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 price data. The populate_indicators method adds several TA indicators to the DataFrame, including ADX (Average Directional Index), AO (Awesome Oscillator), MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), MINUS_DM, MINUS_DI, PLUS_DM, PLUS_DI, RSI (Relative Strength Index), stochastic indicators, Bollinger Bands, EMA (Exponential Moving Average), SAR (Stop and Reverse), SMA (Simple Moving Average), TEMA (Triple Exponential Moving Average), and HT_SINE (Hilbert Transform - Sine Wave). The populate_buy_trend method populates the buy signal in the DataFrame based on specific conditions.
It checks if the RSI is below 35, the fastd indicator is below 35, the ADX is above 30, and the plus_di indicator is above 0.5.
Alternatively, if the ADX is above 65 and the plus_di indicator is above 0.5, a buy signal is generated.
The populate_sell_trend method populates the sell signal in the DataFrame based on specific conditions. It checks if either the RSI or the fastd indicator crosses above 70, the ADX is above 10, and the minus_di indicator is above 0. Alternatively, if the ADX is above 70 and the minus_di indicator is above 0.5, a sell signal is generated. These methods are used to populate the buy and sell columns in the DataFrame, indicating when to buy or sell according to the defined strategy and TA indicators.
It checks if the RSI is below 35, the fastd indicator is below 35, the ADX is above 30, and the plus_di indicator is above 0.5.
Alternatively, if the ADX is above 65 and the plus_di indicator is above 0.5, a buy signal is generated.
The populate_sell_trend method populates the sell signal in the DataFrame based on specific conditions. It checks if either the RSI or the fastd indicator crosses above 70, the ADX is above 10, and the minus_di indicator is above 0. Alternatively, if the ADX is above 70 and the minus_di indicator is above 0.5, a sell signal is generated. These methods are used to populate the buy and sell columns in the DataFrame, indicating when to buy or sell according to the defined strategy and TA indicators.
stoploss: -0.1 timeframe: 5m hash(sha256): 7cd54240c4fb00af6733b939f0b0ed0cfb5ce8886b8f59adc15c2c7880ccc653 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
Similar Strategies: (based on used indicators)
Strategy: DefaultStrategy, Similarity Score: 98.15%
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Strategy: default_strategy, Similarity Score: 98.15%
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Strategy: default_strategy_6, Similarity Score: 98.15%
Strategy: default_strategy_7, Similarity Score: 98.15%
Strategy: default_strategy_8, Similarity Score: 98.15%
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Strategy: legacy_strategy, Similarity Score: 96.3%
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Strategy: test_strategy, Similarity Score: 96.3%
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Strategy: test_strategy_194, Similarity Score: 96.3%
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Strategy: sample_strategy, Similarity Score: 94.44%
Strategy: Strategy1HBTC, Similarity Score: 92.59%
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Strategy: ichimoku, Similarity Score: 79.63%
Strategy: FrayLIVEBTC15m, Similarity Score: 77.78%
last change: 2024-04-28 23:31:22