Address issue #2487
Breakdown insllation instructions Make installation instructions shorter Separate Windows from the remainder Use tabs for better navigation Minor language improvements
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docs/docker.md
349
docs/docker.md
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@ -8,7 +8,7 @@ Start by downloading and installing Docker CE for your platform:
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* [Windows](https://docs.docker.com/docker-for-windows/install/)
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* [Linux](https://docs.docker.com/install/)
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Optionally, [docker-compose](https://docs.docker.com/compose/install/) should be installed and available to follow the [docker quick start guide](#docker-quick-start).
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Optionally, [`docker-compose`](https://docs.docker.com/compose/install/) should be installed and available to follow the [docker quick start guide](#docker-quick-start).
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Once you have Docker installed, simply prepare the config file (e.g. `config.json`) and run the image for `freqtrade` as explained below.
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@ -17,325 +17,96 @@ Once you have Docker installed, simply prepare the config file (e.g. `config.jso
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Freqtrade provides an official Docker image on [Dockerhub](https://hub.docker.com/r/freqtradeorg/freqtrade/), as well as a [docker-compose file](https://github.com/freqtrade/freqtrade/blob/develop/docker-compose.yml) ready for usage.
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!!! Note
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The following section assumes that docker and docker-compose is installed and available to the logged in user.
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!!! Note
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All below comands use relative directories and will have to be executed from the directory containing the `docker-compose.yml` file.
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!!! Note "Docker on Raspberry"
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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.
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- The following section assumes that `docker` and `docker-compose` are installed and available to the logged in user.
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- All below comands use relative directories and will have to be executed from the directory containing the `docker-compose.yml` file.
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### Docker quick start
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Create a new directory and place the [docker-compose file](https://github.com/freqtrade/freqtrade/blob/develop/docker-compose.yml) in this directory.
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``` bash
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mkdir ft_userdata
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cd ft_userdata/
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# Download the docker-compose file from the repository
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curl https://raw.githubusercontent.com/freqtrade/freqtrade/develop/docker-compose.yml -o docker-compose.yml
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=== "PC/MAC/Linux"
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``` bash
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mkdir ft_userdata
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cd ft_userdata/
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# Download the docker-compose file from the repository
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curl https://raw.githubusercontent.com/freqtrade/freqtrade/master/docker-compose.yml -o docker-compose.yml
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# Pull the freqtrade image
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docker-compose pull
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# Pull the freqtrade image
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docker-compose pull
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# Create user directory structure
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docker-compose run --rm freqtrade create-userdir --userdir user_data
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# Create user directory structure
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docker-compose run --rm freqtrade create-userdir --userdir user_data
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# Create configuration - Requires answering interactive questions
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docker-compose run --rm freqtrade new-config --config user_data/config.json
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```
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# Create configuration - Requires answering interactive questions
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docker-compose run --rm freqtrade new-config --config user_data/config.json
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```
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The above snippet creates a new directory called "ft_userdata", downloads the latest compose file and pulls the freqtrade image.
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The last 2 steps in the snippet create the directory with user-data, as well as (interactively) the default configuration based on your selections.
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=== "RaspberryPi"
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``` bash
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mkdir ft_userdata
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cd ft_userdata/
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# Download the docker-compose file from the repository
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curl https://raw.githubusercontent.com/freqtrade/freqtrade/master_pi/docker-compose.yml -o docker-compose.yml
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!!! Note
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# Pull the freqtrade image
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docker-compose pull
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# Create user directory structure
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docker-compose run --rm freqtrade create-userdir --userdir user_data
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# Create configuration - Requires answering interactive questions
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docker-compose run --rm freqtrade new-config --config user_data/config.json
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```
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The above snippet creates a new directory called `ft_userdata`, downloads the latest compose file and pulls the freqtrade image.
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The last 2 steps in the snippet create the directory with `user_data`, as well as (interactively) the default configuration based on your selections.
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!!! Question "How to edit the bot configuration?"
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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.
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#### Adding your strategy
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#### Adding a custom strategy
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The configuration is now available as `user_data/config.json`.
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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.
