Deep Learning Tools for Predicting Stock Market Movements

7Stock Market Prediction Techniques and Artificial Intelligence

Jeevesh Sharma

School of Business and Commerce, Manipal University Jaipur, Jaipur, Rajasthan, India

Abstract

The financial market plays a vital role in the development of any economy. The secondary market of the financial market deals with the share market. The share market offers a long-term investment to investors by dealing in stocks, it is one of the most complex and well-developed forms of collaboration. This body is used by small businesses, organizations, and financial sectors to generate income and separation opportunities, which is a highly bizarre concept. One of the most significant activities in the field of finance is stock dealing. One of the key elements that determine the success of stock trading and investing is predictability. It offers superior financial advice, forecasting the direction of the stock market. It enables the investors to forecast the current and future status of the stocks. There are different techniques for predicting the stock market, including Bayesian models, fuzzy classifiers, artificial neural networks, support vector machine classifiers, neural networks, and machine learning techniques. In recent years, the growing importance of machine learning in many different industries has inspired many traders to use machine learning methods in their work. Some of these applications have shown very promising results. The outcomes of the chapter will contribute to the present knowledge ...