These pages live outside the core playbook for a reason. Every study here was reviewed against the same two filters used for the keepers: quality (sample size, edge magnitude, caveats acknowledged) and actionability (entry/exit clarity, real-time identifiability, fit for 0DTE/short-dated SPX/SPY).
Listing them transparently — rather than burying them — keeps the catalog honest. The point of a research site is to publish what worked and what didn’t.
|PO_SPY − PO_SPX| at 09:30 is ~40 oscillator units (about two full Saty zones); fast cloud disagrees on 38% of days. Mechanism: SPY’s pre-market bars cushion its EMAs; SPX’s RTH-only EMAs absorb the gap all at once at 09:30. Across 4,527 RTH days (2008–2026), SPY’s reading is the leading signal — |gap| ≥ 1% cohorts produce a 0.54% full-day spread between symmetric sign(d_open) buckets, and the fast-cloud-mismatch cuts deliver a 0.42% spread. Needs VIX/regime stratification, FOMC/OpEx exclusion, and a 2010+ re-cut before it becomes tradable.
scripts/rerun_bilbo_satellites.py with the point-in-time-safe 1h PO join. Bear marquee full-ATR reach 66% → 63.8% (vs 32.4% baseline) — the “let bearish Bilbo winners run” story holds with slightly smaller numbers.
scripts/rerun_bilbo_satellites.py with point-in-time-safe joins (10m = previous completed bar). A same-direction 10m PO extreme runs below baseline (−9.9pp bull, −3.3pp bear) — only the 60m PO carries the Bilbo signal.