Chatley, Geetika and Tripathi, Apurva and Hayat, Aman and Mandilwar, Aayush and Sharanaya, Tallapelli and Kumari, Muskan (2025) A Comprehensive Review of AI-Driven Techniques for Predicting Stock Market Trends. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II.
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Abstract
Stock market prediction is essential in providing investors and companies with data-driven financial decisions. An accurate prediction of stock prices significantly enhances profit potential while reducing investment risks, making it invaluable in modern finance. This paper explores the application
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 20:19 |
| Last Modified: | 16 Apr 2026 15:54 |
| URI: | http://eprints.eai.eu/id/eprint/60153 |
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