411 lines
18 KiB
Markdown
411 lines
18 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]
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{trade,backtesting,edge,hyperopt,create-userdir,list-exchanges,list-timeframes,download-data,plot-dataframe,plot-profit}
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...
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Free, open source crypto trading bot
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positional arguments:
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{trade,backtesting,edge,hyperopt,create-userdir,list-exchanges,list-timeframes,download-data,plot-dataframe,plot-profit}
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trade Trade module.
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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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create-userdir Create user-data directory.
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list-exchanges Print available exchanges.
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list-timeframes Print available ticker intervals (timeframes) for the
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exchange.
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download-data Download backtesting data.
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plot-dataframe Plot candles with indicators.
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plot-profit Generate plot showing profits.
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optional arguments:
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-h, --help show this help message and exit
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-V, --version show program's version number and exit
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```
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### Bot trading commands
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```
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usage: freqtrade trade [-h] [-v] [--logfile FILE] [-V] [-c PATH] [-d PATH]
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[--userdir PATH] [-s NAME] [--strategy-path PATH]
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[--db-url PATH] [--sd-notify] [--dry-run]
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optional arguments:
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-h, --help show this help message and exit
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--db-url PATH Override trades database URL, this is useful in custom
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deployments (default: `sqlite:///tradesv3.sqlite` for
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Live Run mode, `sqlite://` for Dry Run).
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--sd-notify Notify systemd service manager.
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--dry-run Enforce dry-run for trading (removes Exchange secrets
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and simulates trades).
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Common arguments:
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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: `config.json`).
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Multiple --config options may be used. Can be set to
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`-` to read config from stdin.
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-d PATH, --datadir PATH
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Path to directory with historical backtesting data.
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--userdir PATH, --user-data-dir PATH
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Path to userdata directory.
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Strategy arguments:
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-s NAME, --strategy NAME
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Specify strategy class name which will be used by the
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bot.
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--strategy-path PATH Specify additional strategy lookup path.
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```
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### How to specify which configuration file be used?
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The bot allows you to select which configuration file you want to use by means of
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the `-c/--config` command line option:
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```bash
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freqtrade trade -c path/far/far/away/config.json
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```
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Per default, the bot loads the `config.json` configuration file from the current
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working directory.
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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` options in the command line. Configuration parameters
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defined in the latter configuration files override parameters with the same name
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defined in the previous configuration files specified in the command line earlier.
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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 trade -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 trade -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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### Where to store custom data
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Freqtrade allows the creation of a user-data directory using `freqtrade create-userdir --userdir someDirectory`.
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This directory will look as follows:
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```
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user_data/
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├── backtest_results
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├── data
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├── hyperopts
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├── hyperopt_results
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├── plot
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└── strategies
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```
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You can add the entry "user_data_dir" setting to your configuration, to always point your bot to this directory.
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Alternatively, pass in `--userdir` to every command.
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The bot will fail to start if the directory does not exist, but will create necessary subdirectories.
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This directory should contain your custom strategies, custom hyperopts and hyperopt loss functions, backtesting historical data (downloaded using either backtesting command or the download script) and plot outputs.
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It is recommended to use version control to keep track of changes to your strategies.
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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 trade --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 trade --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 trade -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] [-v] [--logfile FILE] [-V] [-c PATH]
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[-d PATH] [--userdir PATH] [-s NAME]
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[--strategy-path PATH] [-i TICKER_INTERVAL]
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[--timerange TIMERANGE] [--max_open_trades INT]
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[--stake_amount STAKE_AMOUNT] [--fee FLOAT]
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[--eps] [--dmmp]
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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`,
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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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--fee FLOAT Specify fee ratio. Will be applied twice (on trade
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entry and exit).
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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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--strategy-list STRATEGY_LIST [STRATEGY_LIST ...]
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Provide a space-separated 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-
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name is injected into the filename (so `backtest-
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data.json` becomes `backtest-data-
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DefaultStrategy.json`
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--export EXPORT Export backtest results, argument are: trades.
