6, default=0.02, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_3_2 = DecimalParameter(34.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_3_3 = DecimalParameter(0.02, 0.10, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_3_3 = DecimalParameter(38.0, 50.0, default=40.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_3_4 = DecimalParameter(0.06, 0.12, default=0.1, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_3_4 = DecimalParameter(36.0, 48.0, default=42.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_profit_3_5 = DecimalParameter(0.14, 0.24, default=0.2, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_rsi_3_5 = DecimalParameter(20.0, 40.0, default=34.0, space='sell', decimals=1, optimize=False, load=True) # SMA descending sell_custom_dec_profit_min_1 = DecimalParameter(0.01, 0.10, default=0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_dec_profit_max_1 = DecimalParameter(0.06, 0.16, default=0.12, space='sell', decimals=3, optimize=False, load=True) # Under EMA100 sell_custom_dec_profit_min_2 = DecimalParameter(0.05, 0.12, default=0.07, space='sell', decimals=3, optimize=False, load=True) sell_custom_dec_profit_max_2 = DecimalParameter(0.06, 0.2, default=0.16, space='sell', decimals=3, optimize=False, load=True) # Trail 1 sell_trail_profit_min_1 = DecimalParameter(0.1, 0.2, default=0.03, space='sell', decimals=2, optimize=False, load=True) sell_trail_profit_max_1 = DecimalParameter(0.4, 0.7, default=0.05, space='sell', decimals=2, optimize=False, load=True) sell_trail_down_1 = DecimalParameter(0.01, 0.08, default=0.05, space='sell', decimals=3, optimize=False, load=True) sell_trail_rsi_min_1 = DecimalParameter(16.0, 36.0, default=10.0, space='sell', decimals=1, optimize=False, load=True) sell_trail_rsi_max_1 = DecimalParameter(30.0, 50.0, default=20.0, space='sell', decimals=1, optimize=False, load=True) # Trail 2 sell_trail_profit_min_2 = DecimalParameter(0.08, 0.16, default=0.1, space='sell', decimals=3, optimize=False, load=True) sell_trail_profit_max_2 = DecimalParameter(0.3, 0.5, default=0.4, space='sell', decimals=2, optimize=False, load=True) sell_trail_down_2 = DecimalParameter(0.02, 0.08, default=0.03, space='sell', decimals=3, optimize=False, load=True) sell_trail_rsi_min_2 = DecimalParameter(16.0, 36.0, default=20.0, space='sell', decimals=1, optimize=False, load=True) sell_trail_rsi_max_2 = DecimalParameter(30.0, 50.0, default=50.0, space='sell', decimals=1, optimize=False, load=True) # Trail 3 sell_trail_profit_min_3 = DecimalParameter(0.01, 0.12, default=0.06, space='sell', decimals=3, optimize=False, load=True) sell_trail_profit_max_3 = DecimalParameter(0.1, 0.3, default=0.2, space='sell', decimals=2, optimize=False, load=True) sell_trail_down_3 = DecimalParameter(0.01, 0.06, default=0.05, space='sell', decimals=3, optimize=False, load=True) # Trail 4 sell_trail_profit_min_4 = DecimalParameter(0.01, 0.12, default=0.03, space='sell', decimals=3, optimize=False, load=True) sell_trail_profit_max_4 = DecimalParameter(0.02, 0.1, default=0.06, space='sell', decimals=2, optimize=False, load=True) sell_trail_down_4 = DecimalParameter(0.01, 0.06, default=0.02, space='sell', decimals=3, optimize=False, load=True) # Under & near EMA200, accept profit sell_custom_profit_under_profit_1 = DecimalParameter(0.0, 0.01, default=0.0, space='sell', optimize=False, load=True) sell_custom_profit_under_rel_1 = DecimalParameter(0.01, 0.04, default=0.024, space='sell', optimize=False, load=True) sell_custom_profit_under_rsi_diff_1 = DecimalParameter(0.0, 20.0, default=4.4, space='sell', optimize=False, load=True) sell_custom_profit_under_profit_2 = DecimalParameter(0.0, 0.05, default=0.03, space='sell', optimize=False, load=True) sell_custom_profit_under_rel_2 = DecimalParameter(0.01, 0.04, default=0.024, space='sell', optimize=False, load=True) sell_custom_profit_under_rsi_diff_2 = DecimalParameter(0.0, 20.0, default=4.4, space='sell', optimize=False, load=True) # Under & near EMA200, take the loss sell_custom_stoploss_under_rel_1 = DecimalParameter(0.001, 0.02, default=0.002, space='sell', optimize=False, load=True) sell_custom_stoploss_under_rsi_diff_1 = DecimalParameter(0.0, 20.0, default=10.0, space='sell', optimize=False, load=True) # Long duration/recover stoploss 1 sell_custom_stoploss_long_profit_min_1 = DecimalParameter(-0.1, -0.02, default=-0.08, space='sell', optimize=False, load=True) sell_custom_stoploss_long_profit_max_1 = DecimalParameter(-0.06, -0.01, default=-0.04, space='sell', optimize=False, load=True) sell_custom_stoploss_long_recover_1 = DecimalParameter(0.05, 0.15, default=0.14, space='sell', optimize=False, load=True) sell_custom_stoploss_long_rsi_diff_1 = DecimalParameter(0.0, 20.0, default=4.0, space='sell', optimize=False, load=True) # Long duration/recover stoploss 2 sell_custom_stoploss_long_recover_2 = DecimalParameter(0.03, 0.15, default=0.06, space='sell', optimize=False, load=True) sell_custom_stoploss_long_rsi_diff_2 = DecimalParameter(30.0, 50.0, default=40.0, space='sell', optimize=False, load=True) # Pumped, descending SMA sell_custom_pump_dec_profit_min_1 = DecimalParameter(0.001, 0.04, default=0.005, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_dec_profit_max_1 = DecimalParameter(0.03, 0.08, default=0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_dec_profit_min_2 = DecimalParameter(0.01, 0.08, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_dec_profit_max_2 = DecimalParameter(0.04, 0.1, default=0.06, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_dec_profit_min_3 = DecimalParameter(0.02, 0.1, default=0.06, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_dec_profit_max_3 = DecimalParameter(0.06, 0.12, default=0.09, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_dec_profit_min_4 = DecimalParameter(0.01, 0.05, default=0.02, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_dec_profit_max_4 = DecimalParameter(0.02, 0.1, default=0.04, space='sell', decimals=3, optimize=False, load=True) # Pumped 48h 1, under EMA200 sell_custom_pump_under_profit_min_1 = DecimalParameter(0.02, 0.06, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_under_profit_max_1 = DecimalParameter(0.04, 0.1, default=0.09, space='sell', decimals=3, optimize=False, load=True) # Pumped trail 1 sell_custom_pump_trail_profit_min_1 = DecimalParameter(0.01, 0.12, default=0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_trail_profit_max_1 = DecimalParameter(0.06, 0.16, default=0.07, space='sell', decimals=2, optimize=False, load=True) sell_custom_pump_trail_down_1 = DecimalParameter(0.01, 0.06, default=0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_pump_trail_rsi_min_1 = DecimalParameter(16.0, 36.0, default=20.0, space='sell', decimals=1, optimize=False, load=True) sell_custom_pump_trail_rsi_max_1 = DecimalParameter(30.0, 50.0, default=70.0, space='sell', decimals=1, optimize=False, load=True) # Stoploss, pumped, 48h 1 sell_custom_stoploss_pump_max_profit_1 = DecimalParameter(0.01, 0.04, default=0.01, space='sell', decimals=3, optimize=False, load=True) sell_custom_stoploss_pump_min_1 = DecimalParameter(-0.1, -0.01, default=-0.02, space='sell', decimals=3, optimize=False, load=True) sell_custom_stoploss_pump_max_1 = DecimalParameter(-0.1, -0.01, default=-0.01, space='sell', decimals=3, optimize=False, load=True) sell_custom_stoploss_pump_ma_offset_1 = DecimalParameter(0.7, 0.99, default=0.94, space='sell', decimals=2, optimize=False, load=True) # Stoploss, pumped, 48h 1 sell_custom_stoploss_pump_max_profit_2 = DecimalParameter(0.01, 0.04, default=0.025, space='sell', decimals=3, optimize=False, load=True) sell_custom_stoploss_pump_loss_2 = DecimalParameter(-0.1, -0.01, default=-0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_stoploss_pump_ma_offset_2 = DecimalParameter(0.7, 0.99, default=0.92, space='sell', decimals=2, optimize=False, load=True) # Stoploss, pumped, 36h 3 sell_custom_stoploss_pump_max_profit_3 = DecimalParameter(0.01, 0.04, default=0.008, space='sell', decimals=3, optimize=False, load=True) sell_custom_stoploss_pump_loss_3 = DecimalParameter(-0.16, -0.06, default=-0.12, space='sell', decimals=3, optimize=False, load=True) sell_custom_stoploss_pump_ma_offset_3 = DecimalParameter(0.7, 0.99, default=0.88, space='sell', decimals=2, optimize=False, load=True) # Recover sell_custom_recover_profit_1 = DecimalParameter(0.01, 0.06, default=0.06, space='sell', decimals=3, optimize=False, load=True) sell_custom_recover_min_loss_1 = DecimalParameter(0.06, 0.16, default=0.12, space='sell', decimals=3, optimize=False, load=True) sell_custom_recover_profit_min_2 = DecimalParameter(0.01, 0.04, default=0.01, space='sell', decimals=3, optimize=False, load=True) sell_custom_recover_profit_max_2 = DecimalParameter(0.02, 0.08, default=0.05, space='sell', decimals=3, optimize=False, load=True) sell_custom_recover_min_loss_2 = DecimalParameter(0.04, 0.16, default=0.06, space='sell', decimals=3, optimize=False, load=True) sell_custom_recover_rsi_2 = DecimalParameter(32.0, 52.0, default=46.0, space='sell', decimals=1, optimize=False, load=True) # Profit for long duration trades sell_custom_long_profit_min_1 = DecimalParameter(0.01, 0.04, default=0.03, space='sell', decimals=3, optimize=False, load=True) sell_custom_long_profit_max_1 = DecimalParameter(0.02, 0.08, default=0.04, space='sell', decimals=3, optimize=False, load=True) sell_custom_long_duration_min_1 = IntParameter(700, 2000, default=900, space='sell', optimize=False, load=True) #mixed values, mainly from Offset strategy ma_type_index_1 = IntParameter(0, 3, default=0, space='buy', optimize=False) ma_type_index_2 = IntParameter(0, 3, default=0, space='buy', optimize=False) ma_type_index_3 = IntParameter(0, 3, default=0, space='buy', optimize=False) ma_type_index_4 = IntParameter(0, 