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1. The configuration is now available as `user_data/config.json`
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2. Copy a custom strategy to the directory `user_data/strategies/`
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3. add the Strategy' class name to the `docker-compose.yml` file
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!!! Warning
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The `SampleStrategy` is run by default.
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!!! Warning "`SampleStrategy` is just a demo!"
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The `SampleStrategy` is there for your reference and give you ideas for your own strategy.
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Please always backtest the strategy and use dry-run for some time before risking real money!
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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).
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``` bash
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docker-compose up -d
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```
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=== "Docker Compose"
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``` bash
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docker-compose up -d
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```
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#### Docker-compose logs
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Logs will be written to `user_data/logs/freqtrade.log`.
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Alternatively, you can check the latest logs using `docker-compose logs -f`.
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Logs will be located at: `user_data/logs/freqtrade.log`.
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You can check the latest log with the command `docker-compose logs -f`.
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#### Database
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The database will be in the user_data directory as well, and will be called `user_data/tradesv3.sqlite`.
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The database will be at: `user_data/tradesv3.sqlite`
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#### Updating freqtrade with docker-compose
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To update freqtrade when using docker-compose is as simple as running the following 2 commands:
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To update freqtrade when using `docker-compose` is as simple as running the following 2 commands:
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``` bash
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# Download the latest image
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docker-compose pull
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# Restart the image
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docker-compose up -d
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```
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=== "Docker Compose"
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``` bash
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# Download the latest image
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docker-compose pull
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# Restart the image
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docker-compose up -d
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```
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This will first pull the latest image, and will then restart the container with the just pulled version.
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!!! Note
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!!! Warning "Check the Changelog"
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You should always check the changelog for breaking changes / manual interventions required and make sure the bot starts correctly after the update.
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#### Going from here
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Advanced users may edit the docker-compose file further to include all possible options or arguments.
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All possible freqtrade arguments will be available by running `docker-compose run --rm freqtrade <command> <optional arguments>`.
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!!! Note "`docker-compose run --rm`"
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Including `--rm` will clean up the container after completion, and is highly recommended for all modes except trading mode (running with `freqtrade trade` command).
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##### Example: Download data with docker-compose
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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.
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``` bash
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docker-compose run --rm freqtrade download-data --pairs ETH/BTC --exchange binance --days 5 -t 1h
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```
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Head over to the [Data Downloading Documentation](data-download.md) for more details on downloading data.
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##### Example: Backtest with docker-compose
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Run backtesting in docker-containers for SampleStrategy and specified timerange of historical data, on 5m timeframe:
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``` bash
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docker-compose run --rm freqtrade backtesting --config user_data/config.json --strategy SampleStrategy --timerange 20190801-20191001 -i 5m
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```
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Head over to the [Backtesting Documentation](backtesting.md) to learn more.
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#### Additional dependencies with docker-compose
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If your strategy requires dependencies not included in the default image (like [technical](https://github.com/freqtrade/technical)) - it will be necessary to build the image on your host.
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For this, please create a Dockerfile containing installation steps for the additional dependencies (have a look at [Dockerfile.technical](https://github.com/freqtrade/freqtrade/blob/develop/Dockerfile.technical) for an example).
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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.
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``` yaml
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image: freqtrade_custom
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build:
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context: .
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dockerfile: "./Dockerfile.<yourextension>"
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```
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You can then run `docker-compose build` to build the docker image, and run it using the commands described above.
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## Freqtrade with docker without docker-compose
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!!! Warning
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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](#freqtrade-with-docker-compose) instructions.
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### Download the official Freqtrade docker image
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Pull the image from docker hub.
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Branches / tags available can be checked out on [Dockerhub tags page](https://hub.docker.com/r/freqtradeorg/freqtrade/tags/).
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```bash
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docker pull freqtradeorg/freqtrade:develop
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# Optionally tag the repository so the run-commands remain shorter
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docker tag freqtradeorg/freqtrade:develop freqtrade
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```
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To update the image, simply run the above commands again and restart your running container.
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Should you require additional libraries, please [build the image yourself](#build-your-own-docker-image).
