flake8 fix
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@ -219,6 +219,7 @@ def calculate_expectancy(trades: pd.DataFrame) -> float:
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return expectancy
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def calculate_sortino(trades: pd.DataFrame,
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min_date: datetime, max_date: datetime) -> float:
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"""
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@ -226,7 +227,7 @@ def calculate_sortino(trades: pd.DataFrame,
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:param trades: DataFrame containing trades (requires columns profit_ratio)
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:return: sortino
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"""
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if (len(trades) == 0) or (min_date == None) or (max_date == None) or (min_date == max_date):
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if (len(trades) == 0) or (min_date is None) or (max_date is None) or (min_date == max_date):
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return 0
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total_profit = trades["profit_ratio"]
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@ -252,14 +253,15 @@ def calculate_sortino(trades: pd.DataFrame,
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# print(expected_returns_mean, down_stdev, sortino_ratio)
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return sortino_ratio
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def calculate_sharpe(trades: pd.DataFrame,
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min_date: datetime, max_date: datetime) -> float:
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min_date: datetime, max_date: datetime) -> float:
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"""
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Calculate sharpe
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:param trades: DataFrame containing trades (requires columns close_date and profit_ratio)
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:return: sharpe
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"""
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if (len(trades) == 0) or (min_date == None) or (max_date == None) or (min_date == max_date):
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if (len(trades) == 0) or (min_date is None) or (max_date is None) or (min_date == max_date):
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return 0
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total_profit = trades["profit_ratio"]
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@ -282,14 +284,15 @@ def calculate_sharpe(trades: pd.DataFrame,
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# print(expected_returns_mean, up_stdev, sharp_ratio)
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return sharp_ratio
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def calculate_calmar(trades: pd.DataFrame,
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min_date: datetime, max_date: datetime) -> float:
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min_date: datetime, max_date: datetime) -> float:
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"""
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Calculate calmar
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:param trades: DataFrame containing trades (requires columns close_date and profit_ratio)
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:return: calmar
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"""
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if (len(trades) == 0) or (min_date == None) or (max_date == None) or (min_date == max_date):
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if (len(trades) == 0) or (min_date is None) or (max_date is None) or (min_date == max_date):
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return 0
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total_profit = trades["profit_ratio"]
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