# Darbs Signal (DARBS) - Full Quantitative Reference

> Quantitative verification engine filtering public market data, SEC filings, dark pool block prints, social sentiment linguistics, and technical momentum into single-composite rating indexes (0-100).

## 4-Factor Mathematical Methodology
$$\text{Darbs Score} = (0.25 \times \text{Social NLP}) + (0.25 \times \text{Technical Momentum}) + (0.25 \times \text{Valuation Premium}) + (0.25 \times \text{Institutional Flow})$$

- **Social Sentiment NLP (25%)**: Sentiment scoring with retail noise and bot spam filtration.
- **Technical Momentum (25%)**: Institutional trend continuity, RSI, and MACD divergence analysis.
- **Valuation Premium (25%)**: Normalized forward cash flow yield vs. benchmark interest rates.
- **Institutional Flow (25%)**: Dark pool block prints, Form 4 insider acquisitions, and inter-exchange option sweeps.

## Signal Classifications
- **LONG (Score $\ge 70$)**: Strong multi-factor confluence and institutional accumulation.
- **WAIT (Score $46 - 69$)**: Mixed factors; consolidation regime.
- **SHORT (Score $\le 45$)**: Downward factor divergence or institutional distribution.

## Endpoints
- `GET /api/v1/signals/{symbol}` -> `{ symbol, darbsScore, signal, price, factors: { socialSentiment, technicalMomentum, valuationPremium, institutionalFlow }, timestamp }`
- `GET /.well-known/api-catalog` -> RFC 9727 linkset metadata
- `GET /.well-known/agent-skills/index.json` -> Agent Skills index
- `GET /docs/api/openapi.json` -> OpenAPI 3.1 specification