TRADING TOMORROW: UNLOCKING STOCK MARKET TRENDS WITH MACHINE LEARNING.

Abstract

This research project focuses on applying machine learning techniques to predict stock market trends using historical data. The stock market is influenced by various complex factors, making accurate predictions challenging. By leveraging machine learning, especially models like regression, decision trees, and LSTM neural networks, we aim to identify patterns and forecast future price movements.