docs: --datadir documentation
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@ -46,6 +46,11 @@ python3 ./freqtrade/main.py backtesting --realistic-simulation --refresh-pairs-c
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python3 ./freqtrade/main.py backtesting --realistic-simulation --live
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python3 ./freqtrade/main.py backtesting --realistic-simulation --live
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```
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```
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**Using a different on-disk ticker-data source**
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```bash
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python3 ./freqtrade/main.py backtesting --datadir freqtrade/tests/testdata-20180101
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```
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For help about backtesting usage, please refer to
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For help about backtesting usage, please refer to
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[Backtesting commands](#backtesting-commands).
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[Backtesting commands](#backtesting-commands).
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@ -101,4 +106,4 @@ strategies, your configuration, and the crypto-currency you have set up.
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## Next step
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## Next step
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Great, your strategy is profitable. What if the bot can give your the
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Great, your strategy is profitable. What if the bot can give your the
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optimal parameters to use for your strategy?
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optimal parameters to use for your strategy?
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Your next step is to learn [how to find optimal parameters with Hyperopt](https://github.com/gcarq/freqtrade/blob/develop/docs/hyperopt.md)
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Your next step is to learn [how to find optimal parameters with Hyperopt](https://github.com/gcarq/freqtrade/blob/develop/docs/hyperopt.md)
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@ -26,6 +26,9 @@ optional arguments:
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specify configuration file (default: config.json)
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specify configuration file (default: config.json)
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-v, --verbose be verbose
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-v, --verbose be verbose
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--version show program's version number and exit
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--version show program's version number and exit
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-dd PATH, --datadir PATH
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Path is from where backtesting and hyperopt will load the
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ticker data files (default freqdata/tests/testdata).
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--dynamic-whitelist [INT]
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--dynamic-whitelist [INT]
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dynamically generate and update whitelist based on 24h
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dynamically generate and update whitelist based on 24h
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BaseVolume (Default 20 currencies)
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BaseVolume (Default 20 currencies)
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@ -133,4 +136,4 @@ in [misc.py](https://github.com/gcarq/freqtrade/blob/develop/freqtrade/misc.py#L
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## Next step
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## Next step
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The optimal strategy of the bot will change with time depending of the
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The optimal strategy of the bot will change with time depending of the
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market trends. The next step is to
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market trends. The next step is to
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[optimize your bot](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-optimization.md).
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[optimize your bot](https://github.com/gcarq/freqtrade/blob/develop/docs/bot-optimization.md).
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@ -163,6 +163,11 @@ We strongly recommend to use `screen` to prevent any connection loss.
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python3 ./freqtrade/main.py -c config.json hyperopt
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python3 ./freqtrade/main.py -c config.json hyperopt
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```
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```
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### Execute hyperopt with different ticker-data source
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If you would like to learn parameters using an alternate ticke-data that
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you have on-disk, use the --datadir PATH option. Default hyperopt will
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use data from directory freqtrade/tests/testdata.
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### Hyperopt with MongoDB
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### Hyperopt with MongoDB
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Hyperopt with MongoDB, is like Hyperopt under steroids. As you saw by
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Hyperopt with MongoDB, is like Hyperopt under steroids. As you saw by
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executing the previous command is the execution takes a long time.
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executing the previous command is the execution takes a long time.
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