Stock Prediction System (Stock Buddy)

Abstract

This paper presents a Stock Prediction System (StockBuddy) that leverages machine learning techniques to forecast future stock prices. By using historical data, technical indicators, and external factors like news sentiment, the system improves prediction accuracy. Backtesting demonstrates its effectiveness, offering a scalable and adaptable solution for real-time stock forecasting.