Fixed typo.
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Bot usage
This page explains the difference parameters of the bot and how to run it.
Table of Contents
Bot commands
usage: main.py [-h] [-c PATH] [-v] [--version] [--dynamic-whitelist [INT]]
[--dry-run-db]
{backtesting,hyperopt} ...
Simple High Frequency Trading Bot for crypto currencies
positional arguments:
{backtesting,hyperopt}
backtesting backtesting module
hyperopt hyperopt module
optional arguments:
-h, --help show this help message and exit
-v, --verbose be verbose
--version show program's version number and exit
-c PATH, --config PATH
specify configuration file (default: config.json)
-s PATH, --strategy PATH
specify strategy file (default:
freqtrade/strategy/default_strategy.py)
--dry-run-db Force dry run to use a local DB
"tradesv3.dry_run.sqlite" instead of memory DB. Work
only if dry_run is enabled.
-dd PATH, --datadir PATH
path to backtest data (default freqdata/tests/testdata
--dynamic-whitelist [INT]
dynamically generate and update whitelist based on 24h
BaseVolume (Default 20 currencies)
How to use a different config file?
The bot allows you to select which config file you want to use. Per
default, the bot will load the file ./config.json
python3 ./freqtrade/main.py -c path/far/far/away/config.json
How to use --strategy?
This parameter will allow you to load your custom strategy file. Per
default without --strategy
or -s
the bot will load the
default_strategy
included with the bot (freqtrade/strategy/default_strategy.py
).
The bot will search your strategy file into user_data/strategies
and
freqtrade/strategy
.
To load a strategy, simply pass the file name (without .py) in this parameters.
Example:
In user_data/strategies
you have a file my_awesome_strategy.py
to
load it:
python3 ./freqtrade/main.py --strategy my_awesome_strategy
If the bot does not find your strategy file, it will fallback to the
default_strategy
.
Learn more about strategy file in optimize your bot.
How to install a strategy?
This is very simple. Copy paste your strategy file into the folder
user_data/strategies
. And voila, the bot is ready to use it.
How to use --dynamic-whitelist?
Per default --dynamic-whitelist
will retrieve the 20 currencies based
on BaseVolume. This value can be changed when you run the script.
By Default
Get the 20 currencies based on BaseVolume.
python3 ./freqtrade/main.py --dynamic-whitelist
Customize the number of currencies to retrieve
Get the 30 currencies based on BaseVolume.
python3 ./freqtrade/main.py --dynamic-whitelist 30
Exception
--dynamic-whitelist
must be greater than 0. If you enter 0 or a
negative value (e.g -2), --dynamic-whitelist
will use the default
value (20).
How to use --dry-run-db?
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 --dry-run-db
. This command will use a separate database file
tradesv3.dry_run.sqlite
python3 ./freqtrade/main.py -c config.json --dry-run-db
Backtesting commands
Backtesting also uses the config specified via -c/--config
.
usage: freqtrade backtesting [-h] [-l] [-i INT] [--realistic-simulation]
[-r]
optional arguments:
-h, --help show this help message and exit
-l, --live using live data
-i INT, --ticker-interval INT
specify ticker interval in minutes (default: 5)
--realistic-simulation
uses max_open_trades from config to simulate real
world limitations
-r, --refresh-pairs-cached
refresh the pairs files in tests/testdata with
the latest data from Bittrex. Use it if you want
to run your backtesting with up-to-date data.
How to use --refresh-pairs-cached parameter?
The first time your run Backtesting, it will take the pairs you have set in your config file and download data from Bittrex.
If for any reason you want to update your data set, you use
--refresh-pairs-cached
to force Backtesting to update the data it has.
Use it only if you want to update your data set. You will not be able
to come back to the previous version.
To test your strategy with latest data, we recommend continuing using
the parameter -l
or --live
.
Hyperopt commands
It is possible to use hyperopt for trading strategy optimization.
Hyperopt uses an internal json config return by hyperopt_optimize_conf()
located in freqtrade/optimize/hyperopt_conf.py
.
usage: freqtrade hyperopt [-h] [-e INT] [--use-mongodb]
optional arguments:
-h, --help show this help message and exit
-e INT, --epochs INT specify number of epochs (default: 100)
--use-mongodb parallelize evaluations with mongodb (requires mongod
in PATH)
A parameter missing in the configuration?
All parameters for main.py
, backtesting
, hyperopt
are referenced
in misc.py
Next step
The optimal strategy of the bot will change with time depending of the market trends. The next step is to optimize your bot.