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Revert docs to buy_reasons script version

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froggleston 2022-04-20 13:51:45 +01:00
parent b3cb722646
commit ea7fb4e6e6
1 changed files with 10 additions and 6 deletions
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docs/advanced-backtesting.md
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@ -13,11 +13,15 @@ determine indicator values on the signal candle that resulted in a trade opening
We first need to enable the exporting of trades from backtesting: We first need to enable the exporting of trades from backtesting:
```bash ```bash
freqtrade backtesting -c <config.json> --timeframe <tf> --strategy <strategy_name> --timerange=<timerange> --export=trades --export-filename=user_data/backtest_results/<name>-<timerange> freqtrade backtesting -c <config.json> --timeframe <tf> --strategy <strategy_name> --timerange=<timerange> --export=trades
``` ```
To analyse the buy tags, we need to use the `freqtrade tag-analysis` command. We need the signal To analyse the buy tags, we need to use the `buy_reasons.py` script from
candles for each opened trade so add the following option to your config file: [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, 'backtest_signal_candle_export_enable': true,
@ -37,7 +41,7 @@ If all goes well, you should now see a `backtest-result-{timestamp}_signals.pkl`
Now run the buy_reasons.py script, supplying a few options: Now run the buy_reasons.py script, supplying a few options:
```bash ```bash
freqtrade tag-analysis -c <config.json> -s <strategy_name> -t <timerange> -g0,1,2,3,4 python3 scripts/buy_reasons.py -c <config.json> -s <strategy_name> -t <timerange> -g0,1,2,3,4
``` ```
The `-g` option is used to specify the various tabular outputs, ranging from the simplest (0) The `-g` option is used to specify the various tabular outputs, ranging from the simplest (0)
@ -56,7 +60,7 @@ To show only certain buy and sell tags in the displayed output, use the followin
For example: For example:
```bash ```bash
freqtrade tag-analysis -c <config.json> -s <strategy_name> -t <timerange> -g0,1,2,3,4 --buy_reason_list "buy_tag_a,buy_tag_b" --sell_reason_list "roi,custom_sell_tag_a,stop_loss" python3 scripts/buy_reasons.py -c <config.json> -s <strategy_name> -t <timerange> -g0,1,2,3,4 --buy_reason_list "buy_tag_a,buy_tag_b" --sell_reason_list "roi,custom_sell_tag_a,stop_loss"
``` ```
### Outputting signal candle indicators ### Outputting signal candle indicators
@ -67,7 +71,7 @@ indicators. To print out a column for a given set of indicators, use the `--indi
option: option:
```bash ```bash
freqtrade tag-analysis -c <config.json> -s <strategy_name> -t <timerange> -g0,1,2,3,4 --buy_reason_list "buy_tag_a,buy_tag_b" --sell_reason_list "roi,custom_sell_tag_a,stop_loss" --indicator_list "rsi,rsi_1h,bb_lowerband,ema_9,macd,macdsignal" python3 scripts/buy_reasons.py -c <config.json> -s <strategy_name> -t <timerange> -g0,1,2,3,4 --buy_reason_list "buy_tag_a,buy_tag_b" --sell_reason_list "roi,custom_sell_tag_a,stop_loss" --indicator_list "rsi,rsi_1h,bb_lowerband,ema_9,macd,macdsignal"
``` ```
The indicators have to be present in your strategy's main DataFrame (either for your main The indicators have to be present in your strategy's main DataFrame (either for your main