# source: https://raw.githubusercontent.com/DerSalvador/freqtrade-helm-chart/f80d4d8b77c53435e9c0a9045636f1bfb2b8c539/chart/deployed_strategies/binance-michael-k8s-namespace/NFI7MOHO.py import freqtrade.vendor.qtpylib.indicators as qtpylib import numpy as np import talib.abstract as ta from freqtrade.strategy.interface import IStrategy from freqtrade.strategy import merge_informative_pair, DecimalParameter, IntParameter, CategoricalParameter from pandas import DataFrame, Series from functools import reduce from freqtrade.persistence import Trade from datetime import datetime, timedelta from technical.indicators import zema ########################################################################################################### ## NostalgiaForInfinityV7 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_exit_signal must set to true (or not set at all). ## ## exit_profit_only must set to false (or not set at all). ## ## ignore_roi_if_entry_signal must set to true (or not set at all). ## ## ## ########################################################################################################### ## DONATIONS ## ## ## ## Absolutely not required. However, will be accepted as a token of appreciation. ## ## ## ## BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk ## ## ETH (ERC20): 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91 ## ## BEP20/BSC (ETH, BNB, ...): 0x86A0B21a20b39d16424B7c8003E4A7e12d78ABEe ## ## ## ########################################################################################################### class Github_DerSalvador_freqtrade_helm_chart__NFI7MOHO__20260416_224245(IStrategy): INTERFACE_VERSION = 3 # # ROI table: minimal_roi = {'0': 0.01} stoploss = -0.99 # Multi Offset base_nb_candles_optimize = False offset_sma_optimize = False offset_ema_optimize = False offset_trima_optimize = False offset_t3_optimize = False offset_kama_optimize = False base_nb_candles_entry = IntParameter(5, 80, default=20, load=True, space='entry', optimize=base_nb_candles_optimize) base_nb_candles_exit = IntParameter(5, 80, default=20, load=True, space='exit', optimize=base_nb_candles_optimize) low_offset_sma = DecimalParameter(0.9, 0.99, default=0.958, load=True, space='entry', optimize=offset_sma_optimize) high_offset_sma = DecimalParameter(0.99, 1.1, default=1.012, load=True, space='exit', optimize=offset_sma_optimize) low_offset_ema = DecimalParameter(0.9, 0.99, default=0.958, load=True, space='entry', optimize=offset_ema_optimize) high_offset_ema = DecimalParameter(0.99, 1.1, default=1.012, load=True, space='exit', optimize=offset_ema_optimize) low_offset_trima = DecimalParameter(0.9, 0.99, default=0.958, load=True, space='entry', optimize=offset_trima_optimize) high_offset_trima = DecimalParameter(0.99, 1.1, default=1.012, load=True, space='exit', optimize=offset_trima_optimize) low_offset_t3 = DecimalParameter(0.9, 0.99, default=0.958, load=True, space='entry', optimize=offset_t3_optimize) high_offset_t3 = DecimalParameter(0.99, 1.1, default=1.012, load=True, space='exit', optimize=offset_t3_optimize) low_offset_kama = DecimalParameter(0.9, 0.99, default=0.958, load=True, space='entry', optimize=offset_kama_optimize) high_offset_kama = DecimalParameter(0.99, 1.1, default=1.012, load=True, space='exit', optimize=offset_kama_optimize) # Protection ewo_low_high_optimize = False ewo_fast_slow_optimize = False ewo_low = DecimalParameter(-20.0, -8.0, default=-20.0, load=True, space='entry', optimize=ewo_low_high_optimize) ewo_high = DecimalParameter(2.0, 12.0, default=6.0, load=True, space='entry', optimize=ewo_low_high_optimize) fast_ewo = IntParameter(10, 50, default=50, load=True, space='entry', optimize=ewo_fast_slow_optimize) slow_ewo = IntParameter(100, 200, default=200, load=True, space='entry', optimize=ewo_fast_slow_optimize) # MA list ma_types = ['sma', 'ema', 'trima', 't3', 'kama'] ma_map = {'sma': {'low_offset': low_offset_sma.value, 'high_offset': high_offset_sma.value, 'calculate': ta.SMA}, 'ema': {'low_offset': low_offset_ema.value, 'high_offset': high_offset_ema.value, 'calculate': ta.EMA}, 'trima': {'low_offset': low_offset_trima.value, 'high_offset': high_offset_trima.value, 'calculate': ta.TRIMA}, 't3': {'low_offset': low_offset_t3.value, 'high_offset': high_offset_t3.value, 'calculate': ta.T3}, 'kama': {'low_offset': low_offset_kama.value, 'high_offset': high_offset_kama.value, 'calculate': ta.KAMA}} # 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' inf_1h = '1h' # Run "populate_indicators()" only for new candle. process_only_new_candles = True # These values can be overridden in the "ask_strategy" section in the config. use_exit_signal = True exit_profit_only = False ignore_roi_if_entry_signal = True # Number of candles the strategy requires before producing valid signals startup_candle_count: int = 400 # Optional order type mapping. order_types = {'entry': 'limit', 'exit': 'limit', 'trailing_stop_loss': 'limit', 'stoploss': 'limit', 'stoploss_on_exchange': False} # plot config plot_config = {'main_plot': {'ma_offset_entry': {'color': 'orange'}, 'ma_offset_exit': {'color': 'orange'}}} ############################################################# # "entry_02_protection__safe_pump_period": "24", # "entry_02_protection__safe_pump_type": "strict", # "entry_04_protection__safe_pump_period": "36", # "entry_04_protection__safe_pump_type": "strict", # "entry_05_protection__safe_pump_period": "48", # "entry_05_protection__safe_pump_type": "strict", # "entry_11_protection__safe_pump_period": "36", # "entry_11_protection__safe_pump_type": "strict", # "entry_14_protection__safe_pump_period": "24", # "entry_14_protection__safe_pump_type": "loose", # "entry_15_protection__safe_pump_period": "48", # "entry_15_protection__safe_pump_type": "loose", # "entry_17_protection__safe_pump_period": "24", # "entry_17_protection__safe_pump_type": "loose", # "entry_20_protection__safe_pump_period": "48", # "entry_20_protection__safe_pump_type": "loose", # "entry_21_protection__safe_pump_period": "36", # "entry_21_protection__safe_pump_type": "loose", # "entry_23_protection__safe_pump_period": "48", # "entry_23_protection__safe_pump_type": "loose", # "entry_24_protection__safe_pump_period": "36", # "entry_24_protection__safe_pump_type": "strict", # Hyperopt # Multi Offset entry_params = {'entry_condition_1_enable': True, 'entry_condition_2_enable': True, 'entry_condition_3_enable': True, 'entry_condition_4_enable': True, 'entry_condition_5_enable': True, 'entry_condition_6_enable': True, 'entry_condition_7_enable': True, 'entry_condition_8_enable': True, 'entry_condition_9_enable': True, 'entry_condition_10_enable': True, 'entry_condition_11_enable': True, 'entry_condition_12_enable': True, 'entry_condition_13_enable': True, 'entry_condition_14_enable': True, 'entry_condition_15_enable': True, 'entry_condition_16_enable': True, 'entry_condition_17_enable': True, 'entry_condition_18_enable': True, 'entry_condition_19_enable': True, 'entry_condition_20_enable': True, 'entry_condition_21_enable': True, 'entry_condition_22_enable': True, 'entry_condition_23_enable': True, 'entry_condition_24_enable': True, 'entry_condition_25_enable': True, 'entry_condition_26_enable': True, 'entry_01_protection__close_above_ema_fast_len': '200', 'entry_01_protection__close_above_ema_slow_len': '200', 'entry_01_protection__ema_fast_len': '26', 'entry_01_protection__ema_slow_len': '50', 'entry_01_protection__safe_dips_type': '10', 'entry_01_protection__safe_pump_period': '36', 'entry_01_protection__safe_pump_type': '50', 'entry_01_protection__sma200_1h_rising_val': '20', 'entry_01_protection__sma200_rising_val': '50', 'entry_02_protection__close_above_ema_fast_len': '200', 'entry_02_protection__close_above_ema_slow_len': '15', 'entry_02_protection__ema_fast_len': '50', 'entry_02_protection__ema_slow_len': '100', 'entry_02_protection__safe_dips_type': '100', 'entry_02_protection__sma200_1h_rising_val': '50', 'entry_02_protection__sma200_rising_val': '44', 'entry_04_protection__close_above_ema_fast_len': '26', 'entry_04_protection__close_above_ema_slow_len': '15', 'entry_04_protection__ema_fast_len': '50', 'entry_04_protection__ema_slow_len': '26', 'entry_04_protection__safe_dips_type': '50', 'entry_04_protection__sma200_1h_rising_val': '44', 'entry_04_protection__sma200_rising_val': '20', 'entry_05_protection__close_above_ema_fast_len': '50', 'entry_05_protection__close_above_ema_slow_len': '200', 'entry_05_protection__ema_fast_len': '100', 'entry_05_protection__ema_slow_len': '100', 'entry_05_protection__safe_dips_type': '50', 'entry_05_protection__sma200_1h_rising_val': '44', 'entry_05_protection__sma200_rising_val': '50', 'entry_11_protection__close_above_ema_fast_len': '20', 'entry_11_protection__close_above_ema_slow_len': '50', 'entry_11_protection__ema_fast_len': '26', 'entry_11_protection__ema_slow_len': '50', 'entry_11_protection__safe_dips_type': '50', 'entry_11_protection__sma200_1h_rising_val': '44', 'entry_11_protection__sma200_rising_val': '50', 'entry_14_protection__close_above_ema_fast_len': '26', 'entry_14_protection__close_above_ema_slow_len': '50', 'entry_14_protection__ema_fast_len': '100', 'entry_14_protection__ema_slow_len': '100', 'entry_14_protection__safe_dips_type': '50', 'entry_14_protection__sma200_1h_rising_val': '30', 'entry_14_protection__sma200_rising_val': '36', 'entry_15_protection__close_above_ema_fast_len': '50', 'entry_15_protection__close_above_ema_slow_len': '15', 'entry_15_protection__ema_fast_len': '200', 'entry_15_protection__ema_slow_len': '200', 'entry_15_protection__safe_dips_type': '50', 'entry_15_protection__sma200_1h_rising_val': '36', 'entry_15_protection__sma200_rising_val': '36', 'entry_17_protection__close_above_ema_fast_len': '50', 'entry_17_protection__close_above_ema_slow_len': '15', 'entry_17_protection__ema_fast_len': '26', 'entry_17_protection__ema_slow_len': '200', 'entry_17_protection__safe_dips_type': '100', 'entry_17_protection__sma200_1h_rising_val': '20', 'entry_17_protection__sma200_rising_val': '44', 'entry_20_protection__close_above_ema_fast_len': '50', 'entry_20_protection__close_above_ema_slow_len': '200', 'entry_20_protection__ema_fast_len': '200', 'entry_20_protection__ema_slow_len': '100', 'entry_20_protection__safe_dips_type': '50', 'entry_20_protection__sma200_1h_rising_val': '20', 'entry_20_protection__sma200_rising_val': '30', 'entry_21_protection__close_above_ema_fast_len': '100', 'entry_21_protection__close_above_ema_slow_len': '50', 'entry_21_protection__ema_fast_len': '200', 'entry_21_protection__ema_slow_len': '100', 'entry_21_protection__safe_dips_type': '10', 'entry_21_protection__sma200_1h_rising_val': '36', 'entry_21_protection__sma200_rising_val': '44', 'entry_23_protection__close_above_ema_fast_len': '200', 'entry_23_protection__close_above_ema_slow_len': '50', 'entry_23_protection__ema_fast_len': '50', 'entry_23_protection__ema_slow_len': '50', 'entry_23_protection__safe_dips_type': '100', 'entry_23_protection__sma200_1h_rising_val': '50', 'entry_23_protection__sma200_rising_val': '50', 'entry_24_protection__close_above_ema_fast_len': '100', 'entry_24_protection__close_above_ema_slow_len': '50', 'entry_24_protection__ema_fast_len': '200', 'entry_24_protection__ema_slow_len': '26', 'entry_24_protection__safe_dips_type': '100', 'entry_24_protection__sma200_1h_rising_val': '50', 'entry_24_protection__sma200_rising_val': '30', 'entry_mfi_1': 35.1, 'entry_min_inc_1': 0.027, 'entry_rsi_1': 36.4, 'entry_rsi_1h_max_1': 80.8, 'entry_rsi_1h_min_1': 27.1, 'entry_bb_offset_2': 0.99, 'entry_mfi_2': 51.3, 'entry_rsi_1h_diff_2': 44.1, 'entry_rsi_1h_max_2': 70.7, 'entry_rsi_1h_min_2': 31.2, 'entry_bb40_bbdelta_close_3': 0.049, 'entry_bb40_closedelta_close_3': 0.021, 'entry_bb40_tail_bbdelta_3': 0.429, 'entry_ema_rel_3': 0.983, 'entry_bb_offset_5': 1.0, 'entry_ema_open_mult_5': 0.018, 'entry_ema_rel_5': 0.978, 'entry_bb_offset_6': 0.996, 'entry_ema_open_mult_6': 0.02, 'entry_rsi_8': 30.0, 'entry_tail_diff_8': 8.4, 'entry_volume_8': 6.0, 'entry_bb_offset_10': 0.988, 'entry_ma_offset_10': 0.942, 'entry_rsi_1h_10': 40.0, 'entry_ma_offset_11': 0.955, 'entry_mfi_11': 32.1, 'entry_min_inc_11': 0.006, 'entry_rsi_11': 48.8, 'entry_rsi_1h_max_11': 76.5, 'entry_rsi_1h_min_11': 59.0, 'entry_ewo_12': 5.1, 'entry_ma_offset_12': 0.936, 'entry_rsi_12': 39.9, 'entry_ewo_13': -12.2, 'entry_ma_offset_13': 0.93, 'entry_bb_offset_14': 0.986, 'entry_ema_open_mult_14': 0.012, 'entry_ma_offset_14': 0.989, 'entry_ewo_17': -14.5, 'entry_ma_offset_17': 0.979, 'base_nb_candles_entry': 28, 'low_offset_ema': 0.912, 'low_offset_sma': 0.921, 'entry_chop_min_19': 41.0, 'entry_rsi_1h_min_19': 50.9, 'ewo_high': 3.209, 'ewo_low': -19.71, 'fast_ewo': 37, 'slow_ewo': 116, 'low_offset_kama': 0.919, 'low_offset_t3': 0.977, 'low_offset_trima': 0.952} # Hyperopt # Multi Offset exit_params = {'exit_condition_1_enable': True, 'exit_condition_2_enable': True, 'exit_condition_3_enable': True, 'exit_condition_4_enable': True, 'exit_condition_5_enable': True, 'exit_condition_6_enable': True, 'exit_condition_7_enable': True, 'exit_condition_8_enable': True, 'base_nb_candles_exit': 34, 'high_offset_ema': 1.047, 'high_offset_kama': 1.07, 'high_offset_sma': 1.051, 'high_offset_t3': 0.999, 'high_offset_trima': 1.096} ############################################################# entry_01_protections_optimize = False entry_condition_1_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_01_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_01_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='26', space='entry', optimize=entry_01_protections_optimize, load=True) entry_01_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_01_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=entry_01_protections_optimize, load=True) entry_01_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_01_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=entry_01_protections_optimize, load=True) entry_01_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_01_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=entry_01_protections_optimize, load=True) entry_01_protection__sma200_rising = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_01_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='28', space='entry', optimize=entry_01_protections_optimize, load=True) entry_01_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_01_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=entry_01_protections_optimize, load=True) entry_01_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_01_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='80', space='entry', optimize=entry_01_protections_optimize, load=True) entry_01_protection__safe_pump = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_01_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='70', space='entry', optimize=entry_01_protections_optimize, load=True) entry_01_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=entry_01_protections_optimize, load=True) entry_02_protections_optimize = True entry_condition_2_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_02_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_02_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=entry_02_protections_optimize, load=True) entry_02_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_02_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=entry_02_protections_optimize, load=True) entry_02_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_02_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=entry_02_protections_optimize, load=True) entry_02_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_02_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='20', space='entry', optimize=entry_02_protections_optimize, load=True) entry_02_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_02_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=entry_02_protections_optimize, load=True) entry_02_protection__safe_pump = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_02_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=entry_02_protections_optimize, load=True) entry_02_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=entry_02_protections_optimize, load=True) entry_02_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_02_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=entry_02_protections_optimize, load=True) entry_02_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_02_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=entry_02_protections_optimize, load=True) entry_condition_3_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_03_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_03_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_03_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_03_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_03_protection__ema_fast = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_03_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True) entry_03_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_03_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True) entry_03_protection__safe_dips = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_03_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True) entry_03_protection__safe_pump = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_03_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True) entry_03_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='36', space='entry', optimize=False, load=True) entry_03_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_03_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_03_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_03_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_condition_4_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_04_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_04_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_04_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_04_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_04_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_04_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_04_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_04_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_04_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_04_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='40', space='entry', optimize=False, load=True) entry_04_protection__safe_pump = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_04_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='110', space='entry', optimize=False, load=True) entry_04_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='48', space='entry', optimize=False, load=True) entry_04_protection__sma200_rising = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_04_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_04_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_04_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='20', space='entry', optimize=False, load=True) entry_condition_5_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_05_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_05_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True) entry_05_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_05_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_05_protection__ema_fast = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_05_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True) entry_05_protection__ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_05_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_05_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_05_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True) entry_05_protection__safe_pump = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_05_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='20', space='entry', optimize=False, load=True) entry_05_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='36', space='entry', optimize=False, load=True) entry_05_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_05_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_05_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_05_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_condition_6_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_06_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_06_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_06_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_06_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True) entry_06_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_06_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_06_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_06_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_06_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_06_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_06_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_06_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_06_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_06_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_06_protection__safe_pump = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_06_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='20', space='entry', optimize=False, load=True) entry_06_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='36', space='entry', optimize=False, load=True) entry_condition_7_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_07_protection__ema_fast = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_07_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True) entry_07_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_07_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='12', space='entry', optimize=False, load=True) entry_07_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_07_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_07_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_07_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_07_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_07_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_07_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_07_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_07_protection__safe_dips = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_07_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_07_protection__safe_pump = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_07_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_07_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_8_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_08_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_08_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_08_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_08_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='12', space='entry', optimize=False, load=True) entry_08_protection__close_above_ema_fast = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_08_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_08_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_08_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_08_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_08_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_08_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_08_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_08_protection__safe_dips = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_08_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True) entry_08_protection__safe_pump = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_08_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='120', space='entry', optimize=False, load=True) entry_08_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_9_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_09_protection__ema_fast = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_09_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True) entry_09_protection__ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_09_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_09_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_09_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_09_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_09_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_09_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_09_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_09_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_09_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_09_protection__safe_dips = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_09_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True) entry_09_protection__safe_pump = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_09_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_09_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_10_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_10_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_10_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_10_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_10_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_10_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_10_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_10_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_10_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_10_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_10_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_10_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_10_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='24', space='entry', optimize=False, load=True) entry_10_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_10_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True) entry_10_protection__safe_pump = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_10_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_10_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_11_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_11_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_11_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_11_protection__ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_11_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_11_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_11_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_11_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_11_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_11_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_11_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_11_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_11_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_11_protection__safe_dips = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_11_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True) entry_11_protection__safe_pump = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_11_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_11_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_12_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_12_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_12_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_12_protection__ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_12_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_12_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_12_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_12_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_12_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_12_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_12_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_12_protection__sma200_1h_rising = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_12_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='24', space='entry', optimize=False, load=True) entry_12_protection__safe_dips = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_12_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True) entry_12_protection__safe_pump = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_12_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_12_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_13_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_13_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_13_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_13_protection__ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_13_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_13_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_13_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_13_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_13_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_13_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_13_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_13_protection__sma200_1h_rising = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_13_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='24', space='entry', optimize=False, load=True) entry_13_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_13_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True) entry_13_protection__safe_pump = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_13_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_13_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_14_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_14_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_14_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_14_protection__ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_14_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_14_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_14_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_14_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_14_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_14_protection__sma200_rising = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_14_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True) entry_14_protection__sma200_1h_rising = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_14_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_14_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_14_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True) entry_14_protection__safe_pump = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_14_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='70', space='entry', optimize=False, load=True) entry_14_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_15_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_15_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_15_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_15_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_15_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_15_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_15_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_15_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_15_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_15_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_15_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_15_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_15_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_15_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_15_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_15_protection__safe_pump = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_15_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True) entry_15_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='36', space='entry', optimize=False, load=True) entry_condition_16_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_16_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_16_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_16_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_16_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_16_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_16_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_16_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_16_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='50', space='entry', optimize=False, load=True) entry_16_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_16_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_16_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_16_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_16_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_16_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True) entry_16_protection__safe_pump = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_16_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True) entry_16_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_17_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_17_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_17_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_17_protection__ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_17_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_17_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_17_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_17_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_17_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_17_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_17_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_17_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_17_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_17_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_17_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True) entry_17_protection__safe_pump = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_17_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='120', space='entry', optimize=False, load=True) entry_17_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_18_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_18_protection__ema_fast = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_18_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True) entry_18_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_18_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_18_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_18_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_18_protection__close_above_ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_18_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_18_protection__sma200_rising = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_18_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='44', space='entry', optimize=False, load=True) entry_18_protection__sma200_1h_rising = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_18_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='72', space='entry', optimize=False, load=True) entry_18_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_18_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_18_protection__safe_pump = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_18_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='60', space='entry', optimize=False, load=True) entry_18_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_19_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_19_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_19_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_19_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_19_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=False, load=True) entry_19_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_19_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_19_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_19_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_19_protection__sma200_rising = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_19_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='36', space='entry', optimize=False, load=True) entry_19_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_19_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_19_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_19_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_19_protection__safe_pump = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_19_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_19_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_20_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_20_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_20_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_20_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_20_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_20_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_20_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_20_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_20_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_20_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_20_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_20_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_20_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_20_protection__safe_dips = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_20_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True) entry_20_protection__safe_pump = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_20_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_20_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_21_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_21_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_21_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_21_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_21_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_21_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_21_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_21_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_21_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_21_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_21_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_21_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_21_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_21_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_21_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='90', space='entry', optimize=False, load=True) entry_21_protection__safe_pump = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_21_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_21_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_22_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_22_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_22_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_22_protection__ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_22_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_22_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_22_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_22_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_22_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_22_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_22_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_22_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_22_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_22_protection__safe_dips = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_22_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True) entry_22_protection__safe_pump = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_22_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_22_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_23_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_23_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_23_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_23_protection__ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_23_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_23_protection__close_above_ema_fast = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_23_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_23_protection__close_above_ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_23_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_23_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_23_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_23_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_23_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=False, load=True) entry_23_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_23_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=False, load=True) entry_23_protection__safe_pump = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_23_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_23_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_24_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_24_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_24_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_24_protection__ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_24_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=False, load=True) entry_24_protection__close_above_ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_24_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='200', space='entry', optimize=False, load=True) entry_24_protection__close_above_ema_slow = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_24_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=False, load=True) entry_24_protection__sma200_rising = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_24_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=False, load=True) entry_24_protection__sma200_1h_rising = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_24_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='36', space='entry', optimize=False, load=True) entry_24_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_24_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=False, load=True) entry_24_protection__safe_pump = CategoricalParameter([True, False], default=False, space='entry', optimize=False, load=True) entry_24_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='50', space='entry', optimize=False, load=True) entry_24_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='24', space='entry', optimize=False, load=True) entry_condition_26_enable = CategoricalParameter([True, False], default=True, space='entry', optimize=False, load=True) entry_26_protection__optimize = False entry_26_parameters__optimize = False entry_26_protection__ema_fast = CategoricalParameter([True, False], default=False, space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__ema_fast_len = CategoricalParameter(['26', '50', '100', '200'], default='50', space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__ema_slow_len = CategoricalParameter(['26', '50', '100', '200'], default='100', space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__close_above_ema_fast = CategoricalParameter([True, False], default=True, space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__close_above_ema_fast_len = CategoricalParameter(['12', '20', '26', '50', '100', '200'], default='50', space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__close_above_ema_slow = CategoricalParameter([True, False], default=True, space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__close_above_ema_slow_len = CategoricalParameter(['15', '50', '200'], default='200', space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__sma200_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__sma200_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='30', space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__sma200_1h_rising = CategoricalParameter([True, False], default=False, space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__sma200_1h_rising_val = CategoricalParameter(['20', '30', '36', '44', '50'], default='50', space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__safe_dips = CategoricalParameter([True, False], default=True, space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__safe_dips_type = CategoricalParameter(['10', '50', '100'], default='10', space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__safe_pump = CategoricalParameter([True, False], default=True, space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__safe_pump_type = CategoricalParameter(['10', '50', '100'], default='100', space='entry', optimize=entry_26_protection__optimize, load=True) entry_26_protection__safe_pump_period = CategoricalParameter(['24', '36', '48'], default='48', space='entry', optimize=entry_26_protection__optimize, load=True) # Strict dips - level 10 entry_dip_threshold_10_1 = DecimalParameter(0.001, 0.05, default=0.015, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_10_2 = DecimalParameter(0.01, 0.2, default=0.1, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_10_3 = DecimalParameter(0.1, 0.3, default=0.24, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_10_4 = DecimalParameter(0.3, 0.5, default=0.42, space='entry', decimals=3, optimize=False, load=True) # Strict dips - level 20 entry_dip_threshold_20_1 = DecimalParameter(0.001, 0.05, default=0.016, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_20_2 = DecimalParameter(0.01, 0.2, default=0.11, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_20_3 = DecimalParameter(0.1, 0.4, default=0.26, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_20_4 = DecimalParameter(0.36, 0.56, default=0.44, space='entry', decimals=3, optimize=False, load=True) # Strict dips - level 30 entry_dip_threshold_30_1 = DecimalParameter(0.001, 0.05, default=0.018, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_30_2 = DecimalParameter(0.01, 0.2, default=0.12, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_30_3 = DecimalParameter(0.1, 0.4, default=0.28, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_30_4 = DecimalParameter(0.36, 0.56, default=0.46, space='entry', decimals=3, optimize=False, load=True) # Strict dips - level 40 entry_dip_threshold_40_1 = DecimalParameter(0.001, 0.05, default=0.019, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_40_2 = DecimalParameter(0.01, 0.2, default=0.13, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_40_3 = DecimalParameter(0.1, 0.4, default=0.3, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_40_4 = DecimalParameter(0.36, 0.56, default=0.48, space='entry', decimals=3, optimize=False, load=True) # Normal dips - level 50 entry_dip_threshold_50_1 = DecimalParameter(0.001, 0.05, default=0.02, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_50_2 = DecimalParameter(0.01, 0.2, default=0.14, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_50_3 = DecimalParameter(0.05, 0.4, default=0.32, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_50_4 = DecimalParameter(0.2, 0.5, default=0.5, space='entry', decimals=3, optimize=False, load=True) # Normal dips - level 60 entry_dip_threshold_60_1 = DecimalParameter(0.001, 0.05, default=0.022, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_60_2 = DecimalParameter(0.1, 0.22, default=0.18, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_60_3 = DecimalParameter(0.2, 0.4, default=0.34, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_60_4 = DecimalParameter(0.4, 0.6, default=0.56, space='entry', decimals=3, optimize=False, load=True) # Normal dips - level 70 entry_dip_threshold_70_1 = DecimalParameter(0.001, 0.05, default=0.023, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_70_2 = DecimalParameter(0.16, 0.28, default=0.2, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_70_3 = DecimalParameter(0.2, 0.4, default=0.36, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_70_4 = DecimalParameter(0.5, 0.7, default=0.6, space='entry', decimals=3, optimize=False, load=True) # Normal dips - level 80 entry_dip_threshold_80_1 = DecimalParameter(0.001, 0.05, default=0.024, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_80_2 = DecimalParameter(0.16, 0.28, default=0.22, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_80_3 = DecimalParameter(0.2, 0.4, default=0.38, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_80_4 = DecimalParameter(0.5, 0.7, default=0.66, space='entry', decimals=3, optimize=False, load=True) # Normal dips - level 70 entry_dip_threshold_90_1 = DecimalParameter(0.001, 0.05, default=0.025, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_90_2 = DecimalParameter(0.16, 0.28, default=0.23, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_90_3 = DecimalParameter(0.3, 0.5, default=0.4, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_90_4 = DecimalParameter(0.6, 0.8, default=0.7, space='entry', decimals=3, optimize=False, load=True) # Loose dips - level 100 entry_dip_threshold_100_1 = DecimalParameter(0.001, 0.05, default=0.026, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_100_2 = DecimalParameter(0.16, 0.3, default=0.24, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_100_3 = DecimalParameter(0.3, 0.5, default=0.42, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_100_4 = DecimalParameter(0.6, 1.0, default=0.8, space='entry', decimals=3, optimize=False, load=True) # Loose dips - level 110 entry_dip_threshold_110_1 = DecimalParameter(0.001, 0.05, default=0.027, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_110_2 = DecimalParameter(0.16, 0.3, default=0.26, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_110_3 = DecimalParameter(0.3, 0.5, default=0.44, space='entry', decimals=3, optimize=False, load=True) entry_dip_threshold_110_4 = DecimalParameter(0.6, 1.0, default=0.84, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 10 entry_pump_pull_threshold_10_24 = DecimalParameter(1.5, 3.0, default=2.2, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_10_24 = DecimalParameter(0.4, 1.0, default=0.42, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 10 entry_pump_pull_threshold_10_36 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_10_36 = DecimalParameter(0.4, 1.0, default=0.58, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 10 entry_pump_pull_threshold_10_48 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_10_48 = DecimalParameter(0.4, 1.0, default=0.8, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 20 entry_pump_pull_threshold_20_24 = DecimalParameter(1.5, 3.0, default=2.2, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_20_24 = DecimalParameter(0.4, 1.0, default=0.46, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 20 entry_pump_pull_threshold_20_36 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_20_36 = DecimalParameter(0.4, 1.0, default=0.6, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 20 entry_pump_pull_threshold_20_48 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_20_48 = DecimalParameter(0.4, 1.0, default=0.81, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 30 entry_pump_pull_threshold_30_24 = DecimalParameter(1.5, 3.0, default=2.2, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_30_24 = DecimalParameter(0.4, 1.0, default=0.5, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 30 entry_pump_pull_threshold_30_36 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_30_36 = DecimalParameter(0.4, 1.0, default=0.62, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 30 entry_pump_pull_threshold_30_48 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_30_48 = DecimalParameter(0.4, 1.0, default=0.82, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 40 entry_pump_pull_threshold_40_24 = DecimalParameter(1.5, 3.0, default=2.2, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_40_24 = DecimalParameter(0.4, 1.0, default=0.54, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 40 entry_pump_pull_threshold_40_36 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_40_36 = DecimalParameter(0.4, 1.0, default=0.63, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 40 entry_pump_pull_threshold_40_48 = DecimalParameter(1.5, 3.0, default=2.0, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_40_48 = DecimalParameter(0.4, 1.0, default=0.84, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 50 entry_pump_pull_threshold_50_24 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_50_24 = DecimalParameter(0.4, 1.0, default=0.6, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 50 entry_pump_pull_threshold_50_36 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_50_36 = DecimalParameter(0.4, 1.0, default=0.64, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 50 entry_pump_pull_threshold_50_48 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_50_48 = DecimalParameter(0.4, 1.0, default=0.85, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 60 entry_pump_pull_threshold_60_24 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_60_24 = DecimalParameter(0.4, 1.0, default=0.62, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 60 entry_pump_pull_threshold_60_36 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_60_36 = DecimalParameter(0.4, 1.0, default=0.66, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 60 entry_pump_pull_threshold_60_48 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_60_48 = DecimalParameter(0.4, 1.0, default=0.9, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 70 entry_pump_pull_threshold_70_24 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_70_24 = DecimalParameter(0.4, 1.0, default=0.63, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 70 entry_pump_pull_threshold_70_36 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_70_36 = DecimalParameter(0.4, 1.0, default=0.67, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 70 entry_pump_pull_threshold_70_48 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_70_48 = DecimalParameter(0.4, 1.0, default=0.95, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 80 entry_pump_pull_threshold_80_24 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_80_24 = DecimalParameter(0.4, 1.0, default=0.64, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 80 entry_pump_pull_threshold_80_36 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_80_36 = DecimalParameter(0.4, 1.0, default=0.68, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 80 entry_pump_pull_threshold_80_48 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_80_48 = DecimalParameter(0.8, 1.1, default=1.0, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 90 entry_pump_pull_threshold_90_24 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_90_24 = DecimalParameter(0.4, 1.0, default=0.65, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 90 entry_pump_pull_threshold_90_36 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_90_36 = DecimalParameter(0.4, 1.0, default=0.69, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 90 entry_pump_pull_threshold_90_48 = DecimalParameter(1.5, 3.0, default=1.75, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_90_48 = DecimalParameter(0.8, 1.2, default=1.1, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 100 entry_pump_pull_threshold_100_24 = DecimalParameter(1.5, 3.0, default=1.7, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_100_24 = DecimalParameter(0.4, 1.0, default=0.66, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 100 entry_pump_pull_threshold_100_36 = DecimalParameter(1.5, 3.0, default=1.7, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_100_36 = DecimalParameter(0.4, 1.0, default=0.7, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 100 entry_pump_pull_threshold_100_48 = DecimalParameter(1.3, 2.0, default=1.4, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_100_48 = DecimalParameter(0.4, 1.8, default=1.6, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 110 entry_pump_pull_threshold_110_24 = DecimalParameter(1.5, 3.0, default=1.7, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_110_24 = DecimalParameter(0.4, 1.0, default=0.7, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 110 entry_pump_pull_threshold_110_36 = DecimalParameter(1.5, 3.0, default=1.7, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_110_36 = DecimalParameter(0.4, 1.0, default=0.74, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 110 entry_pump_pull_threshold_110_48 = DecimalParameter(1.3, 2.0, default=1.4, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_110_48 = DecimalParameter(1.4, 2.0, default=1.8, space='entry', decimals=3, optimize=False, load=True) # 24 hours - level 120 entry_pump_pull_threshold_120_24 = DecimalParameter(1.5, 3.0, default=1.7, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_120_24 = DecimalParameter(0.4, 1.0, default=0.78, space='entry', decimals=3, optimize=False, load=True) # 36 hours - level 120 entry_pump_pull_threshold_120_36 = DecimalParameter(1.5, 3.0, default=1.7, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_120_36 = DecimalParameter(0.4, 1.0, default=0.78, space='entry', decimals=3, optimize=False, load=True) # 48 hours - level 120 entry_pump_pull_threshold_120_48 = DecimalParameter(1.3, 2.0, default=1.4, space='entry', decimals=2, optimize=False, load=True) entry_pump_threshold_120_48 = DecimalParameter(1.4, 2.8, default=2.0, space='entry', decimals=3, optimize=False, load=True) entry_min_inc_1 = DecimalParameter(0.01, 0.05, default=0.022, space='entry', decimals=3, optimize=False, load=True) entry_rsi_1h_min_1 = DecimalParameter(25.0, 40.0, default=30.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_max_1 = DecimalParameter(70.0, 90.0, default=84.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1 = DecimalParameter(20.0, 40.0, default=36.0, space='entry', decimals=1, optimize=False, load=True) entry_mfi_1 = DecimalParameter(20.0, 40.0, default=36.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_min_2 = DecimalParameter(30.0, 40.0, default=32.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_max_2 = DecimalParameter(70.0, 95.0, default=84.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_diff_2 = DecimalParameter(30.0, 50.0, default=39.0, space='entry', decimals=1, optimize=False, load=True) entry_mfi_2 = DecimalParameter(30.0, 56.0, default=49.0, space='entry', decimals=1, optimize=False, load=True) entry_bb_offset_2 = DecimalParameter(0.97, 0.999, default=0.983, space='entry', decimals=3, optimize=False, load=True) entry_bb40_bbdelta_close_3 = DecimalParameter(0.005, 0.06, default=0.059, space='entry', optimize=False, load=True) entry_bb40_closedelta_close_3 = DecimalParameter(0.01, 0.03, default=0.023, space='entry', optimize=False, load=True) entry_bb40_tail_bbdelta_3 = DecimalParameter(0.15, 0.45, default=0.418, space='entry', optimize=False, load=True) entry_ema_rel_3 = DecimalParameter(0.97, 0.999, default=0.986, space='entry', decimals=3, optimize=False, load=True) entry_bb20_close_bblowerband_4 = DecimalParameter(0.96, 0.99, default=0.98, space='entry', optimize=False, load=True) entry_bb20_volume_4 = DecimalParameter(1.0, 20.0, default=10.0, space='entry', decimals=2, optimize=False, load=True) entry_ema_open_mult_5 = DecimalParameter(0.016, 0.03, default=0.018, space='entry', decimals=3, optimize=False, load=True) entry_bb_offset_5 = DecimalParameter(0.98, 1.0, default=0.996, space='entry', decimals=3, optimize=False, load=True) entry_ema_rel_5 = DecimalParameter(0.97, 0.999, default=0.944, space='entry', decimals=3, optimize=False, load=True) entry_ema_open_mult_6 = DecimalParameter(0.02, 0.03, default=0.021, space='entry', decimals=3, optimize=False, load=True) entry_bb_offset_6 = DecimalParameter(0.98, 0.999, default=0.984, space='entry', decimals=3, optimize=False, load=True) entry_ema_open_mult_7 = DecimalParameter(0.02, 0.04, default=0.03, space='entry', decimals=3, optimize=False, load=True) entry_rsi_7 = DecimalParameter(24.0, 50.0, default=37.0, space='entry', decimals=1, optimize=False, load=True) entry_volume_8 = DecimalParameter(1.0, 6.0, default=2.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_8 = DecimalParameter(16.0, 30.0, default=29.0, space='entry', decimals=1, optimize=False, load=True) entry_tail_diff_8 = DecimalParameter(3.0, 10.0, default=3.5, space='entry', decimals=1, optimize=False, load=True) entry_ma_offset_9 = DecimalParameter(0.91, 0.94, default=0.922, space='entry', decimals=3, optimize=False, load=True) entry_bb_offset_9 = DecimalParameter(0.96, 0.98, default=0.942, space='entry', decimals=3, optimize=False, load=True) entry_rsi_1h_min_9 = DecimalParameter(26.0, 40.0, default=30.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_max_9 = DecimalParameter(70.0, 90.0, default=88.0, space='entry', decimals=1, optimize=False, load=True) entry_mfi_9 = DecimalParameter(36.0, 56.0, default=50.0, space='entry', decimals=1, optimize=False, load=True) entry_ma_offset_10 = DecimalParameter(0.93, 0.97, default=0.948, space='entry', decimals=3, optimize=False, load=True) entry_bb_offset_10 = DecimalParameter(0.97, 0.99, default=0.985, space='entry', decimals=3, optimize=False, load=True) entry_rsi_1h_10 = DecimalParameter(20.0, 40.0, default=37.0, space='entry', decimals=1, optimize=False, load=True) entry_ma_offset_11 = DecimalParameter(0.93, 0.99, default=0.934, space='entry', decimals=3, optimize=False, load=True) entry_min_inc_11 = DecimalParameter(0.005, 0.05, default=0.01, space='entry', decimals=3, optimize=False, load=True) entry_rsi_1h_min_11 = DecimalParameter(40.0, 60.0, default=55.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_max_11 = DecimalParameter(70.0, 90.0, default=84.