# source: https://raw.githubusercontent.com/remiotore/ccxt-freqtrade/44beaeb6a420cd8e9f2e4ea93e11d6cfa192ee03/strategies/BBRSITV_542.py from freqtrade.strategy.interface import IStrategy from pandas import DataFrame, Series import talib.abstract as ta import freqtrade.vendor.qtpylib.indicators as qtpylib import numpy as np from freqtrade.strategy import DecimalParameter, IntParameter, stoploss_from_open from datetime import datetime, timedelta from functools import reduce def EWO(dataframe, ema_length=5, ema2_length=35): df = dataframe.copy() ema1 = ta.EMA(df, timeperiod=ema_length) ema2 = ta.EMA(df, timeperiod=ema2_length) emadif = (ema1 - ema2) / df['close'] * 100 return emadif def vwma(dataframe: DataFrame, length: int = 10): """Indicator: Volume Weighted Moving Average (VWMA)""" pv = dataframe['close'] * dataframe['volume'] vwma = Series(ta.SMA(pv, timeperiod=length) / ta.SMA(dataframe['volume'], timeperiod=length)) return vwma def moderi(dataframe: DataFrame, len_slow_ma: int = 32) -> Series: slow_ma = Series(ta.EMA(vwma(dataframe, length=len_slow_ma), timeperiod=len_slow_ma)) return slow_ma >= slow_ma.shift(1) # we just need true & false for ERI trend class Github_remiotore_ccxt_freqtrade__BBRSITV_542__20260111_210550(IStrategy): INTERFACE_VERSION = 2 buy_params = { "ewo_high": 4.86, "for_ma_length": 22, "for_sigma": 1.74, } sell_params = { "for_ma_length_sell": 65, "for_sigma_sell": 1.895, "rsi_high": 72, } minimal_roi = { "0": 0.1 } stoploss = -0.25 # value loaded from strategy trailing_stop = False # value loaded from strategy trailing_stop_positive = 0.005 # value loaded from strategy trailing_stop_positive_offset = 0.025 # value loaded from strategy trailing_only_offset_is_reached = True # value loaded from strategy use_sell_signal = True sell_profit_only = False sell_profit_offset = 0.01 ignore_roi_if_buy_signal = False process_only_new_candles = True startup_candle_count = 30 protections = [ { "method": "LowProfitPairs", "lookback_period_candles": 60, "trade_limit": 1, "stop_duration": 60, "required_profit": -0.05 }, { "method": "MaxDrawdown", "lookback_period_candles": 24, "trade_limit": 1, "stop_duration_candles": 12, "max_allowed_drawdown": 0.2 }, ] ewo_high = DecimalParameter(0, 7.0, default=buy_params['ewo_high'], space='buy', optimize=True) for_sigma = DecimalParameter(0, 10.0, default=buy_params['for_sigma'], space='buy', optimize=True) for_sigma_sell = DecimalParameter(0, 10.0, default=sell_params['for_sigma_sell'], space='sell', optimize=True) rsi_high = IntParameter(60, 100, default=sell_params['rsi_high'], space='sell', optimize=True) for_ma_length = IntParameter(5, 80, default=buy_params['for_ma_length'], space='buy', optimize=True) for_ma_length_sell = IntParameter(5, 80, default=sell_params['for_ma_length_sell'], space='sell', optimize=True) timeframe = '5m' fast_ewo = 50 slow_ewo = 200 def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: src = 'close' for_rsi = 14 for_mult = 2 for_sigma = 0.1 dataframe['rsi'] = ta.RSI(dataframe[src], for_rsi) dataframe['rsi_4'] = ta.RSI(dataframe[src], 4) if self.config['runmode'].value == 'hyperopt': for for_ma in range(5, 81): dataframe[f'basis_{for_ma}'] = ta.EMA(dataframe['rsi'], for_ma) dataframe[f'dev_{for_ma}'] = ta.STDDEV(dataframe['rsi'], for_ma) else: dataframe[f'basis_{self.for_ma_length.value}'] = ta.EMA(dataframe['rsi'], self.for_ma_length.value) dataframe[f'basis_{self.for_ma_length_sell.value}'] = ta.EMA(dataframe['rsi'], self.for_ma_length_sell.value) dataframe[f'dev_{self.for_ma_length.value}'] = ta.STDDEV(dataframe['rsi'], self.for_ma_length.value) dataframe[f'dev_{self.for_ma_length_sell.value}'] = ta.STDDEV(dataframe['rsi'], self.for_ma_length_sell.value) h1 = 70 h2 = 30 dataframe['EWO'] = EWO(dataframe, self.fast_ewo, self.slow_ewo) return dataframe def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe.loc[ ( (dataframe['rsi'] < (dataframe[f'basis_{self.for_ma_length.value}'] - (dataframe[f'dev_{self.for_ma_length.value}'] * self.for_sigma.value))) & (dataframe['EWO'] > self.ewo_high.value) & (dataframe['volume'] > 0) ), 'buy'] = 1 return dataframe def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe.loc[ ( ( (dataframe['rsi'] > self.rsi_high.value) | (dataframe['rsi'] > dataframe[f'basis_{self.for_ma_length_sell.value}'] + ((dataframe[f'dev_{self.for_ma_length_sell.value}'] * self.for_sigma_sell.value))) ) & (dataframe['volume'] > 0) ), 'sell'] = 1 return dataframe class BBRSITV4(Github_remiotore_ccxt_freqtrade__BBRSITV_542__20260111_210550): minimal_roi = { "0": 0.07 } ignore_roi_if_buy_signal = True startup_candle_count = 400 stoploss = -0.3 # value loaded from strategy def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe.loc[ ( (dataframe['rsi'] < (dataframe[f'basis_{self.for_ma_length.value}'] - (dataframe[f'dev_{self.for_ma_length.value}'] * self.for_sigma.value))) & ( ( (dataframe['EWO'] > self.ewo_high.value) & (dataframe['EWO'] < 10) ) | ( (dataframe['EWO'] >= 10) & (dataframe['rsi'] < 40) ) ) & (dataframe['rsi_4'] < 25) & (dataframe['volume'] > 0) ), 'buy'] = 1 return dataframe class BBRSITV1(Github_remiotore_ccxt_freqtrade__BBRSITV_542__20260111_210550): """ 2021-07-01 00:00:00 -> 2021-09-28 00:00:00 | Max open trades : 4 ============================================================================= STRATEGY SUMMARY ============================================================================= | Strategy | Buys | Avg Profit % | Cum Profit % | Tot Profit USDT | Tot Profit % | Avg Duration | Win Draw Loss Win% | Drawdown | |-----------------------+--------+----------------+----------------+-------------------+----------------+----------------+-------------------------+-----------------------| | Elliotv8_08SL | 906 | 0.92 | 832.19 | 19770.304 | 659.01 | 0:38:00 | 717 0 189 79.1 | 2020.917 USDT 79.84% | | SMAOffsetProtectOptV1 | 417 | 1.33 | 555.91 | 8423.809 | 280.79 | 1:44:00 | 300 0 117 71.9 | 1056.072 USDT 61.08% | | BBRSITV | 309 | 1.10 | 340.17 | 3869.800 | 128.99 | 2:53:00 | 223 0 86 72.2 | 261.984 USDT 25.84% | ============================================================================================================================================================================ """ INTERFACE_VERSION = 2 buy_params = { "ewo_high": 4.964, "for_ma_length": 12, "for_sigma": 2.313, } sell_params = { "for_ma_length_sell": 78, "for_sigma_sell": 1.67, "rsi_high": 60, } minimal_roi = { "0": 0.1 } stoploss = -0.25 # value loaded from strategy trailing_stop = False # value loaded from strategy trailing_stop_positive = 0.005 # value loaded from strategy trailing_stop_positive_offset = 0.025 # value loaded from strategy trailing_only_offset_is_reached = True # value loaded from strategy class BBRSITV2(Github_remiotore_ccxt_freqtrade__BBRSITV_542__20260111_210550): """ 2021-07-01 00:00:00 -> 2021-09-28 00:00:00 | Max open trades : 4 ============================================================================= STRATEGY SUMMARY ============================================================================= | Strategy | Buys | Avg Profit % | Cum Profit % | Tot Profit USDT | Tot Profit % | Avg Duration | Win Draw Loss Win% | Drawdown | |-----------------------+--------+----------------+----------------+-------------------+----------------+----------------+-------------------------+-----------------------| | Elliotv8_08SL | 906 | 0.92 | 832.19 | 19770.304 | 659.01 | 0:38:00 | 717 0 189 79.1 | 2020.917 USDT 79.84% | | SMAOffsetProtectOptV1 | 417 | 1.33 | 555.91 | 8423.809 | 280.79 | 1:44:00 | 300 0 117 71.9 | 1056.072 USDT 61.08% | | BBRSITV | 486 | 1.11 | 537.58 | 7689.862 | 256.33 | 5:01:00 | 287 0 199 59.1 | 1279.461 USDT 75.45% | ============================================================================================================================================================================ """ buy_params = { "ewo_high": 