Add Max_open_trades to summary metrics
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@ -162,6 +162,8 @@ A backtesting result will look like that:
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| Backtesting from | 2019-01-01 00:00:00 |
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| Backtesting to | 2019-05-01 00:00:00 |
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| Max open trades | 3 |
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| | |
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| Total trades | 429 |
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| First trade | 2019-01-01 18:30:00 |
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| First trade Pair | EOS/USDT |
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@ -233,6 +235,8 @@ It contains some useful key metrics about performance of your strategy on backte
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|-----------------------+---------------------|
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| Backtesting from | 2019-01-01 00:00:00 |
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| Backtesting to | 2019-05-01 00:00:00 |
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| Max open trades | 3 |
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| | |
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| Total trades | 429 |
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| First trade | 2019-01-01 18:30:00 |
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| First trade Pair | EOS/USDT |
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@ -251,16 +255,17 @@ It contains some useful key metrics about performance of your strategy on backte
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```
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- `Backtesting from` / `Backtesting to`: Backtesting range (usually defined with the `--timerange` option).
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- `Max open trades`: Setting of `max_open_trades` (or `--max-open-trades`) - to clearly see settings for this.
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- `Total trades`: Identical to the total trades of the backtest output table.
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- `First trade`: First trade entered.
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- `First trade pair`: Which pair was part of the first trade.
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- `Backtesting from` / `Backtesting to`: Backtesting range (usually defined with the `--timerange` option).
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- `Total Profit %`: Total profit per stake amount. Aligned to the TOTAL column of the first table.
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- `Trades per day`: Total trades divided by the backtesting duration in days (this will give you information about how many trades to expect from the strategy).
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- `Best day` / `Worst day`: Best and worst day based on daily profit.
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- `Avg. Duration Winners` / `Avg. Duration Loser`: Average durations for winning and losing trades.
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- `Max Drawdown`: Maximum drawdown experienced. For example, the value of 50% means that from highest to subsequent lowest point, a 50% drop was experienced).
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- `Drawdown Start` / `Drawdown End`: Start and end datetimes for this largest drawdown (can also be visualized via the `plot-dataframe` sub-command).
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- `Drawdown Start` / `Drawdown End`: Start and end datetime for this largest drawdown (can also be visualized via the `plot-dataframe` sub-command).
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- `Market change`: Change of the market during the backtest period. Calculated as average of all pairs changes from the first to the last candle using the "close" column.
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### Assumptions made by backtesting
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@ -396,6 +396,8 @@ def text_table_add_metrics(strat_results: Dict) -> str:
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metrics = [
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('Backtesting from', strat_results['backtest_start'].strftime(DATETIME_PRINT_FORMAT)),
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('Backtesting to', strat_results['backtest_end'].strftime(DATETIME_PRINT_FORMAT)),
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('Max open trades', strat_results['max_open_trades']),
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('', ''), # Empty line to improve readability
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('Total trades', strat_results['total_trades']),
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('First trade', min_trade['open_date'].strftime(DATETIME_PRINT_FORMAT)),
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('First trade Pair', min_trade['pair']),
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