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!!! Note "Docker image update frequency"
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The official docker images with tags `master`, `develop` and `latest` are automatically rebuild once a week to keep the base image uptodate.
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In addition to that, every merge to `develop` will trigger a rebuild for `develop` and `latest`.
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### Prepare the configuration files
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Even though you will use docker, you'll still need some files from the github repository.
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#### Clone the git repository
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Linux/Mac/Windows with WSL
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```bash
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git clone https://github.com/freqtrade/freqtrade.git
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```
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Windows with docker
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```bash
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git clone --config core.autocrlf=input https://github.com/freqtrade/freqtrade.git
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```
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#### Copy `config.json.example` to `config.json`
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```bash
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cd freqtrade
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cp -n config.json.example config.json
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```
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> To understand the configuration options, please refer to the [Bot Configuration](configuration.md) page.
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#### Create your database file
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Production
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```bash
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touch tradesv3.sqlite
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````
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Dry-Run
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```bash
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touch tradesv3.dryrun.sqlite
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```
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!!! Note
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Make sure to use the path to this file when starting the bot in docker.
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### Build your own Docker image
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Best start by pulling the official docker image from dockerhub as explained [here](#download-the-official-docker-image) to speed up building.
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To add additional libraries to your docker image, best check out [Dockerfile.technical](https://github.com/freqtrade/freqtrade/blob/develop/Dockerfile.technical) which adds the [technical](https://github.com/freqtrade/technical) module to the image.
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```bash
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docker build -t freqtrade -f Dockerfile.technical .
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```
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If you are developing using Docker, use `Dockerfile.develop` to build a dev Docker image, which will also set up develop dependencies:
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```bash
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docker build -f Dockerfile.develop -t freqtrade-dev .
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```
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!!! Note
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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.
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#### Verify the Docker image
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After the build process you can verify that the image was created with:
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```bash
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docker images
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```
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The output should contain the freqtrade image.
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### Run the Docker image
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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):
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```bash
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docker run --rm -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
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```
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!!! Warning
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In this example, the database will be created inside the docker instance and will be lost when you will refresh your image.
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#### Adjust timezone
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By default, the container will use UTC timezone.
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Should you find this irritating please add the following to your docker commands:
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##### Linux
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``` bash
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-v /etc/timezone:/etc/timezone:ro
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# Complete command:
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docker run --rm -v /etc/timezone:/etc/timezone:ro -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
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```
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##### MacOS
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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.
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```bash
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docker run --rm -e TZ=`ls -la /etc/localtime | cut -d/ -f8-9` -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
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```
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More information on this docker issue and work-around can be read [here](https://github.com/docker/for-mac/issues/2396).
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### Run a restartable docker image
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To run a restartable instance in the background (feel free to place your configuration and database files wherever it feels comfortable on your filesystem).
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#### Move your config file and database
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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.
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```bash
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mkdir ~/.freqtrade
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mv config.json ~/.freqtrade
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mv tradesv3.sqlite ~/.freqtrade
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```
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#### Run the docker image
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```bash
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docker run -d \
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--name freqtrade \
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-v ~/.freqtrade/config.json:/freqtrade/config.json \
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-v ~/.freqtrade/user_data/:/freqtrade/user_data \
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-v ~/.freqtrade/tradesv3.sqlite:/freqtrade/tradesv3.sqlite \
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freqtrade trade --db-url sqlite:///tradesv3.sqlite --strategy MyAwesomeStrategy
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```
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!!! Note
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When using docker, it's best to specify `--db-url` explicitly to ensure that the database URL and the mounted database file match.
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!!! Note
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All available bot command line parameters can be added to the end of the `docker run` command.
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!!! Note
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You can define a [restart policy](https://docs.docker.com/config/containers/start-containers-automatically/) in docker. It can be useful in some cases to use the `--restart unless-stopped` flag (crash of freqtrade or reboot of your system).
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### Monitor your Docker instance
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You can use the following commands to monitor and manage your container:
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```bash
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docker logs freqtrade
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docker logs -f freqtrade
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docker restart freqtrade
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docker stop freqtrade
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docker start freqtrade
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```
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For more information on how to operate Docker, please refer to the [official Docker documentation](https://docs.docker.com/).
