An end-to-end application that predicts stock price movements using sentiment analysis of financial news headlines. Powered by machine learning, NLP, and real-time data integration, this project offers investors a reliable tool for data-driven decision-making.

📈 Event-Driven Stock Prediction Using NLP & Machine Learning Predict stock price movement based on real-time news headlines using sentiment analysis and classification models (Random Forest, Logistic Regression). Combines Natural Language Processing (TextBlob, NLTK) with stock market forecasting logic.