BUY NO when p_mkt − p_pred_blend ∈ [0.20, 0.50] on point/range buckets
OOS 96.6% (n=58) · +$0.339/$1
51.8%
n=927
+$392
no edge detected
paper mode · master kill switch via individual archetype WB_ORACLE_*_ENABLE flags
BUY NO when p_mkt − p_pred_blend ∈ [0.20, 0.50] on point/range buckets
OOS 96.6% (n=58) · +$0.339/$1
51.8%
n=927
+$392
no edge detected
BUY NO when p_mkt − p_pred_blend ∈ [0.10, 0.20) on point/range
OOS 89.8% (n=171) · +$0.158/$1
63.3%
n=738
+$49.46
no edge detected
BUY YES when p_pred_blend − p_mkt ∈ [0.30, 0.50] on point/range
OOS 75.9% (n=29) · +$0.425/$1
—
n=0
$0.00
warming
BUY NO at 1-3¢ when p_mkt ≥ 0.95 on point buckets, book-depth ≥ 100
Backtest 96% WR · MARGINAL fee survival
35.0%
n=20
+$1,006
no edge detected
BUY YES at 1-5¢ on point/range when p_pred_blend ≥ 3%, ratio ≥ 2× ask
ColdMath misclone — clones the LOSING leg only · 0/82 settled YES
2.3%
n=44
−$27.49
significant negative (fix or kill)
The Killer Strategy (now Pythia) was validated at 89.9% hit over 258 bets on Feb-Apr 2026 OOS. On older jbecker data (Dec 2025-Jan 2026) it dropped to 68.6% hit — regime-dependent.
Canary auto-pauses Pythia when rolling 50-bet hit rate drops below 75%. Status: TRIPPED (22.0% < 75.0%)
Retrain biweekly via scripts/probe_d_outcome_classifier/save_production_model.py. Model lives at data/probe_d_production/.