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!!! Note
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You do not need to rebuild the image for configuration changes, it will suffice to edit `config.json` and restart the container.
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### Backtest with docker
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The following assumes that the download/setup of the docker image have been completed successfully.
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Also, backtest-data should be available at `~/.freqtrade/user_data/`.
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```bash
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docker run -d \
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--name freqtrade \
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-v /etc/localtime:/etc/localtime:ro \
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-v ~/.freqtrade/config.json:/freqtrade/config.json \
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-v ~/.freqtrade/tradesv3.sqlite:/freqtrade/tradesv3.sqlite \
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-v ~/.freqtrade/user_data/:/freqtrade/user_data/ \
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freqtrade backtesting --strategy AwsomelyProfitableStrategy
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```
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Head over to the [Backtesting Documentation](backtesting.md) for more details.
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!!! Note
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Additional bot command line parameters can be appended after the image name (`freqtrade` in the above example).
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@ -0,0 +1,44 @@
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#### Editing the docker-compose file
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Advanced users may edit the docker-compose file further to include all possible options or arguments.
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All possible freqtrade arguments will be available by running `docker-compose run --rm freqtrade <command> <optional arguments>`.
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!!! Note "`docker-compose run --rm`"
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Including `--rm` will clean up the container after completion, and is highly recommended for all modes except trading mode (running with `freqtrade trade` command).
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##### Example: Download data with docker-compose
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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.
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``` bash
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docker-compose run --rm freqtrade download-data --pairs ETH/BTC --exchange binance --days 5 -t 1h
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```
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Head over to the [Data Downloading Documentation](data-download.md) for more details on downloading data.
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##### Example: Backtest with docker-compose
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Run backtesting in docker-containers for SampleStrategy and specified timerange of historical data, on 5m timeframe:
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``` bash
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docker-compose run --rm freqtrade backtesting --config user_data/config.json --strategy SampleStrategy --timerange 20190801-20191001 -i 5m
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```
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Head over to the [Backtesting Documentation](backtesting.md) to learn more.
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#### Additional dependencies with docker-compose
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If your strategy requires dependencies not included in the default image (like [technical](https://github.com/freqtrade/technical)) - it will be necessary to build the image on your host.
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For this, please create a Dockerfile containing installation steps for the additional dependencies (have a look at [Dockerfile.technical](https://github.com/freqtrade/freqtrade/blob/develop/Dockerfile.technical) for an example).
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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.
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``` yaml
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image: freqtrade_custom
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build:
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context: .
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dockerfile: "./Dockerfile.<yourextension>"
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```
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You can then run `docker-compose build` to build the docker image, and run it using the commands described above.
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|
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@ -79,6 +79,20 @@ This option will hard reset your branch (only if you are on either `master` or `
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|||
|
||||
DEPRECATED - use `freqtrade new-config -c config.json` instead.
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|
||||
### MacOS installation error
|
||||
|
||||
Newer versions of MacOS may have installation failed with errors like `error: command 'g++' failed with exit status 1`.
|
||||
|
||||
This error will require explicit installation of the SDK Headers, which are not installed by default in this version of MacOS.
|
||||
For MacOS 10.14, this can be accomplished with the below command.
|
||||
|
||||
``` bash
|
||||
open /Library/Developer/CommandLineTools/Packages/macOS_SDK_headers_for_macOS_10.14.pkg
|
||||
```
|
||||
|
||||
If this file is inexistant, then you're probably on a different version of MacOS, so you may need to consult the internet for specific resolution details.
|
||||
|
||||
|
||||
------
|
||||
|
||||
## Custom Installation
|
||||
|
|
@ -89,36 +103,44 @@ OS Specific steps are listed first, the [Common](#common) section below is neces
|
|||
!!! Note
|
||||
Python3.6 or higher and the corresponding pip are assumed to be available.