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_11 = DecimalParameter(34.0, 50.0, default=48.0, space='entry', decimals=1, optimize=False, load=True) entry_mfi_11 = DecimalParameter(30.0, 46.0, default=36.0, space='entry', decimals=1, optimize=False, load=True) entry_ma_offset_12 = DecimalParameter(0.93, 0.97, default=0.922, space='entry', decimals=3, optimize=False, load=True) entry_rsi_12 = DecimalParameter(26.0, 40.0, default=30.0, space='entry', decimals=1, optimize=False, load=True) entry_ewo_12 = DecimalParameter(1.0, 6.0, default=1.8, space='entry', decimals=1, optimize=False, load=True) entry_ma_offset_13 = DecimalParameter(0.93, 0.98, default=0.99, space='entry', decimals=3, optimize=False, load=True) entry_ewo_13 = DecimalParameter(-14.0, -7.0, default=-11.4, space='entry', decimals=1, optimize=False, load=True) entry_ema_open_mult_14 = DecimalParameter(0.01, 0.03, default=0.014, space='entry', decimals=3, optimize=False, load=True) entry_bb_offset_14 = DecimalParameter(0.98, 1.0, default=0.988, space='entry', decimals=3, optimize=False, load=True) entry_ma_offset_14 = DecimalParameter(0.93, 0.99, default=0.98, space='entry', decimals=3, optimize=False, load=True) entry_ema_open_mult_15 = DecimalParameter(0.01, 0.03, default=0.018, space='entry', decimals=3, optimize=False, load=True) entry_ma_offset_15 = DecimalParameter(0.93, 0.99, default=0.954, space='entry', decimals=3, optimize=False, load=True) entry_rsi_15 = DecimalParameter(20.0, 36.0, default=28.0, space='entry', decimals=1, optimize=False, load=True) entry_ema_rel_15 = DecimalParameter(0.97, 0.999, default=0.988, space='entry', decimals=3, optimize=False, load=True) entry_ma_offset_16 = DecimalParameter(0.93, 0.97, default=0.952, space='entry', decimals=3, optimize=False, load=True) entry_rsi_16 = DecimalParameter(26.0, 50.0, default=31.0, space='entry', decimals=1, optimize=False, load=True) entry_ewo_16 = DecimalParameter(2.0, 6.0, default=2.8, space='entry', decimals=1, optimize=False, load=True) entry_ma_offset_17 = DecimalParameter(0.93, 0.98, default=0.952, space='entry', decimals=3, optimize=False, load=True) entry_ewo_17 = DecimalParameter(-18.0, -10.0, default=-12.8, space='entry', decimals=1, optimize=False, load=True) entry_rsi_18 = DecimalParameter(16.0, 32.0, default=26.0, space='entry', decimals=1, optimize=False, load=True) entry_bb_offset_18 = DecimalParameter(0.98, 1.0, default=0.982, space='entry', decimals=3, optimize=False, load=True) entry_rsi_1h_min_19 = DecimalParameter(40.0, 70.0, default=50.0, space='entry', decimals=1, optimize=False, load=True) entry_chop_min_19 = DecimalParameter(20.0, 60.0, default=24.1, space='entry', decimals=1, optimize=False, load=True) entry_rsi_20 = DecimalParameter(20.0, 36.0, default=27.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_20 = DecimalParameter(14.0, 30.0, default=20.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_21 = DecimalParameter(10.0, 28.0, default=23.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_21 = DecimalParameter(18.0, 40.0, default=24.0, space='entry', decimals=1, optimize=False, load=True) entry_volume_22 = DecimalParameter(0.5, 6.0, default=3.0, space='entry', decimals=1, optimize=False, load=True) entry_bb_offset_22 = DecimalParameter(0.98, 1.0, default=0.98, space='entry', decimals=3, optimize=False, load=True) entry_ma_offset_22 = DecimalParameter(0.93, 0.98, default=0.94, space='entry', decimals=3, optimize=False, load=True) entry_ewo_22 = DecimalParameter(2.0, 10.0, default=4.2, space='entry', decimals=1, optimize=False, load=True) entry_rsi_22 = DecimalParameter(26.0, 56.0, default=37.0, space='entry', decimals=1, optimize=False, load=True) entry_bb_offset_23 = DecimalParameter(0.97, 1.0, default=0.987, space='entry', decimals=3, optimize=False, load=True) entry_ewo_23 = DecimalParameter(2.0, 10.0, default=7.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_23 = DecimalParameter(20.0, 40.0, default=30.0, space='entry', decimals=1, optimize=False, load=True) entry_rsi_1h_23 = DecimalParameter(60.0, 80.0, default=70.0, space='entry', decimals=1, optimize=False, load=True) entry_24_rsi_max = DecimalParameter(26.0, 60.0, default=60.0, space='entry', decimals=1, optimize=False, load=True) entry_24_rsi_1h_min = DecimalParameter(40.0, 90.0, default=66.9, space='entry', decimals=1, optimize=False, load=True) entry_26_zema_low_offset = DecimalParameter(0.9, 0.99, default=0.93, space='entry', optimize=entry_26_parameters__optimize, load=True) # Sell exit_condition_1_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) exit_condition_2_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) exit_condition_3_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) exit_condition_4_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) exit_condition_5_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) exit_condition_6_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) exit_condition_7_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) exit_condition_8_enable = CategoricalParameter([True, False], default=True, space='exit', optimize=False, load=True) # 48h for pump exit checks exit_pump_threshold_48_1 = DecimalParameter(0.5, 1.2, default=0.9, space='exit', decimals=2, optimize=False, load=True) exit_pump_threshold_48_2 = DecimalParameter(0.4, 0.9, default=0.7, space='exit', decimals=2, optimize=False, load=True) exit_pump_threshold_48_3 = DecimalParameter(0.3, 0.7, default=0.5, space='exit', decimals=2, optimize=False, load=True) # 36h for pump exit checks exit_pump_threshold_36_1 = DecimalParameter(0.5, 0.9, default=0.72, space='exit', decimals=2, optimize=False, load=True) exit_pump_threshold_36_2 = DecimalParameter(3.0, 6.0, default=4.0, space='exit', decimals=2, optimize=False, load=True) exit_pump_threshold_36_3 = DecimalParameter(0.8, 1.6, default=1.0, space='exit', decimals=2, optimize=False, load=True) # 24h for pump exit checks exit_pump_threshold_24_1 = DecimalParameter(0.5, 0.9, default=0.68, space='exit', decimals=2, optimize=False, load=True) exit_pump_threshold_24_2 = DecimalParameter(0.3, 0.6, default=0.62, space='exit', decimals=2, optimize=False, load=True) exit_pump_threshold_24_3 = DecimalParameter(0.2, 0.5, default=0.88, space='exit', decimals=2, optimize=False, load=True) exit_rsi_bb_1 = DecimalParameter(60.0, 80.0, default=79.5, space='exit', decimals=1, optimize=False, load=True) exit_rsi_bb_2 = DecimalParameter(72.0, 90.0, default=81, space='exit', decimals=1, optimize=False, load=True) exit_rsi_main_3 = DecimalParameter(77.0, 90.0, default=82, space='exit', decimals=1, optimize=False, load=True) exit_dual_rsi_rsi_4 = DecimalParameter(72.0, 84.0, default=73.4, space='exit', decimals=1, optimize=False, load=True) exit_dual_rsi_rsi_1h_4 = DecimalParameter(78.0, 92.0, default=79.6, space='exit', decimals=1, optimize=False, load=True) exit_ema_relative_5 = DecimalParameter(0.005, 0.05, default=0.024, space='exit', optimize=False, load=True) exit_rsi_diff_5 = DecimalParameter(0.0, 20.0, default=4.4, space='exit', optimize=False, load=True) exit_rsi_under_6 = DecimalParameter(72.0, 90.0, default=79.0, space='exit', decimals=1, optimize=False, load=True) exit_rsi_1h_7 = DecimalParameter(80.0, 95.0, default=81.7, space='exit', decimals=1, optimize=False, load=True) exit_bb_relative_8 = DecimalParameter(1.05, 1.3, default=1.1, space='exit', decimals=3, optimize=False, load=True) exit_custom_profit_0 = DecimalParameter(0.01, 0.1, default=0.01, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_0 = DecimalParameter(30.0, 40.0, default=34.0, space='exit', decimals=3, optimize=False, load=True) exit_custom_profit_1 = DecimalParameter(0.01, 0.1, default=0.02, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_1 = DecimalParameter(30.0, 50.0, default=35.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_2 = DecimalParameter(0.01, 0.1, default=0.03, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_2 = DecimalParameter(30.0, 50.0, default=37.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_3 = DecimalParameter(0.01, 0.1, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_3 = DecimalParameter(30.0, 50.0, default=42.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_4 = DecimalParameter(0.01, 0.1, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_4 = DecimalParameter(35.0, 50.0, default=43.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_5 = DecimalParameter(0.01, 0.1, default=0.06, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_5 = DecimalParameter(35.0, 50.0, default=45.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_6 = DecimalParameter(0.01, 0.1, default=0.07, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_6 = DecimalParameter(38.0, 55.0, default=48.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_7 = DecimalParameter(0.01, 0.1, default=0.08, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_7 = DecimalParameter(40.0, 58.0, default=54.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_8 = DecimalParameter(0.06, 0.1, default=0.09, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_8 = DecimalParameter(40.0, 50.0, default=55.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_9 = DecimalParameter(0.05, 0.14, default=0.1, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_9 = DecimalParameter(40.0, 60.0, default=54.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_10 = DecimalParameter(0.1, 0.14, default=0.12, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_10 = DecimalParameter(38.0, 50.0, default=42.0, space='exit', decimals=2, optimize=False, load=True) exit_custom_profit_11 = DecimalParameter(0.16, 0.45, default=0.2, space='exit', decimals=3, optimize=False, load=True) exit_custom_rsi_11 = DecimalParameter(28.0, 40.0, default=34.0, space='exit', decimals=2, optimize=False, load=True) # Profit under EMA200 exit_custom_under_profit_0 = DecimalParameter(0.01, 0.4, default=0.01, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_0 = DecimalParameter(28.0, 40.0, default=35.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_1 = DecimalParameter(0.01, 0.1, default=0.02, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_1 = DecimalParameter(36.0, 60.0, default=56.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_2 = DecimalParameter(0.01, 0.1, default=0.03, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_2 = DecimalParameter(46.0, 66.0, default=57.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_3 = DecimalParameter(0.01, 0.1, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_3 = DecimalParameter(50.0, 68.0, default=58.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_4 = DecimalParameter(0.02, 0.1, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_4 = DecimalParameter(50.0, 68.0, default=59.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_5 = DecimalParameter(0.02, 0.1, default=0.06, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_5 = DecimalParameter(46.0, 62.0, default=60.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_6 = DecimalParameter(0.03, 0.1, default=0.07, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_6 = DecimalParameter(44.0, 60.0, default=56.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_7 = DecimalParameter(0.04, 0.1, default=0.08, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_7 = DecimalParameter(46.0, 60.0, default=54.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_8 = DecimalParameter(0.06, 0.12, default=0.09, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_8 = DecimalParameter(40.0, 58.0, default=55.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_9 = DecimalParameter(0.08, 0.14, default=0.1, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_9 = DecimalParameter(40.0, 60.0, default=54.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_10 = DecimalParameter(0.1, 0.16, default=0.12, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_10 = DecimalParameter(30.0, 50.0, default=42.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_under_profit_11 = DecimalParameter(0.16, 0.3, default=0.2, space='exit', decimals=3, optimize=False, load=True) exit_custom_under_rsi_11 = DecimalParameter(24.0, 40.0, default=34.0, space='exit', decimals=1, optimize=False, load=True) # Profit targets for pumped pairs 48h 1 exit_custom_pump_profit_1_1 = DecimalParameter(0.01, 0.03, default=0.01, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_1_1 = DecimalParameter(26.0, 40.0, default=34.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_1_2 = DecimalParameter(0.01, 0.6, default=0.02, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_1_2 = DecimalParameter(36.0, 50.0, default=40.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_1_3 = DecimalParameter(0.02, 0.1, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_1_3 = DecimalParameter(38.0, 50.0, default=42.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_1_4 = DecimalParameter(0.06, 0.12, default=0.1, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_1_4 = DecimalParameter(36.0, 48.0, default=42.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_1_5 = DecimalParameter(0.14, 0.24, default=0.2, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_1_5 = DecimalParameter(20.0, 40.0, default=34.0, space='exit', decimals=1, optimize=False, load=True) # Profit targets for pumped pairs 36h 1 exit_custom_pump_profit_2_1 = DecimalParameter(0.01, 0.03, default=0.01, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_2_1 = DecimalParameter(26.0, 40.0, default=34.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_2_2 = DecimalParameter(0.01, 0.6, default=0.02, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_2_2 = DecimalParameter(36.0, 50.0, default=40.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_2_3 = DecimalParameter(0.02, 0.1, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_2_3 = DecimalParameter(38.0, 50.0, default=40.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_2_4 = DecimalParameter(0.06, 0.12, default=0.1, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_2_4 = DecimalParameter(36.0, 48.0, default=42.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_2_5 = DecimalParameter(0.14, 0.24, default=0.2, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_2_5 = DecimalParameter(20.0, 40.0, default=34.0, space='exit', decimals=1, optimize=False, load=True) # Profit targets for pumped pairs 24h 1 exit_custom_pump_profit_3_1 = DecimalParameter(0.01, 0.03, default=0.01, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_3_1 = DecimalParameter(26.0, 40.0, default=34.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_3_2 = DecimalParameter(0.01, 0.6, default=0.02, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_3_2 = DecimalParameter(34.0, 50.0, default=40.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_3_3 = DecimalParameter(0.02, 0.1, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_3_3 = DecimalParameter(38.0, 50.0, default=40.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_3_4 = DecimalParameter(0.06, 0.12, default=0.1, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_3_4 = DecimalParameter(36.0, 48.0, default=42.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_profit_3_5 = DecimalParameter(0.14, 0.24, default=0.2, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_rsi_3_5 = DecimalParameter(20.0, 40.0, default=34.0, space='exit', decimals=1, optimize=False, load=True) # SMA descending exit_custom_dec_profit_min_1 = DecimalParameter(0.01, 0.1, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_dec_profit_max_1 = DecimalParameter(0.06, 0.16, default=0.12, space='exit', decimals=3, optimize=False, load=True) # Under EMA100 exit_custom_dec_profit_min_2 = DecimalParameter(0.05, 0.12, default=0.07, space='exit', decimals=3, optimize=False, load=True) exit_custom_dec_profit_max_2 = DecimalParameter(0.06, 0.2, default=0.16, space='exit', decimals=3, optimize=False, load=True) # Trail 1 exit_trail_profit_min_1 = DecimalParameter(0.1, 0.2, default=0.16, space='exit', decimals=2, optimize=False, load=True) exit_trail_profit_max_1 = DecimalParameter(0.4, 0.7, default=0.6, space='exit', decimals=2, optimize=False, load=True) exit_trail_down_1 = DecimalParameter(0.01, 0.08, default=0.03, space='exit', decimals=3, optimize=False, load=True) exit_trail_rsi_min_1 = DecimalParameter(16.0, 36.0, default=20.0, space='exit', decimals=1, optimize=False, load=True) exit_trail_rsi_max_1 = DecimalParameter(30.0, 50.0, default=50.0, space='exit', decimals=1, optimize=False, load=True) # Trail 2 exit_trail_profit_min_2 = DecimalParameter(0.08, 0.16, default=0.1, space='exit', decimals=3, optimize=False, load=True) exit_trail_profit_max_2 = DecimalParameter(0.3, 0.5, default=0.4, space='exit', decimals=2, optimize=False, load=True) exit_trail_down_2 = DecimalParameter(0.02, 0.08, default=0.03, space='exit', decimals=3, optimize=False, load=True) exit_trail_rsi_min_2 = DecimalParameter(16.0, 36.0, default=20.0, space='exit', decimals=1, optimize=False, load=True) exit_trail_rsi_max_2 = DecimalParameter(30.0, 50.0, default=50.0, space='exit', decimals=1, optimize=False, load=True) # Trail 3 exit_trail_profit_min_3 = DecimalParameter(0.01, 0.12, default=0.06, space='exit', decimals=3, optimize=False, load=True) exit_trail_profit_max_3 = DecimalParameter(0.1, 0.3, default=0.2, space='exit', decimals=2, optimize=False, load=True) exit_trail_down_3 = DecimalParameter(0.01, 0.06, default=0.05, space='exit', decimals=3, optimize=False, load=True) # Under & near EMA200, accept profit exit_custom_profit_under_rel_1 = DecimalParameter(0.01, 0.04, default=0.024, space='exit', optimize=False, load=True) exit_custom_profit_under_rsi_diff_1 = DecimalParameter(0.0, 20.0, default=4.4, space='exit', optimize=False, load=True) # Under & near EMA200, take the loss exit_custom_stoploss_under_rel_1 = DecimalParameter(0.001, 0.02, default=0.004, space='exit', optimize=False, load=True) exit_custom_stoploss_under_rsi_diff_1 = DecimalParameter(0.0, 20.0, default=10.0, space='exit', optimize=False, load=True) # Long duration/recover stoploss 1 exit_custom_stoploss_long_profit_min_1 = DecimalParameter(-0.1, -0.02, default=-0.08, space='exit', optimize=False, load=True) exit_custom_stoploss_long_profit_max_1 = DecimalParameter(-0.06, -0.01, default=-0.04, space='exit', optimize=False, load=True) exit_custom_stoploss_long_recover_1 = DecimalParameter(0.05, 0.15, default=0.1, space='exit', optimize=False, load=True) exit_custom_stoploss_long_rsi_diff_1 = DecimalParameter(0.0, 20.0, default=4.0, space='exit', optimize=False, load=True) # Long duration/recover stoploss 2 exit_custom_stoploss_long_recover_2 = DecimalParameter(0.03, 0.15, default=0.06, space='exit', optimize=False, load=True) exit_custom_stoploss_long_rsi_diff_2 = DecimalParameter(30.0, 50.0, default=40.0, space='exit', optimize=False, load=True) # Pumped, descending SMA exit_custom_pump_dec_profit_min_1 = DecimalParameter(0.001, 0.04, default=0.005, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_dec_profit_max_1 = DecimalParameter(0.03, 0.08, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_dec_profit_min_2 = DecimalParameter(0.01, 0.08, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_dec_profit_max_2 = DecimalParameter(0.04, 0.1, default=0.06, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_dec_profit_min_3 = DecimalParameter(0.02, 0.1, default=0.06, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_dec_profit_max_3 = DecimalParameter(0.06, 0.12, default=0.09, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_dec_profit_min_4 = DecimalParameter(0.01, 0.05, default=0.02, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_dec_profit_max_4 = DecimalParameter(0.02, 0.1, default=0.04, space='exit', decimals=3, optimize=False, load=True) # Pumped 48h 1, under EMA200 exit_custom_pump_under_profit_min_1 = DecimalParameter(0.02, 0.06, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_under_profit_max_1 = DecimalParameter(0.04, 0.1, default=0.09, space='exit', decimals=3, optimize=False, load=True) # Pumped trail 1 exit_custom_pump_trail_profit_min_1 = DecimalParameter(0.01, 0.12, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_trail_profit_max_1 = DecimalParameter(0.06, 0.16, default=0.07, space='exit', decimals=2, optimize=False, load=True) exit_custom_pump_trail_down_1 = DecimalParameter(0.01, 0.06, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_pump_trail_rsi_min_1 = DecimalParameter(16.0, 36.0, default=20.0, space='exit', decimals=1, optimize=False, load=True) exit_custom_pump_trail_rsi_max_1 = DecimalParameter(30.0, 50.0, default=70.0, space='exit', decimals=1, optimize=False, load=True) # Stoploss, pumped, 48h 1 exit_custom_stoploss_pump_max_profit_1 = DecimalParameter(0.01, 0.04, default=0.025, space='exit', decimals=3, optimize=False, load=True) exit_custom_stoploss_pump_min_1 = DecimalParameter(-0.1, -0.01, default=-0.02, space='exit', decimals=3, optimize=False, load=True) exit_custom_stoploss_pump_max_1 = DecimalParameter(-0.1, -0.01, default=-0.01, space='exit', decimals=3, optimize=False, load=True) exit_custom_stoploss_pump_ma_offset_1 = DecimalParameter(0.7, 0.99, default=0.94, space='exit', decimals=2, optimize=False, load=True) # Stoploss, pumped, 48h 1 exit_custom_stoploss_pump_max_profit_2 = DecimalParameter(0.01, 0.04, default=0.025, space='exit', decimals=3, optimize=False, load=True) exit_custom_stoploss_pump_loss_2 = DecimalParameter(-0.1, -0.01, default=-0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_stoploss_pump_ma_offset_2 = DecimalParameter(0.7, 