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Quant-Arena: Benchmarking LLM Agents for Quantitative Trading Research

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NEWS ABSTRACT10/22/2026 · one shared analysis

Quant-Arena is a benchmark and public leaderboard for end-to-end quantitative research on real A-share market data. Models build features and stock-scoring code, receive feedback only on 2022-2023, and freeze one strategy for evaluation on the sealed year 2024. A cash-account evaluator applies trading constraints and costs, including market impact estimated from a simulated order book. Scores are dominated by realized excess return, with signal quality and feature diversity as complements. Nine frontier models were evaluated; GPT-6 Astra scored highest, but no model beat the equal-weight market in 2024.

Why it matters

It tests whether LLM agents can complete the full research loop and produce strategies that generalize beyond the research period, rather than scoring only formulas, code, or single decisions.

Read with care

Source claims not independently checked; results cover one market (A-shares) and one held-out year, so generalization to other markets or periods is untested.

quantitative tradingllm agentsbenchmarka-share marketfinancial forecasting

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