Move enable option text to make better sense
This commit is contained in:
parent
ea7fb4e6e6
commit
933054a51c
@ -10,7 +10,15 @@ determine indicator values on the signal candle that resulted in a trade opening
|
||||
!!! Note
|
||||
The following buy reason analysis is only available for backtesting, *not hyperopt*.
|
||||
|
||||
We first need to enable the exporting of trades from backtesting:
|
||||
We first need to tell freqtrade to export the signal candles for each opened trade,
|
||||
so add the following option to your config file:
|
||||
|
||||
```
|
||||
'backtest_signal_candle_export_enable': true,
|
||||
```
|
||||
|
||||
We then need to run backtesting and include the `--export` option to enable the exporting of
|
||||
trades:
|
||||
|
||||
```bash
|
||||
freqtrade backtesting -c <config.json> --timeframe <tf> --strategy <strategy_name> --timerange=<timerange> --export=trades
|
||||
@ -20,13 +28,6 @@ To analyse the buy tags, we need to use the `buy_reasons.py` script from
|
||||
[froggleston's repo](https://github.com/froggleston/freqtrade-buyreasons). Follow the instructions
|
||||
in their README to copy the script into your `freqtrade/scripts/` folder.
|
||||
|
||||
We then need the signal candles for each opened trade so add the following option to your
|
||||
config file:
|
||||
|
||||
```
|
||||
'backtest_signal_candle_export_enable': true,
|
||||
```
|
||||
|
||||
This will tell freqtrade to output a pickled dictionary of strategy, pairs and corresponding
|
||||
DataFrame of the candles that resulted in buy signals. Depending on how many buys your strategy
|
||||
makes, this file may get quite large, so periodically check your `user_data/backtest_results`
|
||||
|
Loading…
Reference in New Issue
Block a user