May 2024
Beginner to intermediate
496 pages
13h 15m
English
Content preview from Deep Learning Tools for Predicting Stock Market Movements
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10Revolutionizing Stock Market Predictions: Exploring the Role of Artificial Intelligence
Rajani H. Pillai* and Aatika Bi
School of Commerce, Mount Carmel College Autonomous, Bengaluru, Karnataka, India
Abstract
AI, or artificial intelligence, is widely used for data analysis, prediction, and decision-making. The stock market’s fluctuating pricing has made investors nervous. Market volatility does not mean investors cannot make money if they take the time to do their homework and make smart choices. AI is becoming increasingly important in this process due to its capacity to discern patterns and anticipate actions. When compared to traditional analysis approaches, AI excels because of its rapid processing of large datasets and the high degree of accuracy it provides. In light of this history, the purpose of the present research is to provide a comprehensive explanation of how AI aids in the forecasting of financial markets. In order to provide a solid theoretical foundation for future researchers to investigate the role of AI in stock prediction, this study conducts a systematic literature review analysis of the available works in this area. This research will add to the growing body of work on AI in financial markets, and investors stand to gain much from AI-based stock market projections.
Keywords: Artificial intelligence, stock markets, theoretical framework
10.1 Introduction
Since the debut of analytical modeling in finance in the 1990s [1], a significant amount of research ...
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