Models trained a month ago started degrading on current data. At first I thought it was a data issue. Nope, just label drift. The same logic for “bullish breakout” wasn’t triggering in the current volatility regime. Market structure changed, and my old labels didn’t keep up. Now I re-generate labels nightly. Even if the model doesn’t change, at least I’m validating on context-aware ground truth. [[Label Drift]] [[ML]] [[Labels]] [[Market Regimes]] [[Ground Truth]] [[Serendipity]]