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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM41435
Volume:
9 |
2 |
Feb 2025
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.
Stock market prediction is complex due to its volatility. This paper proposes an AI-driven model using deep learning techniques like LSTM and transformers, integrating historical prices, technical indicators, sentiment analysis, and macroeconomic factors. The model outperforms traditional methods, demonstrating improved accuracy in market trend prediction. Results highlight AI’s potential in financial forecasting and investment decision.
KEYWORDS
Publication Date
7/1/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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