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The CombinedBinHAndClucHyperStrategy is a trading strategy implemented as a class that inherits from the IStrategy class. It combines two sub-strategies, BinHV45 and ClucMay72018, and uses various indicators to make buy and sell decisions. In the populate_indicators() method, the strategy calculates and populates several indicators, including Bollinger Bands, moving averages, and volume averages, based on the input dataframe.
In the populate_buy_trend() method, the strategy determines the buy signals based on specific conditions.
For the BinHV45 strategy, it checks if the lower Bollinger Band is above zero, the difference between the mid Bollinger Band and the lower Bollinger Band is greater than a certain percentage of the closing price, the absolute difference between consecutive closing prices is greater than a certain percentage of the closing price, the absolute difference between the closing price and the lowest price is less than a certain percentage of the difference between the mid Bollinger Band and the lower Bollinger Band, the closing price is lower than the previous closing price, and the closing price is less than or equal to the previous closing price.
For the ClucMay72018 strategy, it checks if the closing price is below the slow exponential moving average, the closing price is below a certain multiple of the lower Bollinger Band, and the volume is less than a certain multiple of the previous volume average. In the populate_sell_trend() method, the strategy determines the sell signals based on the condition that the closing price is higher than the middle Bollinger Band. The strategy is used in combination with the HyperOpt class, which is not included in the provided code snippet. The HyperOpt class is likely responsible for optimizing the parameters of the strategy through hyperparameter optimization techniques. Overall, the CombinedBinHAndClucHyperStrategy combines two sub-strategies and uses various indicators to generate buy and sell signals, aiming to profit from price movements in the financial markets.
In the populate_buy_trend() method, the strategy determines the buy signals based on specific conditions.
For the BinHV45 strategy, it checks if the lower Bollinger Band is above zero, the difference between the mid Bollinger Band and the lower Bollinger Band is greater than a certain percentage of the closing price, the absolute difference between consecutive closing prices is greater than a certain percentage of the closing price, the absolute difference between the closing price and the lowest price is less than a certain percentage of the difference between the mid Bollinger Band and the lower Bollinger Band, the closing price is lower than the previous closing price, and the closing price is less than or equal to the previous closing price.
For the ClucMay72018 strategy, it checks if the closing price is below the slow exponential moving average, the closing price is below a certain multiple of the lower Bollinger Band, and the volume is less than a certain multiple of the previous volume average. In the populate_sell_trend() method, the strategy determines the sell signals based on the condition that the closing price is higher than the middle Bollinger Band. The strategy is used in combination with the HyperOpt class, which is not included in the provided code snippet. The HyperOpt class is likely responsible for optimizing the parameters of the strategy through hyperparameter optimization techniques. Overall, the CombinedBinHAndClucHyperStrategy combines two sub-strategies and uses various indicators to generate buy and sell signals, aiming to profit from price movements in the financial markets.
startup_candle_count : 50 lower: -100.000% bbdelta: -100.000%
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.05 timeframe: 5m hash(sha256): 38d821de2706dfb3e49f6c7d9747439d16c4e668cdc23e9d5e2630bf7b256519 indicators: upper mid lower volume close bb_middleband closedelta tail bb_upperband bb_lowerband ema_slow low volume_mean_slow bbdelta
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last change: 2024-09-29 01:08:30