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The TestStrategy class is a backtesting strategy that adds various technical indicators to a given DataFrame of trading data. These indicators include ADX, RSI, stochastic fast %D and %K, MACD, MFI, Bollinger Bands, SAR, TEMA, and Hilbert Transform Sine and Lead Sine. The populate_indicators method populates the DataFrame with these indicators.
It takes a DataFrame of trading data and additional metadata as input and returns a DataFrame with all the mandatory indicators.
The buy and sell strategies are defined as static methods within the TestStrategy class.
The buy strategy is used to generate buy signals based on a set of conditions specified in the input parameters. The conditions can include MFI, %D, ADX, RSI, Bollinger Bands, MACD, and SAR indicators, as well as volume requirements. If the conditions are met, a 'buy' signal is set to 1 in the DataFrame. The sell strategy is used to generate sell signals based on a set of conditions specified in the input parameters. The conditions can include MFI, %D, ADX, RSI, Bollinger Bands, MACD, and SAR indicators, as well as volume requirements. If the conditions are met, a 'sell' signal is set to 1 in the DataFrame. The populate_buy_trend and populate_sell_trend methods use the buy and sell strategy generators to populate the DataFrame with buy and sell signals, respectively. Overall, the TestStrategy class provides a framework for backtesting trading strategies by adding technical indicators and generating buy and sell signals based on specified conditions.
It takes a DataFrame of trading data and additional metadata as input and returns a DataFrame with all the mandatory indicators.
The buy and sell strategies are defined as static methods within the TestStrategy class.
The buy strategy is used to generate buy signals based on a set of conditions specified in the input parameters. The conditions can include MFI, %D, ADX, RSI, Bollinger Bands, MACD, and SAR indicators, as well as volume requirements. If the conditions are met, a 'buy' signal is set to 1 in the DataFrame. The sell strategy is used to generate sell signals based on a set of conditions specified in the input parameters. The conditions can include MFI, %D, ADX, RSI, Bollinger Bands, MACD, and SAR indicators, as well as volume requirements. If the conditions are met, a 'sell' signal is set to 1 in the DataFrame. The populate_buy_trend and populate_sell_trend methods use the buy and sell strategy generators to populate the DataFrame with buy and sell signals, respectively. Overall, the TestStrategy class provides a framework for backtesting trading strategies by adding technical indicators and generating buy and sell signals based on specified conditions.
startup_candle_count : 30 bb_lowerband: -0.030% bb_middleband: -0.042% bb_upperband: -0.054% bb_percent: 24.444% bb_width: -5.425% sar: -0.073%
stoploss: -0.273 timeframe: 5m hash(sha256): 23ce3c17c9a6e3a8e52ea02a62a23fa5e3cc9fb4011848af42d87ff5df51b38a indicators: upper CDLDRAGONFLYDOJI CDLGRAVESTONEDOJI close CDLSPINNINGTOP bb_lowerband bb_percent CDL3WHITESOLDIERS kc_middleband volume sma10 high fisher_rsi_norma cci rsivalue ha_high adx aroonosc ema50 minus_dm plus_dm CDLHANGINGMAN aroondown CDLEVENINGDOJISTAR plus_di ha_open slowk macdsignal fastk_rsi minus_di roc lower rsi sma3 sine kc_percent wbb_upperband htsine tema wbb_lowerband uo mfi ema5 kc_width macdhist CDLHAMMER htleadsine sellrsivalue CDLEVENINGSTAR sma100 ema10 best_ask sar wbb_width CDL3O
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last change: 2023-09-02 08:24:38