Houde Qian, Zheng Jiang, Wenyi Li, Chenxi Xu, Xinjie Lin, Yuzhao Peng, Ruoyu Han, Youjie Zheng · 2026 · arXiv
DOI: 10.48550/arXiv.2610.30113 · open-access PDF
定量研究是一种迭代循环:研究人员提出市场假设,将其实施为可执行的信号,对历史数据进行测试,并决定要保留什么。现有基准评分公式,代码或个别交易决策,使大语言模型(LLM)是否能够完成这一循环,并产生超出研究期限的策略。
Machine translation (Meta M2M100); the English original follows.
Quantitative research is an iterative loop: a researcher proposes a market hypothesis, implements it as an executable signal, tests it on historical data, and decides what to keep. Existing benchmarks score formulas, code, or individual trading decisions, leaving open whether large language models (LLMs) can complete this loop and produce strategies that work beyond the research period. We introduce Quant-Arena, a benchmark and public leaderboard for end-to-end quantitative research on real A-share market data. A model constructs features and stock-scoring code, receives feedback only on 2022-
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