Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy

By Hongyang Yang, Xiao-Yang Liu, Shan Zhong, Anwar Walid

Published 2025-11-15

Everscope rating

1546

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

4 / 5

About this paper

Methodology: Ensemble Deep Reinforcement Learning for Stock Trading. Problem types: Reinforcement Learning, Portfolio Optimization, Algorithmic Execution, Risk Management, Optimization.

arXiv:2511.12120 · Code · Paper rankings

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