Stock Tracker WebSocket

A real-time stock tracking web application built with Django, Celery, Redis, and Django Channels.

This project demonstrates asynchronous task management and live data updates using WebSockets. Features

Real-time stock updates using WebSockets

Background task processing with Celery + Redis

Scalable and asynchronous architecture in Django

Clean separation of tasks, consumers, and views

Tech Stack

Backend: Django

Asynchronous Tasks: Celery

Message Broker: Redis

Real-Time Communication: Django Channels / WebSockets

Database: PostgreSQL / SQLite

Installation

1. Clone the repository

git clone https://github.com/your-username/Stock-Tracker-Websocket.git cd Stock-Tracker-Websocket

2. Create and activate a virtual environment

python3 -m venv .venv source .venv/bin/activate

3. Install dependencies

pip install -r requirements.txt

4. Configure Django settings

Update backend/settings.py with your database and Redis configuration. Running the Project

1. Start Redis server

redis-server

2. Start Celery worker

celery -A backend worker -l info

3. Start Django development server

python manage.py runserver

4. Start Django Channels (ASGI server)

daphne backend.asgi:application

Project Structure

backend/ # Django project folder core/ # App with consumers, tasks, views requirements.txt # Python dependencies

Usage

Connect to the WebSocket endpoint to receive live stock updates

Celery tasks fetch and process stock data in the background, sending real-time updates to connected clients

Contribution

Contributions are welcome!

Fork the repository

Create a branch for your feature or bugfix

Open a pull request

License

This project is licensed under the MIT License.