EvoAlpha: Evolutionary Alpha Factor Discovery with Large Language Models

We propose EvoAlpha, a framework that leverages large language models to automatically discover formulaic alpha factors for quantitative trading through an evolutionary search process. Our approach combines the code generation capabilities of LLMs with evolutionary algorithms to iteratively create, evaluate, and refine trading signals, enabling the discovery of novel alpha factors that outperform traditional hand-crafted approaches.