add 2 tests cases with same profit
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@ -44,6 +44,29 @@ def hyperopt_results():
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}
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)
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@pytest.fixture(scope='function')
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def hyperopt_results_min_median_drawdown():
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return pd.DataFrame(
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{
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'pair': ['ETH/BTC', 'ETH/BTC', 'ETH/BTC', 'ETH/BTC', 'ETH/BTC'],
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'profit_percent': [0.1, 0.1, -0.1, 0.1, 0.1],
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'profit_abs': [0.2, 0.2, -0.2, 0.2, 0.2],
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'trade_duration': [10, 30, 10, 30, 10],
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'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS,SellType.ROI, SellType.ROI]
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}
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)
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@pytest.fixture(scope='function')
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def hyperopt_results_max_median_drawdown():
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return pd.DataFrame(
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{
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'pair': ['ETH/BTC', 'ETH/BTC', 'ETH/BTC', 'ETH/BTC', 'ETH/BTC'],
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'profit_percent': [0.3, -0.1, -0.1, -0.1, 0.3],
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'profit_abs': [0.6, -0.2, -0.2, -0.2, 0.6],
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'trade_duration': [10, 30, 10, 30, 10],
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'sell_reason': [SellType.ROI, SellType.STOP_LOSS, SellType.STOP_LOSS,SellType.STOP_LOSS, SellType.ROI]
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}
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)
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# Functions for recurrent object patching
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def create_trials(mocker, hyperopt, testdatadir) -> None:
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