0.99, default=0.92, space='exit', decimals=2, optimize=False, load=True) # Stoploss, pumped, 36h 3 exit_custom_stoploss_pump_max_profit_3 = DecimalParameter(0.01, 0.04, default=0.008, space='exit', decimals=3, optimize=False, load=True) exit_custom_stoploss_pump_loss_3 = DecimalParameter(-0.16, -0.06, default=-0.12, space='exit', decimals=3, optimize=False, load=True) exit_custom_stoploss_pump_ma_offset_3 = DecimalParameter(0.7, 0.99, default=0.88, space='exit', decimals=2, optimize=False, load=True) # Recover exit_custom_recover_profit_1 = DecimalParameter(0.01, 0.06, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_recover_min_loss_1 = DecimalParameter(0.06, 0.16, default=0.12, space='exit', decimals=3, optimize=False, load=True) exit_custom_recover_profit_min_2 = DecimalParameter(0.01, 0.04, default=0.01, space='exit', decimals=3, optimize=False, load=True) exit_custom_recover_profit_max_2 = DecimalParameter(0.02, 0.08, default=0.05, space='exit', decimals=3, optimize=False, load=True) exit_custom_recover_min_loss_2 = DecimalParameter(0.04, 0.16, default=0.06, space='exit', decimals=3, optimize=False, load=True) exit_custom_recover_rsi_2 = DecimalParameter(32.0, 52.0, default=46.0, space='exit', decimals=1, optimize=False, load=True) # Profit for long duration trades exit_custom_long_profit_min_1 = DecimalParameter(0.01, 0.04, default=0.03, space='exit', decimals=3, optimize=False, load=True) exit_custom_long_profit_max_1 = DecimalParameter(0.02, 0.08, default=0.04, space='exit', decimals=3, optimize=False, load=True) exit_custom_long_duration_min_1 = IntParameter(700, 2000, default=900, space='exit', optimize=False, load=True) ############################################################# def get_ticker_indicator(self): return int(self.timeframe[:-1]) def custom_exit(self, pair: str, trade: 'Trade', current_time: 'datetime', current_rate: float, current_profit: float, **kwargs): dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) last_candle = dataframe.iloc[-1].squeeze() max_profit = (trade.max_rate - trade.open_rate) / trade.open_rate max_loss = (trade.open_rate - trade.min_rate) / trade.min_rate if last_candle is not None: if (current_profit > self.exit_custom_profit_11.value) & (last_candle['rsi'] < self.exit_custom_rsi_11.value): return 'signal_profit_11' if (self.exit_custom_profit_11.value > current_profit > self.exit_custom_profit_10.value) & (last_candle['rsi'] < self.exit_custom_rsi_10.value): return 'signal_profit_10' if (self.exit_custom_profit_10.value > current_profit > self.exit_custom_profit_9.value) & (last_candle['rsi'] < self.exit_custom_rsi_9.value): return 'signal_profit_9' if (self.exit_custom_profit_9.value > current_profit > self.exit_custom_profit_8.value) & (last_candle['rsi'] < self.exit_custom_rsi_8.value): return 'signal_profit_8' if (self.exit_custom_profit_8.value > current_profit > self.exit_custom_profit_7.value) & (last_candle['rsi'] < self.exit_custom_rsi_7.value): return 'signal_profit_7' if (self.exit_custom_profit_7.value > current_profit > self.exit_custom_profit_6.value) & (last_candle['rsi'] < self.exit_custom_rsi_6.value): return 'signal_profit_6' if (self.exit_custom_profit_6.value > current_profit > self.exit_custom_profit_5.value) & (last_candle['rsi'] < self.exit_custom_rsi_5.value): return 'signal_profit_5' elif (self.exit_custom_profit_5.value > current_profit > self.exit_custom_profit_4.value) & (last_candle['rsi'] < self.exit_custom_rsi_4.value): return 'signal_profit_4' elif (self.exit_custom_profit_4.value > current_profit > self.exit_custom_profit_3.value) & (last_candle['rsi'] < self.exit_custom_rsi_3.value): return 'signal_profit_3' elif (self.exit_custom_profit_3.value > current_profit > self.exit_custom_profit_2.value) & (last_candle['rsi'] < self.exit_custom_rsi_2.value): return 'signal_profit_2' elif (self.exit_custom_profit_2.value > current_profit > self.exit_custom_profit_1.value) & (last_candle['rsi'] < self.exit_custom_rsi_1.value): return 'signal_profit_1' elif (self.exit_custom_profit_1.value > current_profit > self.exit_custom_profit_0.value) & (last_candle['rsi'] < self.exit_custom_rsi_0.value): return 'signal_profit_0' # check if close is under EMA200 elif (current_profit > self.exit_custom_under_profit_11.value) & (last_candle['rsi'] < self.exit_custom_under_rsi_11.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_11' elif (self.exit_custom_under_profit_11.value > current_profit > self.exit_custom_under_profit_10.value) & (last_candle['rsi'] < self.exit_custom_under_rsi_10.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_10' elif (self.exit_custom_under_profit_10.value > current_profit > self.exit_custom_under_profit_9.value) & (last_candle['rsi'] < self.exit_custom_under_rsi_9.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_9' elif (self.exit_custom_under_profit_9.value > current_profit > self.exit_custom_under_profit_8.value) & (last_candle['rsi'] < self.exit_custom_under_rsi_8.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_8' elif (self.exit_custom_under_profit_8.value > current_profit > self.exit_custom_under_profit_7.value) & (last_candle['rsi'] < self.exit_custom_under_rsi_7.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_7' elif (self.exit_custom_under_profit_7.value > current_profit > self.exit_custom_under_profit_6.value) & (last_candle['rsi'] < self.exit_custom_under_rsi_6.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_6' elif (self.exit_custom_under_profit_6.value > current_profit > self.exit_custom_under_profit_5.value) & (last_candle['rsi'] < self.exit_custom_under_rsi_5.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_5' elif (self.exit_custom_under_profit_5.value > current_profit > self.exit_custom_under_profit_4.value) & (last_candle['rsi'] < self.exit_custom_under_rsi_4.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_4' elif (self.exit_custom_under_profit_4.value > current_profit > self.exit_custom_under_profit_3.value) & (last_candle['rsi'] < self.exit_custom_under_rsi_3.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_3' elif (self.exit_custom_under_profit_3.value > current_profit > self.exit_custom_under_profit_2.value) & (last_candle['rsi'] < self.exit_custom_under_rsi_2.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_2' elif (self.exit_custom_under_profit_2.value > current_profit > self.exit_custom_under_profit_1.value) & (last_candle['rsi'] < self.exit_custom_under_rsi_1.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_1' elif (self.exit_custom_under_profit_1.value > current_profit > self.exit_custom_under_profit_0.value) & (last_candle['rsi'] < self.exit_custom_under_rsi_0.value) & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_u_0' # check if the pair is "pumped" elif last_candle['exit_pump_48_1_1h'] & (current_profit > self.exit_custom_pump_profit_1_5.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_1_5.value): return 'signal_profit_p_1_5' elif last_candle['exit_pump_48_1_1h'] & (self.exit_custom_pump_profit_1_5.value > current_profit > self.exit_custom_pump_profit_1_4.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_1_4.value): return 'signal_profit_p_1_4' elif last_candle['exit_pump_48_1_1h'] & (self.exit_custom_pump_profit_1_4.value > current_profit > self.exit_custom_pump_profit_1_3.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_1_3.value): return 'signal_profit_p_1_3' elif last_candle['exit_pump_48_1_1h'] & (self.exit_custom_pump_profit_1_3.value > current_profit > self.exit_custom_pump_profit_1_2.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_1_2.value): return 'signal_profit_p_1_2' elif last_candle['exit_pump_48_1_1h'] & (self.exit_custom_pump_profit_1_2.value > current_profit > self.exit_custom_pump_profit_1_1.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_1_1.value): return 'signal_profit_p_1_1' elif last_candle['exit_pump_36_1_1h'] & (current_profit > self.exit_custom_pump_profit_2_5.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_2_5.value): return 'signal_profit_p_2_5' elif last_candle['exit_pump_36_1_1h'] & (self.exit_custom_pump_profit_2_5.value > current_profit > self.exit_custom_pump_profit_2_4.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_2_4.value): return 'signal_profit_p_2_4' elif last_candle['exit_pump_36_1_1h'] & (self.exit_custom_pump_profit_2_4.value > current_profit > self.exit_custom_pump_profit_2_3.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_2_3.value): return 'signal_profit_p_2_3' elif last_candle['exit_pump_36_1_1h'] & (self.exit_custom_pump_profit_2_3.value > current_profit > self.exit_custom_pump_profit_2_2.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_2_2.value): return 'signal_profit_p_2_2' elif last_candle['exit_pump_36_1_1h'] & (self.exit_custom_pump_profit_2_2.value > current_profit > self.exit_custom_pump_profit_2_1.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_2_1.value): return 'signal_profit_p_2_1' elif last_candle['exit_pump_24_1_1h'] & (current_profit > self.exit_custom_pump_profit_3_5.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_3_5.value): return 'signal_profit_p_3_5' elif last_candle['exit_pump_24_1_1h'] & (self.exit_custom_pump_profit_3_5.value > current_profit > self.exit_custom_pump_profit_3_4.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_3_4.value): return 'signal_profit_p_3_4' elif last_candle['exit_pump_24_1_1h'] & (self.exit_custom_pump_profit_3_4.value > current_profit > self.exit_custom_pump_profit_3_3.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_3_3.value): return 'signal_profit_p_3_3' elif last_candle['exit_pump_24_1_1h'] & (self.exit_custom_pump_profit_3_3.value > current_profit > self.exit_custom_pump_profit_3_2.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_3_2.value): return 'signal_profit_p_3_2' elif last_candle['exit_pump_24_1_1h'] & (self.exit_custom_pump_profit_3_2.value > current_profit > self.exit_custom_pump_profit_3_1.value) & (last_candle['rsi'] < self.exit_custom_pump_rsi_3_1.value): return 'signal_profit_p_3_1' elif (self.exit_custom_dec_profit_max_1.value > current_profit > self.exit_custom_dec_profit_min_1.value) & last_candle['sma_200_dec_20']: return 'signal_profit_d_1' elif (self.exit_custom_dec_profit_max_2.value > current_profit > self.exit_custom_dec_profit_min_2.value) & (last_candle['close'] < last_candle['ema_100']): return 'signal_profit_d_2' # Trailing elif (self.exit_trail_profit_max_1.value > current_profit > self.exit_trail_profit_min_1.value) & (self.exit_trail_rsi_min_1.value < last_candle['rsi'] < self.exit_trail_rsi_max_1.value) & (max_profit > current_profit + self.exit_trail_down_1.value): return 'signal_profit_t_1' elif (self.exit_trail_profit_max_2.value > current_profit > self.exit_trail_profit_min_2.value) & (self.exit_trail_rsi_min_2.value < last_candle['rsi'] < self.exit_trail_rsi_max_2.value) & (max_profit > current_profit + self.exit_trail_down_2.value): return 'signal_profit_t_2' elif (self.exit_trail_profit_max_3.value > current_profit > self.exit_trail_profit_min_3.value) & (max_profit > current_profit + self.exit_trail_down_3.value) & last_candle['sma_200_dec_20_1h']: return 'signal_profit_t_3' elif (last_candle['close'] < last_candle['ema_200']) & (current_profit > self.exit_trail_profit_min_3.value) & (current_profit < self.exit_trail_profit_max_3.value) & (max_profit > current_profit + self.exit_trail_down_3.value): return 'signal_profit_u_t_1' # elif (last_candle['exit_pump_48_1_1h']) & (0.06 > current_profit > 0.04) & (last_candle['rsi'] < 54.0) & (current_time - timedelta(minutes=30) < trade.open_date_utc): # return 'signal_profit_p_s_1' elif (current_profit > 0.0) & (last_candle['close'] < last_candle['ema_200']) & ((last_candle['ema_200'] - last_candle['close']) / last_candle['close'] < self.exit_custom_profit_under_rel_1.value) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.exit_custom_profit_under_rsi_diff_1.value): return 'signal_profit_u_e_1' elif (current_profit < -0.0) & (last_candle['close'] < last_candle['ema_200']) & ((last_candle['ema_200'] - last_candle['close']) / last_candle['close'] < self.exit_custom_stoploss_under_rel_1.value) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.exit_custom_stoploss_under_rsi_diff_1.value) & last_candle['sma_200_dec_24'] & (current_time - timedelta(minutes=720) > trade.open_date_utc): return 'signal_stoploss_u_1' elif (self.exit_custom_stoploss_long_profit_min_1.value < current_profit < self.exit_custom_stoploss_long_profit_max_1.value) & (current_profit > -max_loss + self.exit_custom_stoploss_long_recover_1.value) & (last_candle['close'] < last_candle['ema_200']) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.exit_custom_stoploss_long_rsi_diff_1.value) & last_candle['sma_200_dec_24'] & (current_time - timedelta(minutes=1200) > trade.open_date_utc): return 'signal_stoploss_l_r_u_1' elif (current_profit < -0.0) & (current_profit > -max_loss + self.exit_custom_stoploss_long_recover_2.value) & (last_candle['close'] < last_candle['ema_200']) & (last_candle['rsi'] > last_candle['rsi_1h'] + self.exit_custom_stoploss_long_rsi_diff_2.value) & last_candle['sma_200_dec_24'] & (current_time - timedelta(minutes=1200) > trade.open_date_utc): return 'signal_stoploss_l_r_u_2' elif (self.exit_custom_pump_dec_profit_max_1.value > current_profit > self.exit_custom_pump_dec_profit_min_1.value) & last_candle['exit_pump_48_1_1h'] & last_candle['sma_200_dec_20'] & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_p_d_1' elif (self.exit_custom_pump_dec_profit_max_2.value > current_profit > self.exit_custom_pump_dec_profit_min_2.value) & last_candle['exit_pump_48_2_1h'] & last_candle['sma_200_dec_20'] & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_p_d_2' elif (self.exit_custom_pump_dec_profit_max_3.value > current_profit > self.exit_custom_pump_dec_profit_min_3.value) & last_candle['exit_pump_48_3_1h'] & last_candle['sma_200_dec_20'] & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_p_d_3' elif (self.exit_custom_pump_dec_profit_max_4.value > current_profit > self.exit_custom_pump_dec_profit_min_4.value) & last_candle['sma_200_dec_20'] & last_candle['exit_pump_24_2_1h']: return 'signal_profit_p_d_4' # Pumped 48h 1, under EMA200 elif (self.exit_custom_pump_under_profit_max_1.value > current_profit > self.exit_custom_pump_under_profit_min_1.value) & last_candle['exit_pump_48_1_1h'] & (last_candle['close'] < last_candle['ema_200']): return 'signal_profit_p_u_1' # Pumped 36h 2, trail 1 elif last_candle['exit_pump_36_2_1h'] & (self.exit_custom_pump_trail_profit_max_1.value > current_profit > self.exit_custom_pump_trail_profit_min_1.value) & (self.exit_custom_pump_trail_rsi_min_1.value < last_candle['rsi'] < self.exit_custom_pump_trail_rsi_max_1.value) & (max_profit > current_profit + self.exit_custom_pump_trail_down_1.value): return 'signal_profit_p_t_1' # elif (max_profit < self.exit_custom_stoploss_pump_max_profit_1.value) & (self.exit_custom_stoploss_pump_min_1.value < current_profit < self.exit_custom_stoploss_pump_max_1.value) & (last_candle['exit_pump_48_1_1h']) & (last_candle['sma_200_dec_20']) & (last_candle['close'] < (last_candle['ema_200'] * self.exit_custom_stoploss_pump_ma_offset_1.value)): # return 'signal_stoploss_p_1' elif (max_profit < self.exit_custom_stoploss_pump_max_profit_2.value) & (current_profit < self.exit_custom_stoploss_pump_loss_2.value) & last_candle['exit_pump_48_1_1h'] & last_candle['sma_200_dec_20_1h'] & (last_candle['close'] < last_candle['ema_200'] * self.exit_custom_stoploss_pump_ma_offset_2.value): return 'signal_stoploss_p_2' elif (max_profit < self.exit_custom_stoploss_pump_max_profit_3.value) & (current_profit < self.exit_custom_stoploss_pump_loss_3.value) & last_candle['exit_pump_36_3_1h'] & (last_candle['close'] < last_candle['ema_200'] * self.exit_custom_stoploss_pump_ma_offset_3.value): return 'signal_stoploss_p_3' # Recover elif (max_loss > self.exit_custom_recover_min_loss_1.value) & (current_profit > self.exit_custom_recover_profit_1.value): return 'signal_profit_r_1' elif (max_loss > self.exit_custom_recover_min_loss_2.value) & (self.exit_custom_recover_profit_max_2.value > current_profit > self.exit_custom_recover_profit_min_2.value) & (last_candle['rsi'] < self.exit_custom_recover_rsi_2.value): return 'signal_profit_r_2' # Take profit for long duration trades elif (self.exit_custom_long_profit_min_1.value < current_profit < self.exit_custom_long_profit_max_1.value) & (current_time - timedelta(minutes=self.exit_custom_long_duration_min_1.value) > trade.open_date_utc): return 'signal_profit_l_1' 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, '1h') for pair in pairs] return informative_pairs def informative_1h_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: assert self.dp, 'DataProvider is required for multiple timeframes.' # Get the informative pair informative_1h = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=self.inf_1h) # EMA informative_1h['ema_12'] = ta.EMA(informative_1h, timeperiod=12) informative_1h['ema_15'] = ta.EMA(informative_1h, timeperiod=15) informative_1h['ema_20'] = ta.EMA(informative_1h, timeperiod=20) informative_1h['ema_26'] = ta.EMA(informative_1h, timeperiod=26) informative_1h['ema_35'] = ta.EMA(informative_1h, timeperiod=35) informative_1h['ema_50'] = ta.EMA(informative_1h, timeperiod=50) informative_1h['ema_100'] = ta.EMA(informative_1h, timeperiod=100) informative_1h['ema_200'] = ta.EMA(informative_1h, timeperiod=200) # SMA informative_1h['sma_200'] = ta.SMA(informative_1h, timeperiod=200) informative_1h['sma_200_dec_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) # 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['safe_pump_24_10'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_10_24.value, self.entry_pump_pull_threshold_10_24.value) informative_1h['safe_pump_36_10'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_10_36.value, self.entry_pump_pull_threshold_10_36.value) informative_1h['safe_pump_48_10'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_10_48.value, self.entry_pump_pull_threshold_10_48.value) informative_1h['safe_pump_24_20'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_20_24.value, self.entry_pump_pull_threshold_20_24.value) informative_1h['safe_pump_36_20'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_20_36.value, self.entry_pump_pull_threshold_20_36.value) informative_1h['safe_pump_48_20'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_20_48.value, self.entry_pump_pull_threshold_20_48.value) informative_1h['safe_pump_24_30'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_30_24.value, self.entry_pump_pull_threshold_30_24.value) informative_1h['safe_pump_36_30'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_30_36.value, self.entry_pump_pull_threshold_30_36.value) informative_1h['safe_pump_48_30'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_30_48.value, self.entry_pump_pull_threshold_30_48.value) informative_1h['safe_pump_24_40'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_40_24.value, self.entry_pump_pull_threshold_40_24.value) informative_1h['safe_pump_36_40'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_40_36.value, self.entry_pump_pull_threshold_40_36.value) informative_1h['safe_pump_48_40'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_40_48.value, self.entry_pump_pull_threshold_40_48.value) informative_1h['safe_pump_24_50'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_50_24.value, self.entry_pump_pull_threshold_50_24.value) informative_1h['safe_pump_36_50'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_50_36.value, self.entry_pump_pull_threshold_50_36.value) informative_1h['safe_pump_48_50'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_50_48.value, self.entry_pump_pull_threshold_50_48.value) informative_1h['safe_pump_24_60'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_60_24.value, self.entry_pump_pull_threshold_60_24.value) informative_1h['safe_pump_36_60'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_60_36.value, self.entry_pump_pull_threshold_60_36.value) informative_1h['safe_pump_48_60'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_60_48.value, self.entry_pump_pull_threshold_60_48.value) informative_1h['safe_pump_24_70'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_70_24.value, self.entry_pump_pull_threshold_70_24.value) informative_1h['safe_pump_36_70'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_70_36.value, self.entry_pump_pull_threshold_70_36.value) informative_1h['safe_pump_48_70'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_70_48.value, self.entry_pump_pull_threshold_70_48.value) informative_1h['safe_pump_24_80'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_80_24.value, self.entry_pump_pull_threshold_80_24.value) informative_1h['safe_pump_36_80'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_80_36.value, self.entry_pump_pull_threshold_80_36.value) informative_1h['safe_pump_48_80'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_80_48.value, self.entry_pump_pull_threshold_80_48.value) informative_1h['safe_pump_24_90'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_90_24.value, self.entry_pump_pull_threshold_90_24.value) informative_1h['safe_pump_36_90'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_90_36.value, self.entry_pump_pull_threshold_90_36.value) informative_1h['safe_pump_48_90'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_90_48.value, self.entry_pump_pull_threshold_90_48.value) informative_1h['safe_pump_24_100'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_100_24.value, self.entry_pump_pull_threshold_100_24.value) informative_1h['safe_pump_36_100'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_100_36.value, self.entry_pump_pull_threshold_100_36.value) informative_1h['safe_pump_48_100'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_100_48.value, self.entry_pump_pull_threshold_100_48.value) informative_1h['safe_pump_24_110'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_110_24.value, self.entry_pump_pull_threshold_110_24.value) informative_1h['safe_pump_36_110'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_110_36.value, self.entry_pump_pull_threshold_110_36.value) informative_1h['safe_pump_48_110'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_110_48.value, self.entry_pump_pull_threshold_110_48.value) informative_1h['safe_pump_24_120'] = self.safe_pump(informative_1h, 