mirror of
https://github.com/freqtrade/freqtrade.git
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136 lines
4.6 KiB
Markdown
136 lines
4.6 KiB
Markdown
# Bot usage
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This page explains the difference parameters of the bot and how to run
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it.
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## Table of Contents
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- [Bot commands](#bot-commands)
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- [Backtesting commands](#backtesting-commands)
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- [Hyperopt commands](#hyperopt-commands)
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## Bot commands
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```
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usage: main.py [-h] [-c PATH] [-v] [--version] [--dynamic-whitelist [INT]]
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[--dry-run-db]
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{backtesting,hyperopt} ...
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Simple High Frequency Trading Bot for crypto currencies
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positional arguments:
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{backtesting,hyperopt}
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backtesting backtesting module
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hyperopt hyperopt module
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optional arguments:
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-h, --help show this help message and exit
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-c PATH, --config PATH
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specify configuration file (default: config.json)
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-v, --verbose be verbose
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--version show program's version number and exit
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--dynamic-whitelist [INT]
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dynamically generate and update whitelist based on 24h
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BaseVolume (Default 20 currencies)
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--dry-run-db Force dry run to use a local DB
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"tradesv3.dry_run.sqlite" instead of memory DB. Work
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only if dry_run is enabled.
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```
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### How to use a different config file?
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The bot allows you to select which config file you want to use. Per
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default, the bot will load the file `./config.json`
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```bash
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python3 ./freqtrade/main.py -c path/far/far/away/config.json
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```
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### How to use --dynamic-whitelist?
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Per default `--dynamic-whitelist` will retrieve the 20 currencies based
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on BaseVolume. This value can be changed when you run the script.
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**By Default**
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Get the 20 currencies based on BaseVolume.
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```bash
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python3 ./freqtrade/main.py --dynamic-whitelist
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```
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**Customize the number of currencies to retrieve**
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Get the 30 currencies based on BaseVolume.
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```bash
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python3 ./freqtrade/main.py --dynamic-whitelist 30
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```
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**Exception**
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`--dynamic-whitelist` must be greater than 0. If you enter 0 or a
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negative value (e.g -2), `--dynamic-whitelist` will use the default
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value (20).
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### How to use --dry-run-db?
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When you run the bot in Dry-run mode, per default no transactions are
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stored in a database. If you want to store your bot actions in a DB
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using `--dry-run-db`. This command will use a separate database file
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`tradesv3.dry_run.sqlite`
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```bash
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python3 ./freqtrade/main.py -c config.json --dry-run-db
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```
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## Backtesting commands
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Backtesting also uses the config specified via `-c/--config`.
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```
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usage: freqtrade backtesting [-h] [-l] [-i INT] [--realistic-simulation]
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[-r]
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optional arguments:
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-h, --help show this help message and exit
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-l, --live using live data
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-i INT, --ticker-interval INT
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specify ticker interval in minutes (default: 5)
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--realistic-simulation
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uses max_open_trades from config to simulate real
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world limitations
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-r, --refresh-pairs-cached
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refresh the pairs files in tests/testdata with
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the latest data from Bittrex. Use it if you want
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to run your backtesting with up-to-date data.
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```
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### How to use --refresh-pairs-cached parameter?
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The first time your run Backtesting, it will take the pairs you have
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set in your config file and download data from Bittrex.
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If for any reason you want to update your data set, you use
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`--refresh-pairs-cached` to force Backtesting to update the data it has.
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**Use it only if you want to update your data set. You will not be able
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to come back to the previous version.**
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To test your strategy with latest data, we recommend continuing using
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the parameter `-l` or `--live`.
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## Hyperopt commands
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It is possible to use hyperopt for trading strategy optimization.
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Hyperopt uses an internal json config return by `hyperopt_optimize_conf()`
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located in `freqtrade/optimize/hyperopt_conf.py`.
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```
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usage: freqtrade hyperopt [-h] [-e INT] [--use-mongodb]
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optional arguments:
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-h, --help show this help message and exit
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-e INT, --epochs INT specify number of epochs (default: 100)
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--use-mongodb parallelize evaluations with mongodb (requires mongod
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in PATH)
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```
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## A parameter missing in the configuration?
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All parameters for `main.py`, `backtesting`, `hyperopt` are referenced
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in [misc.py](https://github.com/gcarq/freqtrade/blob/develop/freqtrade/misc.py#L84)
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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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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). |