2, default=0, space='sell', optimize=False) ma_type_index_5 = IntParameter(0, 2, default=0, space='sell', optimize=False) ma_type_index_6 = IntParameter(0, 2, default=0, space='sell', optimize=False) buy_bullish_trigger = CategoricalParameter(ma_types.keys(), default='hull', space='buy', optimize=False) buy_bearish_trigger = CategoricalParameter(ma_types.keys(), default='zlema', space='buy', optimize=False) sell_bullish_trigger = CategoricalParameter(ma_types.keys(), default='hull', space='sell', optimize=False) sell_bearish_trigger = CategoricalParameter(ma_types.keys(), default='zlema', space='sell', optimize=False) base_nb_candles_bearish_buy = IntParameter(5, 80, default=20, space='buy') base_nb_candles_bullish_buy = IntParameter(5, 80, default=20, space='buy') base_nb_candles_bullish_sell = IntParameter(10, 30, default=15, space='sell', optimize=True) base_nb_candles_bearish_sell = IntParameter(10, 30, default=15, space='sell', optimize=True) low_offset_bullish = DecimalParameter(0.95, 1.01, default=0.958, space='buy') low_offset_bearish = DecimalParameter(0.925, 0.98, default=0.93, space='buy') high_offset_bullish = DecimalParameter(1.01, 1.06, default=1.012, space='sell', optimize=True) high_offset_bearish = DecimalParameter(0.98, 1.04, default=0.98, space='sell', optimize=True) pmaxmultiplier = IntParameter(10, 40, default=10, space='buy', optimize=True) pmaxlength = IntParameter(5, 30, default=9, space='buy', optimize=False) atr_multiplier = DecimalParameter(1.0, 4.0, default=3.0, space='sell', decimals=2, optimize=True, load=True) atr_rolling_length = IntParameter(1, 15, default=10, space='sell', optimize=True) # Protection ewo_low = DecimalParameter(-20.0, -8.0, default=buy_params['ewo_low'], space='buy', optimize=True) ewo_high = DecimalParameter(2.0, 12.0, default=buy_params['ewo_high'], space='buy', optimize=True) fast_ewo = IntParameter(10, 50, default=buy_params['fast_ewo'], space='buy', optimize=False) slow_ewo = IntParameter(100, 200, default=buy_params['slow_ewo'], space='buy', optimize=False) rsi_buy_bullish = IntParameter(30, 70, default=50, space='buy', optimize=True, load=True) rsi_buy_bearish = IntParameter(30, 70, default=50, space='buy', optimize=True, load=True) ############################################################# hold_trade_ids = None 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 strat_file_path = pathlib.Path(__file__) hold_trades_config_file = strat_file_path.resolve().parent / "hold-trades.json" if not hold_trades_config_file.is_file(): # The resolved path does not exist, is it a symlink? hold_trades_config_file = strat_file_path.absolute().parent / "hold-trades.json" if not hold_trades_config_file.is_file(): log.warning( "The 'hold-trades.json' file was not found. Looked in '%s' and '%s'. HOLD support disabled.", strat_file_path.resolve().parent, strat_file_path.absolute().parent ) 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. """ self.load_hold_trades_config() return super().bot_loop_start(**kwargs) def get_ticker_indicator(self): return int(self.timeframe[:-1]) def sell_over_main(self, current_profit: float, last_candle) -> tuple: if last_candle['close'] > last_candle['ema_200']: if current_profit > self.sell_custom_profit_11.value: if last_candle['rsi'] < self.sell_custom_rsi_11.value: return True, 'signal_profit_11' elif self.sell_custom_profit_11.value > current_profit > self.sell_custom_profit_10.value: if last_candle['rsi'] < self.sell_custom_rsi_10.value: return True, 'signal_profit_10' elif self.sell_custom_profit_10.value > current_profit > self.sell_custom_profit_9.value: if last_candle['rsi'] < self.sell_custom_rsi_9.value: return True, 'signal_profit_9' elif self.sell_custom_profit_9.value > current_profit > self.sell_custom_profit_8.value: if last_candle['rsi'] < self.sell_custom_rsi_8.value: return True, 'signal_profit_8' elif self.sell_custom_profit_8.value > current_profit > self.sell_custom_profit_7.value: if (last_candle['rsi'] < self.sell_custom_rsi_7.value) & (last_candle['cmf'] < 0.0) : return True, 'signal_profit_7' elif self.sell_custom_profit_7.value > current_profit > self.sell_custom_profit_6.value: if (last_candle['rsi'] < self.sell_custom_rsi_6.value) & (last_candle['cmf'] < 0.0): return True, 'signal_profit_6' elif self.sell_custom_profit_6.value > current_profit > self.sell_custom_profit_5.value: if (last_candle['rsi'] < self.sell_custom_rsi_5.value) & (last_candle['cmf'] < 0.0): return True, 'signal_profit_5' elif self.sell_custom_profit_5.value > current_profit > self.sell_custom_profit_4.value: if (last_candle['rsi'] < self.sell_custom_rsi_4.value) & (last_candle['cmf'] < 0.0) : return True, 'signal_profit_4' elif self.sell_custom_profit_4.value > current_profit > self.sell_custom_profit_3.value: if (last_candle['rsi'] < self.sell_custom_rsi_3.value) & (last_candle['cmf'] < 0.0): return True, 'signal_profit_3' elif self.sell_custom_profit_3.value > current_profit > self.sell_custom_profit_2.value: if (last_candle['rsi'] < self.sell_custom_rsi_2.value) & (last_candle['cmf'] < 0.0): return True, 'signal_profit_2' elif self.sell_custom_profit_2.value > current_profit > self.sell_custom_profit_1.value: if (last_candle['rsi'] < self.sell_custom_rsi_1.value) & (last_candle['cmf'] < 0.0): return True, 'signal_profit_1' elif self.sell_custom_profit_1.value > current_profit > self.sell_custom_profit_0.value: if (last_candle['rsi'] < self.sell_custom_rsi_0.value) & (last_candle['cmf'] < 0.0): return True, 'signal_profit_0' return False, None def sell_under_main(self, current_profit: float, last_candle) -> tuple: if last_candle['close'] < last_candle['ema_200']: if current_profit > self.sell_custom_under_profit_11.value: if last_candle['rsi'] < self.sell_custom_under_rsi_11.value: return True, 'signal_profit_u_11' elif self.sell_custom_under_profit_11.value > current_profit > self.sell_custom_under_profit_10.value: if last_candle['rsi'] < self.sell_custom_under_rsi_10.value: return True, 'signal_profit_u_10' elif self.sell_custom_under_profit_10.value > current_profit > self.sell_custom_under_profit_9.value: if last_candle['rsi'] < self.sell_custom_under_rsi_9.value: return True, 'signal_profit_u_9' elif self.sell_custom_under_profit_9.value > current_profit > self.sell_custom_under_profit_8.value: if last_candle['rsi'] < self.sell_custom_under_rsi_8.value: return True, 'signal_profit_u_8' elif self.sell_custom_under_profit_8.value > current_profit > self.sell_custom_under_profit_7.value: if last_candle['rsi'] < self.sell_custom_under_rsi_7.value: return True, 'signal_profit_u_7' elif self.sell_custom_under_profit_7.value > current_profit > self.sell_custom_under_profit_6.value: if last_candle['rsi'] < self.sell_custom_under_rsi_6.value: return True, 'signal_profit_u_6' elif self.sell_custom_under_profit_6.value > current_profit > self.sell_custom_under_profit_5.value: if last_candle['rsi'] < self.sell_custom_under_rsi_5.value: return True, 'signal_profit_u_5' elif self.sell_custom_under_profit_5.value > current_profit > self.sell_custom_under_profit_4.value: if last_candle['rsi'] < self.sell_custom_under_rsi_4.value: return True, 'signal_profit_u_4' elif self.sell_custom_under_profit_4.value > current_profit > self.sell_custom_under_profit_3.value: if last_candle['rsi'] < self.sell_custom_under_rsi_3.value: return True, 'signal_profit_u_3' elif self.sell_custom_under_profit_3.value > current_profit > self.sell_custom_under_profit_2.value: if last_candle['rsi'] < self.sell_custom_under_rsi_2.value: return True, 'signal_profit_u_2' elif self.sell_custom_under_profit_2.value > current_profit > self.sell_custom_under_profit_1.value: if last_candle['rsi'] < self.sell_custom_under_rsi_1.value: return True, 'signal_profit_u_1' elif self.sell_custom_under_profit_1.value > current_profit > self.sell_custom_under_profit_0.value: if (last_candle['rsi'] < self.sell_custom_under_rsi_0.value) & (last_candle['cmf'] < 0.0): return True, 'signal_profit_u_0' return False, None def sell_pump_main(self, current_profit: float, last_candle) -> tuple: if last_candle['sell_pump_48_1_1h']: if current_profit > self.sell_custom_pump_profit_1_5.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_1_5.value: return True, 'signal_profit_p_1_5' elif self.sell_custom_pump_profit_1_5.value > current_profit > self.sell_custom_pump_profit_1_4.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_1_4.value: return True, 'signal_profit_p_1_4' elif self.sell_custom_pump_profit_1_4.value > current_profit > self.sell_custom_pump_profit_1_3.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_1_3.value: return True, 'signal_profit_p_1_3' elif self.sell_custom_pump_profit_1_3.value > current_profit > self.sell_custom_pump_profit_1_2.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_1_2.value: return True, 'signal_profit_p_1_2' elif self.sell_custom_pump_profit_1_2.value > current_profit > self.sell_custom_pump_profit_1_1.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_1_1.value: return True, 'signal_profit_p_1_1' elif last_candle['sell_pump_36_1_1h']: if current_profit > self.sell_custom_pump_profit_2_5.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_2_5.value: return True, 'signal_profit_p_2_5' elif self.sell_custom_pump_profit_2_5.value > current_profit > self.sell_custom_pump_profit_2_4.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_2_4.value: return True, 'signal_profit_p_2_4' elif self.sell_custom_pump_profit_2_4.value > current_profit > self.sell_custom_pump_profit_2_3.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_2_3.value: return True, 'signal_profit_p_2_3' elif self.sell_custom_pump_profit_2_3.value > current_profit > self.sell_custom_pump_profit_2_2.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_2_2.value: return True, 'signal_profit_p_2_2' elif self.sell_custom_pump_profit_2_2.value > current_profit > self.sell_custom_pump_profit_2_1.