/openalgo

Open Source Algo Trading Platform for Everyone

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

OpenAlgo - Take Control of Your Algo Platform

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.

Supported Broker

  • AngelOne

Features

  • 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.

Documentation

For detailed documentation on OpenAlgo, including setup guides, API references, and usage examples, refer to the docs folder within the repository.

Contributing

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.

License

OpenAlgo is released under the GPL V3.0 License. See the LICENSE file for more details.

Contact

For support, feature requests, or to contribute further, please contact us via GitHub issues.


Getting Started with OpenAlgo

Installation Procedure

Prerequisites

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).

Setup

  1. Install VS Code Extensions: Open VS Code, navigate to the Extensions section on the left tab, and install the Python, Pylance, and Jupyter extensions.
  2. Clone the Repository: Open the VS Code Terminal and clone the OpenAlgo repository with the command:

git clone https://github.com/marketcalls/openalgo

  1. 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.

  1. 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.

  1. 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.

Accessing OpenAlgo

After completing the setup, access the OpenAlgo platform by navigating to http://127.0.0.1:5000 in your web browser. Log in using the credentials you defined in the .env file.

Connecting Trading Platforms

You can now connect your Amibroker and Tradingview modules to transmit orders, and use the Flask application to monitor trades.

Generate the APP API Key

Goto the API Key Section and Generate the APP API Key. And use it to placeorder from your trading applicaton

Place Order

Sample Place Order with the /api/v1/placeorder which can be used with any trading platforms to place orders { "apikey":"<your_app_apikey>", "strategy:"Test Strategy", "symbol":"SAIL-EQ", "action":"BUY", "exchange":"NSE", "pricetype":"MARKET", "product":"MIS", "quantity":"1" }

Full Sample API Request

{ "apikey": "your_app_apikey", "strategy": "Test Strategy", "exchange": "NSE", "symbol": "BHEL-EQ", "action": "BUY", "product": "MIS", "pricetype": "MARKET", "quantity": "1", "price": "0", "trigger_price": "0", "disclosed_quantity": "0", }

Parameters Description

Parameters Description Mandatory/Optional Default Value
apikey App API key Mandatory -
strategy Strategy name Mandatory -
exchange Exchange code Mandatory -
symbol Trading symbol Mandatory -
action Action (BUY/SELL) Mandatory -
product Product type Optional MIS
pricetype Price type Optional MARKET
quantity Quantity Mandatory -
price Price Optional 0
trigger_price Trigger price Optional 0
disclosed_quantity Disclosed quantity Optional 0

Place Smart Order

Sample Place Order with the /api/v1/placesmartorder which can be used with any trading platforms to place orders based on the open position { "apikey":"<your_app_apikey>", "strategy:"Test Strategy", "symbol":"IDEA-EQ", "action":"BUY", "exchange":"NSE", "pricetype":"MARKET", "product":"MIS", "quantity":"0", "position_size": "5" }

Full Sample API Request

{ "apikey": "your_app_apikey", "strategy": "Test Strategy", "exchange": "NSE", "symbol": "IDEA-EQ", "action": "BUY", "product": "MIS", "pricetype": "MARKET", "quantity": "1", "position_size": "5" "price": "0", "trigger_price": "0", "disclosed_quantity": "0", }

Parameters Description

Parameters Description Mandatory/Optional Default Value
apikey App API key Mandatory -
strategy Strategy name Mandatory -
exchange Exchange code Mandatory -
symbol Trading symbol Mandatory -
action Action (BUY/SELL) Mandatory -
product Product type Optional MIS
pricetype Price type Optional MARKET
quantity Quantity Mandatory -
position_size Position Size Mandatory -
price Price Optional 0
trigger_price Trigger price Optional 0
disclosed_quantity Disclosed quantity Optional 0

How Place Smart Order Works?

PlaceSmartOrder API function, which allows traders to build intelligent trading systems that can automatically place orders based on existing trade positions in the position book.

Action Qty (API) Pos Size (API) Current Open Pos Action by OpenAlgo
BUY 100 0 0 No Open Pos Found. Buy +100 qty
BUY 100 100 -100 BUY 200 to match Open Pos in API Param
BUY 100 100 100 No Action. Position matched
BUY 100 200 100 BUY 100 to match Open Pos in API Param
SELL 100 0 0 No Open Pos Found. SELL 100 qty
SELL 100 -100 +100 SELL 200 to match Open Pos in API Param
SELL 100 -100 -100 No Action. Position matched
SELL 100 -200 -100 SELL 100 to match Open Pos in API Param

Order Constants

Exchange

  • NSE: NSE Equity
  • NFO: NSE Futures & Options
  • CDS: NSE Currency
  • BSE: BSE Equity
  • BFO: BSE Futures & Options
  • BCD: BSE Currency
  • MCX: MCX Commodity
  • NCDEX: NCDEX Commodity

Product Type

  • CNC: Cash & Carry for equity
  • NRML: Normal for futures and options
  • MIS: Intraday Squareoff

Price Type

  • MARKET: Market Order
  • LIMIT: Limit Order
  • SL: Stop Loss Limit Order
  • SL-M: Stop Loss Market Order

Action

  • BUY: Buy
  • SELL: Sell

AMO

  • YES: Yes
  • NO: No

NGROK Configuration

If in case you are hosting in your local server / Windows Desktop/Laptop then one can try NGROK and configure the domain name to Send Trading Alerts from Tradingview, Google Docs, ChartInk or any external web application

For Configuration Instructions Visit the Tutorial https://www.marketcalls.in/python/host-your-python-flask-web-application-using-pyngrok-and-ngrok-free-domain.html

Congratulations! You have successfully set up OpenAlgo. Explore the platform and start maximizing your trading performance through automation.