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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

Overview: Visual representation of the stock trading web app.

Database 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! 🚀📈💼