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_2_1.value: return True, 'signal_profit_p_2_1' elif last_candle['sell_pump_24_1_1h']: if current_profit > self.sell_custom_pump_profit_3_5.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_3_5.value: return True, 'signal_profit_p_3_5' elif self.sell_custom_pump_profit_3_5.value > current_profit > self.sell_custom_pump_profit_3_4.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_3_4.value: return True, 'signal_profit_p_3_4' elif self.sell_custom_pump_profit_3_4.value > current_profit > self.sell_custom_pump_profit_3_3.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_3_3.value: return True, 'signal_profit_p_3_3' elif self.sell_custom_pump_profit_3_3.value > current_profit > self.sell_custom_pump_profit_3_2.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_3_2.value: return True, 'signal_profit_p_3_2' elif self.sell_custom_pump_profit_3_2.value > current_profit > self.sell_custom_pump_profit_3_1.value: if last_candle['rsi'] < self.sell_custom_pump_rsi_3_1.value: return True, 'signal_profit_p_3_1' return False, None def sell_dec_main(self, current_profit: float, last_candle) -> tuple: if (self.sell_custom_dec_profit_max_1.value > current_profit > self.sell_custom_dec_profit_min_1.value) & (last_candle['sma_200_dec_20']): return True, 'signal_profit_d_1' elif (self.sell_custom_dec_profit_max_2.value > current_profit > self.sell_custom_dec_profit_min_2.value) & (last_candle['close'] < last_candle['ema_100']): return True, 'signal_profit_d_2' return False, None def sell_trail_main(self, current_profit: float, last_candle, max_profit: float) -> tuple: if (self.sell_trail_profit_max_1.value > current_profit > self.sell_trail_profit_min_1.value) & (self.sell_trail_rsi_min_1.value < last_candle['rsi'] < self.sell_trail_rsi_max_1.value) & (max_profit > (current_profit + self.sell_trail_down_1.value)) & (last_candle['moderi_96'] == False): return True, 'signal_profit_t_1' elif (self.sell_trail_profit_max_2.value > current_profit > self.sell_trail_profit_min_2.value) & (self.sell_trail_rsi_min_2.value < last_candle['rsi'] < self.sell_trail_rsi_max_2.value) & (max_profit > (current_profit + self.sell_trail_down_2.value)) & (last_candle['ema_25'] < last_candle['ema_50']): return True, 'signal_profit_t_2' elif (self.sell_trail_profit_max_3.value > current_profit > self.sell_trail_profit_min_3.value) & (max_profit > (current_profit + self.sell_trail_down_3.value)) & (last_candle['sma_200_dec_20_1h']): return True, 'signal_profit_t_3' elif (self.sell_trail_profit_max_4.value > current_profit > self.sell_trail_profit_min_4.value) & (max_profit > (current_profit + self.sell_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 sell_duration_main(self, current_profit: float, last_candle, trade: 'Trade', current_time: 'datetime') -> tuple: # Pumped pair, short duration if (last_candle['sell_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.sell_custom_long_profit_min_1.value < current_profit < self.sell_custom_long_profit_max_1.value) & (current_time - timedelta(minutes=self.sell_custom_long_duration_min_1.value) > trade.open_date_utc): return True, 'signal_profit_l_1' return False, None def sell_under_min(self, current_profit: float, last_candle) -> tuple: if ((last_candle['moderi_96']) == False): # Downtrend if (current_profit > self.sell_custom_profit_under_profit_1.value) & (last_candle['close'] < last_candle['ema_200']) & (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.sell_custom_profit_under_rel_1.value) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.sell_custom_profit_under_rsi_diff_1.value): return True, 'signal_profit_u_e_1' else: # Uptrend if (current_profit > self.sell_custom_profit_under_profit_2.value) & (last_candle['close'] < last_candle['ema_200']) & (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < self.sell_custom_profit_under_rel_2.value) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.sell_custom_profit_under_rsi_diff_2.value): return True, 'signal_profit_u_e_2' return False, None def sell_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.sell_custom_stoploss_under_rel_1.value) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.sell_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.sell_custom_stoploss_long_profit_min_1.value < current_profit < self.sell_custom_stoploss_long_profit_max_1.value) & (current_profit > (-max_loss + self.sell_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.sell_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.sell_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.sell_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.sell_custom_stoploss_pump_max_profit_2.value) & (current_profit < self.sell_custom_stoploss_pump_loss_2.value) & (last_candle['sell_pump_48_1_1h']) & (last_candle['cmf'] < 0.0) & (last_candle['sma_200_dec_20_1h']) & (last_candle['close'] < (last_candle['ema_200'] * self.sell_custom_stoploss_pump_ma_offset_2.value)): return True, 'signal_stoploss_p_2' elif (max_profit < self.sell_custom_stoploss_pump_max_profit_3.value) & (current_profit < self.sell_custom_stoploss_pump_loss_3.value) & (last_candle['sell_pump_36_3_1h']) & (last_candle['close'] < (last_candle['ema_200'] * self.sell_custom_stoploss_pump_ma_offset_3.value)): return True, 'signal_stoploss_p_3' return False, None def sell_pump_dec(self, current_profit: float, last_candle) -> tuple: if (self.sell_custom_pump_dec_profit_max_1.value > current_profit > self.sell_custom_pump_dec_profit_min_1.value) & (last_candle['sell_pump_48_1_1h']) & (last_candle['sma_200_dec_20']) & (last_candle['close'] < last_candle['ema_200']): return True, 'signal_profit_p_d_1' elif (self.sell_custom_pump_dec_profit_max_2.value > current_profit > self.sell_custom_pump_dec_profit_min_2.value) & (last_candle['sell_pump_48_2_1h']) & (last_candle['sma_200_dec_20']) & (last_candle['close'] < last_candle['ema_200']): return True, 'signal_profit_p_d_2' elif (self.sell_custom_pump_dec_profit_max_3.value > current_profit > self.sell_custom_pump_dec_profit_min_3.value) & (last_candle['sell_pump_48_3_1h']) & (last_candle['sma_200_dec_20']) & (last_candle['close'] < last_candle['ema_200']): return True, 'signal_profit_p_d_3' elif (self.sell_custom_pump_dec_profit_max_4.value > current_profit > self.sell_custom_pump_dec_profit_min_4.value) & (last_candle['sma_200_dec_20']) & (last_candle['sell_pump_24_2_1h']): return True, 'signal_profit_p_d_4' return False, None def sell_pump_extra(self, current_profit: float, last_candle, max_profit: float) -> tuple: # Pumped 48h 1, under EMA200 if (self.sell_custom_pump_under_profit_max_1.value > current_profit > self.sell_custom_pump_under_profit_min_1.value) & (last_candle['sell_pump_48_1_1h']) & (last_candle['close'] < last_candle['ema_200']): return True, 'signal_profit_p_u_1' # Pumped 36h 2, trail 1 elif (last_candle['sell_pump_36_2_1h']) & (self.sell_custom_pump_trail_profit_max_1.value > current_profit > self.sell_custom_pump_trail_profit_min_1.value) & (self.sell_custom_pump_trail_rsi_min_1.value < last_candle['rsi'] < self.sell_custom_pump_trail_rsi_max_1.value) & (max_profit > (current_profit + self.sell_custom_pump_trail_down_1.value)): return True, 'signal_profit_p_t_1' return False, None def sell_recover(self, current_profit: float, last_candle, max_loss: float) -> tuple: if (max_loss > self.sell_custom_recover_min_loss_1.value) & (current_profit > self.sell_custom_recover_profit_1.value): return True, 'signal_profit_r_1' elif (max_loss > self.sell_custom_recover_min_loss_2.value) & (self.sell_custom_recover_profit_max_2.value > current_profit > self.sell_custom_recover_profit_min_2.value) & (last_candle['rsi'] < self.sell_custom_recover_rsi_2.value) & (last_candle['ema_25'] < last_candle['ema_50']): return True, 'signal_profit_r_2' return False, None def sell_r_1(self, current_profit: float, last_candle) -> tuple: if 0.02 > current_profit > 0.012: if last_candle['r_480'] > -2.0: return True, 'signal_profit_w_1_1' elif 0.03 > current_profit > 0.02: if last_candle['r_480'] > -2.1: return True, 'signal_profit_w_1_2' elif 0.04 > current_profit > 0.03: if last_candle['r_480'] > -2.2: return True, 'signal_profit_w_1_3' elif 0.05 > current_profit > 0.04: if last_candle['r_480'] > -2.3: return True, 'signal_profit_w_1_4' elif 0.06 > current_profit > 0.05: if last_candle['r_480'] > -2.4: return True, 'signal_profit_w_1_5' elif 0.07 > current_profit > 0.06: if last_candle['r_480'] > -2.5: ### return True, 'signal_profit_w_1_6' elif 0.08 > current_profit > 0.07: if last_candle['r_480'] > -2.6: return True, 'signal_profit_w_1_7' elif 0.09 > current_profit > 0.08: if last_candle['r_480'] > -5.5: return True, 'signal_profit_w_1_8' elif 0.1 > current_profit > 0.09: if last_candle['r_480'] > -3.0: return True, 'signal_profit_w_1_9' elif 0.12 > current_profit > 0.1: if last_candle['r_480'] > -8.0: return True, 'signal_profit_w_1_10' elif 0.2 > current_profit > 0.12: if (last_candle['r_480'] > -2.0) & (last_candle['rsi'] > 78.0): return True, 'signal_profit_w_1_11' elif current_profit > 0.2: if (last_candle['r_480'] > -1.5) & (last_candle['rsi'] > 80.0): return True, 'signal_profit_w_1_12' return False, None def sell_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 sell_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 sell_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'] > -4.0) & (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'] > -5.0) & (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'] > -6.0) & (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'] > -5.0) & (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'] > -4.0) & (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'] > -3.0) & (last_candle['rsi'] > 