Global Macro Outlook AI

Macro intelligence MVP

demo

Credit cycle

Credit stress monitor

Uses credit growth, non-performing loan proxies, yield-curve inversion, and rule-based credit-cycle stress scoring.

Live data are fetched from external sources. Demo and fallback data are illustrative or backup values and should be verified before research or investment use.

Credit growth

3.2%

Private credit proxy.

Demo data moduledemo2026-Q1AuditSources

NPL ratio

1.0%

Asset-quality proxy.

Demo data moduledemo2025AuditSources

Yield curve

1.3%

Negative values flag inversion.

Application calculation enginedemo2026-06-11T17:36:00-04:00calculatedAuditSourcesFormula

Credit stress

28/100

Rule-based score.

Application calculation enginedemo2026-06-11T17:36:00-04:00calculatedAuditSourcesFormula

Credit growth

Demo data moduledemo2026-Q1AuditSources
Demo data moduledemo2026-Q1AuditSources

Non-performing loans

Demo data moduledemo2025AuditSources
Demo data moduledemo2025AuditSources

Countries ranked by credit stress

Application calculation enginedemo2026-06-11T17:36:00-04:00calculatedAuditSourcesFormula
CountryLatestRisk scoreRegime
Brazil

Latin America

8.0%
45.2Watch
Disinflationary growth
Canada

North America

1.9%
41.8Watch
Disinflationary growth
Mexico

Latin America

5.5%
40.6Watch
Stagflation
Euro Area

Europe

0.0%
37.7Watch
Expansion
India

South Asia

12.0%
36.6Watch
Disinflationary growth
United Kingdom

Europe

1.4%
36Watch
Disinflationary growth
Germany

Europe

0.0%
35.4Watch
Expansion
China

East Asia

7.5%
32.1Low
Disinflationary growth
United States

North America

3.2%
28Low
Expansion
Japan

East Asia

1.8%
28Low
Fiscal stress
Research disclaimer: This dashboard is a research prototype and is not investment, financial, legal, tax, or trading advice. It is not an official forecast source. Live, demo, and fallback data may be mixed, and users must verify all values against official sources before using them for research, reporting, or decisions. Risk scores are rule-based model outputs and may be incomplete, stale, wrong, or unsuitable for any specific purpose.