AI RESEARCH
QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
arXiv CS.AI
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ArXi:2602.07085v2 Announce Type: replace-cross Financial markets are noisy and non-stationary, making alpha mining highly sensitive to noise in backtesting results and sudden market regime shifts. While recent agentic frameworks improve alpha mining automation, they often lack controllable multi-round search and reliable reuse of validated experience. To address these challenges, we propose QuantaAlpha, an evolutionary alpha mining framework that treats each end-to-end mining run as a trajectory and improves factors through trajectory-level mutation and crossover operations.