Reinforcement Learning for Speculative Trading under Exploratory Framework

By Yun Zhao, Alex S.L. Tse, Harry Zheng

Published 2026-04-02

Everscope rating

1885.3

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: Exploratory Reinforcement Learning with Entropy-Regularized Sequential Optimal Stopping. Problem types: Reinforcement Learning, Pairs Trading, Algorithmic Trading, Optimization, Optimal Stopping, Stochastic Control.

arXiv:2604.02035 · Paper rankings

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