Thesis Abstract

This project aims to explore the potential of artificial intelligence (AI) techniques in financial forecasting. Accurate financial forecasting is crucial for businesses and investors to make informed decisions. Traditional forecasting methods often rely on historical data and statistical models, which may not capture complex patterns and dynamic market conditions. The objective of this project is to investigate how AI algorithms, such as machine learning and neural networks, can be applied to financial data to improve forecasting accuracy. The research will involve collecting financial data, training and testing AI models, and comparing their performance with traditional forecasting methods. The findings of this project will provide insights into the effectiveness of AI in financial forecasting and its potential applications in the finance industry.

Thesis Overview