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The SampleStrategy is a trading strategy that utilizes various technical analysis (TA) indicators to generate buy and sell signals. The strategy has three main functions:
populate_indicators: This function calculates and adds several TA indicators to the given DataFrame. The indicators include ADX (Average Directional Index), RSI (Relative Strength Index), Stochastic Fast, MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), Bollinger Bands, SAR (Stop and Reverse), TEMA (Triple Exponential Moving Average), and HTSINE (Hilbert Transform - SineWave).
populate_buy_trend: This function populates the buy signal for the DataFrame based on the TA indicators.
The buy signal is triggered when the RSI crosses above 30, the TEMA is below the Bollinger Bands middle band, the TEMA is rising, and the volume is not zero.
populate_sell_trend: This function populates the sell signal for the DataFrame based on the TA indicators. The sell signal is triggered when the RSI crosses above 70, the TEMA is above the Bollinger Bands middle band, the TEMA is falling, and the volume is not zero. These functions modify the DataFrame by adding the 'buy' and 'sell' columns, which indicate the respective signals. The strategy aims to identify potential buying opportunities when certain conditions are met and selling opportunities when other conditions are met, based on the selected TA indicators.
populate_buy_trend: This function populates the buy signal for the DataFrame based on the TA indicators.
The buy signal is triggered when the RSI crosses above 30, the TEMA is below the Bollinger Bands middle band, the TEMA is rising, and the volume is not zero.
populate_sell_trend: This function populates the sell signal for the DataFrame based on the TA indicators. The sell signal is triggered when the RSI crosses above 70, the TEMA is above the Bollinger Bands middle band, the TEMA is falling, and the volume is not zero. These functions modify the DataFrame by adding the 'buy' and 'sell' columns, which indicate the respective signals. The strategy aims to identify potential buying opportunities when certain conditions are met and selling opportunities when other conditions are met, based on the selected TA indicators.
stoploss: -0.1 timeframe: 5m hash(sha256): 0e21d3457a5b172770068460645efe5599a2848031eb5b22b56d2ce96dcd7e04 indicators: upper htsine tema asks close mfi bb_lowerband bb_percent macdhist fastk htleadsine leadsine volume fastd best_ask sar bids macdsignal mid bb_width macd best_bid adx lower bb_middleband rsi bb_upperband sine
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last change: 2022-07-02 19:54:08