304 lines
13 KiB
Markdown
304 lines
13 KiB
Markdown
# Start the bot
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This page explains the different parameters of the bot and how to run it.
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!Note:
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If you've used `setup.sh`, don't forget to activate your virtual environment (`source .env/bin/activate`) before running freqtrade commands.
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## Bot commands
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```
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usage: freqtrade [-h] [-v] [--logfile FILE] [--version] [-c PATH] [-d PATH]
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[-s NAME] [--strategy-path PATH] [--db-url PATH]
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[--sd-notify]
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{backtesting,edge,hyperopt} ...
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Free, open source crypto trading bot
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positional arguments:
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{backtesting,edge,hyperopt}
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backtesting Backtesting module.
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edge Edge 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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-v, --verbose Verbose mode (-vv for more, -vvv to get all messages).
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--logfile FILE Log to the file specified
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-V, --version show program's version number and exit
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-c PATH, --config PATH
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Specify configuration file (default: None). Multiple
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--config options may be used. Can be set to '-' to
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read config from stdin.
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-d PATH, --datadir PATH
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Path to backtest data.
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-s NAME, --strategy NAME
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Specify strategy class name (default:
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DefaultStrategy).
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--strategy-path PATH Specify additional strategy lookup path.
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--db-url PATH Override trades database URL, this is useful if
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dry_run is enabled or in custom deployments (default:
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None).
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--sd-notify Notify systemd service manager.
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```
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### How to use a different configuration file?
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The bot allows you to select which configuration 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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freqtrade -c path/far/far/away/config.json
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```
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### How to use multiple configuration files?
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The bot allows you to use multiple configuration files by specifying multiple
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`-c/--config` configuration options in the command line. Configuration parameters
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defined in the last configuration file override parameters with the same name
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defined in the previous configuration file specified in the command line.
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For example, you can make a separate configuration file with your key and secrete
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for the Exchange you use for trading, specify default configuration file with
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empty key and secrete values while running in the Dry Mode (which does not actually
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require them):
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```bash
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freqtrade -c ./config.json
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```
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and specify both configuration files when running in the normal Live Trade Mode:
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```bash
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freqtrade -c ./config.json -c path/to/secrets/keys.config.json
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```
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This could help you hide your private Exchange key and Exchange secrete on you local machine
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by setting appropriate file permissions for the file which contains actual secrets and, additionally,
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prevent unintended disclosure of sensitive private data when you publish examples
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of your configuration in the project issues or in the Internet.
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See more details on this technique with examples in the documentation page on
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[configuration](configuration.md).
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### How to use **--strategy**?
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This parameter will allow you to load your custom strategy class.
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Per default without `--strategy` or `-s` the bot will load the
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`DefaultStrategy` included with the bot (`freqtrade/strategy/default_strategy.py`).
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The bot will search your strategy file within `user_data/strategies` and `freqtrade/strategy`.
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To load a strategy, simply pass the class name (e.g.: `CustomStrategy`) in this parameter.
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**Example:**
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In `user_data/strategies` you have a file `my_awesome_strategy.py` which has
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a strategy class called `AwesomeStrategy` to load it:
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```bash
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freqtrade --strategy AwesomeStrategy
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```
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If the bot does not find your strategy file, it will display in an error
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message the reason (File not found, or errors in your code).
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Learn more about strategy file in
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[Strategy Customization](strategy-customization.md).
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### How to use **--strategy-path**?
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This parameter allows you to add an additional strategy lookup path, which gets
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checked before the default locations (The passed path must be a directory!):
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```bash
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freqtrade --strategy AwesomeStrategy --strategy-path /some/directory
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```
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#### How to install a strategy?
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This is very simple. Copy paste your strategy file into the directory
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`user_data/strategies` or use `--strategy-path`. And voila, the bot is ready to use it.
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### How to use **--db-url**?
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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 `--db-url`. This can also be used to specify a custom database
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in production mode. Example command:
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```bash
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freqtrade -c config.json --db-url sqlite:///tradesv3.dry_run.sqlite
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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] [-i TICKER_INTERVAL] [--timerange TIMERANGE]
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[--max_open_trades MAX_OPEN_TRADES]
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[--stake_amount STAKE_AMOUNT] [-r] [--eps] [--dmmp]
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[-l]
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[--strategy-list STRATEGY_LIST [STRATEGY_LIST ...]]
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[--export EXPORT] [--export-filename PATH]
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optional arguments:
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-h, --help show this help message and exit
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-i TICKER_INTERVAL, --ticker-interval TICKER_INTERVAL
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Specify ticker interval (1m, 5m, 30m, 1h, 1d).
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--timerange TIMERANGE
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Specify what timerange of data to use.
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--max_open_trades MAX_OPEN_TRADES
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Specify max_open_trades to use.
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--stake_amount STAKE_AMOUNT
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Specify stake_amount.
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-r, --refresh-pairs-cached
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Refresh the pairs files in tests/testdata with the
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latest data from the exchange. Use it if you want to
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run your optimization commands with up-to-date data.
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--eps, --enable-position-stacking
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Allow buying the same pair multiple times (position
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stacking).
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--dmmp, --disable-max-market-positions
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Disable applying `max_open_trades` during backtest
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(same as setting `max_open_trades` to a very high
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number).
