RyanAngJY/CS3244-Predicting-Direction-of-Stock-Prices

Traditionally, stock price movements are hard to predict. Our project aims to predict the direction of stock prices based on financial data and news headlines. As part of our research, we compare and evaluate different classification models while concurrently exploring different natural language processing techniques to utilize news headlines for model improvement.

Jupyter Notebook