|
||||
|
||||
### Linux - Ubuntu 16.04
|
||||
=== "Ubuntu 16.04"
|
||||
#### Install necessary dependencies
|
||||
|
||||
#### Install necessary dependencies
|
||||
```bash
|
||||
sudo apt-get update
|
||||
sudo apt-get install build-essential git
|
||||
```
|
||||
|
||||
```bash
|
||||
sudo apt-get update
|
||||
sudo apt-get install build-essential git
|
||||
```
|
||||
=== "RaspberryPi/Raspbian"
|
||||
The following assumes the latest [Raspbian Buster lite image](https://www.raspberrypi.org/downloads/raspbian/) from at least September 2019.
|
||||
This image comes with python3.7 preinstalled, making it easy to get freqtrade up and running.
|
||||
|
||||
### Raspberry Pi / Raspbian
|
||||
Tested using a Raspberry Pi 3 with the Raspbian Buster lite image, all updates applied.
|
||||
|
||||
The following assumes the latest [Raspbian Buster lite image](https://www.raspberrypi.org/downloads/raspbian/) from at least September 2019.
|
||||
This image comes with python3.7 preinstalled, making it easy to get freqtrade up and running.
|
||||
``` bash
|
||||
sudo apt-get install python3-venv libatlas-base-dev
|
||||
git clone https://github.com/freqtrade/freqtrade.git
|
||||
cd freqtrade
|
||||
|
||||
Tested using a Raspberry Pi 3 with the Raspbian Buster lite image, all updates applied.
|
||||
bash setup.sh -i
|
||||
```
|
||||
|
||||
``` bash
|
||||
sudo apt-get install python3-venv libatlas-base-dev
|
||||
git clone https://github.com/freqtrade/freqtrade.git
|
||||
cd freqtrade
|
||||
!!! Note "Installation duration"
|
||||
Depending on your internet speed and the Raspberry Pi version, installation can take multiple hours to complete.
|
||||
|
||||
bash setup.sh -i
|
||||
```
|
||||
!!! Note
|
||||
The above does not install hyperopt dependencies. To install these, please use `python3 -m pip install -e .[hyperopt]`.
|
||||
We do not advise to run hyperopt on a Raspberry Pi, since this is a very resource-heavy operation, which should be done on powerful machine.
|
||||
|
||||
!!! Note "Installation duration"
|
||||
Depending on your internet speed and the Raspberry Pi version, installation can take multiple hours to complete.
|
||||
=== "Anaconda"
|
||||
Freqtrade can also be installed using Anaconda (or Miniconda).
|
||||
|
||||
!!! Note
|
||||
The above does not install hyperopt dependencies. To install these, please use `python3 -m pip install -e .[hyperopt]`.
|
||||
We do not advise to run hyperopt on a Raspberry Pi, since this is a very resource-heavy operation, which should be done on powerful machine.
|
||||
!!! Note
|
||||
This requires the [ta-lib](#1-install-ta-lib) C-library to be installed first. See below.
|
||||
|
||||
``` bash
|
||||
conda env create -f environment.yml
|
||||
```
|
||||
|
||||
### Common
|
||||
|
||||
|
|
@ -169,11 +191,6 @@ Clone the git repository:
|
|||
```bash
|
||||
git clone https://github.com/freqtrade/freqtrade.git
|
||||
cd freqtrade
|
||||
```
|
||||
|
||||
Optionally checkout the master branch to get the latest stable release:
|
||||
|
||||
```bash
|
||||
git checkout master
|
||||
```
|
||||
|
||||
|
|
@ -212,83 +229,6 @@ On Linux, as an optional post-installation task, you may wish to setup the bot t
|
|||
|
||||
------
|
||||
|
||||
## Using Conda
|
||||
|
||||
Freqtrade can also be installed using Anaconda (or Miniconda).
|
||||
|
||||
``` bash
|
||||
conda env create -f environment.yml
|
||||
```
|
||||
|
||||
!!! Note
|
||||
This requires the [ta-lib](#1-install-ta-lib) C-library to be installed first.
|
||||
|
||||
## Windows
|
||||
|
||||
We recommend that Windows users use [Docker](docker.md) as this will work much easier and smoother (also more secure).
