Add a new analysis group to output stats grouped by exit_tag
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@ -32,7 +32,7 @@ To analyze the entry/exit tags, we now need to use the `freqtrade backtesting-an
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with `--analysis-groups` option provided with space-separated arguments (default `0 1 2`):
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``` bash
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freqtrade backtesting-analysis -c <config.json> --analysis-groups 0 1 2 3 4
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freqtrade backtesting-analysis -c <config.json> --analysis-groups 0 1 2 3 4 5
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```
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This command will read from the last backtesting results. The `--analysis-groups` option is
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@ -43,6 +43,7 @@ ranging from the simplest (0) to the most detailed per pair, per buy and per sel
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* 2: profit summaries grouped by enter_tag and exit_tag
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* 3: profit summaries grouped by pair and enter_tag
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* 4: profit summaries grouped by pair, enter_ and exit_tag (this can get quite large)
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* 5: profit summaries grouped by exit_tag
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More options are available by running with the `-h` option.
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@ -632,10 +632,11 @@ AVAILABLE_CLI_OPTIONS = {
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"1: by enter_tag, "
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"2: by enter_tag and exit_tag, "
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"3: by pair and enter_tag, "
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"4: by pair, enter_ and exit_tag (this can get quite large)"),
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"4: by pair, enter_ and exit_tag (this can get quite large), "
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"5: by exit_tag"),
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nargs='+',
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default=['0', '1', '2'],
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choices=['0', '1', '2', '3', '4'],
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choices=['0', '1', '2', '3', '4', '5'],
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),
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"enter_reason_list": Arg(
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"--enter-reason-list",
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@ -141,6 +141,12 @@ def _do_group_table_output(bigdf, glist):
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# 4: profit summaries grouped by pair, enter_ and exit_tag (this can get quite large)
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if g == "4":
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group_mask = ['pair', 'enter_reason', 'exit_reason']
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# 5: profit summaries grouped by exit_tag
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if g == "5":
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group_mask = ['exit_reason']
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sortcols = ['exit_reason']
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if group_mask:
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new = bigdf.groupby(group_mask).agg(agg_mask).reset_index()
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new.columns = group_mask + agg_cols
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@ -190,6 +190,15 @@ def test_backtest_analysis_nomock(default_conf, mocker, caplog, testdatadir, tmp
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assert '1' in captured.out
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assert '2.5' in captured.out
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# test group 5
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args = get_args(base_args + ['--analysis-groups', "5"])
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start_analysis_entries_exits(args)
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captured = capsys.readouterr()
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assert 'exit_signal' in captured.out
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assert 'roi' in captured.out
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assert 'stop_loss' in captured.out
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assert 'trailing_stop_loss' in captured.out
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# test date filtering
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args = get_args(base_args + ['--timerange', "20180129-20180130"])
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start_analysis_entries_exits(args)
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