HarborSignal
Daily signals showing when congestion, dwell time, and recovery dynamics begin to constrain real throughput across major US Gulf ports.
Built for physical crude and refined products traders monitoring storage stress, export flows, and post-disruption recovery.
AIS Congestion Signals
Daily congestion metrics derived from AIS vessel tracking at US Gulf ports. Signals are designed to detect when the physical system stops absorbing variability and begins to bind.
Metrics include:
Congestion shock scores
Dwell time and queue depth anomalies
Arrival and departure imbalances
Efficiency and recovery indicators
Signals are computed at the system level, not as real-time operational alerts.
Daily Signals
GET /ais/signals
Daily congestion shock scores, dwell/queue/arrival z-scores, and efficiency metrics for a specific port and date.
Use cases:
Historical Analysis
GET /ais/history
Multi-port time series back to 2015 for backtesting, seasonal analysis, and regime comparison.
Designed for:
Regional Aggregation
GET /ais/basket
Aggregate congestion signals across predefined port baskets to measure system-wide physical stress.
Available baskets:
Metrics include:
Commodity Signals
Commodity-level signals derived from tanker movements at US Gulf ports.
Signals include:
Supported commodities:
GET /api/v1/signals/commodity/energy
Port Coverage
HOU
Houston
CGX
Corpus Christi
LOP
Louisiana Offshore
PAR
Port Arthur
LCH
Lake Charles
MOB
Mobile
Coverage focuses on ports that matter for physical crude and refined product flows.
API Design
All signals are delivered via JSON APIs with consistent schemas. Authentication via API key.
Designed for:
Quant research
Internal dashboards
Trade context enrichment
Historical backtesting
Daily physical stress signals for crude and refined products traders, with over a decade of history for context and backtesting.