Enhancing stock price prediction using machine learning techniques: a comparative analysis of ARIMA, LSTM with sentiment analysis, Transformers, and GPT-3

• Main Author: Agarwal, Anusha
• Other Authors: Long Cheng
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science
• Online Access: https://hdl.handle.net/10356/181161
• Institution: Nanyang Technological University

This project aims to explore the use of various machine learning techniques for predicting stock prices, focusing on Apple Inc. (AAPL) stock data from 2015 to 2019. Traditional models like ARIMA are compared with more advanced architectures, including Long Short-Term Memory (LSTM) networks and Trans...