Best Stock Market Price Tracker Using Django
Stock Market Price Tracker
About
This Real-Time Stock Market Price Checker is a web app made with Django and some cool backend stuff like Celery and Django-Channels. It lets you see live stock prices without even logging in, and it updates the data in real-time using WebSockets.The whole thing is built with clean code and is ready to use in real projects. It was made in India and is a solid starting point for anyone who wants to make or add live stock tracking features to a bigger app or website.
Project Overview
| Project Name | Stock Market Real-Time Price Tracker |
|---|---|
| Language/s Used | Python, HTML, CSS, JavaScript |
| Database | SQLite |
| Type | Web Application |
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Available Features
- No Authentication Required: Users can start tracking stocks immediately without signing up or logging in.
- Stock Selection: Select one or multiple stocks to watch.
- Real-Time Price Updates: Prices refresh in real-time using WebSockets.
- Stock Detail View: Each stock includes an option to view additional details.
- Session Tracking: Tracks selected stocks using Django sessions temporarily.
- Admin Access: Includes a test admin panel to explore session storage behavior.
- WebSocket-Powered Live Data: Implements Django-Channels for live communication.
- Queued Background Tasks: Celery with celery-beat schedules data fetching.
- Scalable Design: Modular backend design for future extension.
Technologies Used
- Django – Backend web framework.
- Celery – Handles background task management.
- Celery-Beat – Scheduler for periodic tasks.
- Redis/Memurai – Message broker and channel layer backend.
- Django-Channels – WebSocket-based real-time data delivery.
- SQLite – Temporary session and data storage.
- Django Template Language (DTL) – For dynamic frontend rendering.
- JavaScript – Adds interactivity and enhances real-time functionality.
- Bootstrap 5 – For responsive and polished UI design.
- FontAwesome – For professional-grade icons.
- HTML/CSS – For structuring and styling templates.
How to Run This Application on Local Server (Windows)
⚠️ First, create and activate a virtual environment:
Create virtual environment
python -m venv env
Activate it (for Command Prompt)
env\Scripts\activate
Then run the following commands in separate terminals:
- Run the Django Development Server:
python manage.py runserver - Start the Celery Worker:
celery -A stockmarket.celery worker –pool=solo -l info - Start the Celery Beat Scheduler:
celery -A stockmarket beat -l INFO - (Optional) Purge Old Tasks in the Queue:
celery -A stockmarket purge -f
Admin Credentials (For Testing Purpose)
- Admin Username:
admin - Admin Password:
admin
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