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Trade/Geopolitical · Index Gold

Supply Chain Geopolitical Risk Index

What geopolitical risk is embedded in US supply chains; is China dependence improving?

Refresh
monthly
History
10.2 yrs
Plan
Gold
42.0/ 100
Rising

US

2016-04-01 10.2 yrs · 123 pts 2026-06-27

Top drivers

china_import_share_of_basket_pctchina_import_trend_zchina_import_export_ratio
⌁ mcp.call("adw-354") vADW-354-live-1.0
Use cases

What it unlocks

For an agent

A supply-chain risk orchestration agent polls ADW-354 monthly and, when the geopolitical risk score rises above 55 on a rising trend (122-observation backtest: range 36.1–93.4, mean 70.7; current 42.0 at the 3rd percentile—historically low and falling), it evaluates whether the low reading is driven by China trade-share normalization (40% weight) or a temporary import-flow decline (30% weight) using top_drivers, then either holds diversification posture steady or escalates a supplier-audit trigger to the procurement team. The methodology_version and source_lineage (FRED/BEA bilateral trade data) let the agent distinguish signal from noise and satisfy ESG/supply-chain-due-diligence reporting requirements without manual analyst intervention.

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For the business

A Chief Procurement Officer at a manufacturer with significant China-sourced inputs uses ADW-354 to quantify whether recent nearshoring initiatives are actually reducing geopolitical trade concentration or merely appearing to because of cyclical import slowdowns. The current score of 42.0 is at the 3rd percentile of a 10-year history that has ranged as high as 93.4—meaning conditions look unusually favorable on paper—but the falling trend against a mean of 70.7 prompts the CPO to interrogate whether the improvement reflects structural diversification or just a demand trough, using the IOM's imbalance sub-component (10% weight) to stress-test the conclusion before locking in long-term sole-source agreements.

Forward outlook

Prediction

Horizon
Recommended use
Track US supply-chain exposure to geopolitically sensitive trade partners. A rising score signals growing import concentration in China or broader bilateral trade asymmetry. Not a market signal — use alongside tariff, sanctions, and logistics risk data for decision-grade supply-chain analysis. Data lags BEA publication cycle (~5-6 weeks after month-end).
Methodology

How it's built

China-share(40)+import-z(30)+balance-z(20)+imbalance(10) -> 0-100

Version ADW-354-live-1.0 · validated to beat a naive baseline · benchmark: Resilinc; Everstream; riskmethods (all paid)