# Yesterday's Recap: June 1, 2026 On June 1, the model generated 20 picks with a directional hit rate of 11 out of 20 (55%). The portfolio's mean return across all selections was −0.69%, indicating a net drawdown across the sample. FCX delivered the strongest result at +6.98%, exceeding its predicted gain of +0.77% by 6.21 percentage points. SARO posted the weakest outcome, declining 8.11% against a predicted drop of 0.42%, a 7.69 point miss to the downside. The featured pick was PATH, flagged as bullish with a predicted one-day gain of 2.31%. The stock instead fell 7.02%, creating an absolute error of 9.33 percentage points. This represents the session's most substantial directional failure—the model anticipated upside momentum where downward pressure materialized. The magnitude of the miss exceeded typical daily volatility ranges and signals that PATH's underlying drivers on the date diverged significantly from the pattern signals the model had weighted. This outcome underscores a calibration reality: directional accuracy above 50% does not guarantee precision on magnitude, and headline-level success masks individual stock-level variance. The PATH case illustrates that even within a week tracking above chance, specific picks can experience large forecast errors. The methodology captured slightly more correct directions than inverse (11 vs. 9), yet the portfolio's negative mean return and the PATH anomaly together suggest that prediction confidence, even when directionally sound, should remain tempered on an individual-stock basis. The data reflects what occurred; no inference about today's patterns follows from this alone.

2026-06-01: $PATH predicted +2.31%, did -7.02%