๐Ÿ“ก Data Sources & Coverage

Where GMIIE gets its data, how it's weighted, and which jurisdictions are monitored

6
Source Categories
40+
Individual Sources
14
Jurisdictions
4 hours
Ingestion Cycle
๐Ÿฆ

Central Bank Publications

โฑ๏ธ 4-hour sweep cycleยท๐ŸŽฏ Primary โ€” highest weight

Official central bank outputs form the foundation of GMIIE's intelligence layer. These are first-party sources with the highest credibility weighting. The system ingests speeches, research papers, monetary policy decisions, and official CBDC status reports from 14 jurisdictions.

Sources

Federal Reserve (US)European Central Bank (EU)Bank of England (UK)People's Bank of China (CN)Bank of Japan (JP)MAS (SG)RBI (IN)RBA (AU)BCB (BR)SNB (CH)Bank of Korea (KR)CBN (NG)

Data Types Ingested

Speeches & testimony
Working papers
Policy statements
Statistical releases
CBDC progress reports
๐ŸŒ

BIS & International Bodies

โฑ๏ธ Daily checkยท๐ŸŽฏ Primary โ€” multilateral validation

International bodies provide cross-jurisdictional context that no single central bank can. BIS Innovation Hub project updates (mBridge, Agorรก, Mariana) are critical for tracking actual multilateral deployment progress versus individual jurisdiction claims.

Sources

Bank for International Settlements (BIS)BIS Innovation HubIMFFinancial Stability Board (FSB)Basel Committee (BCBS)CPMI

Data Types Ingested

Cross-border payment reports
CBDC working papers
Innovation Hub project updates
Financial stability assessments
Interoperability frameworks
โš–๏ธ

Regulatory Filings & Legislation

โฑ๏ธ 6-hour sweep cycleยท๐ŸŽฏ Primary โ€” regulatory authority

Regulatory filings reveal the actual legal frameworks being constructed around digital monetary infrastructure. MiCA enforcement filings, US stablecoin legislation (HR 4766), and consultation responses provide concrete evidence of regulatory direction โ€” often more reliable than speeches.

Sources

SEC (US)ESMA (EU)FCA (UK)HKMA (HK)Congressional Records (US)EU ParliamentVarious national parliaments

Data Types Ingested

Regulatory proposals
Enforcement actions
Consultation papers
Legislation text
Impact assessments
๐Ÿ”—

Settlement Network Data

โฑ๏ธ Daily (where available)ยท๐ŸŽฏ Primary โ€” operational data

Settlement network operational data provides ground truth for Ring 4 (Fragility) analysis. SWIFT gpi adoption rates, CLS daily volumes, and CIPS throughput directly measure the infrastructure that GMIIE monitors. These are the 'vital signs' of the global financial plumbing.

Sources

SWIFT (gpi statistics)CLS BankDTCCFedwireTARGET2/T2SCIPSSIX Digital Exchange

Data Types Ingested

Transaction volumes
Settlement times
Message counts
Adoption rates
System availability
๐Ÿ“ก

OSINT & Structured Intelligence

โฑ๏ธ 4-hour cycleยท๐ŸŽฏ Secondary โ€” cross-validated

Open-source intelligence enriches the primary source data. Stablecoin supply data (USDC, USDT market caps) is cross-validated against issuer attestations. Academic research provides methodological grounding. All secondary sources receive lower confidence weighting and must be corroborated.

Sources

CoinGecko / CoinMarketCap (stablecoin metrics)DeFiLlama (DeFi TVL)Academic publicationsIndustry consortia reportsConference proceedings

Data Types Ingested

Stablecoin market caps & flows
Token system adoption metrics
Research papers
Industry analysis
Technology benchmarks
๐Ÿ“ˆ

Financial Market Data

โฑ๏ธ Real-time to dailyยท๐ŸŽฏ Primary โ€” market data

Ring 1 (Structural Signals) ingests quantitative financial data to detect stress. Rate differentials, FX volatility spikes, and stablecoin supply changes are early indicators of structural shifts. The system tracks 20+ signal types across 14 jurisdictions.

Sources

Central bank rate announcementsFX volatility indices (Deutsche Bank)Bond yield dataRepo rate feedsReserve ratio reports

Data Types Ingested

Interest rates & differentials
FX volatility
Yield curves
Stablecoin reserve attestations
Liquidity indicators

๐ŸŽฏ Credibility Scoring

Every data point in GMIIE carries a credibility weight that directly affects its influence on ring scores. Higher-credibility sources have more impact on composite assessments.

1.0ร—
Primary

First-party, official, or operational data. Direct from the institution or system being analyzed.

0.7ร—
Secondary

Third-party aggregated data that has been cross-validated against primary sources.

0.4ร—
Tertiary

Media reports, analyst commentary, or unverified claims. Used for signal detection but heavily discounted in scoring.

๐Ÿ—บ๏ธ Jurisdiction Coverage

GMIIE monitors 14 jurisdictions spanning 5 regions, covering approximately 85% of global GDP and all major CBDC initiatives currently in development or production.

US
United States
North America
EU
European Union
Europe
UK
United Kingdom
Europe
CN
China
Asia-Pacific
JP
Japan
Asia-Pacific
SG
Singapore
Asia-Pacific
IN
India
Asia-Pacific
AU
Australia
Asia-Pacific
BR
Brazil
Americas
AE
UAE
Middle East
CH
Switzerland
Europe
KR
South Korea
Asia-Pacific
NG
Nigeria
Africa
KE
Kenya
Africa

๐Ÿ”„ Ingestion Pipeline

Scrape
6 scraper types pull from 40+ sources
โ†’
Parse
NLP extraction of entities, claims, signals
โ†’
Classify
Layer, jurisdiction, initiative assignment
โ†’
Score
Confidence scoring with credibility weighting
โ†’
Store
PostgreSQL (structured) + Neo4j (graph)
โ†’
Compute
Ring scores, NIG, impact formulas
โ†’
Validate
Confidence normalization + analyst review
โ†’
Serve
20+ API endpoints โ†’ dashboard