NeuroTrade

Video Demo: https://youtu.be/MCJp6WTDjXo?feature=shared

Description: An AI-powered stock trading simulation platform built as part of the CS50x: Introduction to Computer Science course. NeuroTrade mimics a real-time trading experience with features like stock quoting, portfolio tracking, and transaction history.

---

🚀 Features

• 🔐 User authentication (register/login/logout)
• 📈 Real-time stock lookup using IEX API
• 🛒 Buy & sell shares with live pricing
• 💼 View portfolio with current holdings and available cash
• 🕒 View transaction history
• ⚙️ Built with Python, Flask, SQLite, and Jinja2 templates

---

💻 Tech Stack

• Frontend: HTML, CSS, Jinja2 (Flask templates)
• Backend: Python, Flask
• Database: SQLite
• APIs: IEX Cloud for real-time stock prices

---

🏗️ Project Structure

NeuroTrade/ │ ├── app.py # Flask app and routing ├── helpers.py # Custom helper functions (e.g., API lookups) ├── finance.db # SQLite database ├── templates/ # HTML templates │ ├── layout.html │ ├── login.html │ ├── register.html │ ├── quote.html │ ├── buy.html │ ├── sell.html │ └── index.html ├── static/ # Optional CSS or image files └── README.md

---

🔐 Authentication & Sessions

• Uses Flask-Session to manage user sessions
• Passwords hashed securely with Werkzeug

---

📚 What I Learned

• How to build full-stack web apps with Flask and SQLite
• API integration (stock data from IEX)
• Session management and security in web apps
• Dynamic rendering using Jinja2 and Bootstrap

---

📦 Installation (Optional)

To run this locally:

git clone https://github.com/yourusername/NeuroTrade.git
cd NeuroTrade
pip install -r requirements.txt
flask run