80.0) & (last_candle['cti'] > 0.9): return True, 'signal_profit_w_4_12' return False, None def sell_quick_mode(self, current_profit: float, max_profit:float, last_candle, secondlast_candle, buy_signal_candle) -> tuple: if (buy_signal_candle['buy_condition_32'] == 1) or (buy_signal_candle['buy_condition_33'] == 1) or (buy_signal_candle['buy_condition_34'] == 1): 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 (buy_signal_candle['buy_condition_35'] == 1) or (buy_signal_candle['buy_condition_36'] == 1) or (buy_signal_candle['buy_condition_37'] == 1) or (buy_signal_candle['buy_condition_38'] == 1): if (last_candle['close'] < last_candle[f'atr_high{self.atr_rolling_length.value}']) & (last_candle['close'] > last_candle[f'atr_high{self.atr_rolling_length.value}']): return True, 'ATR_stoploss' if (current_profit > 0.0): if (( (last_candle[f'pm_{pmaxperiod}_{self.pmaxmultiplier.value}_{self.pmaxlength.value}_{pmaxtype}'] <= last_candle[f'mavalue{self.pmaxlength.value}']) & ((last_candle['close'] > last_candle[f'{self.ma_type_index_4.value}_ma_sell_bullish{self.base_nb_candles_bullish_sell.value}']* self.high_offset_bullish.value)) ) or ( (last_candle[f'pm_{pmaxperiod}_{self.pmaxmultiplier.value}_{self.pmaxlength.value}_{pmaxtype}'] > last_candle[f'mavalue{self.pmaxlength.value}']) & ((last_candle['close'] > last_candle[f'{self.ma_type_index_5.value}_ma_sell_bearish{self.base_nb_candles_bearish_sell.value}']* self.high_offset_bearish.value)) )): return True, 'offset_sell' if (last_candle['tsi_s'] <= last_candle['tsi_ema_s']) & (secondlast_candle['tsi_s'] > secondlast_candle['tsi_ema_s']) & (current_profit > 0.01): return 'TSI_sell' if (current_profit >= 0.005) & (last_candle[f'pm_{pmaxperiod}_{self.pmaxmultiplier.value}_{self.pmaxlength.value}_{pmaxtype}'] > last_candle[f'mavalue{self.pmaxlength.value}']): if (last_candle['tsi_f'] <= last_candle['tsi_ema_f']) & (secondlast_candle['tsi_f'] > secondlast_candle['tsi_ema_f']): return True, 'TSI_dn_sell' return False, None def custom_sell(self, pair: str, trade: 'Trade', current_time: 'datetime', current_rate: float, current_profit: float, **kwargs): dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) last_candle = dataframe.iloc[-1].squeeze() 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() secondlast_candle = previous_candle_1 trade_open_date = timeframe_to_prev_date(self.timeframe, trade.open_date_utc) buy_signal = dataframe.loc[dataframe['date'] < trade_open_date] if not buy_signal.empty: buy_signal_candle = buy_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 sell mode if not buy_signal.empty: sell, signal_name = self.sell_quick_mode(current_profit, max_profit, last_candle, secondlast_candle, buy_signal_candle) if sell and (signal_name is not None): return signal_name # Over EMA200, main profit targets sell, signal_name = self.sell_over_main(current_profit, last_candle) if sell and (signal_name is not None): return signal_name # Under EMA200, main profit targets sell, signal_name = self.sell_under_main(current_profit, last_candle) if sell and (signal_name is not None): return signal_name # The pair is pumped sell, signal_name = self.sell_pump_main(current_profit, last_candle) if sell and (signal_name is not None): return signal_name # The pair is descending sell, signal_name = self.sell_dec_main(current_profit, last_candle) if sell and (signal_name is not None): return signal_name # Trailing sell, signal_name = self.sell_trail_main(current_profit, last_candle, max_profit) if sell and (signal_name is not None): return signal_name # Duration based sell, signal_name = self.sell_duration_main(current_profit, last_candle, trade, current_time) if sell and (signal_name is not None): return signal_name # Under EMA200, exit with any profit sell, signal_name = self.sell_under_min(current_profit, last_candle) if sell and (signal_name is not None): return signal_name # Stoplosses sell, signal_name = self.sell_stoploss(current_profit, last_candle, trade, current_time, max_loss, max_profit) if sell and (signal_name is not None): return signal_name # Pumped descending pairs sell, signal_name = self.sell_pump_dec(current_profit, last_candle) if sell and (signal_name is not None): return signal_name # Extra sells for pumped pairs sell, signal_name = self.sell_pump_extra(current_profit, last_candle, max_profit) if sell and (signal_name is not None): return signal_name # Extra sells for trades that recovered sell, signal_name = self.sell_recover(current_profit, last_candle, max_loss) if sell and (signal_name is not None): return signal_name # Williams %R based sell 1 sell, signal_name = self.sell_r_1(current_profit, last_candle) if sell and (signal_name is not None): return signal_name # Williams %R based sell 2 sell, signal_name = self.sell_r_2(current_profit, last_candle) if sell and (signal_name is not None): return signal_name # Williams %R based sell 3 sell, signal_name = self.sell_r_3(current_profit, last_candle) if sell and (signal_name is not None): return signal_name # Williams %R based sell 4, plus CTI sell, signal_name = self.sell_r_4(current_profit, last_candle) if (sell) and (signal_name is not None): return signal_name # Sell signal 1 if self.sell_condition_1_enable.value & (last_candle['rsi'] > self.sell_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 'sell_signal_1_1_1' elif (max_loss > 0.1): return 'sell_signal_1_1_2' else: return 'sell_signal_1_2' # Sell signal 2 elif (self.sell_condition_2_enable.value) & (last_candle['rsi'] > self.sell_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 'sell_signal_2_1_1' elif (max_loss > 0.07): return 'sell_signal_2_1_2' else: return 'sell_signal_2_2' # Sell signal 4 elif self.sell_condition_4_enable.value & (last_candle['rsi'] > self.sell_dual_rsi_rsi_4.value) & (last_candle['rsi_1h'] > self.sell_dual_rsi_rsi_1h_4.value): return 'sell_signal_4' # Sell signal 6 elif self.sell_condition_6_enable.value & (last_candle['close'] < last_candle['ema_200']) & (last_candle['close'] > last_candle['ema_50']) & (last_candle['rsi'] > self.sell_rsi_under_6.value): return 'sell_signal_6' # Sell signal 7 elif self.sell_condition_7_enable.value & (last_candle['rsi_1h'] > self.sell_rsi_1h_7.value) & (last_candle['crossed_below_ema_12_26']): return 'sell_signal_7' # Sell signal 8 elif self.sell_condition_8_enable.value & (last_candle['close'] > last_candle['bb20_2_upp_1h'] * self.sell_bb_relative_8.value): return 'sell_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.buy_pump_threshold_10_24.value, self.buy_pump_pull_threshold_10_24.value) informative_1h['safe_pump_36_10'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_10_36.value, self.buy_pump_pull_threshold_10_36.value) informative_1h['safe_pump_48_10'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_10_48.value, self.buy_pump_pull_threshold_10_48.value) informative_1h['safe_pump_24_20'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_20_24.value, self.buy_pump_pull_threshold_20_24.value) informative_1h['safe_pump_36_20'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_20_36.value, self.buy_pump_pull_threshold_20_36.value) informative_1h['safe_pump_48_20'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_20_48.value, self.buy_pump_pull_threshold_20_48.value) informative_1h['safe_pump_24_30'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_30_24.value, self.buy_pump_pull_threshold_30_24.value) informative_1h['safe_pump_36_30'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_30_36.value, self.buy_pump_pull_threshold_30_36.value) informative_1h['safe_pump_48_30'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_30_48.value, self.buy_pump_pull_threshold_30_48.value) informative_1h['safe_pump_24_40'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_40_24.value, self.buy_pump_pull_threshold_40_24.value) informative_1h['safe_pump_36_40'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_40_36.value, self.buy_pump_pull_threshold_40_36.value) informative_1h['safe_pump_48_40'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_40_48.value, self.buy_pump_pull_threshold_40_48.value) informative_1h['safe_pump_24_50'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_50_24.value, self.buy_pump_pull_threshold_50_24.value) informative_1h['safe_pump_36_50'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_50_36.value, self.buy_pump_pull_threshold_50_36.value) informative_1h['safe_pump_48_50'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_50_48.value, self.buy_pump_pull_threshold_50_48.value) informative_1h['safe_pump_24_60'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_60_24.value, self.buy_pump_pull_threshold_60_24.value) informative_1h['safe_pump_36_60'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_60_36.value, self.buy_pump_pull_threshold_60_36.value) informative_1h['safe_pump_48_60'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_60_48.value, self.buy_pump_pull_threshold_60_48.value) informative_1h['safe_pump_24_70'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_70_24.value, self.buy_pump_pull_threshold_70_24.value) informative_1h['safe_pump_36_70'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_70_36.value, self.buy_pump_pull_threshold_70_36.value) informative_1h['safe_pump_48_70'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_70_48.value, self.buy_pump_pull_threshold_70_48.value) informative_1h['safe_pump_24_80'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_80_24.value, self.buy_pump_pull_threshold_80_24.value) informative_1h['safe_pump_36_80'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_80_36.value, self.buy_pump_pull_threshold_80_36.value) informative_1h['safe_pump_48_80'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_80_48.value, self.buy_pump_pull_threshold_80_48.value) informative_1h['safe_pump_24_90'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_90_24.value, self.buy_pump_pull_threshold_90_24.value) informative_1h['safe_pump_36_90'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_90_36.value, self.buy_pump_pull_threshold_90_36.value) informative_1h['safe_pump_48_90'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_90_48.value, self.buy_pump_pull_threshold_90_48.value) informative_1h['safe_pump_24_100'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_100_24.value, self.buy_pump_pull_threshold_100_24.value) informative_1h['safe_pump_36_100'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_100_36.value, self.buy_pump_pull_threshold_100_36.value) informative_1h['safe_pump_48_100'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_100_48.value, self.buy_pump_pull_threshold_100_48.value) informative_1h['safe_pump_24_110'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_110_24.value, self.buy_pump_pull_threshold_110_24.value) informative_1h['safe_pump_36_110'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_110_36.value, self.buy_pump_pull_threshold_110_36.value) informative_1h['safe_pump_48_110'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_110_48.value, self.buy_pump_pull_threshold_110_48.value) informative_1h['safe_pump_24_120'] = self.safe_pump(informative_1h, 