Integrating Large Language Models and Reinforcement Learning for Sentiment-Driven Quantitative Trading

By Wo Long, Wenxin Zeng, Xiaoyu Zhang, Ziyao Zhou

Published 2025-10-14

Everscope rating

1762

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: FinGPT + TD3 Reinforcement Learning for Sentiment-Driven Trading. Problem types: Reinforcement Learning, Natural Language Processing, Portfolio Optimization, Classification, Algorithmic Execution.

arXiv:2510.10526 · Paper rankings

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