EvoQuantLab: Training-Free Dual-Loop Evolution for Auditable Quantitative Research
Automated alpha factor discovery is critical for modern quantitative research. While large language models (LLMs) have increasingly been integrated into quantitative workflows, existing agent-based approaches remain highly susceptible to severe backtest overfitting. To address this challenge, we propose EvoQuantLab, a...
Hao-Lin Yang, Zhi-Qiang Qian, Chu-Tian Chen et al.
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