24, self.buy_pump_threshold_120_24.value, self.buy_pump_pull_threshold_120_24.value) informative_1h['safe_pump_36_120'] = self.safe_pump(informative_1h, 36, self.buy_pump_threshold_120_36.value, self.buy_pump_pull_threshold_120_36.value) informative_1h['safe_pump_48_120'] = self.safe_pump(informative_1h, 48, self.buy_pump_threshold_120_48.value, self.buy_pump_pull_threshold_120_48.value) informative_1h['safe_dump_10'] = ((informative_1h['hl_pct_change_5'] < self.buy_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.buy_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.buy_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.buy_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.buy_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.buy_dump_protection_60_5.value) | (informative_1h['close'] < informative_1h['low_5']) | (informative_1h['close'] > informative_1h['open'])) informative_1h['sell_pump_48_1'] = (informative_1h['hl_pct_change_48'] > self.sell_pump_threshold_48_1.value) informative_1h['sell_pump_48_2'] = (informative_1h['hl_pct_change_48'] > self.sell_pump_threshold_48_2.value) informative_1h['sell_pump_48_3'] = (informative_1h['hl_pct_change_48'] > self.sell_pump_threshold_48_3.value) informative_1h['sell_pump_36_1'] = (informative_1h['hl_pct_change_36'] > self.sell_pump_threshold_36_1.value) informative_1h['sell_pump_36_2'] = (informative_1h['hl_pct_change_36'] > self.sell_pump_threshold_36_2.value) informative_1h['sell_pump_36_3'] = (informative_1h['hl_pct_change_36'] > self.sell_pump_threshold_36_3.value) informative_1h['sell_pump_24_1'] = (informative_1h['hl_pct_change_24'] > self.sell_pump_threshold_24_1.value) informative_1h['sell_pump_24_2'] = (informative_1h['hl_pct_change_24'] > self.sell_pump_threshold_24_2.value) informative_1h['sell_pump_24_3'] = (informative_1h['hl_pct_change_24'] > self.sell_pump_threshold_24_3.value) return informative_1h def normal_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: #PMAX heikinashi = qtpylib.heikinashi(dataframe) heikinashi["volume"] = dataframe["volume"] dataframe['source'] = (dataframe['high'] + dataframe['low'] + dataframe['open'] + dataframe['close'])/4 for mult in self.pmaxmultiplier.range: for leng in self.pmaxlength.range: pmdf = PMAX(heikinashi, MAtype=pmaxtype, length=leng, multiplier=mult, period=pmaxperiod, src=3) dataframe[f'pm_{pmaxperiod}_{mult}_{leng}_{pmaxtype}'] = pmdf[f'pm_{pmaxperiod}_{mult}_{leng}_{pmaxtype}'] dataframe[f'mavalue{leng}'] = ta.EMA(dataframe['source'], timeperiod=leng) for mval in self.ma_type_index_1.range: for val in self.base_nb_candles_bullish_buy.range: dataframe[f'{mval}_ma_buy_bullish{val}'] = ma_types[list(ma_types)[mval]](dataframe, timeperiod=val) for mval in self.ma_type_index_2.range: for val in self.base_nb_candles_bearish_buy.range: dataframe[f'{mval}_ma_buy_bearish{val}'] = ma_types[list(ma_types)[mval]](dataframe, timeperiod=val) for mval in self.ma_type_index_4.range: for val in self.base_nb_candles_bullish_sell.range: dataframe[f'{mval}_ma_sell_bullish{val}'] = ma_types[list(ma_types)[mval]](dataframe, timeperiod=val) for mval in self.ma_type_index_5.range: for val in self.base_nb_candles_bearish_sell.range: dataframe[f'{mval}_ma_sell_bearish{val}'] = ma_types[list(ma_types)[mval]](dataframe, timeperiod=val) dataframe['tsi_s'] = tsi(dataframe, window_slow=20, window_fast=5) dataframe['tsi_ema_s'] = ta.EMA(dataframe['tsi_s'], timeperiod=5) dataframe['tsi_f'] = tsi(dataframe, window_slow=4, window_fast=2) dataframe['tsi_ema_f'] = ta.EMA(dataframe['tsi_f'], timeperiod=2) # dataframe['adx'] = ta.ADX(dataframe) # RSI dataframe['rsi14'] = ta.RSI(dataframe, timeperiod=14) #ATR dataframe['atr'] = ta.ATR(dataframe, timeperiod=14) for i in self.atr_rolling_length.range: dataframe[f'atr_high{i}'] = (dataframe['high'] - (dataframe['atr'] * self.atr_multiplier.value)).rolling(i).max() dataframe['ema_atr'] = ta.EMA(dataframe['atr'], timeperiod=14) # 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'] = 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) # hull dataframe['hull_75'] = hull(dataframe, 75) # zlema dataframe['zlema_68'] = zlema(dataframe, 68) # CTI dataframe['cti'] = pta.cti(dataframe["close"], length=20) # For sell checks dataframe['crossed_below_ema_12_26'] = qtpylib.crossed_below(dataframe['ema_12'], dataframe['ema_26']) # 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.buy_dip_threshold_10_1.value, self.buy_dip_threshold_10_2.value, self.buy_dip_threshold_10_3.value, self.buy_dip_threshold_10_4.value) dataframe['safe_dips_20'] = self.safe_dips(dataframe, self.buy_dip_threshold_20_1.value, self.buy_dip_threshold_20_2.value, self.buy_dip_threshold_20_3.value, self.buy_dip_threshold_20_4.value) dataframe['safe_dips_30'] = self.safe_dips(dataframe, self.buy_dip_threshold_30_1.value, self.buy_dip_threshold_30_2.value, self.buy_dip_threshold_30_3.value, self.buy_dip_threshold_30_4.value) dataframe['safe_dips_40'] = self.safe_dips(dataframe, self.buy_dip_threshold_40_1.value, self.buy_dip_threshold_40_2.value, self.buy_dip_threshold_40_3.value, self.buy_dip_threshold_40_4.value) dataframe['safe_dips_50'] = self.safe_dips(dataframe, self.buy_dip_threshold_50_1.value, self.buy_dip_threshold_50_2.value, self.buy_dip_threshold_50_3.value, self.buy_dip_threshold_50_4.value) dataframe['safe_dips_60'] = self.safe_dips(dataframe, self.buy_dip_threshold_60_1.value, self.buy_dip_threshold_60_2.value, self.buy_dip_threshold_60_3.value, self.buy_dip_threshold_60_4.value) dataframe['safe_dips_70'] = self.safe_dips(dataframe, self.buy_dip_threshold_70_1.value, self.buy_dip_threshold_70_2.value, self.buy_dip_threshold_70_3.value, self.buy_dip_threshold_70_4.value) dataframe['safe_dips_80'] = self.safe_dips(dataframe, self.buy_dip_threshold_80_1.value, self.buy_dip_threshold_80_2.value, self.buy_dip_threshold_80_3.value, self.buy_dip_threshold_80_4.value) dataframe['safe_dips_90'] = self.safe_dips(dataframe, self.buy_dip_threshold_90_1.value, self.buy_dip_threshold_90_2.value, self.buy_dip_threshold_90_3.value, self.buy_dip_threshold_90_4.value) dataframe['safe_dips_100'] = self.safe_dips(dataframe, self.buy_dip_threshold_100_1.value, self.buy_dip_threshold_100_2.value, self.buy_dip_threshold_100_3.value, self.buy_dip_threshold_100_4.value) dataframe['safe_dips_110'] = self.safe_dips(dataframe, self.buy_dip_threshold_110_1.value, self.buy_dip_threshold_110_2.value, self.buy_dip_threshold_110_3.value, self.buy_dip_threshold_110_4.value) dataframe['safe_dips_120'] = self.safe_dips(dataframe, self.buy_dip_threshold_120_1.value, self.buy_dip_threshold_120_2.value, self.buy_dip_threshold_120_3.value, self.buy_dip_threshold_120_4.value) dataframe['safe_dips_130'] = self.safe_dips(dataframe, self.buy_dip_threshold_130_1.value, self.buy_dip_threshold_130_2.value, self.buy_dip_threshold_130_3.value, self.buy_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() return dataframe 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) ''' --> Informative timeframe ___________________________________________________________________________________________ ''' 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) ''' --> Resampled to another timeframe ___________________________________________________________________________________________ ''' 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) ''' --> The indicators for the normal (5m) timeframe ___________________________________________________________________________________________ ''' dataframe = self.normal_tf_indicators(dataframe, metadata) return dataframe def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: conditions = [] buy_protection_list = [] if self.config['runmode'].value in ('live', 'dry_run'): not_empty_volume = dataframe['volume'].rolling(window=72, min_periods=72).count().notna() else: not_empty_volume = dataframe['volume'].rolling(window=self.startup_candle_count, min_periods=self.startup_candle_count).count().notna() # Protections [STANDARD] - Common to every condition for index in self.buy_protection_params: item_buy_protection_list = [True] global_buy_protection_params = self.buy_protection_params[index] if global_buy_protection_params["ema_fast"].value: item_buy_protection_list.append(dataframe[f"ema_{global_buy_protection_params['ema_fast_len'].value}"] > dataframe['ema_200']) if global_buy_protection_params["ema_slow"].value: item_buy_protection_list.append(dataframe[f"ema_{global_buy_protection_params['ema_slow_len'].value}_1h"] > dataframe['ema_200_1h']) if global_buy_protection_params["close_above_ema_fast"].value: item_buy_protection_list.append(dataframe['close'] > dataframe[f"ema_{global_buy_protection_params['close_above_ema_fast_len'].value}"]) if global_buy_protection_params["close_above_ema_slow"].value: item_buy_protection_list.append(dataframe['close'] > dataframe[f"ema_{global_buy_protection_params['close_above_ema_slow_len'].value}_1h"]) if global_buy_protection_params["sma200_rising"].value: item_buy_protection_list.