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Strategy004 is a trading strategy that uses various technical indicators to generate buy and sell signals for a given dataset. In the populate_indicators function, the strategy calculates and adds several technical indicators to the input DataFrame. These indicators include ADX (Average Directional Index), CCI (Commodity Channel Index), Stochastic Fast %D and %K, Slow Stochastic Fast %D and %K, EMA (Exponential Moving Average), and the mean volume.
The populate_buy_trend function populates the buy signal based on the defined conditions.
The conditions include checking the values of ADX and Slow ADX, CCI, Fast %K and %D (previous and current), Slow Fast %K and %D (previous and current), and the mean volume.
If any of the conditions are met, the 'buy' column in the DataFrame is set to 1. Similarly, the populate_sell_trend function populates the sell signal based on the defined conditions. The conditions include checking the values of Slow ADX, Fast %K and %D (previous and current), and the closing price compared to the EMA5. If any of the conditions are met, the 'sell' column in the DataFrame is set to 1. Overall, Strategy004 combines multiple technical indicators to determine buy and sell signals based on specific conditions in the input dataset.
The populate_buy_trend function populates the buy signal based on the defined conditions.
The conditions include checking the values of ADX and Slow ADX, CCI, Fast %K and %D (previous and current), Slow Fast %K and %D (previous and current), and the mean volume.
If any of the conditions are met, the 'buy' column in the DataFrame is set to 1. Similarly, the populate_sell_trend function populates the sell signal based on the defined conditions. The conditions include checking the values of Slow ADX, Fast %K and %D (previous and current), and the closing price compared to the EMA5. If any of the conditions are met, the 'sell' column in the DataFrame is set to 1. Overall, Strategy004 combines multiple technical indicators to determine buy and sell signals based on specific conditions in the input dataset.
Biased Indicators
mean-volume
stoploss: -0.336 timeframe: 5m hash(sha256): d0407687830e5f266ece945fae1d30ddfb2b7ba1bb2792bf1d68df2540f1dba6 indicators: meanvolume slowfastkprevious slowfastdprevious adx slowfastd volume slowadx close cci fastkprevious ema5 fastd fastk slowfastk fastdprevious
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last change: 2023-07-05 14:22:14