AINeutralarXiv – CS AI · 14h ago6/10
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Hubble: An LLM-Driven Agentic Framework for Safe and Automated Alpha Factor Discovery
Researchers introduce Hubble, an LLM-driven framework that automates alpha factor discovery in quantitative finance by using large language models constrained by safety mechanisms to generate and refine predictive trading factors. The system achieved a composite score of 0.827 across 181 evaluated factors on U.S. equities, demonstrating that combining AI-driven generation with deterministic safety constraints enables interpretable and reproducible factor discovery.