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(global_buy_protection_params['sma200_rising_val'].value))) if global_buy_protection_params["sma200_1h_rising"].value: item_buy_protection_list.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(global_buy_protection_params['sma200_1h_rising_val'].value))) if global_buy_protection_params["safe_dips"].value: item_buy_protection_list.append(dataframe[f"safe_dips_{global_buy_protection_params['safe_dips_type'].value}"]) if global_buy_protection_params["safe_pump"].value: item_buy_protection_list.append(dataframe[f"safe_pump_{global_buy_protection_params['safe_pump_period'].value}_{global_buy_protection_params['safe_pump_type'].value}_1h"]) if global_buy_protection_params['btc_1h_not_downtrend'].value: item_buy_protection_list.append(dataframe['btc_not_downtrend_1h']) item_buy_protection_list.append(not_empty_volume) buy_protection_list.append(item_buy_protection_list) # Buy Condition #1 dataframe.loc[ :, 'buy_condition_1' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_1_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[0])) item_buy_logic.append(((dataframe['close'] - dataframe['open'].rolling(36).min()) / dataframe['open'].rolling(36).min()) > self.buy_min_inc_1.value) item_buy_logic.append(((dataframe['close'] - dataframe['open'].rolling(36).min()) / dataframe['open'].rolling(36).min()) > self.buy_min_inc_1.value) item_buy_logic.append(dataframe['rsi_1h'] > self.buy_rsi_1h_min_1.value) item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_max_1.value) item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_1.value) item_buy_logic.append(dataframe['mfi'] < self.buy_mfi_1.value) item_buy_logic.append(dataframe['cti'] < self.buy_cti_1.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_1' ] = 1 conditions.append(item_buy) # Buy Condition #2 dataframe.loc[ :, 'buy_condition_2' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_2_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[1])) item_buy_logic.append(dataframe['rsi'] < dataframe['rsi_1h'] - self.buy_rsi_1h_diff_2.value) item_buy_logic.append(dataframe['mfi'] < self.buy_mfi_2.value) item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * self.buy_bb_offset_2.value)) item_buy_logic.append(dataframe['volume'] < (dataframe['volume_mean_4'] * self.buy_volume_2.value)) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_2' ] = 1 conditions.append(item_buy) # Buy Condition #3 dataframe.loc[ :, 'buy_condition_3' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_3_enable']: # Non-Standard protections (add below) buy_protection_list[2].append(dataframe['close'] > (dataframe['ema_200_1h'] * self.buy_ema_rel_3.value)) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[2])) item_buy_logic.append(dataframe['bb40_2_low'].shift().gt(0)) item_buy_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * self.buy_bb40_bbdelta_close_3.value)) item_buy_logic.append(dataframe['closedelta'].gt(dataframe['close'] * self.buy_bb40_closedelta_close_3.value)) item_buy_logic.append(dataframe['tail'].lt(dataframe['bb40_2_delta'] * self.buy_bb40_tail_bbdelta_3.value)) item_buy_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift())) item_buy_logic.append(dataframe['close'].le(dataframe['close'].shift())) item_buy_logic.append(dataframe['cti'] < self.buy_cti_3.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_3' ] = 1 conditions.append(item_buy) # Buy Condition #4 dataframe.loc[ :, 'buy_condition_4' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_4_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[3])) item_buy_logic.append(dataframe['close'] < dataframe['ema_50']) item_buy_logic.append(dataframe['close'] < self.buy_bb20_close_bblowerband_4.value * dataframe['bb20_2_low']) item_buy_logic.append(dataframe['volume'] < (dataframe['volume_mean_30'].shift(1) * self.buy_bb20_volume_4.value)) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_4' ] = 1 conditions.append(item_buy) # Buy Condition #5 dataframe.loc[ :, 'buy_condition_5' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_5_enable']: # Non-Standard protections (add below) buy_protection_list[4].append(dataframe['close'] > (dataframe['ema_200_1h'] * self.buy_ema_rel_5.value)) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[4])) item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_5.value)) item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * self.buy_bb_offset_5.value)) item_buy_logic.append(dataframe['cti'] < self.buy_cti_5.value) item_buy_logic.append(dataframe['volume'] < (dataframe['volume_mean_4'] * self.buy_volume_5.value)) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_5' ] = 1 conditions.append(item_buy) # Buy Condition #6 dataframe.loc[ :, 'buy_condition_6' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_6_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[5])) item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_6.value)) item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * self.buy_bb_offset_6.value)) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_6' ] = 1 conditions.append(item_buy) # Buy Condition #7 dataframe.loc[ :, 'buy_condition_7' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_7_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[6])) item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_7.value)) item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) item_buy_logic.append(dataframe['cti'] < self.buy_cti_7.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_7' ] = 1 conditions.append(item_buy) # Buy Condition #8 dataframe.loc[ :, 'buy_condition_8' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_8_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[7])) item_buy_logic.append(dataframe['moderi_32']) item_buy_logic.append(dataframe['moderi_64']) item_buy_logic.append(dataframe['moderi_96']) item_buy_logic.append(dataframe['cti'] < self.buy_cti_8.value) item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_8.value) item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_8.value) item_buy_logic.append(dataframe['volume'] < (dataframe['volume_mean_4'] * self.buy_volume_8.value)) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_8' ] = 1 conditions.append(item_buy) # Buy Condition #9 dataframe.loc[ :, 'buy_condition_9' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_9_enable']: # Non-Standard protections (add below) buy_protection_list[8].append(dataframe['ema_50'] > dataframe['ema_200']) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[8])) item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_9.value) item_buy_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.buy_bb_offset_9.value) item_buy_logic.append(dataframe['rsi_1h'] > self.buy_rsi_1h_min_9.value) item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_max_9.value) item_buy_logic.append(dataframe['mfi'] < self.buy_mfi_9.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_9' ] = 1 conditions.append(item_buy) # Buy Condition #10 dataframe.loc[ :, 'buy_condition_10' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_10_enable']: # Non-Standard protections (add below) buy_protection_list[9].append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[9])) item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_10.value) item_buy_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.buy_bb_offset_10.value) item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_10.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_10' ] = 1 conditions.append(item_buy) # Buy Condition #11 dataframe.loc[ :, 'buy_condition_11' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_11_enable']: # Non-Standard protections (add below) buy_protection_list[10].append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) buy_protection_list[10].append(dataframe['safe_pump_36_50_1h']) buy_protection_list[10].append(dataframe['safe_pump_48_100_1h']) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[10])) item_buy_logic.append(((dataframe['close'] - dataframe['open'].rolling(36).min()) / dataframe['open'].rolling(36).min()) > self.buy_min_inc_11.value) item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_11.value) item_buy_logic.append(dataframe['rsi_1h'] > self.buy_rsi_1h_min_11.value) item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_max_11.value) item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_11.value) item_buy_logic.append(dataframe['mfi'] < self.buy_mfi_11.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_11' ] = 1 conditions.append(item_buy) # Buy Condition #12 dataframe.loc[ :, 'buy_condition_12' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_12_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[11])) item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_12.value) item_buy_logic.append(dataframe['ewo'] > self.buy_ewo_12.value) item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_12.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_12' ] = 1 conditions.append(item_buy) # Buy Condition #13 dataframe.loc[ :, 'buy_condition_13' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_13_enable']: # Non-Standard protections (add below) buy_protection_list[12].append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) # buy_13_protections.append(dataframe['safe_pump_36_loose_1h']) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[12])) item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_13.value) item_buy_logic.append(dataframe['ewo'] < self.buy_ewo_13.