freqtrade_origin/docs/bot-usage.md

# Start the bot

This page explains the different parameters of the bot and how to run it.

!!! Note
    If you've used `setup.sh`, don't forget to activate your virtual environment (`source .env/bin/activate`) before running freqtrade commands.

## Bot commands

```
usage: freqtrade [-h] [-V]
                 {trade,create-userdir,new-config,new-hyperopt,new-strategy,download-data,convert-data,convert-trade-data,backtesting,edge,hyperopt,hyperopt-list,hyperopt-show,list-exchanges,list-hyperopts,list-markets,list-pairs,list-strategies,list-timeframes,show-trades,test-pairlist,plot-dataframe,plot-profit}
                 ...

Free, open source crypto trading bot

positional arguments:
  {trade,create-userdir,new-config,new-hyperopt,new-strategy,download-data,convert-data,convert-trade-data,backtesting,edge,hyperopt,hyperopt-list,hyperopt-show,list-exchanges,list-hyperopts,list-markets,list-pairs,list-strategies,list-timeframes,show-trades,test-pairlist,plot-dataframe,plot-profit}
    trade               Trade module.
    create-userdir      Create user-data directory.
    new-config          Create new config
    new-hyperopt        Create new hyperopt
    new-strategy        Create new strategy
    download-data       Download backtesting data.
    convert-data        Convert candle (OHLCV) data from one format to
                        another.
    convert-trade-data  Convert trade data from one format to another.
    backtesting         Backtesting module.
    edge                Edge module.
    hyperopt            Hyperopt module.
    hyperopt-list       List Hyperopt results
    hyperopt-show       Show details of Hyperopt results
    list-exchanges      Print available exchanges.
    list-hyperopts      Print available hyperopt classes.
    list-markets        Print markets on exchange.
    list-pairs          Print pairs on exchange.
    list-strategies     Print available strategies.
    list-timeframes     Print available timeframes for the exchange.
    show-trades         Show trades.
    test-pairlist       Test your pairlist configuration.
    plot-dataframe      Plot candles with indicators.
    plot-profit         Generate plot showing profits.

optional arguments:
  -h, --help            show this help message and exit
  -V, --version         show program's version number and exit

```

### Bot trading commands

```
usage: freqtrade trade [-h] [-v] [--logfile FILE] [-V] [-c PATH] [-d PATH]
                       [--userdir PATH] [-s NAME] [--strategy-path PATH]
                       [--db-url PATH] [--sd-notify] [--dry-run]

optional arguments:
  -h, --help            show this help message and exit
  --db-url PATH         Override trades database URL, this is useful in custom
                        deployments (default: `sqlite:///tradesv3.sqlite` for
                        Live Run mode, `sqlite:///tradesv3.dryrun.sqlite` for
                        Dry Run).
  --sd-notify           Notify systemd service manager.
  --dry-run             Enforce dry-run for trading (removes Exchange secrets
                        and simulates trades).

Common arguments:
  -v, --verbose         Verbose mode (-vv for more, -vvv to get all messages).
  --logfile FILE        Log to the file specified. Special values are:
                        'syslog', 'journald'. See the documentation for more
                        details.
  -V, --version         show program's version number and exit
  -c PATH, --config PATH
                        Specify configuration file (default:
                        `userdir/config.json` or `config.json` whichever
                        exists). Multiple --config options may be used. Can be
                        set to `-` to read config from stdin.
  -d PATH, --datadir PATH
                        Path to directory with historical backtesting data.
  --userdir PATH, --user-data-dir PATH
                        Path to userdata directory.

Strategy arguments:
  -s NAME, --strategy NAME
                        Specify strategy class name which will be used by the
                        bot.
  --strategy-path PATH  Specify additional strategy lookup path.

```

### How to specify which configuration file be used?

The bot allows you to select which configuration file you want to use by means of
the `-c/--config` command line option:

```bash
freqtrade trade -c path/far/far/away/config.json
```

Per default, the bot loads the `config.json` configuration file from the current
working directory.

### How to use multiple configuration files?

The bot allows you to use multiple configuration files by specifying multiple
`-c/--config` options in the command line. Configuration parameters
defined in the latter configuration files override parameters with the same name
defined in the previous configuration files specified in the command line earlier.

