UK Fuel Post-Conflict Pricing Monitor

JS Labs
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Post-shock pricing signal monitor
Baseline is fixed at 2026-02-27 to track price acceleration after the late-February geopolitical shock window.

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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Station streams
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Moved vs fixed baseline
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Elevated streams
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Avg fixed change
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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.

Brands

# Brand Score Tier

Areas

# Area Score Tier

Stations

# Station Score Tier
Data narrative
Summary derived from current fixed-baseline and rolling window output.
Pricing hotspots
Areas ranked by concentration of elevated streams and severity score.
Hotspot Streams Elevated Elevated % Avg fixed % Highest ppl Avg risk Top station
Priority review stations
Stations ranked by composite score, statistical reasons, and confidence.
Station Brand Score Confidence Latest ppl Fixed % 7d % 14d % Reasons
Company concentration
Brands ranked by elevated-stream concentration and movement profile.
Brand Streams Elevated Elevated % Avg fixed % Max fixed % Highest ppl
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.
Status Confidence Brand Station Postcode Latest ppl Fixed % 7d % 14d % Sigma Risk Anomaly Latest seen