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