Deep Learning in Stock Market: Techniques, Purpose, and Challenges

In recent years, deep learning has witnessed a growing interest due to its ability to solve complex problems and offer accurate results. It has found wide applications in finance, particularly in the stock market. Stock market offers exciting challenges and opportunities for the applications of deep learning. Several techniques of deep learning are being applied to different stock market problems. More complex and hybrid neural networks are also being widely used to achieve better results. This chapter explores the applications of deep learning in the stock market, emphasizing the techniques and purposes for which these deep learning models are used. Further, it also provides insights into the challenges of deep learning models while applying them to stock market problems.