The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction

Abstract

The future is unknown and uncertain, but there are ways to predict future events and reap the rewards safely. One such opportunity is the application of machine learning and artificial intelligence for stock market prediction. The stock market is turbulent, yet using artificial intelligence to make calculated predictions is possible and advisable before investing. This study presents an overview of artificial intelligence and machine learning as predictive analytics tools in the stock market. We discuss the strengths and weaknesses of machine learning for stock market prediction and provide some insight into the opportunities and threats in applying advanced technologies for stock market prediction. We further study the applications of three machine learning technologies in the stock market prediction, including artificial neural networks, support vector machines, and long–short term memory.