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Example: `--export=trades`
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--export-filename PATH
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Save backtest results to the file with this filename.
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Requires `--export` to be set as well. Example:
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`--export-filename=user_data/backtest_results/backtest
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_today.json`
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Common arguments:
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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: `config.json`).
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Multiple --config options may be used. Can be set to
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`-` to read config from stdin.
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-d PATH, --datadir PATH
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Path to directory with historical backtesting data.
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--userdir PATH, --user-data-dir PATH
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Path to userdata directory.
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Strategy arguments:
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-s NAME, --strategy NAME
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Specify strategy class name which will be used by the
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bot.
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--strategy-path PATH Specify additional strategy lookup path.
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```
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### Getting historic data for backtesting
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The first time your run Backtesting, you will need to download some historic data first.
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This can be accomplished by using `freqtrade download-data`.
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Check the corresponding [Data Downloading](data-download.md) section for more details
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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] [-v] [--logfile FILE] [-V] [-c PATH] [-d PATH]
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[--userdir PATH] [-s NAME] [--strategy-path PATH]
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[-i TICKER_INTERVAL] [--timerange TIMERANGE]
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[--max_open_trades INT]
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[--stake_amount STAKE_AMOUNT] [--fee FLOAT]
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[--hyperopt NAME] [--hyperopt-path PATH] [--eps]
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[-e INT]
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[--spaces {all,buy,sell,roi,stoploss} [{all,buy,sell,roi,stoploss} ...]]
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[--dmmp] [--print-all] [--no-color] [--print-json]
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[-j JOBS] [--random-state INT] [--min-trades INT]
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[--continue] [--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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--fee FLOAT Specify fee ratio. Will be applied twice (on trade
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entry and exit).
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--hyperopt NAME Specify hyperopt class name which will be used by the
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bot.
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--hyperopt-path PATH Specify additional lookup path for Hyperopt 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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--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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--no-color Disable colorization of hyperopt results. May be
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useful if you are redirecting output to a file.
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--print-json Print best result detailization in JSON format.
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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 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. Built-in
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Hyperopt-loss-functions are: DefaultHyperOptLoss,
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OnlyProfitHyperOptLoss, SharpeHyperOptLoss (default:
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`DefaultHyperOptLoss`).
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Common arguments:
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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: `config.json`).
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Multiple --config options may be used. Can be set to
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`-` to read config from stdin.
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-d PATH, --datadir PATH
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Path to directory with historical backtesting data.
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--userdir PATH, --user-data-dir PATH
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Path to userdata directory.
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Strategy arguments:
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-s NAME, --strategy NAME
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Specify strategy class name which will be used by the
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bot.
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--strategy-path PATH Specify additional strategy lookup path.
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```
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## Edge commands
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To know your trade expectancy and winrate against historical data, you can use Edge.
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```
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usage: freqtrade edge [-h] [-v] [--logfile FILE] [-V] [-c PATH] [-d PATH]
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[--userdir PATH] [-s NAME] [--strategy-path PATH]
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[-i TICKER_INTERVAL] [--timerange TIMERANGE]
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[--max_open_trades INT] [--stake_amount STAKE_AMOUNT]
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[--fee FLOAT] [--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`,
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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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--fee FLOAT Specify fee ratio. Will be applied twice (on trade
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entry and exit).
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--stoplosses STOPLOSS_RANGE
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Defines a range of stoploss values against which edge
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will 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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Common arguments:
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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: `config.json`).
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Multiple --config options may be used. Can be set to
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`-` to read config from stdin.
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-d PATH, --datadir PATH
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Path to directory with historical backtesting data.
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--userdir PATH, --user-data-dir PATH
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Path to userdata directory.
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Strategy arguments:
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-s NAME, --strategy NAME
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Specify strategy class name which will be used by the
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bot.
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--strategy-path PATH Specify additional strategy lookup path.
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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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