FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading

By Hongyang Yang, Boyu Zhang, Yang She, Xinyu Liao, Xiaoli Zhang

Published 2026-03-22

Everscope rating

982.4

Relevance to quantitative trading

10 / 10

Implementation complexity

6 / 10

Reproducibility

5 / 5

About this paper

Methodology: Weight-Centric Modular Trading Pipeline. Problem types: Portfolio Optimization, Reinforcement Learning, Risk Management, Algorithmic Execution, Optimization.

arXiv:2603.21330 · Code · Paper rankings

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