24, self.entry_pump_threshold_120_24.value, self.entry_pump_pull_threshold_120_24.value) informative_1h['safe_pump_36_120'] = self.safe_pump(informative_1h, 36, self.entry_pump_threshold_120_36.value, self.entry_pump_pull_threshold_120_36.value) informative_1h['safe_pump_48_120'] = self.safe_pump(informative_1h, 48, self.entry_pump_threshold_120_48.value, self.entry_pump_pull_threshold_120_48.value) informative_1h['exit_pump_48_1'] = informative_1h['hl_pct_change_48'] > self.exit_pump_threshold_48_1.value informative_1h['exit_pump_48_2'] = informative_1h['hl_pct_change_48'] > self.exit_pump_threshold_48_2.value informative_1h['exit_pump_48_3'] = informative_1h['hl_pct_change_48'] > self.exit_pump_threshold_48_3.value informative_1h['exit_pump_36_1'] = informative_1h['hl_pct_change_36'] > self.exit_pump_threshold_36_1.value informative_1h['exit_pump_36_2'] = informative_1h['hl_pct_change_36'] > self.exit_pump_threshold_36_2.value informative_1h['exit_pump_36_3'] = informative_1h['hl_pct_change_36'] > self.exit_pump_threshold_36_3.value informative_1h['exit_pump_24_1'] = informative_1h['hl_pct_change_24'] > self.exit_pump_threshold_24_1.value informative_1h['exit_pump_24_2'] = informative_1h['hl_pct_change_24'] > self.exit_pump_threshold_24_2.value informative_1h['exit_pump_24_3'] = informative_1h['hl_pct_change_24'] > self.exit_pump_threshold_24_3.value return informative_1h def normal_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: # BB 40 - STD2 bb_40_std2 = qtpylib.bollinger_bands(dataframe['close'], window=40, stds=2) dataframe['bb40_2_low'] = bb_40_std2['lower'] dataframe['bb40_2_mid'] = bb_40_std2['mid'] dataframe['bb40_2_delta'] = (bb_40_std2['mid'] - dataframe['bb40_2_low']).abs() dataframe['closedelta'] = (dataframe['close'] - dataframe['close'].shift()).abs() dataframe['tail'] = (dataframe['close'] - dataframe['bb40_2_low']).abs() # BB 20 - STD2 bb_20_std2 = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2) dataframe['bb20_2_low'] = bb_20_std2['lower'] dataframe['bb20_2_mid'] = bb_20_std2['mid'] dataframe['bb20_2_upp'] = bb_20_std2['upper'] # EMA 200 dataframe['ema_12'] = ta.EMA(dataframe, timeperiod=12) dataframe['ema_15'] = ta.EMA(dataframe, timeperiod=15) dataframe['ema_20'] = ta.EMA(dataframe, timeperiod=20) 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_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) # EWO dataframe['ewo'] = EWO(dataframe, 50, 200) # RSI dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14) # Chopiness dataframe['chop'] = qtpylib.chopiness(dataframe, 14) # Zero-Lag EMA dataframe['zema'] = zema(dataframe, period=61) # Dip protection dataframe['tpct_change_0'] = self.top_percent_change(dataframe, 0) dataframe['tpct_change_2'] = self.top_percent_change(dataframe, 2) dataframe['tpct_change_12'] = self.top_percent_change(dataframe, 12) dataframe['tpct_change_144'] = self.top_percent_change(dataframe, 144) dataframe['safe_dips_10'] = self.safe_dips(dataframe, self.entry_dip_threshold_10_1.value, self.entry_dip_threshold_10_2.value, self.entry_dip_threshold_10_3.value, self.entry_dip_threshold_10_4.value) dataframe['safe_dips_20'] = self.safe_dips(dataframe, self.entry_dip_threshold_20_1.value, self.entry_dip_threshold_20_2.value, self.entry_dip_threshold_20_3.value, self.entry_dip_threshold_20_4.value) dataframe['safe_dips_30'] = self.safe_dips(dataframe, self.entry_dip_threshold_30_1.value, self.entry_dip_threshold_30_2.value, self.entry_dip_threshold_30_3.value, self.entry_dip_threshold_30_4.value) dataframe['safe_dips_40'] = self.safe_dips(dataframe, self.entry_dip_threshold_40_1.value, self.entry_dip_threshold_40_2.value, self.entry_dip_threshold_40_3.value, self.entry_dip_threshold_40_4.value) dataframe['safe_dips_50'] = self.safe_dips(dataframe, self.entry_dip_threshold_50_1.value, self.entry_dip_threshold_50_2.value, self.entry_dip_threshold_50_3.value, self.entry_dip_threshold_50_4.value) dataframe['safe_dips_60'] = self.safe_dips(dataframe, self.entry_dip_threshold_60_1.value, self.entry_dip_threshold_60_2.value, self.entry_dip_threshold_60_3.value, self.entry_dip_threshold_60_4.value) dataframe['safe_dips_70'] = self.safe_dips(dataframe, self.entry_dip_threshold_70_1.value, self.entry_dip_threshold_70_2.value, self.entry_dip_threshold_70_3.value, self.entry_dip_threshold_70_4.value) dataframe['safe_dips_80'] = self.safe_dips(dataframe, self.entry_dip_threshold_80_1.value, self.entry_dip_threshold_80_2.value, self.entry_dip_threshold_80_3.value, self.entry_dip_threshold_80_4.value) dataframe['safe_dips_90'] = self.safe_dips(dataframe, self.entry_dip_threshold_90_1.value, self.entry_dip_threshold_90_2.value, self.entry_dip_threshold_90_3.value, self.entry_dip_threshold_90_4.value) dataframe['safe_dips_100'] = self.safe_dips(dataframe, self.entry_dip_threshold_100_1.value, self.entry_dip_threshold_100_2.value, self.entry_dip_threshold_100_3.value, self.entry_dip_threshold_100_4.value) dataframe['safe_dips_110'] = self.safe_dips(dataframe, self.entry_dip_threshold_110_1.value, self.entry_dip_threshold_110_2.value, self.entry_dip_threshold_110_3.value, self.entry_dip_threshold_110_4.value) # Volume dataframe['volume_mean_4'] = dataframe['volume'].rolling(4).mean().shift(1) dataframe['volume_mean_30'] = dataframe['volume'].rolling(30).mean() # Offset for i in self.ma_types: dataframe[f'{i}_offset_entry'] = self.ma_map[f'{i}']['calculate'](dataframe, self.base_nb_candles_entry.value) * self.ma_map[f'{i}']['low_offset'] dataframe[f'{i}_offset_exit'] = self.ma_map[f'{i}']['calculate'](dataframe, self.base_nb_candles_exit.value) * self.ma_map[f'{i}']['high_offset'] return dataframe def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: # The indicators for the 1h informative timeframe informative_1h = self.informative_1h_indicators(dataframe, metadata) dataframe = merge_informative_pair(dataframe, informative_1h, self.timeframe, self.inf_1h, ffill=True) # The indicators for the normal (5m) timeframe dataframe = self.normal_tf_indicators(dataframe, metadata) return dataframe def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: conditions = [] # Protections entry_01_protections = [True] if self.entry_01_protection__ema_fast.value: entry_01_protections.append(dataframe[f'ema_{self.entry_01_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_01_protection__ema_slow.value: entry_01_protections.append(dataframe[f'ema_{self.entry_01_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_01_protection__close_above_ema_fast.value: entry_01_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_01_protection__close_above_ema_fast_len.value}']) if self.entry_01_protection__close_above_ema_slow.value: entry_01_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_01_protection__close_above_ema_slow_len.value}_1h']) if self.entry_01_protection__sma200_rising.value: entry_01_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_01_protection__sma200_rising_val.value))) if self.entry_01_protection__sma200_1h_rising.value: entry_01_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_01_protection__sma200_1h_rising_val.value))) if self.entry_01_protection__safe_dips.value: entry_01_protections.append(dataframe[f'safe_dips_{self.entry_01_protection__safe_dips_type.value}']) if self.entry_01_protection__safe_pump.value: entry_01_protections.append(dataframe[f'safe_pump_{self.entry_01_protection__safe_pump_period.value}_{self.entry_01_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_01_logic = [] entry_01_logic.append(reduce(lambda x, y: x & y, entry_01_protections)) entry_01_logic.append((dataframe['close'] - dataframe['open'].rolling(36).min()) / dataframe['open'].rolling(36).min() > self.entry_min_inc_1.value) entry_01_logic.append(dataframe['rsi_1h'] > self.entry_rsi_1h_min_1.value) entry_01_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_max_1.value) entry_01_logic.append(dataframe['rsi'] < self.entry_rsi_1.value) entry_01_logic.append(dataframe['mfi'] < self.entry_mfi_1.value) entry_01_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_01_trigger'] = reduce(lambda x, y: x & y, entry_01_logic) if self.entry_condition_1_enable.value: conditions.append(dataframe['entry_01_trigger']) # Protections entry_02_protections = [True] if self.entry_02_protection__ema_fast.value: entry_02_protections.append(dataframe[f'ema_{self.entry_02_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_02_protection__ema_slow.value: entry_02_protections.append(dataframe[f'ema_{self.entry_02_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_02_protection__close_above_ema_fast.value: entry_02_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_02_protection__close_above_ema_fast_len.value}']) if self.entry_02_protection__close_above_ema_slow.value: entry_02_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_02_protection__close_above_ema_slow_len.value}_1h']) if self.entry_02_protection__sma200_rising.value: entry_02_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_02_protection__sma200_rising_val.value))) if self.entry_02_protection__sma200_1h_rising.value: entry_02_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_02_protection__sma200_1h_rising_val.value))) if self.entry_02_protection__safe_dips.value: entry_02_protections.append(dataframe[f'safe_dips_{self.entry_02_protection__safe_dips_type.value}']) if self.entry_02_protection__safe_pump.value: entry_02_protections.append(dataframe[f'safe_pump_{self.entry_02_protection__safe_pump_period.value}_{self.entry_02_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_02_logic = [] entry_02_logic.append(reduce(lambda x, y: x & y, entry_02_protections)) #entry_02_logic.append(dataframe['volume_mean_4'] * self.entry_volume_2.value > dataframe['volume']) entry_02_logic.append(dataframe['rsi'] < dataframe['rsi_1h'] - self.entry_rsi_1h_diff_2.value) entry_02_logic.append(dataframe['mfi'] < self.entry_mfi_2.value) entry_02_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_2.value) entry_02_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_02_trigger'] = reduce(lambda x, y: x & y, entry_02_logic) if self.entry_condition_2_enable.value: conditions.append(dataframe['entry_02_trigger']) # Protections entry_03_protections = [True] if self.entry_03_protection__ema_fast.value: entry_03_protections.append(dataframe[f'ema_{self.entry_03_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_03_protection__ema_slow.value: entry_03_protections.append(dataframe[f'ema_{self.entry_03_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_03_protection__close_above_ema_fast.value: entry_03_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_03_protection__close_above_ema_fast_len.value}']) if self.entry_03_protection__close_above_ema_slow.value: entry_03_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_03_protection__close_above_ema_slow_len.value}_1h']) if self.entry_03_protection__sma200_rising.value: entry_03_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_03_protection__sma200_rising_val.value))) if self.entry_03_protection__sma200_1h_rising.value: entry_03_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_03_protection__sma200_1h_rising_val.value))) if self.entry_03_protection__safe_dips.value: entry_03_protections.append(dataframe[f'safe_dips_{self.entry_03_protection__safe_dips_type.value}']) if self.entry_03_protection__safe_pump.value: entry_03_protections.append(dataframe[f'safe_pump_{self.entry_03_protection__safe_pump_period.value}_{self.entry_03_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) entry_03_protections.append(dataframe['close'] > dataframe['ema_200_1h'] * self.entry_ema_rel_3.value) # Logic entry_03_logic = [] entry_03_logic.append(reduce(lambda x, y: x & y, entry_03_protections)) entry_03_logic.append(dataframe['bb40_2_low'].shift().gt(0)) entry_03_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * self.entry_bb40_bbdelta_close_3.value)) entry_03_logic.append(dataframe['closedelta'].gt(dataframe['close'] * self.entry_bb40_closedelta_close_3.value)) entry_03_logic.append(dataframe['tail'].lt(dataframe['bb40_2_delta'] * self.entry_bb40_tail_bbdelta_3.value)) entry_03_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift())) entry_03_logic.append(dataframe['close'].le(dataframe['close'].shift())) entry_03_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_03_trigger'] = reduce(lambda x, y: x & y, entry_03_logic) if self.entry_condition_3_enable.value: conditions.append(dataframe['entry_03_trigger']) # Protections entry_04_protections = [True] if self.entry_04_protection__ema_fast.value: entry_04_protections.append(dataframe[f'ema_{self.entry_04_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_04_protection__ema_slow.value: entry_04_protections.append(dataframe[f'ema_{self.entry_04_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_04_protection__close_above_ema_fast.value: entry_04_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_04_protection__close_above_ema_fast_len.value}']) if self.entry_04_protection__close_above_ema_slow.value: entry_04_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_04_protection__close_above_ema_slow_len.value}_1h']) if self.entry_04_protection__sma200_rising.value: entry_04_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_04_protection__sma200_rising_val.value))) if self.entry_04_protection__sma200_1h_rising.value: entry_04_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_04_protection__sma200_1h_rising_val.value))) if self.entry_04_protection__safe_dips.value: entry_04_protections.append(dataframe[f'safe_dips_{self.entry_04_protection__safe_dips_type.value}']) if self.entry_04_protection__safe_pump.value: entry_04_protections.append(dataframe[f'safe_pump_{self.entry_04_protection__safe_pump_period.value}_{self.entry_04_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_04_logic = [] entry_04_logic.append(reduce(lambda x, y: x & y, entry_04_protections)) entry_04_logic.append(dataframe['close'] < dataframe['ema_50']) entry_04_logic.append(dataframe['close'] < self.entry_bb20_close_bblowerband_4.value * dataframe['bb20_2_low']) entry_04_logic.append(dataframe['volume'] < dataframe['volume_mean_30'].shift(1) * self.entry_bb20_volume_4.value) # Populate dataframe.loc[:, 'entry_04_trigger'] = reduce(lambda x, y: x & y, entry_04_logic) if self.entry_condition_4_enable.value: conditions.append(dataframe['entry_04_trigger']) # Protections entry_05_protections = [True] if self.entry_05_protection__ema_fast.value: entry_05_protections.append(dataframe[f'ema_{self.entry_05_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_05_protection__ema_slow.value: entry_05_protections.append(dataframe[f'ema_{self.entry_05_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_05_protection__close_above_ema_fast.value: entry_05_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_05_protection__close_above_ema_fast_len.value}']) if self.entry_05_protection__close_above_ema_slow.value: entry_05_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_05_protection__close_above_ema_slow_len.value}_1h']) if self.entry_05_protection__sma200_rising.value: entry_05_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_05_protection__sma200_rising_val.value))) if self.entry_05_protection__sma200_1h_rising.value: entry_05_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_05_protection__sma200_1h_rising_val.value))) if self.entry_05_protection__safe_dips.value: entry_05_protections.append(dataframe[f'safe_dips_{self.entry_05_protection__safe_dips_type.value}']) if self.entry_05_protection__safe_pump.value: entry_05_protections.append(dataframe[f'safe_pump_{self.entry_05_protection__safe_pump_period.value}_{self.entry_05_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) entry_05_protections.append(dataframe['close'] > dataframe['ema_200_1h'] * self.entry_ema_rel_5.value) # Logic entry_05_logic = [] entry_05_logic.append(reduce(lambda x, y: x & y, entry_05_protections)) entry_05_logic.append(dataframe['ema_26'] > dataframe['ema_12']) entry_05_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * self.entry_ema_open_mult_5.value) entry_05_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100) entry_05_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_5.value) entry_05_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_05_trigger'] = reduce(lambda x, y: x & y, entry_05_logic) if self.entry_condition_5_enable.value: conditions.append(dataframe['entry_05_trigger']) # Protections entry_06_protections = [True] if self.entry_06_protection__ema_fast.value: entry_06_protections.append(dataframe[f'ema_{self.entry_06_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_06_protection__ema_slow.value: entry_06_protections.append(dataframe[f'ema_{self.entry_06_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_06_protection__close_above_ema_fast.value: entry_06_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_06_protection__close_above_ema_fast_len.value}']) if self.entry_06_protection__close_above_ema_slow.value: entry_06_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_06_protection__close_above_ema_slow_len.value}_1h']) if self.entry_06_protection__sma200_rising.value: entry_06_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_06_protection__sma200_rising_val.value))) if self.entry_06_protection__sma200_1h_rising.value: entry_06_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_06_protection__sma200_1h_rising_val.value))) if self.entry_06_protection__safe_dips.value: entry_06_protections.append(dataframe[f'safe_dips_{self.entry_06_protection__safe_dips_type.value}']) if self.entry_06_protection__safe_pump.value: entry_06_protections.append(dataframe[f'safe_pump_{self.entry_06_protection__safe_pump_period.value}_{self.entry_06_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_06_logic = [] entry_06_logic.append(reduce(lambda x, y: x & y, entry_06_protections)) entry_06_logic.append(dataframe['ema_26'] > dataframe['ema_12']) entry_06_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * self.entry_ema_open_mult_6.value) entry_06_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100) entry_06_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_6.value) entry_06_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_06_trigger'] = reduce(lambda x, y: x & y, entry_06_logic) if self.entry_condition_6_enable.value: conditions.append(dataframe['entry_06_trigger']) # Protections entry_07_protections = [True] if self.entry_07_protection__ema_fast.value: entry_07_protections.append(dataframe[f'ema_{self.entry_07_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_07_protection__ema_slow.value: entry_07_protections.append(dataframe[f'ema_{self.entry_07_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_07_protection__close_above_ema_fast.value: entry_07_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_07_protection__close_above_ema_fast_len.value}']) if self.entry_07_protection__close_above_ema_slow.value: entry_07_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_07_protection__close_above_ema_slow_len.value}_1h']) if self.entry_07_protection__sma200_rising.value: entry_07_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_07_protection__sma200_rising_val.value))) if