Trade Processing

A WIP of a full-stack application for real-time stock trading simulations and portfolio management. The project includes a FastAPI backend and a modern React (Vite) frontend, with integration to Firebase for authentication and messaging, and WebSockets for live market data streaming.

I built this as my take on the Build Basic Notifications for Messages challenge challenge on Backend Challenges in order to learn more about live data processing, Web Sockets and message queues. Currently paused to pursue other projects but may pick back up!

Current Features

• Real-time Market Data: Live updates of stock prices via WebSocket streams using yfinance package.
• User Authentication: Secure sign-up and login with Firebase Auth.
• Simulated Trading: Logic for buy and sell orders and tracking trade progress with simulated latency.
• Push Notifications: Enable real-time alerts for trade and portfolio events using Firebase Cloud Messaging.
• Stock Search: Lookup stocks and get symbol data via API.
• Responsive UI: Built with React, Tailwind CSS, and the Recharts library for data visualization.

Architecture

• Backend: Python FastAPI server providing REST endpoints and WebSocket APIs for market data and trade progress. Uses async SQLAlchemy, Firebase, and various Google Cloud libraries.
• Frontend: React (with Vite) single-page application. Handles authentication, data visualization, and user interactions.
• Messaging/Notifications: Firebase Cloud Messaging for push notifications.
• Database: Async SQLAlchemy models for user, trade, and portfolio data.

Tech Stack

• Backend: FastAPI, SQLAlchemy, Firebase Admin SDK, WebSockets, Uvicorn
• Frontend: React, Vite, Tailwind CSS, Recharts, Firebase JS SDK
• Notifications: Firebase Cloud Messaging