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Using Freqtrade with Docker
Install Docker
Start by downloading and installing Docker CE for your platform:
Optionally, docker-compose should be installed and available to follow the docker quick start guide.
Once you have Docker installed, simply prepare the config file (e.g. config.json
) and run the image for freqtrade
as explained below.
!!! Warning "Up-to-date clock" The clock on the system running the bot must be accurate, synchronized to a NTP server frequently enough to avoid problems with communication to the exchanges.
Freqtrade with docker-compose
Freqtrade provides an official Docker image on Dockerhub, as well as a docker-compose file ready for usage.
!!! Note The following section assumes that docker and docker-compose is installed and available to the logged in user.
!!! Note
All below comands use relative directories and will have to be executed from the directory containing the docker-compose.yml
file.
!!! Note "Docker on Raspberry"
If you're running freqtrade on a Raspberry PI, you must change the image from freqtradeorg/freqtrade:master
to freqtradeorg/freqtrade:master_pi
or freqtradeorg/freqtrade:develop_pi
, otherwise the image will not work.
Docker quick start
Create a new directory and place the docker-compose file in this directory.
mkdir ft_userdata
cd ft_userdata/
# Download the docker-compose file from the repository
curl https://raw.githubusercontent.com/freqtrade/freqtrade/develop/docker-compose.yml -o docker-compose.yml
# Pull the freqtrade image
docker-compose pull
# Create user directory structure
docker-compose run --rm freqtrade create-userdir --userdir user_data
# Create configuration - Requires answering interactive questions
docker-compose run --rm freqtrade new-config --config user_data/config.json
The above snippet creates a new directory called "ft_userdata", downloads the latest compose file and pulls the freqtrade image. The last 2 steps in the snippet create the directory with user-data, as well as (interactively) the default configuration based on your selections.
!!! Note
You can edit the configuration at any time, which is available as user_data/config.json
(within the directory ft_userdata
) when using the above configuration.
Adding your strategy
The configuration is now available as user_data/config.json
.
You should now copy your strategy to user_data/strategies/
- and add the Strategy class name to the docker-compose.yml
file, replacing SampleStrategy
. If you wish to run the bot with the SampleStrategy, just leave it as it is.
!!! Warning
The SampleStrategy
is there for your reference and give you ideas for your own strategy.
Please always backtest the strategy and use dry-run for some time before risking real money!
Once this is done, you're ready to launch the bot in trading mode (Dry-run or Live-trading, depending on your answer to the corresponding question you made above).
docker-compose up -d
Docker-compose logs
Logs will be written to user_data/logs/freqtrade.log
.
Alternatively, you can check the latest logs using docker-compose logs -f
.
Database
The database will be in the user_data directory as well, and will be called user_data/tradesv3.sqlite
.
Updating freqtrade with docker-compose
To update freqtrade when using docker-compose is as simple as running the following 2 commands:
# Download the latest image
docker-compose pull
# Restart the image
docker-compose up -d
This will first pull the latest image, and will then restart the container with the just pulled version.
!!! Note You should always check the changelog for breaking changes / manual interventions required and make sure the bot starts correctly after the update.
Going from here
Advanced users may edit the docker-compose file further to include all possible options or arguments.
All possible freqtrade arguments will be available by running docker-compose run --rm freqtrade <command> <optional arguments>
.
!!! Note "docker-compose run --rm
"
Including --rm
will clean up the container after completion, and is highly recommended for all modes except trading mode (running with freqtrade trade
command).
Example: Download data with docker-compose
Download backtesting data for 5 days for the pair ETH/BTC and 1h timeframe from Binance. The data will be stored in the directory user_data/data/
on the host.
docker-compose run --rm freqtrade download-data --pairs ETH/BTC --exchange binance --days 5 -t 1h
Head over to the Data Downloading Documentation for more details on downloading data.
Example: Backtest with docker-compose
Run backtesting in docker-containers for SampleStrategy and specified timerange of historical data, on 5m timeframe:
docker-compose run --rm freqtrade backtesting --config user_data/config.json --strategy SampleStrategy --timerange 20190801-20191001 -i 5m
Head over to the Backtesting Documentation to learn more.
Additional dependencies with docker-compose
If your strategy requires dependencies not included in the default image (like technical) - it will be necessary to build the image on your host. For this, please create a Dockerfile containing installation steps for the additional dependencies (have a look at Dockerfile.technical for an example).
You'll then also need to modify the docker-compose.yml
file and uncomment the build step, as well as rename the image to avoid naming collisions.
image: freqtrade_custom
build:
context: .
dockerfile: "./Dockerfile.<yourextension>"
You can then run docker-compose build
to build the docker image, and run it using the commands described above.
Freqtrade with docker without docker-compose
!!! Warning The below documentation is provided for completeness and assumes that you are somewhat familiar with running docker containers. If you're just starting out with docker, we recommend to follow the Freqtrade with docker-compose instructions.
Download the official Freqtrade docker image
Pull the image from docker hub.
Branches / tags available can be checked out on Dockerhub tags page.
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 "Docker image update frequency"
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
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 trade --db-url sqlite:///tradesv3.sqlite --strategy MyAwesomeStrategy
!!! Note
When using docker, it's best to specify --db-url
explicitly to ensure that the database URL and the mounted database file match.
!!! Note
All available bot command line parameters can be added to the end of the docker run
command.
!!! Note
You can define a restart policy in docker. It can be useful in some cases to use the --restart unless-stopped
flag (crash of freqtrade or reboot of your system).
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 backtesting --strategy AwsomelyProfitableStrategy
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).