Researchers from Princeton, Ant Group and Stanford Introduce AQuA: A Two-Part Agentic Framework for Autonomous Factor Discovery and Model Development in Quantitative Finance
MarkTechPost 1 month ago 17
Researchers from Princeton University, Ant Group, and Stanford University introduced AQuA, a two-part framework where language-model agents iteratively improve quantitative research while the evaluation setup stays fixed to prevent evidence leakage. On a crypto five-minute universe across 20 research epochs, AQuA’s combined validation Spearman IC rose to about 0.190 (vs 0.171 for AlphaMemo and lower for several baselines). The approach changes research by making leakage-inducing actions unavailable and by having agents emit only constrained factor expressions or configuration diffs, yielding a positive equity long/short book with about +2.50 Sharpe after a volatility-targeting overlay.