For example, you can make a separate configuration file with your key and secret
for the Exchange you use for trading, specify default configuration file with
empty key and secret values while running in the Dry Mode (which does not actually
require them):

```bash
freqtrade trade -c ./config.json
```

and specify both configuration files when running in the normal Live Trade Mode:

```bash
freqtrade trade -c ./config.json -c path/to/secrets/keys.config.json
```

This could help you hide your private Exchange key and Exchange secret on you local machine
by setting appropriate file permissions for the file which contains actual secrets and, additionally,
prevent unintended disclosure of sensitive private data when you publish examples
of your configuration in the project issues or in the Internet.

See more details on this technique with examples in the documentation page on
[configuration](configuration.md).

### Where to store custom data

Freqtrade allows the creation of a user-data directory using `freqtrade create-userdir --userdir someDirectory`.
This directory will look as follows:

```
user_data/
├── backtest_results
├── data
├── hyperopts
├── hyperopt_results
├── plot
└── strategies
```

You can add the entry "user_data_dir" setting to your configuration, to always point your bot to this directory.
Alternatively, pass in `--userdir` to every command.
The bot will fail to start if the directory does not exist, but will create necessary subdirectories.

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.

It is recommended to use version control to keep track of changes to your strategies.

### How to use **--strategy**?

This parameter will allow you to load your custom strategy class.
To test the bot installation, you can use the `SampleStrategy` installed by the `create-userdir` subcommand (usually `user_data/strategy/sample_strategy.py`).

The bot will search your strategy file within `user_data/strategies`.
To use other directories, please read the next section about `--strategy-path`.

To load a strategy, simply pass the class name (e.g.: `CustomStrategy`) in this parameter.

**Example:**
In `user_data/strategies` you have a file `my_awesome_strategy.py` which has
a strategy class called `AwesomeStrategy` to load it:

```bash
freqtrade trade --strategy AwesomeStrategy
```

If the bot does not find your strategy file, it will display in an error
message the reason (File not found, or errors in your code).

Learn more about strategy file in
[Strategy Customization](strategy-customization.md).

### How to use **--strategy-path**?

This parameter allows you to add an additional strategy lookup path, which gets
checked before the default locations (The passed path must be a directory!):

```bash
freqtrade trade --strategy AwesomeStrategy --strategy-path /some/directory
```

#### How to install a strategy?

This is very simple. Copy paste your strategy file into the directory
`user_data/strategies` or use `--strategy-path`. And voila, the bot is ready to use it.

### How to use **--db-url**?

When you run the bot in Dry-run mode, per default no transactions are
stored in a database. If you want to store your bot actions in a DB
using `--db-url`. This can also be used to specify a custom database
in production mode. Example command:

```bash
freqtrade trade -c config.json --db-url sqlite:///tradesv3.dry_run.sqlite
```

## Backtesting commands

Backtesting also uses the config specified via `-c/--config`.

```
usage: freqtrade backtesting [-h] [-v] [--logfile FILE] [-V] [-c PATH]
                             [-d PATH] [--userdir PATH] [-s NAME]
                             [--strategy-path PATH] [-i TIMEFRAME]
                             [--timerange TIMERANGE] [--max-open-trades INT]
                             [--stake-amount STAKE_AMOUNT] [--fee FLOAT]
                             [--eps] [--dmmp]
                             [--strategy-list STRATEGY_LIST [STRATEGY_LIST ...]]
                             [--export EXPORT] [--export-filename PATH]

optional arguments:
  -h, --help            show this help message and exit
  -i TIMEFRAME, --timeframe TIMEFRAME, --ticker-interval TIMEFRAME
                        Specify ticker interval (`1m`, `5m`, `30m`, `1h`,
                        `1d`).
  --timerange TIMERANGE
                        Specify what timerange of data to use.
  --max-open-trades INT
                        Override the value of the `max_open_trades`
                        configuration setting.
  --stake-amount STAKE_AMOUNT
                        Override the value of the `stake_amount` configuration
                        setting.
  --fee FLOAT           Specify fee ratio. Will be applied twice (on trade
                        entry and exit).
  --eps, --enable-position-stacking
                        Allow buying the same pair multiple times (position
                        stacking).
  --dmmp, --disable-max-market-positions
                        Disable applying `max_open_trades` during backtest
                        (same as setting `max_open_trades` to a very high
                        number).
  --strategy-list STRATEGY_LIST [STRATEGY_LIST ...]
                        Provide a space-separated list of strategies to
                        backtest. Please note that ticker-interval needs to be
                        set either in config or via command line. When using
                        this together with `--export trades`, the strategy-
                        name is injected into the filename (so `backtest-
                        data.json` becomes `backtest-data-
                        DefaultStrategy.json`
  --export EXPORT       Export backtest results, argument are: trades.
                        Example: `--export=trades`
  --export-filename PATH
                        Save backtest results to the file with this filename.
                        Requires `--export` to be set as well. Example:
                        `--export-filename=user_data/backtest_results/backtest
                        _today.json`

Common arguments:
  -v, --verbose         Verbose mode (-vv for more, -vvv to get all messages).
  --logfile FILE        Log to the file specified. Special values are:
                        'syslog', 'journald'. See the documentation for more
                        details.
  -V, --version         show program's version number and exit
  -c PATH, --config PATH
                        Specify configuration file (default:
                        `userdir/config.json` or `config.json` whichever
                        exists). Multiple --config options may be used. Can be
                        set to `-` to read config from stdin.
  -d PATH, --datadir PATH
                        Path to directory with historical backtesting data.
  --userdir PATH, --user-data-dir PATH
                        Path to userdata directory.

Strategy arguments:
  -s NAME, --strategy NAME
                        Specify strategy class name which will be used by the
                        bot.
  --strategy-path PATH  Specify additional strategy lookup path.

