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docs: --datadir documentation

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kryofly 2018-01-07 10:15:26 +01:00
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7
docs/backtesting.md
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@ -46,6 +46,11 @@ python3 ./freqtrade/main.py backtesting --realistic-simulation --refresh-pairs-c
python3 ./freqtrade/main.py backtesting --realistic-simulation --live python3 ./freqtrade/main.py backtesting --realistic-simulation --live
``` ```
**Using a different on-disk ticker-data source**
```bash
python3 ./freqtrade/main.py backtesting --datadir freqtrade/tests/testdata-20180101
```
For help about backtesting usage, please refer to For help about backtesting usage, please refer to
[Backtesting commands](#backtesting-commands). [Backtesting commands](#backtesting-commands).
@ -101,4 +106,4 @@ strategies, your configuration, and the crypto-currency you have set up.
## Next step ## Next step
Great, your strategy is profitable. What if the bot can give your the Great, your strategy is profitable. What if the bot can give your the
optimal parameters to use for your strategy? optimal parameters to use for your strategy?
Your next step is to learn [how to find optimal parameters with Hyperopt](https://github.com/gcarq/freqtrade/blob/develop/docs/hyperopt.md) Your next step is to learn [how to find optimal parameters with Hyperopt](https://github.com/gcarq/freqtrade/blob/develop/docs/hyperopt.md)

5
docs/bot-usage.md
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@ -26,6 +26,9 @@ optional arguments:
specify configuration file (default: config.json) specify configuration file (default: config.json)
-v, --verbose be verbose -v, --verbose be verbose
--version show program's version number and exit --version show program's version number and exit
-dd PATH, --datadir PATH
Path is from where backtesting and hyperopt will load the
ticker data files (default freqdata/tests/testdata).
--dynamic-whitelist [INT] --dynamic-whitelist [INT]
dynamically generate and update whitelist based on 24h dynamically generate and update whitelist based on 24h
BaseVolume (Default 20 currencies) BaseVolume (Default 20 currencies)
@ -133,4 +136,4 @@ in [misc.py](https://github.com/gcarq/freqtrade/blob/develop/freqtrade/misc.py#L
## Next step ## Next step
The optimal strategy of the bot will change with time depending of the The optimal strategy of the bot will change with time depending of the
market trends. The next step is to market trends. The next step is to
[optimize your bot](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-optimization.md). [optimize your bot](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-optimization.md).

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docs/hyperopt.md
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@ -163,6 +163,11 @@ We strongly recommend to use `screen` to prevent any connection loss.
python3 ./freqtrade/main.py -c config.json hyperopt python3 ./freqtrade/main.py -c config.json hyperopt
``` ```
### Execute hyperopt with different ticker-data source
If you would like to learn parameters using an alternate ticke-data that
you have on-disk, use the --datadir PATH option. Default hyperopt will
use data from directory freqtrade/tests/testdata.
### Hyperopt with MongoDB ### Hyperopt with MongoDB
Hyperopt with MongoDB, is like Hyperopt under steroids. As you saw by Hyperopt with MongoDB, is like Hyperopt under steroids. As you saw by
executing the previous command is the execution takes a long time. executing the previous command is the execution takes a long time.