Using FreqTrade with Docker¶
Install Docker¶
Start by downloading and installing Docker CE for your platform:
Once you have Docker installed, simply prepare the config file (e.g. config.json
) and run the image for freqtrade
as explained below.
Download the official FreqTrade docker image¶
Pull the image from docker hub.
Branches / tags available can be checked out on Dockerhub.
docker pull freqtradeorg/freqtrade:develop
# Optionally tag the repository so the run-commands remain shorter
docker tag freqtradeorg/freqtrade:develop freqtrade
To update the image, simply run the above commands again and restart your running container.
Should you require additional libraries, please build the image yourself.
Note
The official docker images with tags master
, develop
and latest
are automatically rebuild once a week to keep the base image uptodate.
In addition to that, every merge to develop
will trigger a rebuild for develop
and latest
.
Prepare the configuration files¶
Even though you will use docker, you'll still need some files from the github repository.
Clone the git repository¶
Linux/Mac/Windows with WSL
git clone https://github.com/freqtrade/freqtrade.git
Windows with docker
git clone --config core.autocrlf=input https://github.com/freqtrade/freqtrade.git
Copy config.json.example
to config.json
¶
cd freqtrade
cp -n config.json.example config.json
To understand the configuration options, please refer to the Bot Configuration page.
Create your database file¶
Production
touch tradesv3.sqlite
````
Dry-Run
```bash
touch tradesv3.dryrun.sqlite
Note
Make sure to use the path to this file when starting the bot in docker.
Build your own Docker image¶
Best start by pulling the official docker image from dockerhub as explained here to speed up building.
To add additional libraries to your docker image, best check out Dockerfile.technical which adds the technical module to the image.
docker build -t freqtrade -f Dockerfile.technical .
If you are developing using Docker, use Dockerfile.develop
to build a dev Docker image, which will also set up develop dependencies:
docker build -f Dockerfile.develop -t freqtrade-dev .
Note
For security reasons, your configuration file will not be included in the image, you will need to bind mount it. It is also advised to bind mount an SQLite database file (see the "5. Run a restartable docker image" section) to keep it between updates.
Verify the Docker image¶
After the build process you can verify that the image was created with:
docker images
The output should contain the freqtrade image.
Run the Docker image¶
You can run a one-off container that is immediately deleted upon exiting with the following command (config.json
must be in the current working directory):
docker run --rm -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
Warning
In this example, the database will be created inside the docker instance and will be lost when you will refresh your image.
Adjust timezone¶
By default, the container will use UTC timezone. Should you find this irritating please add the following to your docker commands:
Linux¶
-v /etc/timezone:/etc/timezone:ro
# Complete command:
docker run --rm -v /etc/timezone:/etc/timezone:ro -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
MacOS¶
There is known issue in OSX Docker versions after 17.09.1, whereby /etc/localtime
cannot be shared causing Docker to not start. A work-around for this is to start with the following cmd.
docker run --rm -e TZ=`ls -la /etc/localtime | cut -d/ -f8-9` -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
More information on this docker issue and work-around can be read here.
Run a restartable docker image¶
To run a restartable instance in the background (feel free to place your configuration and database files wherever it feels comfortable on your filesystem).
Move your config file and database¶
The following will assume that you place your configuration / database files to ~/.freqtrade
, which is a hidden directory in your home directory. Feel free to use a different directory and replace the directory in the upcomming commands.
mkdir ~/.freqtrade
mv config.json ~/.freqtrade
mv tradesv3.sqlite ~/.freqtrade
Run the docker image¶
docker run -d \
--name freqtrade \
-v ~/.freqtrade/config.json:/freqtrade/config.json \
-v ~/.freqtrade/user_data/:/freqtrade/user_data \
-v ~/.freqtrade/tradesv3.sqlite:/freqtrade/tradesv3.sqlite \
freqtrade --db-url sqlite:///tradesv3.sqlite --strategy MyAwesomeStrategy
Note
db-url defaults to sqlite:///tradesv3.sqlite
but it defaults to sqlite://
if dry_run=True
is being used.
To override this behaviour use a custom db-url value: i.e.: --db-url sqlite:///tradesv3.dryrun.sqlite
Note
All available bot command line parameters can be added to the end of the docker run
command.
Monitor your Docker instance¶
You can use the following commands to monitor and manage your container:
docker logs freqtrade
docker logs -f freqtrade
docker restart freqtrade
docker stop freqtrade
docker start freqtrade
For more information on how to operate Docker, please refer to the official Docker documentation.
Note
You do not need to rebuild the image for configuration changes, it will suffice to edit config.json
and restart the container.
Backtest with docker¶
The following assumes that the download/setup of the docker image have been completed successfully.
Also, backtest-data should be available at ~/.freqtrade/user_data/
.
docker run -d \
--name freqtrade \
-v /etc/localtime:/etc/localtime:ro \
-v ~/.freqtrade/config.json:/freqtrade/config.json \
-v ~/.freqtrade/tradesv3.sqlite:/freqtrade/tradesv3.sqlite \
-v ~/.freqtrade/user_data/:/freqtrade/user_data/ \
freqtrade --strategy AwsomelyProfitableStrategy backtesting
Head over to the Backtesting Documentation for more details.
Note
Additional bot command line parameters can be appended after the image name (freqtrade
in the above example).