This is an attempt to create an autonomous market trading script using the IG REST API and any other available data source for market prices.
TradingBot is meant to be a "forever running" process that keeps analysing the markets taking actions whether some conditions are met. It is halfway from an academic project and a real useful piece of software, I guess I will see how it goes :)
The main goal of this project is to provide the capability to write a custom trading strategy with minimal effort. TradingBot handles all the boring stuff.
- Python 3.10+
- UV (only for development)
- Docker (optional)
Clone this repo and install TradingBot by running the following command from
the repository root folder
make install-systemLogin to your IG Index dashboard
- Obtain an API KEY from the settings panel
- If using the demo account, create demo credentials
- Take note of your spread betting account ID (demo or real)
- (Optional) Visit AlphaVantage website:
https://www.alphavantage.coand request a free api key - Insert these info in a file called
.credentials
This must be in json format
{
"username": "username",
"password": "password",
"api_key": "apikey",
"account_id": "accountId",
"av_api_key": "apiKey"
}- Copy the
.credentialsfile into the${HOME}/.TradingBot/configfolder - Revoke permissions to read the file from other users
cd config
sudo chmod 600 ${HOME}/.TradingBot/config/.credentialsThere are different ways to define which markets to analyse with TradinbgBot. You can select your preferred option in the configuration file under the market_source section:
- Local file
You can create a file epic_ids.txt containg IG epics of the companies you want to monitor.
You need to copy this file into the ${HOME}/.TradingBot/data folder.
- Watchlist
You can use an IG watchlist, TradingBot will analyse every market added to the selected watchlist
- API
TradingBot navigates the IG markets dynamically using the available API call to fetch epic ids.
The configuration file is in the config folder and it contains several configurable parameter to personalise
how TradingBot work. It is important to setup this file appropriately in order to avoid unexpected behaviours.
You can start TradingBot with
trading_bottrading_bot --close-positions [-c]You can use pip to uninstall TradingBot:
sudo pip3 uninstall TradingBotThe Makefile is the entrypoint for any development action.
uv handles the dependency management and the pyproject.toml contains the required
python packages.
Install uv and create the virtual environment:
cd /path/to/repository
make installYou can run the test from the workspace with:
make test
The Sphinx documentation contains further details about each TradingBot module with source code documentation of each class member. Explanation is provided regarding how to create your own Strategy and how to integrate it with the system.
Read the documentation at:
https://tradingbot.readthedocs.io
You can build it locally with:
make docsThe generated html files will be in docs/_build/html.
You can run TradingBot in a Docker container.
The Docker images are configured with a default TradingBot configuration and it
does not have any .credentials files.
You must mount these files when running the Docker container
The Docker images are available in the official Docker Hub.
Currently TradingBot supports both amd64 and arm64 architectures.
You can pull the Docker image directly from the Docker Hub.
Latest version:
docker pull ilcardella/tradingbot:latestYou can build the Docker image yourself using the Dockerfile in the docker folder:
cd /path/to/repo
make dockerAs mentioned above, it's important that you configure TradingBot before starting it.
Once the image is available you can run TradingBot in a Docker container mounting the configuration files:
docker run -d \
-v /path/to/trading_bot.toml:/.TradingBot/config/trading_bot.toml \
-v /path/to/.credentials:/.TradingBot/config/.credentials \
tradingbot:latestYou can also mount the log folder to store the logs on the host adding -v /host/folder:/.TradingBot/log