Optimizing portfolio selection through stock ranking and matching: A reinforcement learning approach

•Utilizing Novel Ensemble architecture for stock prediction.•Reinforced Learning stacked on top of LSTM, Deep RankNet, and XGBoost.•Novel Feature Engineering methods.•Novel combination of hyperparameter optimization and deep learning.•Statistical and Risk assessment of portfolios for managers/invest...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 269; p. 126430
Main Author:	Alzaman, Chaher
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.04.2025
Subjects:	Artificial intelligence Financial markets Machine learning Optimization Predictive analytics Financial markets Artificial intelligence Predictive analytics Optimization Machine learning
ISSN:	0957-4174
Online Access:	Get full text
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