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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8Prediction of Stock Market Using Artificial Intelligence Application
Shaina Arora1*, Anand Pandey1 and Kamal Batta2
1UITHM, Chandigarh University, Mohali, Punjab, India
2MBA-APEX, Chandigarh University, Mohali, Punjab, India
Abstract
Artificial intelligence (AI) has become a pervasive technology, with free downloadable AI programs aiding stock market trading by assisting traders in making more informed decisions. These AI systems offer valuable assistance to both buyers and sellers in predicting market directions. These applications have already improved stock market efficiency, enhancing investors’ decision-making processes. AI technology plays a pivotal role in various fields and drives innovation, including stock market analysis. This article focuses on AI-powered apps for forecasting stock markets, detailing their current and potential future scope. Each characteristic is explored deeply, encompassing data collection, analysis, and outcomes. The study also delves into the potential trajectories and impacts of these applications within stock market research. The conclusion underscores not only the findings but also the potential far-reaching consequences of these applications. By harnessing vast data, AI-driven programs simplify stock market prediction due to their understanding of market intricacies. This investigation seeks to answer pivotal questions about AI’s role in shaping stock market insights and its evolving influence in the realm of financial analysis.
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