|
||||
|
||||
If that is not possible, try using the Windows Linux subsystem (WSL) - for which the Ubuntu instructions should work.
|
||||
If that is not available on your system, feel free to try the instructions below, which led to success for some.
|
||||
|
||||
### Install freqtrade manually
|
||||
|
||||
!!! Note
|
||||
Make sure to use 64bit Windows and 64bit Python to avoid problems with backtesting or hyperopt due to the memory constraints 32bit applications have under Windows.
|
||||
|
||||
!!! Hint
|
||||
Using the [Anaconda Distribution](https://www.anaconda.com/distribution/) under Windows can greatly help with installation problems. Check out the [Conda section](#using-conda) in this document for more information.
|
||||
|
||||
#### Clone the git repository
|
||||
|
||||
```bash
|
||||
git clone https://github.com/freqtrade/freqtrade.git
|
||||
```
|
||||
|
||||
#### Install ta-lib
|
||||
|
||||
Install ta-lib according to the [ta-lib documentation](https://github.com/mrjbq7/ta-lib#windows).
|
||||
|
||||
As compiling from source on windows has heavy dependencies (requires a partial visual studio installation), there is also a repository of unofficial precompiled windows Wheels [here](https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib), which needs to be downloaded and installed using `pip install TA_Lib‑0.4.18‑cp38‑cp38‑win_amd64.whl` (make sure to use the version matching your python version)
|
||||
|
||||
```cmd
|
||||
>cd \path\freqtrade-develop
|
||||
>python -m venv .env
|
||||
>.env\Scripts\activate.bat
|
||||
REM optionally install ta-lib from wheel
|
||||
REM >pip install TA_Lib‑0.4.18‑cp38‑cp38‑win_amd64.whl
|
||||
>pip install -r requirements.txt
|
||||
>pip install -e .
|
||||
>freqtrade
|
||||
```
|
||||
|
||||
> Thanks [Owdr](https://github.com/Owdr) for the commands. Source: [Issue #222](https://github.com/freqtrade/freqtrade/issues/222)
|
||||
|
||||
#### Error during installation under Windows
|
||||
|
||||
``` bash
|
||||
error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": http://landinghub.visualstudio.com/visual-cpp-build-tools
|
||||
```
|
||||
|
||||
Unfortunately, many packages requiring compilation don't provide a pre-build wheel. It is therefore mandatory to have a C/C++ compiler installed and available for your python environment to use.
|
||||
|
||||
The easiest way is to download install Microsoft Visual Studio Community [here](https://visualstudio.microsoft.com/downloads/) and make sure to install "Common Tools for Visual C++" to enable building c code on Windows. Unfortunately, this is a heavy download / dependency (~4Gb) so you might want to consider WSL or [docker](docker.md) first.
|
||||
|
||||
---
|
||||
|
||||
Now you have an environment ready, the next step is
|
||||
[Bot Configuration](configuration.md).
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### MacOS installation error
|
||||
|
||||
Newer versions of MacOS may have installation failed with errors like `error: command 'g++' failed with exit status 1`.
|
||||
|
||||
This error will require explicit installation of the SDK Headers, which are not installed by default in this version of MacOS.
|
||||
For MacOS 10.14, this can be accomplished with the below command.
|
||||
|
||||
``` bash
|
||||
open /Library/Developer/CommandLineTools/Packages/macOS_SDK_headers_for_macOS_10.14.pkg
|
||||
```
|
||||
|
||||
If this file is inexistant, then you're probably on a different version of MacOS, so you may need to consult the internet for specific resolution details.
|
||||
|
|
|
|||
|
|
@ -0,0 +1,49 @@
|
|||
We **strongly** recommend that Windows users use [Docker](docker.md) as this will work much easier and smoother (also more secure).
|
||||
|
||||
If that is not possible, try using the Windows Linux subsystem (WSL) - for which the Ubuntu instructions should work.
|
||||
Otherwise, try the instructions below.
|
||||
|
||||
## Install freqtrade manually
|
||||
|
||||
!!! Note
|
||||
Make sure to use 64bit Windows and 64bit Python to avoid problems with backtesting or hyperopt due to the memory constraints 32bit applications have under Windows.
