Completed

Financial Trading Platform

Duration: 2023 – 2024

Project Description

A full-stack trading platform enabling users to monitor market prices, execute simulated trades, track portfolios, and analyze real-time stock data feeds.


Objective

Provide students and learners with a safe platform to practice algorithmic and manual trading using live market data.


Outcome

Highly adopted in academic environments and financial learning groups for training and simulation purposes.


Technologies Used
Python Django PostgreSQL WebSockets

Key Features
Live Market Charts Simulated Portfolio Trading Watchlists News & Analytics Feed

Project Repository

For detailed code implementation and documentation, please access the project repository through the link below.

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Project Demo