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_13' ] = 1 conditions.append(item_buy) # Buy Condition #14 dataframe.loc[ :, 'buy_condition_14' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_14_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[13])) item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_14.value)) item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * self.buy_bb_offset_14.value)) item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_14.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_14' ] = 1 conditions.append(item_buy) # Buy Condition #15 dataframe.loc[ :, 'buy_condition_15' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_15_enable']: # Non-Standard protections (add below) buy_protection_list[14].append(dataframe['close'] > dataframe['ema_200_1h'] * self.buy_ema_rel_15.value) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[14])) item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * self.buy_ema_open_mult_15.value)) item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_15.value) item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_15.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_15' ] = 1 conditions.append(item_buy) # Buy Condition #16 dataframe.loc[ :, 'buy_condition_16' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_16_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[15])) item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_16.value) item_buy_logic.append(dataframe['ewo'] > self.buy_ewo_16.value) item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_16.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_16' ] = 1 conditions.append(item_buy) # Buy Condition #17 dataframe.loc[ :, 'buy_condition_17' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_17_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[16])) item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * self.buy_ma_offset_17.value) item_buy_logic.append(dataframe['ewo'] < self.buy_ewo_17.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_17' ] = 1 conditions.append(item_buy) # Buy Condition #18 dataframe.loc[ :, 'buy_condition_18' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_18_enable']: # Non-Standard protections (add below) # buy_18_protections.append(dataframe['ema_100'] > dataframe['ema_200']) buy_protection_list[17].append(dataframe['sma_200'] > dataframe['sma_200'].shift(20)) buy_protection_list[17].append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(36)) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[17])) item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_18.value) item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * self.buy_bb_offset_18.value)) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_18' ] = 1 conditions.append(item_buy) # Buy Condition #19 dataframe.loc[ :, 'buy_condition_19' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_19_enable']: # Non-Standard protections (add below) buy_protection_list[18].append(dataframe['ema_50_1h'] > dataframe['ema_200_1h']) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[18])) item_buy_logic.append(dataframe['close'].shift(1) > dataframe['ema_100_1h']) item_buy_logic.append(dataframe['low'] < dataframe['ema_100_1h']) item_buy_logic.append(dataframe['close'] > dataframe['ema_100_1h']) item_buy_logic.append(dataframe['rsi_1h'] > self.buy_rsi_1h_min_19.value) item_buy_logic.append(dataframe['chop'] < self.buy_chop_min_19.value) item_buy_logic.append(dataframe['moderi_64'] == True) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_19' ] = 1 conditions.append(item_buy) # Buy Condition #20 dataframe.loc[ :, 'buy_condition_20' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_20_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[19])) item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_20.value) item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_20.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_20' ] = 1 conditions.append(item_buy) # Buy Condition #21 dataframe.loc[ :, 'buy_condition_21' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_21_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[20])) item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_21.value) item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_21.value) item_buy_logic.append(dataframe['cti'] < self.buy_cti_21.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_21' ] = 1 conditions.append(item_buy) # Buy Condition #22 dataframe.loc[ :, 'buy_condition_22' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_22_enable']: # Non-Standard protections (add below) buy_protection_list[21].append(dataframe['ema_100_1h'] > dataframe['ema_100_1h'].shift(12)) buy_protection_list[21].append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(36)) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[21])) item_buy_logic.append((dataframe['volume_mean_4'] * self.buy_volume_22.value) > dataframe['volume']) item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * self.buy_ma_offset_22.value) item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * self.buy_bb_offset_22.value)) item_buy_logic.append(dataframe['ewo'] > self.buy_ewo_22.value) item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_22.value) item_buy_logic.append(dataframe['safe_dump_20_1h']) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_22' ] = 1 conditions.append(item_buy) # Buy Condition #23 dataframe.loc[ :, 'buy_condition_23' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_23_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[22])) item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * self.buy_bb_offset_23.value)) item_buy_logic.append(dataframe['ewo'] > self.buy_ewo_23.value) item_buy_logic.append(dataframe['rsi'] < self.buy_rsi_23.value) item_buy_logic.append(dataframe['rsi_1h'] < self.buy_rsi_1h_23.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_23' ] = 1 conditions.append(item_buy) # Buy Condition #24 dataframe.loc[ :, 'buy_condition_24' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_24_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[23])) item_buy_logic.append(dataframe['ema_12_1h'].shift(12) < dataframe['ema_35_1h'].shift(12)) item_buy_logic.append(dataframe['ema_12_1h'].shift(12) < dataframe['ema_35_1h'].shift(12)) item_buy_logic.append(dataframe['ema_12_1h'] > dataframe['ema_35_1h']) item_buy_logic.append(dataframe['cmf_1h'].shift(12) < 0) item_buy_logic.append(dataframe['cmf_1h'] > 0) item_buy_logic.append(dataframe['rsi'] < self.buy_24_rsi_max.value) item_buy_logic.append(dataframe['rsi_1h'] > self.buy_24_rsi_1h_min.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_24' ] = 1 conditions.append(item_buy) # Buy Condition #25 dataframe.loc[ :, 'buy_condition_25' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_25_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[24])) item_buy_logic.append(dataframe['rsi_20'] < dataframe['rsi_20'].shift()) item_buy_logic.append(dataframe['rsi_4'] < self.buy_25_rsi_14.value) item_buy_logic.append(dataframe['ema_20_1h'] > dataframe['ema_26_1h']) item_buy_logic.append(dataframe['close'] < (dataframe['sma_20'] * self.buy_25_ma_offset.value)) item_buy_logic.append(dataframe['open'] > (dataframe['sma_20'] * self.buy_25_ma_offset.value)) item_buy_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_buy_logic.append(dataframe['cti'] < -0.6) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_25' ] = 1 conditions.append(item_buy) # Buy Condition #26 dataframe.loc[ :, 'buy_condition_26' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_26_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[25])) item_buy_logic.append(dataframe['close'] < (dataframe['zema'] * self.buy_26_zema_low_offset.value)) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_26' ] = 1 conditions.append(item_buy) # Buy Condition #27 dataframe.loc[ :, 'buy_condition_27' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_27_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[26])) item_buy_logic.append(dataframe['r_480'] < -self.buy_27_wr_max.value) item_buy_logic.append(dataframe['r_480_1h'] < -self.buy_27_wr_1h_max.value) item_buy_logic.append(dataframe['rsi_1h'] + dataframe['rsi'] < self.buy_27_rsi_max.