OpenAlgo is an open-source, Flask-based Python application designed to bridge the gap between traders and major trading platforms such as Amibroker, Tradingview, Excel, and Google Spreadsheets. With a focus on simplifying algotrading, OpenAlgo facilitates easy integration, automation, and execution of trading strategies, providing a user-friendly interface to enhance trading performance.
- AngelOne
- Dhan
- Fyers
- Upstox
- Zerodha
- Comprehensive Integration: Seamlessly connect with Amibroker, Tradingview, Excel, and Google Spreadsheets for smooth data and strategy transition.
- User-Friendly Interface: A straightforward Flask-based application interface accessible to traders of all levels of expertise.
- Real-Time Execution: Implement your trading strategies in real time, ensuring immediate action to capitalize on market opportunities.
- Customizable Strategies: Easily adapt and tailor your trading strategies to meet your specific needs, with extensive options for customization and automation.
- Secure and Reliable: With a focus on security and reliability, OpenAlgo provides a dependable platform for your algotrading activities, safeguarding your data and trades.
For detailed documentation on OpenAlgo, including setup guides, API references, and usage examples, refer to https://docs.openalgo.in
We welcome contributions to OpenAlgo! If you're interested in improving the application or adding new features, please feel free to fork the repository, make your changes, and submit a pull request.
OpenAlgo is released under the GPL V3.0 License. See the LICENSE file for more details.
For support, feature requests, or to contribute further, please contact us via GitHub issues.
Before we begin, ensure you have the following:
- Visual Studio Code (VS Code) installed on Windows.
- Python version 3.10 or 3.11 installed.
- Git for cloning the repository (Download from https://git-scm.com/downloads).
- Install VS Code Extensions: Open VS Code, navigate to the Extensions section on the left tab, and install the Python, Pylance, and Jupyter extensions.
- Clone the Repository: Open the VS Code Terminal and clone the OpenAlgo repository with the command:
git clone https://github.com/marketcalls/openalgo
- Install Dependencies:
Windows users Navigate to the directory where OpenAlgo is cloned and execute:
pip install -r requirements.txt
Linux/Nginx users Navigate to the directory where OpenAlgo is cloned and execute:
pip install -r requirements-nginx.txt
to install the necessary Python libraries.
- Configure Environment Variables:
Rename the .sample.env file located in openalgo folder to .env
Update the .env with your specific configurations as shown in the provided template.
- Run the Application:
From the openalgo directory, start the Flask application with the command:
python app.py
If you are using nginx it is recommded to execute using gunicorn with
eventlet or gevent (in this app we are using eventlet).
gunicorn --worker-class eventlet -w 1 app:app
In case of running using Gunicorn, -w 1 specifies that you should only use one worker process. This is important because WebSocket connections are persistent and stateful; having more than one worker would mean that a user could be switched between different workers, which would break the connection.
After completing the setup, access the OpenAlgo platform by navigating to http://127.0.0.1:5000 in your web browser. Setup the account using http://127.0.0.1:5000/setup Login into openalgo with the credentials and start using OpenAlgo for Automation.
You can now connect your Amibroker and Tradingview modules to transmit orders, and use the Flask application to monitor trades.
Goto the API Key Section and Generate the APP API Key. And use it to placeorder from your trading applicaton
For Configuration Instructions Visit the Tutorial https://docs.openalgo.in
Congratulations! You have successfully set up OpenAlgo. Explore the platform and start maximizing your trading performance through automation.
