Elie Habib 889fa62849 feat(stocks): add analyst consensus + price targets to stock analysis panel (#2926)
* feat(stocks): add analyst consensus + price targets to stock analysis panel

Shows recommendation trend (strongBuy/buy/hold/sell), price target range
(high/low/median vs current), and recent upgrade/downgrade actions with
firm names. Data from Yahoo Finance quoteSummary.

* chore: regenerate proto types and OpenAPI docs

* fix(stocks): fallback median to mean + use stock currency for price targets

* fix(stocks): drop fake $0 price targets and force refetch for pre-rollout snapshots

- Make PriceTarget high/low/mean/median/current optional in proto so partial
  Yahoo financialData payloads stop materializing as $0.00 cells in the panel.
- fetchYahooAnalystData now passes undefined (via optionalPositive) when a
  field is missing or non-positive, instead of coercing to 0.
- StockAnalysisPanel.renderPriceTarget skips Low/High cells entirely when the
  upstream value is missing and falls back to a Median + Analysts view.
- Add field-presence freshness check in stock-analysis-history: snapshots
  written before the analyst-revisions rollout (no analystConsensus and no
  priceTarget) are now classified as stale even when their generatedAt is
  inside the freshness window, so the data loader forces a live refetch.
- Tests cover undefined targets path, missing financialData path, and the
  three field-presence freshness branches.

* fix(stocks): preserve fresh snapshots on partial refetch + accept median-only targets

- loadStockAnalysis now merges still-fresh cached symbols with refetched
  live results so a partial refetch does not shrink the rendered watchlist
- renderAnalystConsensus accepts median-only price targets (not just mean)
2026-04-11 14:26:36 +04:00

World Monitor

Real-time global intelligence dashboard — AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.

GitHub stars GitHub forks Discord License: AGPL v3 TypeScript Last commit Latest release

Web App  Tech Variant  Finance Variant  Commodity Variant  Happy Variant

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Documentation  ·  Releases  ·  Contributing

World Monitor Dashboard


What It Does

  • 435+ curated news feeds across 15 categories, AI-synthesized into briefs
  • Dual map engine — 3D globe (globe.gl) and WebGL flat map (deck.gl) with 45 data layers
  • Cross-stream correlation — military, economic, disaster, and escalation signal convergence
  • Country Intelligence Index — composite risk scoring across 12 signal categories
  • Finance radar — 92 stock exchanges, commodities, crypto, and 7-signal market composite
  • Local AI — run everything with Ollama, no API keys required
  • 5 site variants from a single codebase (world, tech, finance, commodity, happy)
  • Native desktop app (Tauri 2) for macOS, Windows, and Linux
  • 21 languages with native-language feeds and RTL support

For the full feature list, architecture, data sources, and algorithms, see the documentation.


Quick Start

git clone https://github.com/koala73/worldmonitor.git
cd worldmonitor
npm install
npm run dev

Open localhost:5173. No environment variables required for basic operation.

For variant-specific development:

npm run dev:tech       # tech.worldmonitor.app
npm run dev:finance    # finance.worldmonitor.app
npm run dev:commodity  # commodity.worldmonitor.app
npm run dev:happy      # happy.worldmonitor.app

See the self-hosting guide for deployment options (Vercel, Docker, static).


Tech Stack

Category Technologies
Frontend Vanilla TypeScript, Vite, globe.gl + Three.js, deck.gl + MapLibre GL
Desktop Tauri 2 (Rust) with Node.js sidecar
AI/ML Ollama / Groq / OpenRouter, Transformers.js (browser-side)
API Contracts Protocol Buffers (92 protos, 22 services), sebuf HTTP annotations
Deployment Vercel Edge Functions (60+), Railway relay, Tauri, PWA
Caching Redis (Upstash), 3-tier cache, CDN, service worker

Full stack details in the architecture docs.


Flight Data

Flight data provided gracefully by Wingbits, the most advanced ADS-B flight data solution.


Data Sources

WorldMonitor aggregates 65+ external data sources across geopolitics, finance, energy, climate, aviation, cyber, military, infrastructure, and news intelligence. See the full data sources catalog for providers, feed tiers, and collection methods.


Contributing

Contributions welcome! See CONTRIBUTING.md for guidelines.

npm run typecheck        # Type checking
npm run build:full       # Production build

License

AGPL-3.0 for non-commercial use. Commercial license required for any commercial use.

Use Case Allowed?
Personal / research / educational Yes
Self-hosted (non-commercial) Yes, with attribution
Fork and modify (non-commercial) Yes, share source under AGPL-3.0
Commercial use / SaaS / rebranding Requires commercial license

See LICENSE for full terms. For commercial licensing, contact the maintainer.

Copyright (C) 2024-2026 Elie Habib. All rights reserved.


Author

Elie HabibGitHub

Contributors

Security Acknowledgments

We thank the following researchers for responsibly disclosing security issues:

  • Cody Richard — Disclosed three security findings covering IPC command exposure, renderer-to-sidecar trust boundary analysis, and fetch patch credential injection architecture (2026)

See our Security Policy for responsible disclosure guidelines.


worldmonitor.app  ·  docs.worldmonitor.app  ·  finance.worldmonitor.app  ·  commodity.worldmonitor.app

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