Investigating the use of artificial intelligence in financial forecasting

Thesis Abstract

This project aims to explore the potential of artificial intelligence (AI) in financial forecasting. Traditional financial forecasting methods often rely on historical data and statistical models, which may not capture the complex dynamics of financial markets. By leveraging AI techniques such as machine learning and deep learning, this study seeks to develop more accurate and robust forecasting models. The project will involve collecting financial data, preprocessing and analyzing the data, training and evaluating AI models, and comparing their performance with traditional forecasting methods. The findings of this research can have significant implications for financial institutions and investors in making informed decisions.