The DefaultStrategy class is a trading strategy that uses various technical analysis (TA) indicators to generate buy and sell signals for a given DataFrame of financial data. In the method populate_indicators, the strategy calculates and adds several TA indicators to the DataFrame. These indicators include ADX (Average Directional Index), Awesome Oscillator, MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), MINUS_DM, MINUS_DI, PLUS_DM, PLUS_DI, RSI (Relative Strength Index), Fisher RSI, Stochastic Oscillator (slowd and slowk), Bollinger Bands (bb_lowerband, bb_middleband, and bb_upperband), EMA (Exponential Moving Average) with different time periods, SAR (Stop and Reverse), SMA (Simple Moving Average), TEMA (Triple Exponential Moving Average), Hilbert Transform - SineWave (htsine and htleadsine), and Heikin-Ashi candles (ha_open, ha_close, ha_high, and ha_low).
Some indicators are commented out, indicating that they are optional and not currently used in the strategy.
In the method populate_buy_trend, the strategy defines the conditions for a buy signal based on the values of certain indicators.
The conditions include a low RSI (<35), low Stochastic Oscillator (%D < 35), high ADX (>30), and positive PLUS_DI. Another condition is a high ADX (>65) and positive PLUS_DI. If any of these conditions are met, the 'buy' column in the DataFrame is set to 1 for the corresponding rows. In the method populate_sell_trend, the strategy defines the conditions for a sell signal based on the values of certain indicators. The conditions include crossing above certain thresholds for RSI or Stochastic Oscillator, a minimum ADX value, and a positive MINUS_DI. Another condition is a high ADX (>70) and positive MINUS_DI. If any of these conditions are met, the 'sell' column in the DataFrame is set to 1 for the corresponding rows. Overall, the DefaultStrategy uses a combination of TA indicators to generate buy and sell signals based on certain conditions in the financial data.
Some indicators are commented out, indicating that they are optional and not currently used in the strategy.
In the method populate_buy_trend, the strategy defines the conditions for a buy signal based on the values of certain indicators.
The conditions include a low RSI (<35), low Stochastic Oscillator (%D < 35), high ADX (>30), and positive PLUS_DI. Another condition is a high ADX (>65) and positive PLUS_DI. If any of these conditions are met, the 'buy' column in the DataFrame is set to 1 for the corresponding rows. In the method populate_sell_trend, the strategy defines the conditions for a sell signal based on the values of certain indicators. The conditions include crossing above certain thresholds for RSI or Stochastic Oscillator, a minimum ADX value, and a positive MINUS_DI. Another condition is a high ADX (>70) and positive MINUS_DI. If any of these conditions are met, the 'sell' column in the DataFrame is set to 1 for the corresponding rows. Overall, the DefaultStrategy uses a combination of TA indicators to generate buy and sell signals based on certain conditions in the financial data.
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stoploss: -0.1 timeframe: 5m hash(sha256): 37e24ac82d7ede9fc34d0afdd0c71b5b8fe92f099d37c5fd49a013c8af664b56 indicators: lowerband upper htsine minus_dm tema plus_dm CDLDRAGONFLYDOJI CDLHANGINGMAN CDLSHOOTINGSTAR CDLGRAVESTONEDOJI close ha_low CDLSPINNINGTOP mfi bb_lowerband ema5 CDLENGULFING fastd_rsi CDL3WHITESOLDIERS fastk macdhist CDLHAMMER htleadsine sma slowd leadsine CDLMORNINGSTAR CDLEVENINGDOJISTAR blower open plus_di fastd ema10 CDLPIERCING CDLEVENINGSTAR sar ha_open CDL3OUTSIDE high macdsignal slowk mid fisher_rsi fastk_rsi ema100 fisher_rsi_norma cci ha_close macd CDL3INSIDE ema3 CDLINVERTEDHAMMER CDLH
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last change: 2024-07-28 19:59:32