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Post-shock pricing signal monitor
Baseline anchor: 2026-02-27
(114 days ago).
What this is saying
This dashboard surfaces stations, brands, and areas where the rate of increase looks unusual versus the fixed baseline and rolling windows.
- It is a statistical review queue for unusual repricing behavior.
- It is not legal proof and does not determine intent or wrongdoing.
- High-confidence rows should be reviewed first.
Method and controls
Post-shock monitoring window aligned to the late-February geopolitical event window.
- Fixed baseline anchor and rolling windows are evaluated together.
- Isolation Forest contributes anomaly scoring, not sole classification.
- Confidence is based on update count, observation depth, and time coverage.
- Small-sample brands are filtered to reduce false concentration spikes.
Model setup
Fixed baseline date: 2026-02-27.
Rolling windows: 7, 14 days.
Highest latest observed price in this analysis
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Moved vs fixed baseline
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Hotspots
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Signal concentration regions
Priority review
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Highest composite scores
Statistical signal ranking
Fast scan view. Evidence and confidence in the tables below remain the source of truth.
Data narrative
Summary derived from current fixed-baseline and rolling window output.
Pricing hotspots
Areas ranked by concentration of elevated streams and severity score.
Priority review stations
Stations ranked by composite score, statistical reasons, and confidence.
Company concentration
Brands ranked by elevated-stream concentration and movement profile.
Station trend
Select a station from the ranking table.
Station statistical review queue
Rows are sorted by signal status, confidence, composite risk, and fixed-baseline movement.