Investigating the Use of Machine Learning and Deep Learning in Saudi Stock Marketing: A Systematic Review

Abstract

The Saudi Stock Exchange, known as Tadawul, plays a crucial role in the country's economy, providing a platform for companies to raise funds and investors to trade stocks. The traditional manual analysis became challenging as the market grew in complexity and volume. The advent of high-frequency trading increased the need for AI-powered systems to handle vast amounts of data and make quick investment decisions. In this systematic review, we investigate using Machine Learning and Deep Learning in the Saudi stock market. The review encompasses studies on AI applications, focusing on ML and DL, to analyze historical data, predict market trends, and manage risks effectively. We highlight the advantages and limitations of AI integration in this financial arena and discuss potential future directions. The research sheds light on how AI technologies have impacted decision-making processes, risk management techniques, and overall market dynamics in the Saudi stock market, enabling market players to make informed choices and enhance their investment strategies for better financial outcomes.