more parametrizing. adjust ranges for previous parameters
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@ -82,7 +82,8 @@ def buy_strategy_generator(params):
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print(params)
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def populate_buy_trend(dataframe: DataFrame) -> DataFrame:
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conditions = []
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conditions.append(dataframe['close'] < dataframe['sma'])
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if params['below_sma']['enabled']:
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conditions.append(dataframe['close'] < dataframe['sma'])
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conditions.append(dataframe['tema'] <= dataframe['blower'])
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if params['mfi']['enabled']:
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conditions.append(dataframe['mfi'] < params['mfi']['value'])
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@ -108,15 +109,19 @@ def test_hyperopt(conf, pairs, mocker):
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space = {
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'mfi': hp.choice('mfi', [
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{'enabled': False},
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{'enabled': True, 'value': hp.uniform('mfi-value', 10, 50)}
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{'enabled': True, 'value': hp.uniform('mfi-value', 2, 40)}
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]),
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'fastd': hp.choice('fastd', [
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{'enabled': False},
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{'enabled': True, 'value': hp.uniform('fastd-value', 10, 50)}
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{'enabled': True, 'value': hp.uniform('fastd-value', 2, 40)}
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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, 50)}
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{'enabled': True, 'value': hp.uniform('adx-value', 2, 40)}
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]),
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'below_sma': hp.choice('below_sma', [
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{'enabled': False},
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{'enabled': True}
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]),
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}
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