Hierarchical AI Multi-Agent Fundamental Investing: Evidence from China's A-Share Market

By Chujun He, Zhonghao Huang, Xiangguo Li, Ye Luo, Kewei Ma, Yuxuan Xiong, Xiaowei Zhang, Mingyang Zhao

Published 2025-10-24

Everscope rating

1163.2

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: Hierarchical AI Multi-Agent Fundamental Investing Framework. Problem types: Portfolio Optimization, Risk Management, Reinforcement Learning, Natural Language Processing, Ranking, Optimization, Multi-task Learning.

arXiv:2510.21147 · Paper rankings

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