StockSavvy 💹

StockSavvy: Streamlined Stock Trading and Finance

Welcome to StockSavvy, your streamlined Python and Flask-based web app for stock trading and finance management.

Overview

StockSavvy allows users to easily create an account, manage their portfolio, and trade stocks with intuitive features.

Features 🚀

• Account Management: Users can create accounts or log in securely.
• Portfolio Overview: View the current valuation of owned stocks alongside the cash balance.
• Stock Quoting: Easily search for stock prices using symbols via an intuitive API request.
• Buying and Selling: Seamlessly execute stock trades - buy or sell stocks effortlessly.
• Transaction History: Keep track of all transactions, displaying date, time, and price at that moment.
• Error Handling: Ensures a smooth experience by handling various errors:
  • Wrong stock symbols
  • Buying more stocks than the cash balance
  • Selling stocks in excess of what's owned
  • Incorrect login credentials
  • Registration with an existing username

Folder Structure

• 📁 static: Contains icons and CSS file
• 📁 templates: HTML files for different pages
  • apology.html: Error handling
  • buy.html: Stock buying page
  • history.html: Transaction history page
  • layout.html: Main home page
  • login.html: User login page
  • quote.html: Stock quote page
  • quoted.html: Display stock price after search
  • register.html: User registration page
  • sell.html: Stock selling page
• 📄 app.py: Flask app with sessions and routes
  • Uses session and database
  • Contains routes for HTML templates
• 📄 finance.db: Main database with tables for users, transactions, and portfolios
• 📄 helpers.py: Python module with functions and decorators
  • apology(), login_required(), lookup(), usd()

Requirements

• CS50
• Flask
• Flask_Session
• Requests
• Urllib
• UUID
• Pytz
• Functools
• CSV
• Datetime
• Werkzeug.security

Technology Used

Python Flask HTML CSS Bootstrap SQLite3 API

Screenshots

Overview: Visual representation of the stock trading web app.

Database: Track all past transactions, users, and portfolios with date, time, and prices.

Usage

1. Clone the repository.
2. Install required dependencies: pip install cs50 Flask Flask_Session requests pytz
3. Execute flask run.
4. Access the app through the provided localhost URL.

Feel free to contribute and enhance StockSavvy! 🚀📈💼