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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM37965
Volume:
8 |
10 |
Oct 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The ever-changing dynamics of the stock market investments require taking well-informed decisions. This would be possible only if one forecasts the future trends with reasonable certainty. Predictive analysis is perhaps the best tool that has entered the fray of finance analysts, data scientists, and investors. This guide explores cutting-edge machine learning techniques to predict stock market movements and maximize returns on investment.
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Publication Date
10/17/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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