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-l, --live Use live data.
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--strategy-list STRATEGY_LIST [STRATEGY_LIST ...]
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Provide a commaseparated list of strategies to
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backtest Please note that ticker-interval needs to be
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set either in config or via command line. When using
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this together with --export trades, the strategy-name
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is injected into the filename (so backtest-data.json
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becomes backtest-data-DefaultStrategy.json
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--export EXPORT Export backtest results, argument are: trades. Example
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--export=trades
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--export-filename PATH
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Save backtest results to this filename requires
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--export to be set as well Example --export-
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filename=user_data/backtest_data/backtest_today.json
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(default: user_data/backtest_data/backtest-
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result.json)
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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 the Exchange.
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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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!!! Note
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Use it only if you want to update your data set. You will not be able 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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To optimize your strategy, you can use hyperopt parameter hyperoptimization
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to find optimal parameter values for your stategy.
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```
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usage: freqtrade hyperopt [-h] [-i TICKER_INTERVAL] [--timerange TIMERANGE]
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[--max_open_trades INT]
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[--stake_amount STAKE_AMOUNT] [-r]
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[--customhyperopt NAME] [--hyperopt-path PATH]
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[--eps] [-e INT]
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[-s {all,buy,sell,roi,stoploss} [{all,buy,sell,roi,stoploss} ...]]
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[--dmmp] [--print-all] [-j JOBS]
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[--random-state INT] [--min-trades INT] [--continue]
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[--hyperopt-loss NAME]
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optional arguments:
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-h, --help show this help message and exit
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-i TICKER_INTERVAL, --ticker-interval TICKER_INTERVAL
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Specify ticker interval (`1m`, `5m`, `30m`, `1h`,
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`1d`).
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--timerange TIMERANGE
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Specify what timerange of data to use.
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--max_open_trades INT
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Specify max_open_trades to use.
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--stake_amount STAKE_AMOUNT
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Specify stake_amount.
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-r, --refresh-pairs-cached
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Refresh the pairs files in tests/testdata with the
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latest data from the exchange. Use it if you want to
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run your optimization commands with up-to-date data.
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--customhyperopt NAME
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Specify hyperopt class name (default:
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`DefaultHyperOpts`).
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--hyperopt-path PATH Specify additional lookup path for Hyperopts and
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Hyperopt Loss functions.
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--eps, --enable-position-stacking
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Allow buying the same pair multiple times (position
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stacking).
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-e INT, --epochs INT Specify number of epochs (default: 100).
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-s {all,buy,sell,roi,stoploss} [{all,buy,sell,roi,stoploss} ...], --spaces {all,buy,sell,roi,stoploss} [{all,buy,sell,roi,stoploss} ...]
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Specify which parameters to hyperopt. Space-separated
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list. Default: `all`.
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--dmmp, --disable-max-market-positions
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Disable applying `max_open_trades` during backtest
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(same as setting `max_open_trades` to a very high
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number).
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--print-all Print all results, not only the best ones.
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-j JOBS, --job-workers JOBS
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The number of concurrently running jobs for
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hyperoptimization (hyperopt worker processes). If -1
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(default), all CPUs are used, for -2, all CPUs but one
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are used, etc. If 1 is given, no parallel computing
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code is used at all.
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--random-state INT Set random state to some positive integer for
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reproducible hyperopt results.
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--min-trades INT Set minimal desired number of trades for evaluations
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in the hyperopt optimization path (default: 1).
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--continue Continue hyperopt from previous runs. By default,
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temporary files will be removed and hyperopt will
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start from scratch.
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--hyperopt-loss NAME
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Specify the class name of the hyperopt loss function
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class (IHyperOptLoss). Different functions can
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generate completely different results, since the
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target for optimization is different. (default:
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`DefaultHyperOptLoss`).
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```
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## Edge commands
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To know your trade expectacny and winrate against historical data, you can use Edge.
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```
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usage: freqtrade edge [-h] [-i TICKER_INTERVAL] [--timerange TIMERANGE]
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[--max_open_trades MAX_OPEN_TRADES]
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[--stake_amount STAKE_AMOUNT] [-r]
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[--stoplosses STOPLOSS_RANGE]
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optional arguments:
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-h, --help show this help message and exit
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-i TICKER_INTERVAL, --ticker-interval TICKER_INTERVAL
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Specify ticker interval (1m, 5m, 30m, 1h, 1d).
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--timerange TIMERANGE
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Specify what timerange of data to use.
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--max_open_trades MAX_OPEN_TRADES
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Specify max_open_trades to use.
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--stake_amount STAKE_AMOUNT
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Specify stake_amount.
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-r, --refresh-pairs-cached
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Refresh the pairs files in tests/testdata with the
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latest data from the exchange. Use it if you want to
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run your optimization commands with up-to-date data.
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--stoplosses STOPLOSS_RANGE
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Defines a range of stoploss against which edge will
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assess the strategy the format is "min,max,step"
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(without any space).example:
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--stoplosses=-0.01,-0.1,-0.001
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```
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To understand edge and how to read the results, please read the [edge documentation](edge.md).
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## Next step
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The optimal strategy of the bot will change with time depending of the market trends. The next step is to
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[Strategy Customization](strategy-customization.md).
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