Matt Dancho outlines trustworthy backtests

- Matt Dancho shared a backtesting recipe using rolling splits and inference‑safe features to avoid lookahead bias when evaluating models. - He recommended rolling windows, held‑out inference periods, and feature audits to make historical tests reflect deployment realities. - The guidance is aimed at improving model reliability and avoiding overstated performance in production. (x.com)