Apply documentation suggestions from code review
Co-authored-by: hroff-1902 <47309513+hroff-1902@users.noreply.github.com>
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@ -210,18 +210,18 @@ Hence, keep in mind that your performance is an integral mix of all different el
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### Sell reasons table
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The 2nd table contains a recap of sell reasons.
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This table can tell you which area needs some additional work (i.e. all `sell_signal` trades are losses, so we should disable the sell-signal or work on improving that).
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This table can tell you which area needs some additional work (e,g. all or many of the `sell_signal` trades are losses, so we should disable the sell-signal or work on improving that).
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### Left open trades table
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The 3rd table contains all trades the bot had to `forcesell` at the end of the backtest period to present a full picture.
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The 3rd table contains all trades the bot had to `forcesell` at the end of the backtesting period to present you the full picture.
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This is necessary to simulate realistic behaviour, since the backtest period has to end at some point, while realistically, you could leave the bot running forever.
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These trades are also included in the first table, but are extracted separately for clarity.
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These trades are also included in the first table, but are also shown separately in this table for clarity.
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### Summary metrics
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The last element of the backtest report is the summary metrics table.
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It contains some useful key metrics about your strategy.
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It contains some useful key metrics about performance of your strategy on backtesting data.
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```
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=============== SUMMARY METRICS ===============
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@ -250,12 +250,12 @@ It contains some useful key metrics about your strategy.
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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 as `--timerange from-to`).
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- `Trades per day`: Total trades / Backtest duration (this will give you information about how many trades to expect from the strategy).
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- `Backtesting from` / `Backtesting to`: Backtesting range (usually defined with the `--timerange` option).
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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 drawown experienced. a value of 50% means that from highest to subsequent lowest point, a 50% drop was experiened).
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- `Drawdown Start` / `Drawdown End`: From when to when was this large drawdown (can also be visualized via `plot-dataframe` subcommand).
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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` subcommand).
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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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