line too long (98 > 88 characters)
1038 )
1039 metrics["Win Days %%"] = _stats.win_rate(df, prepare_returns=False) * pct
1040 metrics["Win Month %%"] = (
1041 _stats.win_rate(df, compounded=compounded, aggregate="M", prepare_returns=False) * pct1042 )
1043 metrics["Win Quarter %%"] = (
1044 _stats.win_rate(df, compounded=compounded, aggregate="Q", prepare_returns=False) * pct
line too long (97 > 88 characters)
1031 if mode.lower() == "full":
1032 metrics["~~~~~"] = blank
1033 metrics["Avg. Up Month %"] = (
1034 _stats.avg_win(df, compounded=compounded, aggregate="M", prepare_returns=False) * pct1035 )
1036 metrics["Avg. Down Month %"] = (
1037 _stats.avg_loss(df, compounded=compounded, aggregate="M", prepare_returns=False) * pct
line too long (98 > 88 characters)
1034 _stats.avg_win(df, compounded=compounded, aggregate="M", prepare_returns=False) * pct
1035 )
1036 metrics["Avg. Down Month %"] = (
1037 _stats.avg_loss(df, compounded=compounded, aggregate="M", prepare_returns=False) * pct1038 )
1039 metrics["Win Days %%"] = _stats.win_rate(df, prepare_returns=False) * pct
1040 metrics["Win Month %%"] = (
line too long (98 > 88 characters)
1041 _stats.win_rate(df, compounded=compounded, aggregate="M", prepare_returns=False) * pct
1042 )
1043 metrics["Win Quarter %%"] = (
1044 _stats.win_rate(df, compounded=compounded, aggregate="Q", prepare_returns=False) * pct1045 )
1046 metrics["Win Year %%"] = (
1047 _stats.win_rate(df, compounded=compounded, aggregate="A", prepare_returns=False) * pct
line too long (105 > 88 characters)
933 _stats.expected_return(df, compounded=compounded, prepare_returns=False) * pct
934 )
935 metrics["Expected Monthly %%"] = (
936 _stats.expected_return(df, compounded=compounded, aggregate="M", prepare_returns=False) * pct 937 )
938 metrics["Expected Yearly %%"] = (
939 _stats.expected_return(df, compounded=compounded, aggregate="A", prepare_returns=False) * pct
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1016 _stats.best(df, compounded=compounded, aggregate="A", prepare_returns=False) * pct
1017 )
1018 metrics["Worst Year %"] = (
1019 _stats.worst(df, compounded=compounded, aggregate="A", prepare_returns=False) * pct1020 )
1021
1022 # dd
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1044 _stats.win_rate(df, compounded=compounded, aggregate="Q", prepare_returns=False) * pct
1045 )
1046 metrics["Win Year %%"] = (
1047 _stats.win_rate(df, compounded=compounded, aggregate="A", prepare_returns=False) * pct1048 )
1049
1050 if "benchmark" in df:
line too long (94 > 88 characters)
1013 _stats.worst(df, aggregate="M", prepare_returns=False) * pct
1014 )
1015 metrics["Best Year %"] = (
1016 _stats.best(df, compounded=compounded, aggregate="A", prepare_returns=False) * pct1017 )
1018 metrics["Worst Year %"] = (
1019 _stats.worst(df, compounded=compounded, aggregate="A", prepare_returns=False) * pct
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930 metrics["~~~~~~~~~~"] = blank
931
932 metrics["Expected Daily %%"] = (
933 _stats.expected_return(df, compounded=compounded, prepare_returns=False) * pct 934 )
935 metrics["Expected Monthly %%"] = (
936 _stats.expected_return(df, compounded=compounded, aggregate="M", prepare_returns=False) * pct
line too long (105 > 88 characters)
936 _stats.expected_return(df, compounded=compounded, aggregate="M", prepare_returns=False) * pct
937 )
938 metrics["Expected Yearly %%"] = (
939 _stats.expected_return(df, compounded=compounded, aggregate="A", prepare_returns=False) * pct 940 )
941 metrics["Kelly Criterion %"] = (
942 _stats.kelly_criterion(df, prepare_returns=False) * pct
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1004 # best/worst
1005 if mode.lower() == "full":
1006 metrics["~~~"] = blank
1007 metrics["Best Day %"] = _stats.best(df, compounded=compounded, prepare_returns=False) * pct1008 metrics["Worst Day %"] = _stats.worst(df, prepare_returns=False) * pct
1009 metrics["Best Month %"] = (
1010 _stats.best(df, compounded=compounded, aggregate="M", prepare_returns=False) * pct
line too long (94 > 88 characters)
1007 metrics["Best Day %"] = _stats.best(df, compounded=compounded, prepare_returns=False) * pct
1008 metrics["Worst Day %"] = _stats.worst(df, prepare_returns=False) * pct
1009 metrics["Best Month %"] = (
1010 _stats.best(df, compounded=compounded, aggregate="M", prepare_returns=False) * pct1011 )
1012 metrics["Worst Month %"] = (
1013 _stats.worst(df, aggregate="M", prepare_returns=False) * pct
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104 _plt.figtext(
105 0,
106 -0.05,
107 " * When a multi-column DataFrame is passed, the mean of all columns will be used as returns.\n" 108 " To change this behavior, use a pandas Series or pass the column name in the `strategy_col` parameter.",
109 ha="left",
110 fontsize=11,
line too long (130 > 88 characters)
105 0,
106 -0.05,
107 " * When a multi-column DataFrame is passed, the mean of all columns will be used as returns.\n"
108 " To change this behavior, use a pandas Series or pass the column name in the `strategy_col` parameter.", 109 ha="left",
110 fontsize=11,
111 color="black",
Description
Line length greater than configured max_line_length
detected, defaults to 79 character. This limit can be configured docs