more test fixes
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@ -40,6 +40,7 @@ class Hyperopt(Backtesting):
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hyperopt = Hyperopt(config)
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hyperopt.start()
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"""
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def __init__(self, config: Dict[str, Any]) -> None:
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super().__init__(config)
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# set TARGET_TRADES to suit your number concurrent trades so its realistic
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@ -75,7 +76,7 @@ class Hyperopt(Backtesting):
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return arg_dict
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@staticmethod
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def populate_indicators(dataframe: DataFrame, pair:str) -> DataFrame:
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def populate_indicators(dataframe: DataFrame, pair: str) -> DataFrame:
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dataframe['adx'] = ta.ADX(dataframe)
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macd = ta.MACD(dataframe)
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dataframe['macd'] = macd['macd']
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@ -228,6 +229,7 @@ class Hyperopt(Backtesting):
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"""
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Define the buy strategy parameters to be used by hyperopt
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"""
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def populate_buy_trend(dataframe: DataFrame) -> DataFrame:
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"""
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Buy strategy Hyperopt will build and use
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@ -360,7 +362,7 @@ class Hyperopt(Backtesting):
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logger.info(f'Found {cpus} CPU cores. Let\'s make them scream!')
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opt = self.get_optimizer(cpus)
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EVALS = max(self.total_tries//cpus, 1)
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EVALS = max(self.total_tries // cpus, 1)
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try:
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with Parallel(n_jobs=cpus) as parallel:
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for i in range(EVALS):
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@ -117,7 +117,7 @@ def test_log_results_if_loss_improves(init_hyperopt, capsys) -> None:
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}
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)
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out, err = capsys.readouterr()
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assert ' 1/2: foo. Loss 1.00000'in out
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assert ' 1/2: foo. Loss 1.00000' in out
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def test_no_log_if_loss_does_not_improve(init_hyperopt, caplog) -> None:
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@ -247,7 +247,7 @@ def test_populate_indicators(init_hyperopt) -> None:
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tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
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tickerlist = {'UNITTEST/BTC': tick}
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dataframes = _HYPEROPT.tickerdata_to_dataframe(tickerlist)
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dataframe = _HYPEROPT.populate_indicators(dataframes['UNITTEST/BTC'])
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dataframe = _HYPEROPT.populate_indicators(dataframes['UNITTEST/BTC'], 'UNITTEST/BTC')
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# Check if some indicators are generated. We will not test all of them
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assert 'adx' in dataframe
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@ -259,7 +259,7 @@ def test_buy_strategy_generator(init_hyperopt) -> None:
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tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
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tickerlist = {'UNITTEST/BTC': tick}
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dataframes = _HYPEROPT.tickerdata_to_dataframe(tickerlist)
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dataframe = _HYPEROPT.populate_indicators(dataframes['UNITTEST/BTC'])
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dataframe = _HYPEROPT.populate_indicators(dataframes['UNITTEST/BTC'], 'UNITTEST/BTC')
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populate_buy_trend = _HYPEROPT.buy_strategy_generator(
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{
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