Market Diagnostic Dashboard

Market Diagnostic Dashboard is a live market intelligence tool built to answer the question most dashboards dodge: what kind of tape are we actually trading right now?

Instead of dumping raw charts, it pulls rates, liquidity, credit, sentiment, alternative assets, and sector internals into a single regime read that is fast to scan and hard to misinterpret. The goal is not more noise. The goal is a cleaner market view, tighter context, and better decisions.

Live site: marketdiagnostictool.com

What It Covers

At the core is a weighted indicator framework seeded by backend/seed_indicators.py. It tracks the pressure points that actually shape market behavior, including:

• VIX
• SPY trend
• Breadth Health
• 10Y minus 2Y Treasury spread
• Unemployment
• Consumer Health
• Bond Market Stability
• Liquidity Proxy
• Analyst Anxiety / Confidence
• Sentiment Composite
• Alternative Asset Stability

Around that core signal engine, the platform expands into a broader operating system for market context:

• Indicator detail pages that explain the why behind the signal, not just the score
• System Breakdown views that expose weighting logic, regime state, and historical drift
• Alternative asset diagnostics for precious metals and crypto when trust in the core system starts to wobble
• Market Map, sector projections, and stock analysis tools for moving from macro context into tradable follow-through
• Recap pages for publishing market updates in a format that is actually readable
• Secret Options tooling and alert infrastructure for higher-touch options workflows

Current Product Surface

Primary frontend routes live in frontend/src/App.tsx.

• / Dashboard
• /indicators indicator library
• /indicators/:code indicator detail
• /system-breakdown system methodology and state view
• /market-map market-map and intraday sector context
• /sector-projections sector model output
• /stock-analysis and /stock-analysis/:symbol stock analysis
• /alternative-assets alternative-asset diagnostics
• /aas-breakdown AAS component breakdown
• /tools/recap published recap index and posts
• /news cached market news

Stack

• Backend: FastAPI, SQLAlchemy, PostgreSQL
• Frontend: React, TypeScript, Vite, Recharts
• Deployment: Docker Compose

Code entry points:

• Backend app: backend/app/main.py
• Frontend app: frontend/src/App.tsx
• Docker services: docker-compose.yml

Data Pipeline

At startup, the backend seeds indicator metadata and launches the API via backend/startup.sh.

The scheduler in backend/app/services/scheduler.py:

• runs an initial ETL job on startup
• refreshes indicators on a recurring schedule
• ingests AAS, crypto, metals, and sector-projection data
• recalculates the Alternative Asset Stability framework

Representative data sources include:

• FRED for macro and rates data
• Yahoo Finance for equity and market pricing inputs
• CoinGecko for crypto market data
• DeFiLlama for DeFi and stablecoin context
• metals-specific sources including COMEX, ETF, and central-bank feeds

Docs

Active project documentation now lives under the docs/ folder.

• Alternative assets and AAS: docs/alternative-assets.md
• Discord integration: docs/discord.md
• Secret Options: docs/secret-options.md
• API reference draft: docs/api-contract.md

Notes

• The repository is public, but the project is not licensed as open-source software.
• Historical or superseded planning material remains under archive/.

License

All rights reserved.

This project is source-available for viewing only. No permission is granted to use, copy, modify, distribute, sublicense, sell, or create derivative works from this code without prior written permission from the copyright holder.

See LICENSE.

Links

• Production: marketdiagnostictool.com
• Repository: github.com/meyer-s/Market-Diagnostic-Dashboard
• Docs folder: docs