```

### Getting historic data for backtesting

The first time your run Backtesting, you will need to download some historic data first.
This can be accomplished by using `freqtrade download-data`.  
Check the corresponding [Data Downloading](data-download.md) section for more details

## Hyperopt commands

To optimize your strategy, you can use hyperopt parameter hyperoptimization
to find optimal parameter values for your strategy.

```
usage: freqtrade hyperopt [-h] [-v] [--logfile FILE] [-V] [-c PATH] [-d PATH]
                          [--userdir PATH] [-s NAME] [--strategy-path PATH]
                          [-i TIMEFRAME] [--timerange TIMERANGE]
                          [--max-open-trades INT]
                          [--stake-amount STAKE_AMOUNT] [--fee FLOAT]
                          [--hyperopt NAME] [--hyperopt-path PATH] [--eps]
                          [-e INT]
                          [--spaces {all,buy,sell,roi,stoploss,trailing,default} [{all,buy,sell,roi,stoploss,trailing,default} ...]]
                          [--dmmp] [--print-all] [--no-color] [--print-json]
                          [-j JOBS] [--random-state INT] [--min-trades INT]
                          [--continue] [--hyperopt-loss NAME]

optional arguments:
  -h, --help            show this help message and exit
  -i TIMEFRAME, --timeframe TIMEFRAME, --ticker-interval TIMEFRAME
                        Specify ticker interval (`1m`, `5m`, `30m`, `1h`,
                        `1d`).
  --timerange TIMERANGE
                        Specify what timerange of data to use.
  --max-open-trades INT
                        Override the value of the `max_open_trades`
                        configuration setting.
  --stake-amount STAKE_AMOUNT
                        Override the value of the `stake_amount` configuration
                        setting.
  --fee FLOAT           Specify fee ratio. Will be applied twice (on trade
                        entry and exit).
  --hyperopt NAME       Specify hyperopt class name which will be used by the
                        bot.
  --hyperopt-path PATH  Specify additional lookup path for Hyperopt and
                        Hyperopt Loss functions.
  --eps, --enable-position-stacking
                        Allow buying the same pair multiple times (position
                        stacking).
  -e INT, --epochs INT  Specify number of epochs (default: 100).
  --spaces {all,buy,sell,roi,stoploss,trailing,default} [{all,buy,sell,roi,stoploss,trailing,default} ...]
                        Specify which parameters to hyperopt. Space-separated
                        list.
  --dmmp, --disable-max-market-positions
                        Disable applying `max_open_trades` during backtest
                        (same as setting `max_open_trades` to a very high
                        number).
  --print-all           Print all results, not only the best ones.
  --no-color            Disable colorization of hyperopt results. May be
                        useful if you are redirecting output to a file.
  --print-json          Print output in JSON format.
  -j JOBS, --job-workers JOBS
                        The number of concurrently running jobs for
                        hyperoptimization (hyperopt worker processes). If -1
                        (default), all CPUs are used, for -2, all CPUs but one
                        are used, etc. If 1 is given, no parallel computing
                        code is used at all.
  --random-state INT    Set random state to some positive integer for
                        reproducible hyperopt results.
  --min-trades INT      Set minimal desired number of trades for evaluations
                        in the hyperopt optimization path (default: 1).
  --continue            Continue hyperopt from previous runs. By default,
                        temporary files will be removed and hyperopt will
                        start from scratch.
  --hyperopt-loss NAME  Specify the class name of the hyperopt loss function
                        class (IHyperOptLoss). Different functions can
                        generate completely different results, since the
                        target for optimization is different. Built-in
                        Hyperopt-loss-functions are: DefaultHyperOptLoss,
                        OnlyProfitHyperOptLoss, SharpeHyperOptLoss,
                        SharpeHyperOptLossDaily, SortinoHyperOptLoss,
                        SortinoHyperOptLossDaily.(default:
                        `DefaultHyperOptLoss`).

Common arguments:
  -v, --verbose         Verbose mode (-vv for more, -vvv to get all messages).
  --logfile FILE        Log to the file specified. Special values are:
                        'syslog', 'journald'. See the documentation for more
                        details.
  -V, --version         show program's version number and exit
  -c PATH, --config PATH
                        Specify configuration file (default:
                        `userdir/config.json` or `config.json` whichever
                        exists). Multiple --config options may be used. Can be
                        set to `-` to read config from stdin.
  -d PATH, --datadir PATH
                        Path to directory with historical backtesting data.
  --userdir PATH, --user-data-dir PATH
                        Path to userdata directory.

Strategy arguments:
  -s NAME, --strategy NAME
                        Specify strategy class name which will be used by the
                        bot.
  --strategy-path PATH  Specify additional strategy lookup path.

