Project Details

This project explores the integration of market sentiment and price-based signals to generate trading insights for Apple (AAPL). It combines historical price data with financial news sentiment extracted using NLP techniques (VADER) to create an interpretable composite score that maps into BUY, HOLD, or SELL signals. The system demonstrates how sentiment analysis can complement traditional market data in building explainable, prototype-level trading decision tools.