providers: keep real news bars (snap-back bad-print rule), Oanda retry ladder, scan_kind=failed

2026-09-07 signal-log inspection follow-up — three fixes that do not depend on sample size.

- providers/base.py: the signal-side 10σ outlier filter is now a bad-print filter. A >10σ
  close-to-close bar is dropped only when the NEXT close snaps back ≥80% of the way
  (OUTLIER_SIGMA / OUTLIER_REVERT_FRACTION); persisting moves and the newest bar are kept.
  The unconditional rule deleted ~36 real M5 news bars/yr in the backtester (whole-frame σ)
  and a different ~24/yr live (fetch-window σ) — e.g. the 2026-09-04 12:30 UTC NFP bar
  vanished from M5+M15 and the 12:35 scan was a byte-identical repeat of 12:30. 3-yr Oanda
  drops are now M5 2 / M15 1 / H1 0.
- providers/oanda.py: transient 401/5xx/network faults retry along RETRY_DELAYS_S=(2,5,10)s
  under RETRY_BUDGET_S=45s. 11 boundary scans in two days had lost their primary frame at
  xx:00:22–:26 UTC; one 2 s retry could not outlast the top-of-hour blip.
- signal_aggregator/_log_signal: a scan whose primary fetch failed logs scan_kind='failed'
  (price 0, no signal); analyze_signal_log.parity_report skips it like 'blocked'.
- test_all.py: 466 tests (+6): retry ladder walks all delays, 5xx blip recovers on the third
  attempt, retry budget stops the ladder, persisting/newest/partially-retraced 10σ bars kept,
  failed-scan row kind, parity skip.
- CLAUDE.md: cleaning rule, retry ladder, failed scan kind, dated current-state note.

Book impact at $0.65 (rule 1 still passes everywhere, both halves positive):
  12mo  M5 557/+112.21/PF1.56 → 560/+108.81/1.54   M15 397/+73.93/1.53 → 398/+74.61/1.53   H1 identical
  3yr   M5 857/+161.3/1.53 → 870/+153.6/1.50   M15 1086/+148.7/1.37 → 1092/+151.9/1.38
        H1 255/+70.5/1.98 → 253/+70.0/1.98   H4 113/+22.7/1.63 → 114/+21.7/1.59
Only trades on the previously-deleted event bars move; the pinned M5/M15 CSVs are no longer
byte-reproducible and should be regenerated at the next re-pin.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NDnBxJ2y8GRUM6ZNFJs1hZ

analyze_signal_log.py

@@ -545,7 +545,7 @@ def parity_report(rows: Sequence[LogRow]) -> dict:
     source (over-scanning symptom), and the divergence list."""
     groups: Dict[Tuple[str, str], List[LogRow]] = {}
     for r in rows:
-        if not r.bar_ts or r.scan_kind == "blocked":
+        if not r.bar_ts or r.scan_kind in ("blocked", "failed"):
             continue
         groups.setdefault((r.timeframe, str(r.bar_ts)), []).append(r)
     per_bar: Dict[Tuple[str, str], List[int]] = {}