```

## Edge commands

To know your trade expectancy and winrate against historical data, you can use Edge.

```
usage: freqtrade edge [-h] [-v] [--logfile FILE] [-V] [-c PATH] [-d PATH]
                      [--userdir PATH] [-s NAME] [--strategy-path PATH]
                      [-i TIMEFRAME] [--timerange TIMERANGE]
                      [--max-open-trades INT] [--stake-amount STAKE_AMOUNT]
                      [--fee FLOAT] [--stoplosses STOPLOSS_RANGE]

optional arguments:
  -h, --help            show this help message and exit
  -i TIMEFRAME, --timeframe TIMEFRAME, --ticker-interval TIMEFRAME
                        Specify ticker interval (`1m`, `5m`, `30m`, `1h`,
                        `1d`).
  --timerange TIMERANGE
                        Specify what timerange of data to use.
  --max-open-trades INT
                        Override the value of the `max_open_trades`
                        configuration setting.
  --stake-amount STAKE_AMOUNT
                        Override the value of the `stake_amount` configuration
                        setting.
  --fee FLOAT           Specify fee ratio. Will be applied twice (on trade
                        entry and exit).
  --stoplosses STOPLOSS_RANGE
                        Defines a range of stoploss values against which edge
                        will assess the strategy. The format is "min,max,step"
                        (without any space). Example:
                        `--stoplosses=-0.01,-0.1,-0.001`

Common arguments:
  -v, --verbose         Verbose mode (-vv for more, -vvv to get all messages).
  --logfile FILE        Log to the file specified. Special values are:
                        'syslog', 'journald'. See the documentation for more
                        details.
  -V, --version         show program's version number and exit
  -c PATH, --config PATH
                        Specify configuration file (default:
                        `userdir/config.json` or `config.json` whichever
                        exists). Multiple --config options may be used. Can be
                        set to `-` to read config from stdin.
  -d PATH, --datadir PATH
                        Path to directory with historical backtesting data.
  --userdir PATH, --user-data-dir PATH
                        Path to userdata directory.

Strategy arguments:
  -s NAME, --strategy NAME
                        Specify strategy class name which will be used by the
                        bot.
  --strategy-path PATH  Specify additional strategy lookup path.

```

To understand edge and how to read the results, please read the [edge documentation](edge.md).

## Next step

The optimal strategy of the bot will change with time depending of the market trends. The next step is to
[Strategy Customization](strategy-customization.md).