StockTracker is a web application that allows users to track their stock transactions, buy stocks, analyze historical data, and predict future stock prices using LSTM and ARIMA models.
- User authentication: Users can sign up, sign in, and sign out of their accounts.
- Stock tracking: Users can view and track their stock transactions, including buying and selling stocks.
- Stock purchase: Users can select stocks and buy them through the application.
- Historical data analysis: Users can analyze historical stock data to gain insights and make informed investment decisions.
- Stock price prediction: The application uses LSTM and ARIMA models to predict future stock prices based on historical data.
- Front-end: HTML, CSS
- Back-end: Python, Django framework
- Data analysis: LSTM model, ARIMA model
- Database: MySQL