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Change Bollinger bands for qtpylib.bollinger_bands
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@ -107,21 +107,25 @@ def populate_indicators(dataframe: DataFrame) -> DataFrame:
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# Overlap Studies
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# ------------------------------------
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# Previous Bollinger bands
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# Because ta.BBANDS implementation is broken with small numbers, it actually
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# returns middle band for all the three bands. Switch to qtpylib.bollinger_bands
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# and use middle band instead.
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dataframe['blower'] = ta.BBANDS(dataframe, nbdevup=2, nbdevdn=2)['lowerband']
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"""
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# Bollinger bands
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bollinger = ta.BBANDS(dataframe, nbdevup=2, nbdevdn=2)
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dataframe['bb_lowerband'] = bollinger['lowerband']
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"""
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dataframe['bb_middleband'] = bollinger['middleband']
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dataframe['bb_upperband'] = bollinger['upperband']
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bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2)
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dataframe['bb_lowerband'] = bollinger['lower']
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dataframe['bb_middleband'] = bollinger['mid']
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dataframe['bb_upperband'] = bollinger['upper']
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"""
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# EMA - Exponential Moving Average
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dataframe['ema5'] = ta.EMA(dataframe, timeperiod=5)
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dataframe['ema10'] = ta.EMA(dataframe, timeperiod=10)
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dataframe['ema50'] = ta.EMA(dataframe, timeperiod=50)
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dataframe['ema100'] = ta.EMA(dataframe, timeperiod=100)
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"""
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dataframe['ema200'] = ta.EMA(dataframe, timeperiod=200)
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"""
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# SAR Parabol
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dataframe['sar'] = ta.SAR(dataframe)
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@ -189,7 +189,7 @@ def buy_strategy_generator(params):
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# TRIGGERS
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triggers = {
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'lower_bb': dataframe['tema'] <= dataframe['bb_lowerband'],
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'lower_bb': dataframe['tema'] <= dataframe['blower'],
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'faststoch10': (crossed_above(dataframe['fastd'], 10.0)),
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'ao_cross_zero': (crossed_above(dataframe['ao'], 0.0)),
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'ema5_cross_ema10': (crossed_above(dataframe['ema5'], dataframe['ema10'])),
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