AlphaBench: Benchmarking Large Language Models in Formulaic Alpha Factor Mining
Published in International Conference on Learning Representations (ICLR) 2026, 2026
We introduce AlphaBench, a comprehensive benchmark designed to evaluate large language models on the task of formulaic alpha factor mining for quantitative finance. Our benchmark provides standardized evaluation protocols, diverse task scenarios, and rigorous metrics to assess the capability of LLMs in generating effective trading signals across different market conditions and asset classes.
