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 Caveats on the momentum result: in-sample, roughly one market regime, costs/slippage approximated at 0.1% per side, and residual momentum still needs SPY benchmark history to compute. The **out-of-sample proof is the forward paper-trade record**: Signals → Track Record compares live qualified expectancy against the backtest.
 
+### Current production baseline
+
+Use this as a regression guardrail for future strategy changes, not as a return promise. Backtest run: 506 tickers, weekly cadence, 30-trading-day horizon, 2022-06-28 → 2026-07-01, 0.1% per-side costs, price-only SPY benchmark.
+
+| Item | Current baseline |
+|---|---|
+| Strategy version | `residual_momentum_12_1_rr_time_v2` |
+| Production gate | Long-only, residual 12-1 momentum percentile >= 80, R:R floor on, NEUTRAL excluded, confidence floor effectively off |
+| Exit | Hold 30 trading days with the initial ATR stop |
+| Qualified setups | 1,810 |
+| Qualified net expectancy | +0.16R per setup |
+| Profit factor | 1.27 |
+| Portfolio CAGR | +40.4% |
+| Portfolio total return | +289.4% vs SPY +95.9% |
+| Max drawdown | -26.1% |
+| Sharpe | 1.52 daily, annualized |
+| Robustness | 30d hold remains +0.16R net/trade after removing the top 5% winners |
+
+Nearest challengers from the same run: legacy raw 80 was weaker (+33.8% CAGR, -28.8% max drawdown, Sharpe 1.32); raw 90 was close but had lower Sharpe and worse drawdown (+40.4% CAGR, -27.6% max drawdown, Sharpe 1.49); residual 80 / max 15 removed book-full skips but did not improve CAGR, drawdown, Sharpe or closed trades.
+
 ### The iron rule for strategy changes
 
 A signal earns its way into selection **only** through the factor harness: