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Journal of Robotics, Automation and Smart Systems

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Agentic AI for Intelligent Stock Market Prediction: A Multi-Agent Framework Combining LSTM, Transformer, XGBoost, FinBERT, and Reinforcement Learning
Research Article - Volume: 1, Issue: 1 , 2026(August)
Agentic AI for Intelligent Stock Market Prediction: A Multi-Agent Framework Combining LSTM, Transformer, XGBoost, FinBERT, and Reinforcement Learning Download PDF
*Correspondence to: , Department of Computer Science and Engineering, Gujral Punjab Technical University (IKGPTU), Punjab, India, E-Mail:
Received: June 23, 2026; Manuscript No: ; Editor Assigned: June 27, 2026; PreQc No: (PQ); Reviewed: July 13, 2026; Revised: July 14, 2026; Manuscript No: (R); Published: August 06, 2026

Citation: Singh K (2026). Agentic AI for Intelligent Stock Market Prediction: A Multi-Agent Framework Combining LSTM, Transformer, XGBoost, FinBERT, and Reinforcement Learning. J. Robot. Autom. Smart Syst.. Vol.1 Iss.1, August (2026), pp:8-16.
Copyright: © 2026 . This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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