Can LLMs Catch a Rigged Backtest? A Clean-Control Calibration Benchmark

arXiv:2609.28090 · cs.CL, cs.AI, cs.CE, cs.SE · Submitted 2026-09-23 · Read on arXiv

cs.CL, cs.AI, cs.CE, cs.SE

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Benchmark — 12× in this paper · explained in 2 episodes
• Calibration — 10× in this paper · explained in 7 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting
• Summoning the Oracle to Slay It: Mitigating Look-Ahead Bias in Financial Backtesting with Large Language Models
• E3: Issue-Level Backtesting for Automated Research Critique
• SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones?
• PRAIB: Peer Review AI Benchmark of Behaviour of LLM-Assisted Reviewing

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