|
||||
|
||||
!!! Hint
|
||||
Using the [Anaconda Distribution](https://www.anaconda.com/distribution/) under Windows can greatly help with installation problems. Check out the [Conda section](#using-conda) in this document for more information.
|
||||
|
||||
### 1. Clone the git repository
|
||||
|
||||
```bash
|
||||
git clone https://github.com/freqtrade/freqtrade.git
|
||||
```
|
||||
|
||||
### 2. Install ta-lib
|
||||
|
||||
Install ta-lib according to the [ta-lib documentation](https://github.com/mrjbq7/ta-lib#windows).
|
||||
|
||||
As compiling from source on windows has heavy dependencies (requires a partial visual studio installation), there is also a repository of unofficial precompiled windows Wheels [here](https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib), which needs to be downloaded and installed using `pip install TA_Lib‑0.4.18‑cp38‑cp38‑win_amd64.whl` (make sure to use the version matching your python version)
|
||||
|
||||
```cmd
|
||||
>cd \path\freqtrade-develop
|
||||
>python -m venv .env
|
||||
>.env\Scripts\activate.bat
|
||||
REM optionally install ta-lib from wheel
|
||||
REM >pip install TA_Lib‑0.4.18‑cp38‑cp38‑win_amd64.whl
|
||||
>pip install -r requirements.txt
|
||||
>pip install -e .
|
||||
>freqtrade
|
||||
```
|
||||
|
||||
> Thanks [Owdr](https://github.com/Owdr) for the commands. Source: [Issue #222](https://github.com/freqtrade/freqtrade/issues/222)
|
||||
|
||||
### Error during installation on Windows
|
||||
|
||||
``` bash
|
||||
error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": http://landinghub.visualstudio.com/visual-cpp-build-tools
|
||||
```
|
||||
|
||||
Unfortunately, many packages requiring compilation don't provide a pre-build wheel. It is therefore mandatory to have a C/C++ compiler installed and available for your python environment to use.
|
||||
|
||||
The easiest way is to download install Microsoft Visual Studio Community [here](https://visualstudio.microsoft.com/downloads/) and make sure to install "Common Tools for Visual C++" to enable building c code on Windows. Unfortunately, this is a heavy download / dependency (~4Gb) so you might want to consider WSL or [docker](docker.md) first.
|
||||
|
||||
---
|
||||
|
|
@ -0,0 +1,201 @@
|
|||
## Freqtrade with docker without docker-compose
|
||||
|
||||
!!! Warning
|
||||
The below documentation is provided for completeness and assumes that you are familiar with running docker containers. If you're just starting out with Docker, we recommend to follow the [Quickstart](docker.md) instructions.
|
||||
|
||||
### Download the official Freqtrade docker image
|
||||
|
||||
Pull the image from docker hub.
|
||||
|
||||
Branches / tags available can be checked out on [Dockerhub tags page](https://hub.docker.com/r/freqtradeorg/freqtrade/tags/).
|
||||
|
||||
```bash
|
||||
docker pull freqtradeorg/freqtrade:master
|
||||
# Optionally tag the repository so the run-commands remain shorter
|
||||
docker tag freqtradeorg/freqtrade:master 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](#build-your-own-docker-image).
|
||||
|
||||
!!! 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
|
||||
|
||||
```bash
|
||||
git clone https://github.com/freqtrade/freqtrade.git
|
||||
```
|
||||
|
||||
Windows with docker
|
||||
|
||||
```bash
|
||||
git clone --config core.autocrlf=input https://github.com/freqtrade/freqtrade.git
|
||||
```
|
||||
|
||||
#### Copy `config.json.example` to `config.json`
|
||||
|
||||
```bash
|
||||
cd freqtrade
|
||||
cp -n config.json.example config.json
|
||||
```
|
||||
|
||||
> To understand the configuration options, please refer to the [Bot Configuration](configuration.md) page.
