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How Traders Use U.S. Gulf Physical Congestion Data

HarborSignal provides normalized, historical measures of physical congestion across major U.S. Gulf crude and refined product ports. The data is designed to help traders and analysts contextualize physical system state, not to generate standalone trade signals.

Below are common research patterns desks use when working with this type of data.

1 Gulf Physical Stress Monitoring

What it is

  • Daily dwell time, queue depth, and arrival/departure anomalies across core U.S. Gulf energy ports (Houston, Corpus Christi, LOOP, Port Arthur, Lake Charles, Mobile)
  • Metrics are expressed as z-scores relative to rolling baselines, allowing comparison across time and ports

Who uses it

  • Physical crude traders
  • Refined products desks
  • Energy-focused hedge funds

Why it's useful

  • Identifies when the Gulf system is absorbing flow normally vs beginning to bind
  • Distinguishes routine seasonality from abnormal physical stress
  • Provides physical context alongside inventory, freight, and pricing data

Available data

  • Per-port dwell, queue, arrivals, waiting z-scores
  • Composite congestion shock scores
  • Historical series back to 2015

2 Recovery and Post-Disruption Analysis

What it is

  • Analysis of congestion behavior after known disruptions (storms, freezes, outages), focusing on recovery dynamics rather than event headlines

Who uses it

  • Risk managers
  • Fundamental analysts
  • Traders monitoring post-event normalization

Why it's useful

  • Physical stress often peaks during recovery, not during shutdowns
  • Recovery congestion can persist after prices react to the headline
  • Historical recovery profiles help frame duration and magnitude of stress

Available data

  • Event-aligned historical time series
  • Duration and persistence statistics
  • Cross-port aggregation for system-level analysis

3 Export Flow Context for Crude and Products

What it is

  • Daily vessel counts and estimated volume for crude and product tankers moving through U.S. Gulf export hubs

Who uses it

  • Export-focused crude desks
  • Products traders
  • Fundamental research teams

Why it's useful

  • Tracks whether export infrastructure is clearing volumes efficiently
  • Flags divergence between arrivals and departures before it appears in weekly data
  • Provides an independent lens on flow normalization

Available data

  • Vessel-type-specific signals (crude tanker, product tanker)
  • Estimated daily volumes
  • Seasonal flow anomaly indicators

4 Historical Analogue Matching

What it is

  • Identification of prior periods where physical congestion metrics most closely resemble current conditions

Who uses it

  • Discretionary traders
  • Systematic researchers
  • Risk teams

Why it's useful

  • Anchors interpretation in history rather than intuition
  • Helps distinguish "normal weirdness" from true regime shifts
  • Reduces overreaction to single-day moves

Available data

  • 10+ years of normalized congestion history
  • Similarity-based analogue tables
  • Event and non-event comparisons

How This Data Is Typically Used

HarborSignal data is most effective when layered with:

Inventory and storage data
Freight rates and vessel availability
Forward curves and spreads
Weather and outage intelligence
It is not designed to be traded in isolation.

Data Access

All metrics are available via REST API:

Coverage: U.S. Gulf energy ports only
Update frequency: Daily
Contact: [email protected]