Harry Zhang

Hard to Fool: A Bounded LLM Research Loop for Quantitative Finance, and What Two Dozen Campaigns Found

Agentic research loops that let a language model propose a change, run a fixed experiment and keep whatever improves the metric work well in machine learning. In trading research the same loop is a machine for producing false discoveries: a backtest that"improves the metric"is, by default, overfit, look-ahead, a multip...