self.entry_07_protection__sma200_1h_rising.value: entry_07_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_07_protection__sma200_1h_rising_val.value))) if self.entry_07_protection__safe_dips.value: entry_07_protections.append(dataframe[f'safe_dips_{self.entry_07_protection__safe_dips_type.value}']) if self.entry_07_protection__safe_pump.value: entry_07_protections.append(dataframe[f'safe_pump_{self.entry_07_protection__safe_pump_period.value}_{self.entry_07_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_07_logic = [] entry_07_logic.append(reduce(lambda x, y: x & y, entry_07_protections)) #entry_07_logic.append(dataframe['volume'].rolling(4).mean() * self.entry_volume_7.value > dataframe['volume']) entry_07_logic.append(dataframe['ema_26'] > dataframe['ema_12']) entry_07_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * self.entry_ema_open_mult_7.value) entry_07_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100) entry_07_logic.append(dataframe['rsi'] < self.entry_rsi_7.value) entry_07_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_07_trigger'] = reduce(lambda x, y: x & y, entry_07_logic) if self.entry_condition_7_enable.value: conditions.append(dataframe['entry_07_trigger']) # Protections entry_08_protections = [True] if self.entry_08_protection__ema_fast.value: entry_08_protections.append(dataframe[f'ema_{self.entry_08_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_08_protection__ema_slow.value: entry_08_protections.append(dataframe[f'ema_{self.entry_08_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_08_protection__close_above_ema_fast.value: entry_08_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_08_protection__close_above_ema_fast_len.value}']) if self.entry_08_protection__close_above_ema_slow.value: entry_08_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_08_protection__close_above_ema_slow_len.value}_1h']) if self.entry_08_protection__sma200_rising.value: entry_08_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_08_protection__sma200_rising_val.value))) if self.entry_08_protection__sma200_1h_rising.value: entry_08_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_08_protection__sma200_1h_rising_val.value))) if self.entry_08_protection__safe_dips.value: entry_08_protections.append(dataframe[f'safe_dips_{self.entry_08_protection__safe_dips_type.value}']) if self.entry_08_protection__safe_pump.value: entry_08_protections.append(dataframe[f'safe_pump_{self.entry_08_protection__safe_pump_period.value}_{self.entry_08_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_08_logic = [] entry_08_logic.append(reduce(lambda x, y: x & y, entry_08_protections)) entry_08_logic.append(dataframe['rsi'] < self.entry_rsi_8.value) entry_08_logic.append(dataframe['volume'] > dataframe['volume'].shift(1) * self.entry_volume_8.value) entry_08_logic.append(dataframe['close'] > dataframe['open']) entry_08_logic.append(dataframe['close'] - dataframe['low'] > (dataframe['close'] - dataframe['open']) * self.entry_tail_diff_8.value) entry_08_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_08_trigger'] = reduce(lambda x, y: x & y, entry_08_logic) if self.entry_condition_8_enable.value: conditions.append(dataframe['entry_08_trigger']) # Protections entry_09_protections = [True] if self.entry_09_protection__ema_fast.value: entry_09_protections.append(dataframe[f'ema_{self.entry_09_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_09_protection__ema_slow.value: entry_09_protections.append(dataframe[f'ema_{self.entry_09_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_09_protection__close_above_ema_fast.value: entry_09_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_09_protection__close_above_ema_fast_len.value}']) if self.entry_09_protection__close_above_ema_slow.value: entry_09_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_09_protection__close_above_ema_slow_len.value}_1h']) if self.entry_09_protection__sma200_rising.value: entry_09_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_09_protection__sma200_rising_val.value))) if self.entry_09_protection__sma200_1h_rising.value: entry_09_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_09_protection__sma200_1h_rising_val.value))) if self.entry_09_protection__safe_dips.value: entry_09_protections.append(dataframe[f'safe_dips_{self.entry_09_protection__safe_dips_type.value}']) if self.entry_09_protection__safe_pump.value: entry_09_protections.append(dataframe[f'safe_pump_{self.entry_09_protection__safe_pump_period.value}_{self.entry_09_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) entry_09_protections.append(dataframe['ema_50'] > dataframe['ema_200']) # Logic entry_09_logic = [] entry_09_logic.append(reduce(lambda x, y: x & y, entry_09_protections)) #entry_09_logic.append(dataframe['volume_mean_4'] * self.entry_volume_9.value > dataframe['volume']) entry_09_logic.append(dataframe['close'] < dataframe['ema_20'] * self.entry_ma_offset_9.value) entry_09_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_9.value) entry_09_logic.append(dataframe['rsi_1h'] > self.entry_rsi_1h_min_9.value) entry_09_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_max_9.value) entry_09_logic.append(dataframe['mfi'] < self.entry_mfi_9.value) entry_09_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_09_trigger'] = reduce(lambda x, y: x & y, entry_09_logic) if self.entry_condition_9_enable.value: conditions.append(dataframe['entry_09_trigger']) # Protections entry_10_protections = [True] if self.entry_10_protection__ema_fast.value: entry_10_protections.append(dataframe[f'ema_{self.entry_10_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_10_protection__ema_slow.value: entry_10_protections.append(dataframe[f'ema_{self.entry_10_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_10_protection__close_above_ema_fast.value: entry_10_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_10_protection__close_above_ema_fast_len.value}']) if self.entry_10_protection__close_above_ema_slow.value: entry_10_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_10_protection__close_above_ema_slow_len.value}_1h']) if self.entry_10_protection__sma200_rising.value: entry_10_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_10_protection__sma200_rising_val.value))) if self.entry_10_protection__sma200_1h_rising.value: entry_10_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_10_protection__sma200_1h_rising_val.value))) if self.entry_10_protection__safe_dips.value: entry_10_protections.append(dataframe[f'safe_dips_{self.entry_10_protection__safe_dips_type.value}']) if self.entry_10_protection__safe_pump.value: entry_10_protections.append(dataframe[f'safe_pump_{self.entry_10_protection__safe_pump_period.value}_{self.entry_10_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) entry_10_protections.append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) # Logic entry_10_logic = [] entry_10_logic.append(reduce(lambda x, y: x & y, entry_10_protections)) entry_10_logic.append(dataframe['close'] < dataframe['sma_30'] * self.entry_ma_offset_10.value) entry_10_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_10.value) entry_10_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_10.value) entry_10_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_10_trigger'] = reduce(lambda x, y: x & y, entry_10_logic) if self.entry_condition_10_enable.value: conditions.append(dataframe['entry_10_trigger']) # Protections entry_11_protections = [True] if self.entry_11_protection__ema_fast.value: entry_11_protections.append(dataframe[f'ema_{self.entry_11_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_11_protection__ema_slow.value: entry_11_protections.append(dataframe[f'ema_{self.entry_11_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_11_protection__close_above_ema_fast.value: entry_11_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_11_protection__close_above_ema_fast_len.value}']) if self.entry_11_protection__close_above_ema_slow.value: entry_11_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_11_protection__close_above_ema_slow_len.value}_1h']) if self.entry_11_protection__sma200_rising.value: entry_11_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_11_protection__sma200_rising_val.value))) if self.entry_11_protection__sma200_1h_rising.value: entry_11_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_11_protection__sma200_1h_rising_val.value))) if self.entry_11_protection__safe_dips.value: entry_11_protections.append(dataframe[f'safe_dips_{self.entry_11_protection__safe_dips_type.value}']) if self.entry_11_protection__safe_pump.value: entry_11_protections.append(dataframe[f'safe_pump_{self.entry_11_protection__safe_pump_period.value}_{self.entry_11_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) entry_11_protections.append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) entry_11_protections.append(dataframe['safe_pump_36_50_1h']) entry_11_protections.append(dataframe['safe_pump_48_100_1h']) # Logic entry_11_logic = [] entry_11_logic.append(reduce(lambda x, y: x & y, entry_11_protections)) entry_11_logic.append((dataframe['close'] - dataframe['open'].rolling(36).min()) / dataframe['open'].rolling(36).min() > self.entry_min_inc_11.value) entry_11_logic.append(dataframe['close'] < dataframe['sma_30'] * self.entry_ma_offset_11.value) entry_11_logic.append(dataframe['rsi_1h'] > self.entry_rsi_1h_min_11.value) entry_11_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_max_11.value) entry_11_logic.append(dataframe['rsi'] < self.entry_rsi_11.value) entry_11_logic.append(dataframe['mfi'] < self.entry_mfi_11.value) entry_11_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_11_trigger'] = reduce(lambda x, y: x & y, entry_11_logic) if self.entry_condition_11_enable.value: conditions.append(dataframe['entry_11_trigger']) # Protections entry_12_protections = [True] if self.entry_12_protection__ema_fast.value: entry_12_protections.append(dataframe[f'ema_{self.entry_12_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_12_protection__ema_slow.value: entry_12_protections.append(dataframe[f'ema_{self.entry_12_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_12_protection__close_above_ema_fast.value: entry_12_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_12_protection__close_above_ema_fast_len.value}']) if self.entry_12_protection__close_above_ema_slow.value: entry_12_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_12_protection__close_above_ema_slow_len.value}_1h']) if self.entry_12_protection__sma200_rising.value: entry_12_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_12_protection__sma200_rising_val.value))) if self.entry_12_protection__sma200_1h_rising.value: entry_12_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_12_protection__sma200_1h_rising_val.value))) if self.entry_12_protection__safe_dips.value: entry_12_protections.append(dataframe[f'safe_dips_{self.entry_12_protection__safe_dips_type.value}']) if self.entry_12_protection__safe_pump.value: entry_12_protections.append(dataframe[f'safe_pump_{self.entry_12_protection__safe_pump_period.value}_{self.entry_12_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_12_logic = [] entry_12_logic.append(reduce(lambda x, y: x & y, entry_12_protections)) #entry_12_logic.append((dataframe['volume_mean_4'] * self.entry_volume_12.value) > dataframe['volume']) entry_12_logic.append(dataframe['close'] < dataframe['sma_30'] * self.entry_ma_offset_12.value) entry_12_logic.append(dataframe['ewo'] > self.entry_ewo_12.value) entry_12_logic.append(dataframe['rsi'] < self.entry_rsi_12.value) entry_12_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_12_trigger'] = reduce(lambda x, y: x & y, entry_12_logic) if self.entry_condition_12_enable.value: conditions.append(dataframe['entry_12_trigger']) # Protections entry_13_protections = [True] if self.entry_13_protection__ema_fast.value: entry_13_protections.append(dataframe[f'ema_{self.entry_13_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_13_protection__ema_slow.value: entry_13_protections.append(dataframe[f'ema_{self.entry_13_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_13_protection__close_above_ema_fast.value: entry_13_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_13_protection__close_above_ema_fast_len.value}']) if self.entry_13_protection__close_above_ema_slow.value: entry_13_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_13_protection__close_above_ema_slow_len.value}_1h']) if self.entry_13_protection__sma200_rising.value: entry_13_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_13_protection__sma200_rising_val.value))) if self.entry_13_protection__sma200_1h_rising.value: entry_13_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_13_protection__sma200_1h_rising_val.value))) if self.entry_13_protection__safe_dips.value: entry_13_protections.append(dataframe[f'safe_dips_{self.entry_13_protection__safe_dips_type.value}']) if self.entry_13_protection__safe_pump.value: entry_13_protections.append(dataframe[f'safe_pump_{self.entry_13_protection__safe_pump_period.value}_{self.entry_13_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) entry_13_protections.append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) #entry_13_protections.append(dataframe['safe_pump_36_loose_1h']) # Logic entry_13_logic = [] entry_13_logic.append(reduce(lambda x, y: x & y, entry_13_protections)) #entry_13_logic.append((dataframe['volume_mean_4'] * self.entry_volume_13.value) > dataframe['volume']) entry_13_logic.append(dataframe['close'] < dataframe['sma_30'] * self.entry_ma_offset_13.value) entry_13_logic.append(dataframe['ewo'] < self.entry_ewo_13.value) entry_13_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_13_trigger'] = reduce(lambda x, y: x & y, entry_13_logic) if self.entry_condition_13_enable.value: conditions.append(dataframe['entry_13_trigger']) # Protections entry_14_protections = [True] if self.entry_14_protection__ema_fast.value: entry_14_protections.append(dataframe[f'ema_{self.entry_14_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_14_protection__ema_slow.value: entry_14_protections.append(dataframe[f'ema_{self.entry_14_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_14_protection__close_above_ema_fast.value: entry_14_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_14_protection__close_above_ema_fast_len.value}']) if self.entry_14_protection__close_above_ema_slow.value: entry_14_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_14_protection__close_above_ema_slow_len.value}_1h']) if self.entry_14_protection__sma200_rising.value: entry_14_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_14_protection__sma200_rising_val.value))) if self.entry_14_protection__sma200_1h_rising.value: entry_14_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_14_protection__sma200_1h_rising_val.value))) if self.entry_14_protection__safe_dips.value: entry_14_protections.append(dataframe[f'safe_dips_{self.entry_14_protection__safe_dips_type.value}']) if self.entry_14_protection__safe_pump.value: entry_14_protections.append(dataframe[f'safe_pump_{self.entry_14_protection__safe_pump_period.value}_{self.entry_14_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_14_logic = [] entry_14_logic.append(reduce(lambda x, y: x & y, entry_14_protections)) #entry_14_logic.append(dataframe['volume_mean_4'] * self.entry_volume_14.value > dataframe['volume']) entry_14_logic.append(dataframe['ema_26'] > dataframe['ema_12']) entry_14_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * self.entry_ema_open_mult_14.value) entry_14_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100) entry_14_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_14.value) entry_14_logic.append(dataframe['close'] < dataframe['ema_20'] * self.entry_ma_offset_14.value) entry_14_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_14_trigger'] = reduce(lambda x, y: x & y, entry_14_logic) if self.entry_condition_14_enable.value: conditions.append(dataframe['entry_14_trigger']) # Protections entry_15_protections = [True] if self.entry_15_protection__ema_fast.value: entry_15_protections.append(dataframe[f'ema_{self.entry_15_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_15_protection__ema_slow.value: entry_15_protections.append(dataframe[f'ema_{self.entry_15_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_15_protection__close_above_ema_fast.value: entry_15_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_15_protection__close_above_ema_fast_len.value}']) if self.entry_15_protection__close_above_ema_slow.value: entry_15_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_15_protection__close_above_ema_slow_len.value}_1h']) if self.entry_15_protection__sma200_rising.value: entry_15_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_15_protection__sma200_rising_val.value))) if self.entry_15_protection__sma200_1h_rising.value: entry_15_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_15_protection__sma200_1h_rising_val.value))) if self.entry_15_protection__safe_dips.value: entry_15_protections.append(dataframe[f'safe_dips_{self.entry_15_protection__safe_dips_type.value}']) if self.entry_15_protection__safe_pump.value: entry_15_protections.append(dataframe[f'safe_pump_{self.entry_15_protection__safe_pump_period.value}_{self.entry_15_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) entry_15_protections.append(dataframe['close'] > dataframe['ema_200_1h'] * self.entry_ema_rel_15.value) # Logic entry_15_logic = [] entry_15_logic.append(reduce(lambda x, y: x & y, entry_15_protections)) entry_15_logic.append(dataframe['ema_26'] > dataframe['ema_12']) entry_15_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * self.entry_ema_open_mult_15.value) entry_15_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100) entry_15_logic.append(dataframe['rsi'] < self.entry_rsi_15.value) entry_15_logic.append(dataframe['close'] < dataframe['ema_20'] * self.entry_ma_offset_15.value) entry_15_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_15_trigger'] = reduce(lambda x, y: x & y, entry_15_logic) if self.entry_condition_15_enable.value: conditions.append(dataframe['entry_15_trigger']) # Protections entry_16_protections = [True] if self.entry_16_protection__ema_fast.value: entry_16_protections.append(dataframe[f'ema_{self.entry_16_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_16_protection__ema_slow.value: entry_16_protections.append(dataframe[f'ema_{self.entry_16_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_16_protection__close_above_ema_fast.value: entry_16_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_16_protection__close_above_ema_fast_len.value}']) if self.entry_16_protection__close_above_ema_slow.value: entry_16_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_16_protection__close_above_ema_slow_len.value}_1h']) if self.entry_16_protection__sma200_rising.value: entry_16_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_16_protection__sma200_rising_val.value))) if self.entry_16_protection__sma200_1h_rising.value: entry_16_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_16_protection__sma200_1h_rising_val.value))) if self.entry_16_protection__safe_dips.value: entry_16_protections.append(dataframe[f'safe_dips_{self.entry_16_protection__safe_dips_type.value}']) if self.entry_16_protection__safe_pump.value: entry_16_protections.append(dataframe[f'safe_pump_{self.entry_16_protection__safe_pump_period.value}_{self.entry_16_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_16_logic = [] entry_16_logic.append(reduce(lambda x, y: x & y, entry_16_protections)) #entry_16_logic.append((dataframe['volume_mean_4'] * self.entry_volume_16.value) > dataframe['volume']) entry_16_logic.append(dataframe['close'] < dataframe['ema_20'] * self.entry_ma_offset_16.value) entry_16_logic.append(dataframe['ewo'] > self.entry_ewo_16.value) entry_16_logic.append(dataframe['rsi'] < self.entry_rsi_16.value) entry_16_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_16_trigger'] = reduce(lambda x, y: x & y, entry_16_logic) if self.entry_condition_16_enable.value: conditions.append(dataframe['entry_16_trigger']) # Protections entry_17_protections = [True] if self.entry_17_protection__ema_fast.value: entry_17_protections.append(dataframe[f'ema_{self.entry_17_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_17_protection__ema_slow.value: entry_17_protections.append(dataframe[f'ema_{self.entry_17_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_17_protection__close_above_ema_fast.value: entry_17_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_17_protection__close_above_ema_fast_len.value}']) if self.entry_17_protection__close_above_ema_slow.value: