Executive summary — MacroIntel is an interactive macro-economic intelligence dashboard that maps the world's largest economies by output and by who they trade with. It renders GDP, bilateral trade flows, sector leadership, and trade-bloc structure for 102 economies across 3,814 bilateral trade links, drawing exclusively on authoritative public sources (World Bank and UN Comtrade). Built for analysts, strategists, and decision-makers who need to see the shape of the global economy at a glance — and trust every figure on screen.
- GDP bubble graph — every economy sized and colored by economic weight, blending GDP with trade intensity into a single readable lens.
- Bilateral trade flows — directed links between trading partners sourced from UN Comtrade, with adjustable minimum-trade thresholds and direction (export vs. mirrored inbound).
- Sector drilldowns — top-10 producer rankings across 8 sectors (Medicine, Electronics, Automotive, Energy, Agriculture, Textiles, Metals, Chemicals) for 2024 and 2023.
- Trade-bloc lenses — 18 blocs (EU, NATO, BRICS, ASEAN, G7, G20, CPTPP, RCEP, AfCFTA, and more) with union / intersection member modes and touching / internal edge scope.
- Country detail cards — GDP, exports, imports, trade balance, top partners, sector exposure, bloc membership, and per-figure provenance (observed vs. estimated).
- Built for analysts — keyboard-navigable search, camera focus on selection, zoom-to-fit framing, responsive layout, reduced-motion support, and full SEO / social metadata.
- Zero-build static delivery — vanilla JavaScript + D3 v7, deployed continuously to GitHub Pages.
MacroIntel turns two of the most authoritative open economic datasets into a single, explorable picture of the global economy.
The macro graph. Each node is an economy, sized and colored by a blended GDP + visible-trade heat score so the structure of global output reads at a glance before any filter is applied. Directed edges represent bilateral goods-export relationships, surfaced from UN Comtrade.
Sector intelligence. Switch into any of eight sectors to rank the top-10 producers for the selected year, exposing where pharmaceutical, electronics, automotive, energy, agricultural, textile, metals, and chemical capacity actually concentrates.
Bloc analysis. Apply any of 18 trade blocs as a lens — combine them with union or intersection member logic, and choose whether edges count as in-bloc when both endpoints are members (internal) or when at least one is (touching).
Country deep-dives. Selecting an economy opens a detail card with GDP, exports, imports, trade balance, major trading partners, sector exposure, and bloc membership — with each figure flagged as observed or estimated.
Navigation. Type / to search, arrow through suggestions, Enter to focus a country, Esc to dismiss. Selecting a node flies the camera to it; the view re-frames to fit on reset.
Per Monarch Castle doctrine — evidence before assertion. Every figure in MacroIntel is traceable to a named public source, a snapshot date, and a collection method recorded in the dataset's meta block.
| Metric | Source | Series / method |
|---|---|---|
| GDP (current USD) | World Bank API | NY.GDP.MKTP.CD |
| National trade totals (exports / imports) | World Bank API | NE.EXP.GNFS.CD, NE.IMP.GNFS.CD |
| Bilateral trade links | UN Comtrade | HS TOTAL goods exports, annual |
| Sector exports | UN Comtrade | HS chapters, goods exports |
- Verified release. The shipped dataset (
data/country-macro-map.js) carries its build time, family-specific observed periods, retrieval dates, coverage, and SHA-256 content checksum inwindow.countryMacroData.meta. - Per-figure provenance. Country values carry observed-vs-estimated flags (e.g.
exportsEstimated,importsEstimated) so the dashboard can distinguish reported data from modeled fills. - Honest caveats. Bilateral links cover economies that report goods trade to UN Comtrade; a few late or non-reporters (e.g. Russia, Taiwan) appear with full GDP/trade totals but without outbound bilateral links. Values are nominal USD; trade links are goods-only (Comtrade) while national totals include services (World Bank). Treat as indicative analytical intelligence, not official statistics.
- Language: JavaScript (vanilla, single IIFE in
app.js) — no framework, no build step. - Visualization:D3.js v7 (force-directed graph).
- Markup & styling: HTML5 + CSS3, dark theme; Bricolage Grotesque / Inter / JetBrains Mono typography.
- Data layer: precomputed
window.countryMacroDatablob indata/country-macro-map.js. - Refresh tooling: keyless World Bank Indicators and UN Comtrade preview clients with coverage gates, checksum verification, and last-known-good preservation.
- CI / deploy: GitHub Actions (
.github/workflows/pages.yml) → GitHub Pages (static hosting).
Live dashboard:https://monarchcastletech.github.io/macrointel/
No build step required — it's a static site.
git clone https://github.com/monarchcastletech/macrointel.git
cd macrointel
npx http-server . -p 8080
# then open http://localhost:8080Or simply open index.html directly in a browser.
The same three commands used by the weekly GitHub Action rebuild every public-data family. Nothing is published unless coverage, schema, observation periods, and checksum pass:
node tools/refresh-world-bank.mjs .
node tools/enrich-links.mjs .
node tools/splice-links.mjs .
node tools/verify-dataset.mjs .Pushes to main deploy automatically via GitHub Actions. Ensure Settings → Pages → Build and deployment → Source is set to GitHub Actions.
A product of Financial Intelligence · Monarch Castle Technologies — an operating company of Monarch Castle Holdings. Sister companies: Monarch Castle Technologies · Strategic Data Company of Ankara
See LICENSE (MIT). © 2026 Monarch Castle Holdings · Ankara, Türkiye. Not affiliated with the World Bank or the United Nations.
MacroIntel — macro-economic intelligence dashboard mapping global GDP & bilateral trade flows across 102 economies (World Bank + UN Comtrade). A Monarch Castle Technologies product.
Lifecycle: Active. The badge and this statement describe maintenance status, not service availability.
The preview is maintained as a repository asset; the live interface or generated output remains authoritative.
These repository-specific sources define the methodology or provenance boundary. Source dates, transformation steps, and known gaps must travel with analytical outputs.
Weekly, with an on-demand trigger. Source failure or insufficient coverage fails the run and leaves the last verified release online.
python -m http.server 8080Run only in a trusted development environment and review repository-specific prerequisites before using networked or hardware features.
app.js— repository-specific implementation, data, or configuration boundary.tools/— repository-specific implementation, data, or configuration boundary.
node --test tests/repository-hygiene.test.mjsOriginal software history is maintained in Git. External datasets, reports, trademarks, screenshots, and assets are not relicensed by this repository; see THIRD_PARTY_NOTICES.md before reuse.
This repository does not publish a guaranteed forecast. Any scenarios, scores, or forward-looking language are analytical aids, not facts or advice; review source dates and methodology before use.
Do not publish vulnerabilities in an issue. Use GitHub's private vulnerability-reporting flow when available, or follow the organization security policy.
Original repository code and documentation are available under MIT; see LICENSE. That license does not override third-party terms documented in THIRD_PARTY_NOTICES.md.
Use the machine-readable CITATION.cff. Cite the specific commit and, for analytical use, record the data or model snapshot date.
MacroIntel is a Monarch Castle Technologies project. Part of Monarch Castle Technologies.