include default buy/sell trends for the hyperopt strategy
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@ -33,6 +33,7 @@ class DefaultHyperOpts(IHyperOpt):
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# Bollinger bands
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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_upperband'] = bollinger['upper']
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dataframe['sar'] = ta.SAR(dataframe)
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return dataframe
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@ -111,21 +112,21 @@ class DefaultHyperOpts(IHyperOpt):
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if 'sell-fastd-enabled' in params and params['sell-fastd-enabled']:
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conditions.append(dataframe['fastd'] > params['sell-fastd-value'])
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if 'sell-adx-enabled' in params and params['sell-adx-enabled']:
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conditions.append(dataframe['adx'] > params['sell-adx-value'])
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conditions.append(dataframe['adx'] < params['sell-adx-value'])
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if 'sell-rsi-enabled' in params and params['sell-rsi-enabled']:
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conditions.append(dataframe['rsi'] > params['sell-rsi-value'])
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# TRIGGERS
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if 'sell-trigger' in params:
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if params['sell-trigger'] == 'sell-bb_lower':
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conditions.append(dataframe['close'] < dataframe['bb_lowerband'])
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if params['sell-trigger'] == 'sell-bb_upper':
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conditions.append(dataframe['close'] > dataframe['bb_upperband'])
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if params['sell-trigger'] == 'sell-macd_cross_signal':
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conditions.append(qtpylib.crossed_above(
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dataframe['macd'], dataframe['macdsignal']
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dataframe['macdsignal'], dataframe['macd']
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))
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if params['sell-trigger'] == 'sell-sar_reversal':
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conditions.append(qtpylib.crossed_above(
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dataframe['close'], dataframe['sar']
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dataframe['sar'], dataframe['close']
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))
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dataframe.loc[
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@ -150,7 +151,7 @@ class DefaultHyperOpts(IHyperOpt):
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Categorical([True, False], name='sell-fastd-enabled'),
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Categorical([True, False], name='sell-adx-enabled'),
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Categorical([True, False], name='sell-rsi-enabled'),
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Categorical(['sell-bb_lower',
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Categorical(['sell-bb_upper',
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'sell-macd_cross_signal',
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'sell-sar_reversal'], name='sell-trigger')
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]
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@ -190,3 +191,36 @@ class DefaultHyperOpts(IHyperOpt):
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Real(0.01, 0.07, name='roi_p2'),
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Real(0.01, 0.20, name='roi_p3'),
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]
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def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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"""
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Based on TA indicators. Should be a copy of from strategy
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must align to populate_indicators in this file
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Only used when --spaces does not include buy
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"""
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dataframe.loc[
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(
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(dataframe['close'] < dataframe['bb_lowerband']) &
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(dataframe['mfi'] < 16) &
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(dataframe['adx'] > 25) &
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(dataframe['rsi'] < 21)
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),
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'buy'] = 1
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return dataframe
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def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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"""
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Based on TA indicators. Should be a copy of from strategy
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must align to populate_indicators in this file
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Only used when --spaces does not include sell
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"""
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dataframe.loc[
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(
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(qtpylib.crossed_above(
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dataframe['macdsignal'], dataframe['macd']
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)) &
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(dataframe['fastd'] > 54)
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),
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'sell'] = 1
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return dataframe
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@ -42,6 +42,7 @@ class SampleHyperOpts(IHyperOpt):
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# Bollinger bands
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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_upperband'] = bollinger['upper']
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dataframe['sar'] = ta.SAR(dataframe)
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return dataframe
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@ -120,21 +121,21 @@ class SampleHyperOpts(IHyperOpt):
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if 'sell-fastd-enabled' in params and params['sell-fastd-enabled']:
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conditions.append(dataframe['fastd'] > params['sell-fastd-value'])
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if 'sell-adx-enabled' in params and params['sell-adx-enabled']:
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conditions.append(dataframe['adx'] > params['sell-adx-value'])
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conditions.append(dataframe['adx'] < params['sell-adx-value'])
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if 'sell-rsi-enabled' in params and params['sell-rsi-enabled']:
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conditions.append(dataframe['rsi'] > params['sell-rsi-value'])
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# TRIGGERS
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if 'sell-trigger' in params:
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if params['sell-trigger'] == 'sell-bb_lower':
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conditions.append(dataframe['close'] < dataframe['bb_lowerband'])
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if params['sell-trigger'] == 'sell-bb_upper':
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conditions.append(dataframe['close'] > dataframe['bb_upperband'])
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if params['sell-trigger'] == 'sell-macd_cross_signal':
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conditions.append(qtpylib.crossed_above(
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dataframe['macd'], dataframe['macdsignal']
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dataframe['macdsignal'], dataframe['macd']
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))
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if params['sell-trigger'] == 'sell-sar_reversal':
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conditions.append(qtpylib.crossed_above(
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dataframe['close'], dataframe['sar']
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dataframe['sar'], dataframe['close']
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))
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dataframe.loc[
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@ -159,7 +160,7 @@ class SampleHyperOpts(IHyperOpt):
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Categorical([True, False], name='sell-fastd-enabled'),
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Categorical([True, False], name='sell-adx-enabled'),
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Categorical([True, False], name='sell-rsi-enabled'),
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Categorical(['sell-bb_lower',
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Categorical(['sell-bb_upper',
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'sell-macd_cross_signal',
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'sell-sar_reversal'], name='sell-trigger')
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]
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@ -199,3 +200,36 @@ class SampleHyperOpts(IHyperOpt):
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Real(0.01, 0.07, name='roi_p2'),
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Real(0.01, 0.20, name='roi_p3'),
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]
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def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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"""
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Based on TA indicators. Should be a copy of from strategy
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must align to populate_indicators in this file
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Only used when --spaces does not include buy
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"""
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dataframe.loc[
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(
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(dataframe['close'] < dataframe['bb_lowerband']) &
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(dataframe['mfi'] < 16) &
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(dataframe['adx'] > 25) &
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(dataframe['rsi'] < 21)
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),
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'buy'] = 1
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return dataframe
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def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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"""
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Based on TA indicators. Should be a copy of from strategy
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must align to populate_indicators in this file
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Only used when --spaces does not include sell
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"""
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dataframe.loc[
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(
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(qtpylib.crossed_above(
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dataframe['macdsignal'], dataframe['macd']
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)) &
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(dataframe['fastd'] > 54)
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),
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'sell'] = 1
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return dataframe
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