AlphaForgeBench: Benchmarking End-to-End Trading Strategy Design with Large Language Models

By Wentao Zhang, Mingxuan Zhao, Jincheng Gao, Jieshun You, Huaiyu Jia, Yilei Zhao, Bo An, Shuo Sun

Published 2026-05-27

Everscope rating

1400.3

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

4 / 5

About this paper

Methodology: AlphaForgeBench. Problem types: Natural Language Processing, Portfolio Optimization, Risk Management, Algorithmic Execution.

arXiv:2602.18481 · Code · Paper rankings

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