|
||||
|
||||
#### Create your database file
|
||||
|
||||
=== "Dry-Run"
|
||||
``` bash
|
||||
touch tradesv3.dryrun.sqlite
|
||||
```
|
||||
|
||||
=== "Production"
|
||||
``` bash
|
||||
touch tradesv3.sqlite
|
||||
```
|
||||
|
||||
|
||||
!!! Warning Database File Path
|
||||
Make sure to use the path to the correct database 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](#download-the-official-docker-image) to speed up building.
|
||||
|
||||
To add additional libraries to your docker image, best check out [Dockerfile.technical](https://github.com/freqtrade/freqtrade/blob/develop/Dockerfile.technical) which adds the [technical](https://github.com/freqtrade/technical) module to the image.
|
||||
|
||||
```bash
|
||||
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:
|
||||
|
||||
```bash
|
||||
docker build -f Dockerfile.develop -t freqtrade-dev .
|
||||
```
|
||||
|
||||
!!! Warning Include your config file manually
|
||||
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 [5. Run a restartable docker image](#run-a-restartable-docker-image)") to keep it between updates.
|
||||
|
||||
#### Verify the Docker image
|
||||
|
||||
After the build process you can verify that the image was created with:
|
||||
|
||||
```bash
|
||||
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):
|
||||
|
||||
```bash
|
||||
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 refresh your image.
|
||||
|
||||
#### Adjust timezone
|
||||
|
||||
By default, the container will use UTC timezone.
|
||||
If you would like to change the timezone use the following commands:
|
||||
|
||||
=== "Linux"
|
||||
``` bash
|
||||
-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"
|
||||
```bash
|
||||
docker run --rm -e TZ=`ls -la /etc/localtime | cut -d/ -f8-9` -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
|
||||
```
|
||||
|
||||
!!! Note MacOS Issues
|
||||
The OSX Docker versions after 17.09.1 have a known issue whereby `/etc/localtime` cannot be shared causing Docker to not start.<br>
|
||||
A work-around for this is to start with the MacOS command above
|
||||
More information on this docker issue and work-around can be read [here](https://github.com/docker/for-mac/issues/2396).
|
||||
|
||||
### 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).
|
||||
|
||||
#### 1. 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.
|
||||
|
||||
```bash
|
||||
mkdir ~/.freqtrade
|
||||
mv config.json ~/.freqtrade
|
||||
mv tradesv3.sqlite ~/.freqtrade
|
||||
```
|
||||
|
||||
#### 2. Run the docker image
|
||||
|
||||
```bash
|
||||
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](https://docs.docker.com/config/containers/start-containers-automatically/) 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:
|
||||
|
||||
```bash
|
||||
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](https://docs.docker.com/).
|
||||
|
||||
!!! 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/`.
|
||||
|
||||
```bash
|
||||
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](backtesting.md) for more details.
|
||||
|
||||
!!! Note
|
||||
Additional bot command line parameters can be appended after the image name (`freqtrade` in the above example).
|
||||
10
mkdocs.yml
10
mkdocs.yml
|
|
@ -1,8 +1,13 @@
|
|||
site_name: Freqtrade
|
||||
nav:
|
||||
- Home: index.md
|
||||
- Installation Docker: docker.md
|
||||
- Installation: installation.md
|
||||
- Installation Docker:
|
||||
- Quickstart: docker.md
|
||||
- Freqtrade with Docker Compose (Advanced): docker_compose.md
|
||||
- Freqtrade without docker-compose: without_docker_compose.md
|
||||
- Installation:
|
||||
- Linux/MacOS/Raspberry: installation.md
|
||||
- Windows: windows_installation.md
|
||||
- Freqtrade Basics: bot-basics.md
|
||||
- Configuration: configuration.md
|
||||
- Strategy Customization: strategy-customization.md
|
||||
|
|
@ -59,6 +64,7 @@ markdown_extensions:
|
|||
- pymdownx.magiclink
|
||||
- pymdownx.mark
|
||||
- pymdownx.smartsymbols
|
||||
- pymdownx.tabbed
|
||||
- pymdownx.superfences
|
||||
- pymdownx.tasklist:
|
||||
custom_checkbox: true
|
||||
|
|
|
|||
Loading…
Reference in New Issue