Stock Trading Simulation

A web-based stock trading simulation platform built with Flask, implementing the CS50x Finance project specifications. This application enables users to manage virtual stock portfolios using real-time market data.

Overview

The application provides a simulated trading environment where users can:

• Manage virtual investment portfolios
• Execute mock stock trades
• Track real-time stock values
• Monitor transaction history
• Analyze portfolio performance

Features

• User authentication system
• Real-time stock quotes via IEX Cloud API
• Virtual trading with $10,000 starting capital
• Portfolio management dashboard
• Transaction logging and history
• Responsive web interface

Technical Stack

• Python/Flask
• SQLite Database
• HTML/CSS/JavaScript
• Bootstrap Framework
• IEX Cloud API Integration

Installation

git clone [repository-url]
cd stock-trading-simulation
pip install -r requirements.txt
export API_KEY=your_iex_cloud_api_key
flask run

Project Structure

• /static - CSS and JavaScript assets
• /templates - HTML templates
• app.py - Main application logic
• helpers.py - Utility functions
• finance.db - SQLite database

Implementation Notes

This project was developed as part of Harvard's CS50x coursework, implementing core trading functionalities while maintaining security and efficiency. The system uses real-time data to simulate market conditions and trading mechanics.

Credits

Developed as part of Harvard University's CS50x curriculum. API services provided by IEX Cloud.