remove two unused or poorly performing indicators
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3db13fae13
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@ -39,9 +39,7 @@ def populate_indicators(dataframe: DataFrame) -> DataFrame:
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dataframe['sma'] = ta.SMA(dataframe, timeperiod=40)
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dataframe['tema'] = ta.TEMA(dataframe, timeperiod=9)
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dataframe['mfi'] = ta.MFI(dataframe)
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dataframe['cci'] = ta.CCI(dataframe)
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dataframe['rsi'] = ta.RSI(dataframe)
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dataframe['mom'] = ta.MOM(dataframe)
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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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@ -32,8 +32,6 @@ def buy_strategy_generator(params):
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conditions.append(dataframe['fastd'] < params['fastd']['value'])
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if params['adx']['enabled']:
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conditions.append(dataframe['adx'] > params['adx']['value'])
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if params['cci']['enabled']:
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conditions.append(dataframe['cci'] < params['cci']['value'])
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if params['rsi']['enabled']:
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conditions.append(dataframe['rsi'] < params['rsi']['value'])
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if params['over_sar']['enabled']:
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@ -99,11 +97,7 @@ def test_hyperopt(backtest_conf, backdata, mocker):
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]),
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'adx': hp.choice('adx', [
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{'enabled': False},
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{'enabled': True, 'value': hp.uniform('adx-value', 10, 30)}
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]),
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'cci': hp.choice('cci', [
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{'enabled': False},
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{'enabled': True, 'value': hp.uniform('cci-value', -150, -100)}
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{'enabled': True, 'value': hp.uniform('adx-value', 10, 50)}
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]),
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'rsi': hp.choice('rsi', [
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{'enabled': False},
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