entry_17_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_17_protection__close_above_ema_slow_len.value}_1h']) if self.entry_17_protection__sma200_rising.value: entry_17_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_17_protection__sma200_rising_val.value))) if self.entry_17_protection__sma200_1h_rising.value: entry_17_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_17_protection__sma200_1h_rising_val.value))) if self.entry_17_protection__safe_dips.value: entry_17_protections.append(dataframe[f'safe_dips_{self.entry_17_protection__safe_dips_type.value}']) if self.entry_17_protection__safe_pump.value: entry_17_protections.append(dataframe[f'safe_pump_{self.entry_17_protection__safe_pump_period.value}_{self.entry_17_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_17_logic = [] entry_17_logic.append(reduce(lambda x, y: x & y, entry_17_protections)) entry_17_logic.append(dataframe['close'] < dataframe['ema_20'] * self.entry_ma_offset_17.value) entry_17_logic.append(dataframe['ewo'] < self.entry_ewo_17.value) entry_17_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_17_trigger'] = reduce(lambda x, y: x & y, entry_17_logic) if self.entry_condition_17_enable.value: conditions.append(dataframe['entry_17_trigger']) # Protections entry_18_protections = [True] if self.entry_18_protection__ema_fast.value: entry_18_protections.append(dataframe[f'ema_{self.entry_18_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_18_protection__ema_slow.value: entry_18_protections.append(dataframe[f'ema_{self.entry_18_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_18_protection__close_above_ema_fast.value: entry_18_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_18_protection__close_above_ema_fast_len.value}']) if self.entry_18_protection__close_above_ema_slow.value: entry_18_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_18_protection__close_above_ema_slow_len.value}_1h']) if self.entry_18_protection__sma200_rising.value: entry_18_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_18_protection__sma200_rising_val.value))) if self.entry_18_protection__sma200_1h_rising.value: entry_18_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_18_protection__sma200_1h_rising_val.value))) if self.entry_18_protection__safe_dips.value: entry_18_protections.append(dataframe[f'safe_dips_{self.entry_18_protection__safe_dips_type.value}']) if self.entry_18_protection__safe_pump.value: entry_18_protections.append(dataframe[f'safe_pump_{self.entry_18_protection__safe_pump_period.value}_{self.entry_18_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) #entry_18_protections.append(dataframe['ema_100'] > dataframe['ema_200']) entry_18_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(20)) entry_18_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(36)) # Logic entry_18_logic = [] entry_18_logic.append(reduce(lambda x, y: x & y, entry_18_protections)) #entry_18_logic.append((dataframe['volume_mean_4'] * self.entry_volume_18.value) > dataframe['volume']) entry_18_logic.append(dataframe['rsi'] < self.entry_rsi_18.value) entry_18_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_18.value) entry_18_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_18_trigger'] = reduce(lambda x, y: x & y, entry_18_logic) if self.entry_condition_18_enable.value: conditions.append(dataframe['entry_18_trigger']) # Protections entry_19_protections = [True] if self.entry_19_protection__ema_fast.value: entry_19_protections.append(dataframe[f'ema_{self.entry_19_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_19_protection__ema_slow.value: entry_19_protections.append(dataframe[f'ema_{self.entry_19_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_19_protection__close_above_ema_fast.value: entry_19_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_19_protection__close_above_ema_fast_len.value}']) if self.entry_19_protection__close_above_ema_slow.value: entry_19_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_19_protection__close_above_ema_slow_len.value}_1h']) if self.entry_19_protection__sma200_rising.value: entry_19_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_19_protection__sma200_rising_val.value))) if self.entry_19_protection__sma200_1h_rising.value: entry_19_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_19_protection__sma200_1h_rising_val.value))) if self.entry_19_protection__safe_dips.value: entry_19_protections.append(dataframe[f'safe_dips_{self.entry_19_protection__safe_dips_type.value}']) if self.entry_19_protection__safe_pump.value: entry_19_protections.append(dataframe[f'safe_pump_{self.entry_19_protection__safe_pump_period.value}_{self.entry_19_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) entry_19_protections.append(dataframe['ema_50_1h'] > dataframe['ema_200_1h']) # Logic entry_19_logic = [] entry_19_logic.append(reduce(lambda x, y: x & y, entry_19_protections)) entry_19_logic.append(dataframe['close'].shift(1) > dataframe['ema_100_1h']) entry_19_logic.append(dataframe['low'] < dataframe['ema_100_1h']) entry_19_logic.append(dataframe['close'] > dataframe['ema_100_1h']) entry_19_logic.append(dataframe['rsi_1h'] > self.entry_rsi_1h_min_19.value) entry_19_logic.append(dataframe['chop'] < self.entry_chop_min_19.value) entry_19_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_19_trigger'] = reduce(lambda x, y: x & y, entry_19_logic) if self.entry_condition_19_enable.value: conditions.append(dataframe['entry_19_trigger']) # Protections entry_20_protections = [True] if self.entry_20_protection__ema_fast.value: entry_20_protections.append(dataframe[f'ema_{self.entry_20_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_20_protection__ema_slow.value: entry_20_protections.append(dataframe[f'ema_{self.entry_20_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_20_protection__close_above_ema_fast.value: entry_20_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_20_protection__close_above_ema_fast_len.value}']) if self.entry_20_protection__close_above_ema_slow.value: entry_20_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_20_protection__close_above_ema_slow_len.value}_1h']) if self.entry_20_protection__sma200_rising.value: entry_20_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_20_protection__sma200_rising_val.value))) if self.entry_20_protection__sma200_1h_rising.value: entry_20_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_20_protection__sma200_1h_rising_val.value))) if self.entry_20_protection__safe_dips.value: entry_20_protections.append(dataframe[f'safe_dips_{self.entry_20_protection__safe_dips_type.value}']) if self.entry_20_protection__safe_pump.value: entry_20_protections.append(dataframe[f'safe_pump_{self.entry_20_protection__safe_pump_period.value}_{self.entry_20_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_20_logic = [] entry_20_logic.append(reduce(lambda x, y: x & y, entry_20_protections)) #entry_20_logic.append((dataframe['volume_mean_4'] * self.entry_volume_20.value) > dataframe['volume']) entry_20_logic.append(dataframe['rsi'] < self.entry_rsi_20.value) entry_20_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_20.value) entry_20_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_20_trigger'] = reduce(lambda x, y: x & y, entry_20_logic) if self.entry_condition_20_enable.value: conditions.append(dataframe['entry_20_trigger']) # Protections entry_21_protections = [True] if self.entry_21_protection__ema_fast.value: entry_21_protections.append(dataframe[f'ema_{self.entry_21_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_21_protection__ema_slow.value: entry_21_protections.append(dataframe[f'ema_{self.entry_21_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_21_protection__close_above_ema_fast.value: entry_21_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_21_protection__close_above_ema_fast_len.value}']) if self.entry_21_protection__close_above_ema_slow.value: entry_21_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_21_protection__close_above_ema_slow_len.value}_1h']) if self.entry_21_protection__sma200_rising.value: entry_21_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_21_protection__sma200_rising_val.value))) if self.entry_21_protection__sma200_1h_rising.value: entry_21_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_21_protection__sma200_1h_rising_val.value))) if self.entry_21_protection__safe_dips.value: entry_21_protections.append(dataframe[f'safe_dips_{self.entry_21_protection__safe_dips_type.value}']) if self.entry_21_protection__safe_pump.value: entry_21_protections.append(dataframe[f'safe_pump_{self.entry_21_protection__safe_pump_period.value}_{self.entry_21_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_21_logic = [] entry_21_logic.append(reduce(lambda x, y: x & y, entry_21_protections)) #entry_21_logic.append((dataframe['volume_mean_4'] * self.entry_volume_21.value) > dataframe['volume']) entry_21_logic.append(dataframe['rsi'] < self.entry_rsi_21.value) entry_21_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_21.value) entry_21_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_21_trigger'] = reduce(lambda x, y: x & y, entry_21_logic) if self.entry_condition_21_enable.value: conditions.append(dataframe['entry_21_trigger']) # Protections entry_22_protections = [True] if self.entry_22_protection__ema_fast.value: entry_22_protections.append(dataframe[f'ema_{self.entry_22_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_22_protection__ema_slow.value: entry_22_protections.append(dataframe[f'ema_{self.entry_22_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_22_protection__close_above_ema_fast.value: entry_22_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_22_protection__close_above_ema_fast_len.value}']) if self.entry_22_protection__close_above_ema_slow.value: entry_22_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_22_protection__close_above_ema_slow_len.value}_1h']) if self.entry_22_protection__sma200_rising.value: entry_22_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_22_protection__sma200_rising_val.value))) if self.entry_22_protection__sma200_1h_rising.value: entry_22_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_22_protection__sma200_1h_rising_val.value))) if self.entry_22_protection__safe_dips.value: entry_22_protections.append(dataframe[f'safe_dips_{self.entry_22_protection__safe_dips_type.value}']) if self.entry_22_protection__safe_pump.value: entry_22_protections.append(dataframe[f'safe_pump_{self.entry_22_protection__safe_pump_period.value}_{self.entry_22_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) entry_22_protections.append(dataframe['ema_100_1h'] > dataframe['ema_100_1h'].shift(12)) entry_22_protections.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(36)) # Logic entry_22_logic = [] entry_22_logic.append(reduce(lambda x, y: x & y, entry_22_protections)) entry_22_logic.append(dataframe['volume_mean_4'] * self.entry_volume_22.value > dataframe['volume']) entry_22_logic.append(dataframe['close'] < dataframe['sma_30'] * self.entry_ma_offset_22.value) entry_22_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_22.value) entry_22_logic.append(dataframe['ewo'] > self.entry_ewo_22.value) entry_22_logic.append(dataframe['rsi'] < self.entry_rsi_22.value) entry_22_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_22_trigger'] = reduce(lambda x, y: x & y, entry_22_logic) if self.entry_condition_22_enable.value: conditions.append(dataframe['entry_22_trigger']) # Protections entry_23_protections = [True] if self.entry_23_protection__ema_fast.value: entry_23_protections.append(dataframe[f'ema_{self.entry_23_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_23_protection__ema_slow.value: entry_23_protections.append(dataframe[f'ema_{self.entry_23_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_23_protection__close_above_ema_fast.value: entry_23_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_23_protection__close_above_ema_fast_len.value}']) if self.entry_23_protection__close_above_ema_slow.value: entry_23_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_23_protection__close_above_ema_slow_len.value}_1h']) if self.entry_23_protection__sma200_rising.value: entry_23_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_23_protection__sma200_rising_val.value))) if self.entry_23_protection__sma200_1h_rising.value: entry_23_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_23_protection__sma200_1h_rising_val.value))) if self.entry_23_protection__safe_dips.value: entry_23_protections.append(dataframe[f'safe_dips_{self.entry_23_protection__safe_dips_type.value}']) if self.entry_23_protection__safe_pump.value: entry_23_protections.append(dataframe[f'safe_pump_{self.entry_23_protection__safe_pump_period.value}_{self.entry_23_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_23_logic = [] entry_23_logic.append(reduce(lambda x, y: x & y, entry_23_protections)) entry_23_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * self.entry_bb_offset_23.value) entry_23_logic.append(dataframe['ewo'] > self.entry_ewo_23.value) entry_23_logic.append(dataframe['rsi'] < self.entry_rsi_23.value) entry_23_logic.append(dataframe['rsi_1h'] < self.entry_rsi_1h_23.value) entry_23_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_23_trigger'] = reduce(lambda x, y: x & y, entry_23_logic) if self.entry_condition_23_enable.value: conditions.append(dataframe['entry_23_trigger']) # Protections entry_24_protections = [True] if self.entry_24_protection__ema_fast.value: entry_24_protections.append(dataframe[f'ema_{self.entry_24_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_24_protection__ema_slow.value: entry_24_protections.append(dataframe[f'ema_{self.entry_24_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_24_protection__close_above_ema_fast.value: entry_24_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_24_protection__close_above_ema_fast_len.value}']) if self.entry_24_protection__close_above_ema_slow.value: entry_24_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_24_protection__close_above_ema_slow_len.value}_1h']) if self.entry_24_protection__sma200_rising.value: entry_24_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_24_protection__sma200_rising_val.value))) if self.entry_24_protection__sma200_1h_rising.value: entry_24_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_24_protection__sma200_1h_rising_val.value))) if self.entry_24_protection__safe_dips.value: entry_24_protections.append(dataframe[f'safe_dips_{self.entry_24_protection__safe_dips_type.value}']) if self.entry_24_protection__safe_pump.value: entry_24_protections.append(dataframe[f'safe_pump_{self.entry_24_protection__safe_pump_period.value}_{self.entry_24_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_24_logic = [] entry_24_logic.append(reduce(lambda x, y: x & y, entry_24_protections)) entry_24_logic.append(dataframe['ema_12_1h'].shift(12) < dataframe['ema_35_1h'].shift(12)) entry_24_logic.append(dataframe['ema_12_1h'].shift(12) < dataframe['ema_35_1h'].shift(12)) entry_24_logic.append(dataframe['ema_12_1h'] > dataframe['ema_35_1h']) entry_24_logic.append(dataframe['cmf_1h'].shift(12) < 0) entry_24_logic.append(dataframe['cmf_1h'] > 0) entry_24_logic.append(dataframe['rsi'] < self.entry_24_rsi_max.value) entry_24_logic.append(dataframe['rsi_1h'] > self.entry_24_rsi_1h_min.value) entry_24_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_24_trigger'] = reduce(lambda x, y: x & y, entry_24_logic) if self.entry_condition_24_enable.value: conditions.append(dataframe['entry_24_trigger']) # Protections entry_26_protections = [True] if self.entry_26_protection__ema_fast.value: entry_26_protections.append(dataframe[f'ema_{self.entry_26_protection__ema_fast_len.value}'] > dataframe['ema_200']) if self.entry_26_protection__ema_slow.value: entry_26_protections.append(dataframe[f'ema_{self.entry_26_protection__ema_slow_len.value}_1h'] > dataframe['ema_200_1h']) if self.entry_26_protection__close_above_ema_fast.value: entry_26_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_26_protection__close_above_ema_fast_len.value}']) if self.entry_26_protection__close_above_ema_slow.value: entry_26_protections.append(dataframe['close'] > dataframe[f'ema_{self.entry_26_protection__close_above_ema_slow_len.value}_1h']) if self.entry_26_protection__sma200_rising.value: entry_26_protections.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(self.entry_26_protection__sma200_rising_val.value))) if self.entry_26_protection__sma200_1h_rising.value: entry_26_protections.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(self.entry_26_protection__sma200_1h_rising_val.value))) if self.entry_26_protection__safe_dips.value: entry_26_protections.append(dataframe[f'safe_dips_{self.entry_26_protection__safe_dips_type.value}']) if self.entry_26_protection__safe_pump.value: entry_26_protections.append(dataframe[f'safe_pump_{self.entry_26_protection__safe_pump_period.value}_{self.entry_26_protection__safe_pump_type.value}_1h']) # Non-Standard protections (add below) # Logic entry_26_logic = [] entry_26_logic.append(reduce(lambda x, y: x & y, entry_26_protections)) entry_26_logic.append(dataframe['close'] < dataframe['zema'] * self.entry_26_zema_low_offset.value) entry_26_logic.append(dataframe['volume'] > 0) # Populate dataframe.loc[:, 'entry_26_trigger'] = reduce(lambda x, y: x & y, entry_26_logic) if self.entry_condition_26_enable.value: conditions.append(dataframe['entry_26_trigger']) for i in self.ma_types: conditions.append((dataframe['close'] < dataframe[f'{i}_offset_entry']) & ((dataframe['ewo'] < self.ewo_low.value) | (dataframe['ewo'] > self.ewo_high.value)) & (dataframe['volume'] > 0)) if conditions: dataframe.loc[reduce(lambda x, y: x | y, conditions), 'entry'] = 1 return dataframe def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: conditions = [] conditions.append(self.exit_condition_1_enable.value & (dataframe['rsi'] > self.exit_rsi_bb_1.value) & (dataframe['close'] > dataframe['bb20_2_upp']) & (dataframe['close'].shift(1) > dataframe['bb20_2_upp'].shift(1)) & (dataframe['close'].shift(2) > dataframe['bb20_2_upp'].shift(2)) & (dataframe['close'].shift(3) > dataframe['bb20_2_upp'].shift(3)) & (dataframe['close'].shift(4) > dataframe['bb20_2_upp'].shift(4)) & (dataframe['close'].shift(5) > dataframe['bb20_2_upp'].shift(5)) & (dataframe['volume'] > 0)) conditions.append(self.exit_condition_2_enable.value & (dataframe['rsi'] > self.exit_rsi_bb_2.value) & (dataframe['close'] > dataframe['bb20_2_upp']) & (dataframe['close'].shift(1) > dataframe['bb20_2_upp'].shift(1)) & (dataframe['close'].shift(2) > dataframe['bb20_2_upp'].shift(2)) & (dataframe['volume'] > 0)) conditions.append(self.exit_condition_3_enable.value & (dataframe['rsi'] > self.exit_rsi_main_3.value) & (dataframe['volume'] > 0)) conditions.append(self.exit_condition_4_enable.value & (dataframe['rsi'] > self.exit_dual_rsi_rsi_4.value) & (dataframe['rsi_1h'] > self.exit_dual_rsi_rsi_1h_4.value) & (dataframe['volume'] > 0)) conditions.append(self.exit_condition_6_enable.value & (dataframe['close'] < dataframe['ema_200']) & (dataframe['close'] > dataframe['ema_50']) & (dataframe['rsi'] > self.exit_rsi_under_6.value) & (dataframe['volume'] > 0)) conditions.append(self.exit_condition_7_enable.value & (dataframe['rsi_1h'] > self.exit_rsi_1h_7.value) & qtpylib.crossed_below(dataframe['ema_12'], dataframe['ema_26']) & (dataframe['volume'] > 0)) conditions.append(self.exit_condition_8_enable.value & (dataframe['close'] > dataframe['bb20_2_upp_1h'] * self.exit_bb_relative_8.value) & (dataframe['volume'] > 0)) for i in self.ma_types: conditions.append((dataframe['close'] > dataframe[f'{i}_offset_exit']) & (dataframe['volume'] > 0)) if conditions: dataframe.loc[reduce(lambda x, y: x | y, conditions), 'exit'] = 1 return dataframe # Elliot Wave Oscillator def EWO(dataframe, sma1_length=5, sma2_length=35): df = dataframe.copy() sma1 = ta.EMA(df, timeperiod=sma1_length) sma2 = ta.EMA(df, timeperiod=sma2_length) smadif = (sma1 - sma2) / df['close'] * 100 return smadif # Chaikin Money Flow def chaikin_money_flow(dataframe, n=20, fillna=False): """Chaikin Money Flow (CMF) It measures the amount of Money Flow Volume over a specific period. http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:chaikin_money_flow_cmf Args: dataframe(pandas.Dataframe): dataframe containing ohlcv n(int): n period. fillna(bool): if True, fill nan values. Returns: pandas.Series: New feature generated. """ df = dataframe.copy() mfv = (df['close'] - df['low'] - (df['high'] - df['close'])) / (df['high'] - df['low']) mfv = mfv.fillna(0.0) # float division by zero mfv *= df['volume'] cmf = mfv.rolling(n, min_periods=0).sum() / df['volume'].rolling(n, min_periods=0).sum() if fillna: cmf = cmf.replace([np.inf, -np.inf], np.nan).fillna(0) return Series(cmf, name='cmf')