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Add consecutive wins/losses to backtest output
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@@ -324,6 +324,7 @@ A backtesting result will look like that:
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| Days win/draw/lose | 12 / 82 / 25 |
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| Avg. Duration Winners | 4:23:00 |
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| Avg. Duration Loser | 6:55:00 |
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| Max Consecutive Wins / Loss | 3 / 4 |
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| Rejected Entry signals | 3089 |
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| Entry/Exit Timeouts | 0 / 0 |
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| Canceled Trade Entries | 34 |
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@@ -428,6 +429,7 @@ It contains some useful key metrics about performance of your strategy on backte
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| Days win/draw/lose | 12 / 82 / 25 |
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| Avg. Duration Winners | 4:23:00 |
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| Avg. Duration Loser | 6:55:00 |
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| Max Consecutive Wins / Loss | 3 / 4 |
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| Rejected Entry signals | 3089 |
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| Entry/Exit Timeouts | 0 / 0 |
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| Canceled Trade Entries | 34 |
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@@ -467,6 +469,7 @@ It contains some useful key metrics about performance of your strategy on backte
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- `Best day` / `Worst day`: Best and worst day based on daily profit.
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- `Days win/draw/lose`: Winning / Losing days (draws are usually days without closed trade).
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- `Avg. Duration Winners` / `Avg. Duration Loser`: Average durations for winning and losing trades.
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- `Max Consecutive Wins / Loss`: Maximum consecutive wins/losses in a row.
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- `Rejected Entry signals`: Trade entry signals that could not be acted upon due to `max_open_trades` being reached.
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- `Entry/Exit Timeouts`: Entry/exit orders which did not fill (only applicable if custom pricing is used).
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- `Canceled Trade Entries`: Number of trades that have been canceled by user request via `adjust_entry_price`.
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