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The ReinforcedSmoothScalp strategy is designed to generate multiple potential buy signals and aim for small profits on each trade. Here is a breakdown of the strategy:
The strategy recommends having at least 60 parallel trades at any time to cover unavoidable losses. The minimal ROI (Return on Investment) for the strategy is set to 0.02 (2%).
The stoploss is set to -0.1, meaning a maximum loss of 10% is allowed before selling.
The strategy operates on a 1-minute timeframe, aiming for short-term trades.
The resample_factor is set to 5, which means a general trend is established by resampling the data to a larger timeframe (5 minutes in this case). The strategy uses various technical indicators, including: Simple Moving Average (SMA) with a period of 50, calculated on the resampled data. Exponential Moving Averages (EMA) with a time period of 5, calculated on high, close, and low prices. Stochastic Fast Oscillator (STOCHF) with parameters (5, 3, 0, 3, 0) for %K and %D. Average Directional Index (ADX). Commodity Channel Index (CCI) with a time period of 20. Relative Strength Index (RSI) with a time period of 14. Money Flow Index (MFI). Bollinger Bands (BB) with a window of 20 and 2 standard deviations. The populate_indicators function populates the indicators mentioned above. The populate_buy_trend function defines the conditions for a buy signal: The opening price is lower than the EMA low. ADX is greater than 30. MFI is less than 30. Fast %K and %D are both below 30, and %K has crossed above %D. The resampled SMA is lower than the closing price. The populate_sell_trend function defines the conditions for a sell signal: The opening price is higher than or equal to the EMA high. Either fast %K or %D has crossed above 70. CCI is greater than 100. By backtesting this strategy on historical data, you can evaluate its performance and assess its effectiveness in generating profits.
The stoploss is set to -0.1, meaning a maximum loss of 10% is allowed before selling.
The strategy operates on a 1-minute timeframe, aiming for short-term trades.
The resample_factor is set to 5, which means a general trend is established by resampling the data to a larger timeframe (5 minutes in this case). The strategy uses various technical indicators, including: Simple Moving Average (SMA) with a period of 50, calculated on the resampled data. Exponential Moving Averages (EMA) with a time period of 5, calculated on high, close, and low prices. Stochastic Fast Oscillator (STOCHF) with parameters (5, 3, 0, 3, 0) for %K and %D. Average Directional Index (ADX). Commodity Channel Index (CCI) with a time period of 20. Relative Strength Index (RSI) with a time period of 14. Money Flow Index (MFI). Bollinger Bands (BB) with a window of 20 and 2 standard deviations. The populate_indicators function populates the indicators mentioned above. The populate_buy_trend function defines the conditions for a buy signal: The opening price is lower than the EMA low. ADX is greater than 30. MFI is less than 30. Fast %K and %D are both below 30, and %K has crossed above %D. The resampled SMA is lower than the closing price. The populate_sell_trend function defines the conditions for a sell signal: The opening price is higher than or equal to the EMA high. Either fast %K or %D has crossed above 70. CCI is greater than 100. By backtesting this strategy on historical data, you can evaluate its performance and assess its effectiveness in generating profits.
stoploss: -0.1 timeframe: 1m hash(sha256): f6b79c5c7ce33582aeacc5cda5806151e39544584f77cdfc1f87ac2c1cb6774f indicators: upper ema_close close mfi bb_lowerband fastk sma open fastd mid ema_high cci ema_low adx lower bb_middleband rsi bb_upperband resample_sma
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last change: 2023-07-05 05:55:04