Move enable option text to make better sense

This commit is contained in:
froggleston 2022-04-20 13:54:50 +01:00
parent ea7fb4e6e6
commit 933054a51c

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@ -10,7 +10,15 @@ determine indicator values on the signal candle that resulted in a trade opening
!!! Note !!! Note
The following buy reason analysis is only available for backtesting, *not hyperopt*. 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 ```bash
freqtrade backtesting -c <config.json> --timeframe <tf> --strategy <strategy_name> --timerange=<timerange> --export=trades 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 [froggleston's repo](https://github.com/froggleston/freqtrade-buyreasons). Follow the instructions
in their README to copy the script into your `freqtrade/scripts/` folder. 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 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 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` makes, this file may get quite large, so periodically check your `user_data/backtest_results`