4.85, "for_ma_length": 11, "for_sigma": 2.066, } sell_params = { "for_ma_length_sell": 61, "for_sigma_sell": 1.612, "rsi_high": 87, } minimal_roi = { "0": 0.1 } stoploss = -0.25 # value loaded from strategy trailing_stop = False # value loaded from strategy trailing_stop_positive = 0.005 # value loaded from strategy trailing_stop_positive_offset = 0.025 # value loaded from strategy trailing_only_offset_is_reached = True # value loaded from strategy class BBRSITV3(Github_remiotore_ccxt_freqtrade__BBRSITV_542__20260111_210550): """ 2021-07-01 00:00:00 -> 2021-09-28 00:00:00 | Max open trades : 4 ============================================================================== STRATEGY SUMMARY ============================================================================= | Strategy | Buys | Avg Profit % | Cum Profit % | Tot Profit USDT | Tot Profit % | Avg Duration | Win Draw Loss Win% | Drawdown | |-----------------------+--------+----------------+----------------+-------------------+----------------+----------------+-------------------------+------------------------| | Elliotv8_08SL | 906 | 0.92 | 832.19 | 19770.304 | 659.01 | 0:38:00 | 717 0 189 79.1 | 2020.917 USDT 79.84% | | SMAOffsetProtectOptV1 | 417 | 1.33 | 555.91 | 8423.809 | 280.79 | 1:44:00 | 300 0 117 71.9 | 1056.072 USDT 61.08% | | BBRSITV | 627 | 1.14 | 715.85 | 12998.605 | 433.29 | 5:35:00 | 374 0 253 59.6 | 2294.408 USDT 100.60% | =============================================================================================================================================================================""" INTERFACE_VERSION = 2 buy_params = { "ewo_high": 4.86, "for_ma_length": 22, "for_sigma": 1.74, } sell_params = { "for_ma_length_sell": 65, "for_sigma_sell": 1.895, "rsi_high": 72, } minimal_roi = { "0": 0.1 } stoploss = -0.25 # value loaded from strategy trailing_stop = True trailing_stop_positive = 0.078 trailing_stop_positive_offset = 0.095 trailing_only_offset_is_reached = False class BBRSITV5(Github_remiotore_ccxt_freqtrade__BBRSITV_542__20260111_210550): minimal_roi = { "0": 0.04 } ignore_roi_if_buy_signal = True startup_candle_count = 400 use_custom_stoploss = True stoploss = -0.3 # value loaded from strategy sell_params = { "pHSL": -0.178, "pPF_1": 0.01, "pPF_2": 0.048, "pSL_1": 0.009, "pSL_2": 0.043, } is_optimize_trailing = True pHSL = DecimalParameter(-0.200, -0.040, default=-0.08, decimals=3, space='sell', optimize=is_optimize_trailing , load=True) pPF_1 = DecimalParameter(0.008, 0.020, default=0.016, decimals=3, space='sell', optimize=is_optimize_trailing , load=True) pSL_1 = DecimalParameter(0.008, 0.020, default=0.011, decimals=3, space='sell', optimize=is_optimize_trailing , load=True) pPF_2 = DecimalParameter(0.040, 0.100, default=0.080, decimals=3, space='sell', optimize=is_optimize_trailing , load=True) pSL_2 = DecimalParameter(0.020, 0.070, default=0.040, decimals=3, space='sell', optimize=is_optimize_trailing , load=True) def custom_stoploss(self, pair: str, trade: 'Trade', current_time: datetime, current_rate: float, current_profit: float, **kwargs) -> float: HSL = self.pHSL.value PF_1 = self.pPF_1.value SL_1 = self.pSL_1.value PF_2 = self.pPF_2.value SL_2 = self.pSL_2.value if (current_profit > PF_2): sl_profit = SL_2 + (current_profit - PF_2) elif (current_profit > PF_1): sl_profit = SL_1 + ((current_profit - PF_1) * (SL_2 - SL_1) / (PF_2 - PF_1)) else: sl_profit = HSL if (sl_profit >= current_profit): return -0.99 return stoploss_from_open(sl_profit, current_profit) def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe.loc[ ( (dataframe['rsi'] < (dataframe[f'basis_{self.for_ma_length.value}'] - (dataframe[f'dev_{self.for_ma_length.value}'] * self.for_sigma.value))) & ( ( (dataframe['EWO'] > self.ewo_high.value) & (dataframe['EWO'] < 10) ) | ( (dataframe['EWO'] >= 10) & (dataframe['rsi'] < 40) ) ) & (dataframe['rsi_4'] < 25) & (dataframe['volume'] > 0) ), 'buy'] = 1 return dataframe