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_27' ] = 1 conditions.append(item_buy) # Buy Condition #28 dataframe.loc[ :, 'buy_condition_28' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_28_enable']: # Non-Standard protections (add below) # Logic item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[27])) item_buy_logic.append(dataframe['moderi_64'] == True) item_buy_logic.append(dataframe['close'] < dataframe['hull_75'] * 0.92) item_buy_logic.append(dataframe['ewo'] > 12.4) item_buy_logic.append(dataframe['rsi'] < 38.0) item_buy_logic.append(dataframe['cti'] < -0.6) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_28' ] = 1 conditions.append(item_buy) # Buy Condition #29 dataframe.loc[ :, 'buy_condition_29' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_29_enable']: # Non-Standard protections (add below) item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[28])) item_buy_logic.append(dataframe['moderi_64'] == True) item_buy_logic.append(dataframe['close'] < dataframe['hull_75'] * 0.9) item_buy_logic.append(dataframe['ewo'] < -4.0) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_29' ] = 1 conditions.append(item_buy) # Buy Condition #30 dataframe.loc[ :, 'buy_condition_30' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_30_enable']: # Non-Standard protections (add below) item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[29])) item_buy_logic.append(dataframe['moderi_64'] == False) item_buy_logic.append(dataframe['close'] < dataframe['zlema_68'] * 0.97) item_buy_logic.append(dataframe['ewo'] > 9.0) item_buy_logic.append(dataframe['rsi'] < 42.0) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_30' ] = 1 conditions.append(item_buy) # Buy Condition #31 dataframe.loc[ :, 'buy_condition_31' ] = 0 # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_31_enable']: # Non-Standard protections (add below) item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[30])) item_buy_logic.append(dataframe['moderi_64'] == False) item_buy_logic.append(dataframe['close'] < dataframe['zlema_68'] * 0.94) item_buy_logic.append(dataframe['ewo'] < -19.0) item_buy_logic.append(dataframe['r_480'] < -99.0) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_31' ] = 1 conditions.append(item_buy) # Buy Condition #32 dataframe.loc[ :, 'buy_condition_32' ] = 0 # Quick mode buy # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_32_enable']: # Non-Standard protections (add below) item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[31])) item_buy_logic.append(dataframe['moderi_32']) item_buy_logic.append(dataframe['moderi_64']) item_buy_logic.append(dataframe['moderi_96']) item_buy_logic.append(dataframe['cti'] < -0.8) item_buy_logic.append(dataframe['rsi_20'] < dataframe['rsi_20'].shift(1)) item_buy_logic.append(dataframe['rsi_4'] < 46.0) item_buy_logic.append(dataframe['ema_20_1h'] > dataframe['ema_25_1h']) item_buy_logic.append((dataframe['open'] - dataframe['close']) / dataframe['close'] < 0.005) item_buy_logic.append(dataframe['close'] < (dataframe['sma_15'] * 0.946)) item_buy_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_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_32' ] = 1 conditions.append(item_buy) # Buy Condition #33 dataframe.loc[ :, 'buy_condition_33' ] = 0 # Quick mode buy # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_33_enable']: # Non-Standard protections (add below) item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[32])) item_buy_logic.append(dataframe['moderi_96']) item_buy_logic.append(dataframe['cti'] < -0.8) item_buy_logic.append((dataframe['open'] - dataframe['close']) / dataframe['close'] < 0.005) item_buy_logic.append(dataframe['close'] < (dataframe['ema_13'] * 0.954)) item_buy_logic.append(dataframe['ewo'] > 11.0) item_buy_logic.append(dataframe['rsi'] < 36.0) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_33' ] = 1 conditions.append(item_buy) # Buy Condition #34 dataframe.loc[ :, 'buy_condition_34' ] = 0 # Quick mode buy # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_34_enable']: # Non-Standard protections (add below) item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, buy_protection_list[33])) item_buy_logic.append(dataframe['cti'] < -0.88) item_buy_logic.append(dataframe['volume'] < (dataframe['volume_mean_4'] * 1.1)) item_buy_logic.append((dataframe['open'] - dataframe['close']) / dataframe['close'] < 0.002) item_buy_logic.append(dataframe['close'] < dataframe['ema_13'] * 0.968) item_buy_logic.append(dataframe['ewo'] < -20.0) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_34' ] = 1 conditions.append(item_buy) # Buy Condition #35 dataframe.loc[ :, 'buy_condition_35' ] = 0 # Quick mode buy # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_35_enable']: # Non-Standard protections (add below) item_buy_logic = [] item_buy_logic.append(dataframe[f'pm_{pmaxperiod}_{self.pmaxmultiplier.value}_{self.pmaxlength.value}_{pmaxtype}'] <= dataframe[f'mavalue{self.pmaxlength.value}']) item_buy_logic.append(dataframe['close'] < dataframe[f'{self.ma_type_index_1.value}_ma_buy_bullish{self.base_nb_candles_bullish_buy.value}']* self.low_offset_bullish.value) item_buy_logic.append(dataframe['ewo'] > self.ewo_high.value) item_buy_logic.append(dataframe['rsi14'] < self.rsi_buy_bullish.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_35' ] = 1 conditions.append(item_buy) # Buy Condition #36 dataframe.loc[ :, 'buy_condition_36' ] = 0 # Quick mode buy # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_36_enable']: # Non-Standard protections (add below) item_buy_logic = [] item_buy_logic.append(dataframe[f'pm_{pmaxperiod}_{self.pmaxmultiplier.value}_{self.pmaxlength.value}_{pmaxtype}'] <= dataframe[f'mavalue{self.pmaxlength.value}']) item_buy_logic.append(dataframe['close'] < dataframe[f'{self.ma_type_index_1.value}_ma_buy_bullish{self.base_nb_candles_bullish_buy.value}']* self.low_offset_bullish.value) item_buy_logic.append(dataframe['ewo'] < self.ewo_low.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_36' ] = 1 conditions.append(item_buy) # Buy Condition #37 dataframe.loc[ :, 'buy_condition_37' ] = 0 # Quick mode buy # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_37_enable']: # Non-Standard protections (add below) item_buy_logic = [] item_buy_logic.append(dataframe[f'pm_{pmaxperiod}_{self.pmaxmultiplier.value}_{self.pmaxlength.value}_{pmaxtype}'] > dataframe[f'mavalue{self.pmaxlength.value}']) item_buy_logic.append(dataframe['close'] < dataframe[f'{self.ma_type_index_2.value}_ma_buy_bearish{self.base_nb_candles_bearish_buy.value}']* self.low_offset_bearish.value) item_buy_logic.append(dataframe['ewo'] > self.ewo_high.value) item_buy_logic.append(dataframe['rsi14'] < self.rsi_buy_bearish.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_37' ] = 1 conditions.append(item_buy) # Buy Condition #38 dataframe.loc[ :, 'buy_condition_38' ] = 0 # Quick mode buy # ----------------------------------------------------------------------------------------- if self.buy_params['buy_condition_38_enable']: # Non-Standard protections (add below) item_buy_logic = [] item_buy_logic.append(dataframe[f'pm_{pmaxperiod}_{self.pmaxmultiplier.value}_{self.pmaxlength.value}_{pmaxtype}'] > dataframe[f'mavalue{self.pmaxlength.value}']) item_buy_logic.append(dataframe['close'] < dataframe[f'{self.ma_type_index_2.value}_ma_buy_bearish{self.base_nb_candles_bearish_buy.value}']* self.low_offset_bearish.value) item_buy_logic.append(dataframe['ewo'] < self.ewo_low.value) item_buy_logic.append(dataframe['volume'] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[ item_buy, 'buy_condition_38' ] = 1 conditions.append(item_buy) if conditions: dataframe.loc[:, 'buy'] = reduce(lambda x, y: x | y, conditions) return dataframe def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe.loc[:, 'sell'] = 0 return dataframe def confirm_trade_exit(self, pair: str, trade: "Trade", order_type: str, amount: float, rate: float, time_in_force: str, sell_reason: str, **kwargs) -> bool: """ Called right before placing a regular sell 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 sell_reason: Sell reason. Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss', 'sell_signal', 'force_sell', 'emergency_sell'] :param **kwargs: Ensure to keep this here so updates to this won't break your strategy. :return bool: When True is returned, then the sell-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 self.load_hold_trades_config() if not self.hold_trade_ids: # We have no pairs we want to hold until profit, sell return True if trade.id not in self.hold_trade_ids: # This pair is not on the list to hold until profit, sell return True trade_profit_ratio = self.hold_trade_ids[trade.id] current_profit_ratio = trade.calc_profit_ratio(rate) if sell_reason == "force_sell": formatted_profit_ratio = "{}%".format(trade_profit_ratio * 100) formatted_current_profit_ratio = "{}%".format(current_profit_ratio * 100) log.warning( "Force selling %s even though the current profit of %s < %s", trade, formatted_current_profit_ratio, formatted_profit_ratio ) return True elif current_profit_ratio >= trade_profit_ratio: # This pair is on the list to hold, and we reached minimum profit, sell return True # This pair is on the list to hold, and we haven't reached minimum profit, hold return False # 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 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: df[mavalue] = ta.EMA(masrc, timeperiod=length) elif MAtype == 2: df[mavalue] = ta.DEMA(masrc, timeperiod=length) elif MAtype == 3: df[mavalue] = ta.T3(masrc, timeperiod=length) elif MAtype == 4: df[mavalue] = ta.SMA(masrc, timeperiod=length) elif MAtype == 5: df[mavalue] = VIDYA(df, length=length) elif MAtype == 6: df[mavalue] = ta.TEMA(masrc, timeperiod=length) elif MAtype == 7: df[mavalue] = ta.WMA(df, timeperiod=length) elif MAtype == 8: df[mavalue] = vwma(df, length) elif MAtype == 9: df[mavalue] = zema(df, period=length) df[atr] = ta.ATR(df, timeperiod=period) df['basic_ub'] = df[mavalue] + ((multiplier/10) * df[atr]) df['basic_lb'] = df[mavalue] - ((multiplier/10) * df[atr]) basic_ub = df['basic_ub'].values final_ub = np.full(len(df), 0.00) basic_lb = df['basic_lb'].values final_lb = np.full(len(df), 0.00) mavalues = df[mavalue].values for i in range(period, len(df)): final_ub[i] = basic_ub[i] if ( basic_ub[i] < final_ub[i - 1] or mavalues[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 mavalues[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), 0.00) for i in range(period, len(df)): pm_arr[i] = ( final_ub[i] if (pm_arr[i - 1] == final_ub[i - 1] and mavalues[i] <= final_ub[i]) else final_lb[i] if ( pm_arr[i - 1] == final_ub[i - 1] and mavalues[i] > final_ub[i]) else final_lb[i] if (pm_arr[i - 1] == final_lb[i - 1] and mavalues[i] >= final_lb[i]) else final_ub[i] if (pm_arr[i - 1] == final_lb[i - 1] and mavalues[i] < final_lb[i]) else 0.00) df[pm] = pm_arr # Mark the trend direction up/down df[pmx] = np.where((df[pm] > 0.00), np.where((df[mavalue] < df[pm]), 'down', 'up'), np.NaN) # Remove basic and final bands from the columns df.drop(['basic_ub', 'basic_lb', 'final_ub', 'final_lb'], inplace=True, axis=1) df.fillna(0, inplace=True) return df