Merge branch 'feat/short' into short_buy_tag_compat
This commit is contained in:
@@ -371,42 +371,48 @@ The last element of the backtest report is the summary metrics table.
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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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| Metric | Value |
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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/Daily Avg Trades| 429 / 3.575 |
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| Starting balance | 0.01000000 BTC |
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| Final balance | 0.01762792 BTC |
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| Absolute profit | 0.00762792 BTC |
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| Total profit % | 76.2% |
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| Avg. stake amount | 0.001 BTC |
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| Total trade volume | 0.429 BTC |
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| | |
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| Best Pair | LSK/BTC 26.26% |
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| Worst Pair | ZEC/BTC -10.18% |
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| Best Trade | LSK/BTC 4.25% |
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| Worst Trade | ZEC/BTC -10.25% |
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| Best day | 0.00076 BTC |
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| Worst day | -0.00036 BTC |
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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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| Rejected Buy signals | 3089 |
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| | |
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| Min balance | 0.00945123 BTC |
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| Max balance | 0.01846651 BTC |
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| Drawdown | 50.63% |
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| Drawdown | 0.0015 BTC |
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| Drawdown high | 0.0013 BTC |
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| Drawdown low | -0.0002 BTC |
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| Drawdown Start | 2019-02-15 14:10:00 |
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| Drawdown End | 2019-04-11 18:15:00 |
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| Market change | -5.88% |
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===============================================
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================ SUMMARY METRICS ===============
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| Metric | Value |
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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/Daily Avg Trades | 429 / 3.575 |
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| Starting balance | 0.01000000 BTC |
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| Final balance | 0.01762792 BTC |
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| Absolute profit | 0.00762792 BTC |
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| Total profit % | 76.2% |
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| Avg. stake amount | 0.001 BTC |
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| Total trade volume | 0.429 BTC |
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| | |
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| Long / Short | 352 / 77 |
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| Total profit Long % | 1250.58% |
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| Total profit Short % | -15.02% |
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| Absolute profit Long | 0.00838792 BTC |
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| Absolute profit Short | -0.00076 BTC |
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| | |
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| Best Pair | LSK/BTC 26.26% |
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| Worst Pair | ZEC/BTC -10.18% |
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| Best Trade | LSK/BTC 4.25% |
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| Worst Trade | ZEC/BTC -10.25% |
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| Best day | 0.00076 BTC |
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| Worst day | -0.00036 BTC |
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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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| Rejected Buy signals | 3089 |
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| | |
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| Min balance | 0.00945123 BTC |
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| Max balance | 0.01846651 BTC |
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| Drawdown | 50.63% |
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| Drawdown | 0.0015 BTC |
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| Drawdown high | 0.0013 BTC |
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| Drawdown low | -0.0002 BTC |
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| Drawdown Start | 2019-02-15 14:10:00 |
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| Drawdown End | 2019-04-11 18:15:00 |
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| Market change | -5.88% |
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================================================
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```
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@@ -430,6 +436,9 @@ It contains some useful key metrics about performance of your strategy on backte
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- `Drawdown high` / `Drawdown low`: Profit at the beginning and end of the largest drawdown period. A negative low value means initial capital lost.
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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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- `Long / Short`: Split long/short values (Only shown when short trades were made).
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- `Total profit Long %` / `Absolute profit Long`: Profit long trades only (Only shown when short trades were made).
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- `Total profit Short %` / `Absolute profit Short`: Profit short trades only (Only shown when short trades were made).
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### Daily / Weekly / Monthly breakdown
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@@ -43,6 +43,7 @@ By default, loop runs every few seconds (`internals.process_throttle_secs`) and
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* Determine buy-price based on `bid_strategy` configuration setting, or by using the `custom_entry_price()` callback.
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* Determine stake size by calling the `custom_stake_amount()` callback.
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* Before a buy order is placed, `confirm_trade_entry()` strategy callback is called.
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* In Margin and Futures mode, `leverage()` strategy callback is called to determine the desired leverage.
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This loop will be repeated again and again until the bot is stopped.
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