- Introduce IAnomalyDetector; the existing flip detector implements it.
- Extract MatchWinEvidence so every detector writes the identical pre/post
evidence shape — the UI parser and outcome evaluator handle new kinds with no
branching (steam moves get hit-rate calibrated for free).
- Add SteamMoveDetector: flags a rapid one-directional implied-probability rise
over a short CONTINUOUS window (no suspension gap inside it), so it never
double-flags the same interval as the suspension-flip detector.
- DetectAnomaliesUseCase fans out over both detectors; dedup keys on EventId+Kind
so flip and steam signals persist independently. Add AnomalyKind.SteamMove +
SteamMove window/threshold options. 8 detector tests.
Adds a calibration dashboard that joins persisted SuspensionFlip anomalies
with EventResult rows and reports whether the post-flip favourite actually
won — the single metric that says whether the detector is doing its job.
Domain:
- AnomalyEvidenceData + AnomalyEvidenceParser to read the JSON written by
AnomalyDetector without re-implementing the schema.
- AnomalyOutcomeEvaluator: pure function returning Hit / Miss / Unresolved.
Tennis-style two-way markets with a Draw winner are downgraded to
Unresolved rather than silently counted as Miss.
- AnomalySeverityThresholds: shared Low/Medium/High constants so the UI
badge and the report buckets cannot drift.
Application:
- EvaluateAnomalyOutcomesUseCase orchestrates the join + aggregation.
- AnomalyOutcomeReport carries totals, hit rate, three breakdowns
(severity / sport / score bins) and a per-event title lookup so the UI
needs no second pass over IEventRepository.
- Score bins extend below 0.30 automatically when the operator lowers the
detector threshold so the histogram total always equals ResolvedCount.
UI:
- Insights page at /anomalies/insights — hero header, 4-card KPI strip
(hit rate tinted by tone), three breakdown grids with bar visualisation,
drill-down tables for resolved and unresolved anomalies. Honors
prefers-reduced-motion. RU + EN localisation.
- Nav entry under Analysis section + chip button on the Anomaly Feed.
Tests: +42 across Domain + Application (evaluator boundary cases including
tennis two-way and Draw guard, score-bin edges, dynamic floor when
threshold is lowered, event-title pass-through). All 324 tests pass.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- AnomalyDetector (pure domain): detects odds-flip pattern from live snapshot
timelines using implied-probability vectors (p=1/rate, normalised), flip score
= max(|p_post−p_pre|), gated by both threshold AND favourite-changed test
- SuspensionInterval record: typed pair of (pre, post) OddsSnapshot bracketing a gap
- AnomalyOptions POCO (Application layer): bound to Anomaly:* config section with
four fields (SuspensionGapSeconds=60, OddsFlipThreshold=0.30, MinSnapshotCount=3,
DetectionIntervalSeconds=60)
- DetectAnomaliesUseCase: iterates all events, loads last-24h live snapshots, runs
detector, persists new anomalies with 1-minute dedup window
- AnomalyDetectionPoller: BackgroundService polling every DetectionIntervalSeconds,
gated by WorkerOptions.AnomalyDetectionEnabled (default true)
- DI wiring: DetectAnomaliesUseCase registered Scoped in ApplicationModule;
AnomalyOptions bound + AnomalyDetectionPoller hosted in InfrastructureModule
- WorkerOptions.AnomalyDetectionEnabled added; appsettings.json updated
- 13 domain tests + 4 application tests; total 245/245 passing (no regression)
alexei.dolgolyov