For Investors & Quant Researchers · Marine Ports Services
Marine Ports & Services Data for Investors & Quant Researchers
Marine Ports Services data for investors: 10 datasets on one shelf. Every one delivered as API, files, or warehouse rows.
best alternative data sources for investing · satellite imagery data for hedge funds · point-in-time fundamentals database · how do quants use marine ports services data
API, files, or your warehouse. Daily, weekly, or hourly.
How do quants use marine ports & services data?
The honest answer is slowly. Four of the 10 sources here publish annually and four more are static, so port data behaves like a low-frequency fundamental input rather than a daily alpha stream. The working construction: build a U.S. freight-flow factor from USACE receipt, shipment, intra-port and through-movement tonnage sliced by commodity, movement direction, vessel class and draft band, then join it to BTS's 150-port polygon layer on port codes to map exposure onto logistics and commodity names. At country level, World Bank TEU trajectories (207 economies, 2005-2024) work as a trade-volume factor, while Liner Shipping Connectivity scores separate structurally advantaged hubs from lagging gateways. Full records sit in our marine-ports-services data hub.
Which sample periods and survivorship caveats should a backtest respect?
Sample periods are uneven, and pretending otherwise is how port factors break. USACE offers the longest consistent U.S. run: data years 2002 through 2024 across 1,381 locations (819 ports, 562 waterways). World Bank TEU spans 2005-2024 but sits on an unbalanced panel - 207 of roughly 217 listed economies carry non-null values, so country composition shifts year to year. Two series are effectively dead: the Liner Shipping Connectivity Index stops at 2021 and the WEF port-infrastructure quality score ends 2017, capping any screen built on them to vintage data. BTS tonnage is a single calendar-year 2023 snapshot, useful for cross-sectional weights but useless as a time series. Nothing here carries explicit point-in-time or restatement flags, so pin each observation to its publication vintage when backtesting; for depth, NOAA's archive pages monthly water-level means back decades.
Do investors need satellite imagery data for hedge funds here?
Not from this slice - zero of the 10 datasets are satellite-derived. The live layer here is radio-based: VT Explorer's credit-metered AIS tracks 300,000+ vessels daily and exposes port-call history in JSON and XML, while NOAA CO-OPS streams six-minute water levels and currents from 43 PORTS installations.
What is the bottom line for investors and quants?
Spend VT Explorer credits only where annual cadence is too slow to confirm a thesis, and quarantine the two expired benchmarks (connectivity to 2021, WEF infrastructure quality to 2017) as context rather than signal. Browse all investors-quants resources for the adjacent transport-sector slices that complete the book.
Straight answers
What are the best alternative data sources for investing in marine ports & services?
Mean quality is 8.1 against a 7.81 catalog-wide average across all 1,744 Datadory datasets.
Is there a point-in-time fundamentals database for port volumes?
The closest analogue is USACE Waterborne Commerce, whose annual publications fix data years from 2002 through 2024 for 1,381 U.S. locations - 819 ports and 562 waterways. None of these sources ships explicit restatement flags, so backtests should pin each observation to its publication vintage. World Bank TEU runs 2005-2024 on an unbalanced 207-economy panel.
How do quants use marine ports & services data?
Three ways: as a trade-volume factor from World Bank TEU trajectories, as a freight-flow proxy from USACE receipts, shipments and through movements sliced by commodity and vessel class, and as a competitiveness screen from Liner Shipping Connectivity scores.
Rows before rollout
Sample rows from any shelf entry — the field dictionary and coverage notes ride along. If the shelf misses what you need, say so; sourcing requests are half our job.
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