Toward Expert Investment Teams: A Multi-Agent LLM System with Fine-Grained Trading Tasks

By Kunihiro Miyazaki, Takanobu Kawahara, Stephen Roberts, Stefan Zohren

Published 2026-02-26

Everscope rating

1597.3

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

4 / 5

About this paper

Methodology: Hierarchical Multi-Agent LLM Trading Framework with Fine-Grained Task Decomposition. Problem types: Portfolio Optimization, Natural Language Processing, Multi-agent Systems, Algorithmic Trading, Risk Management.

arXiv:2602.23330 · Paper rankings

Open the interactive Everscope explorer for full analysis, charts, and paper battles.