# 6.2 Data Pipeline

#### Data Collection Layer

* Real-time API aggregation
* Multi-source market monitoring
* Event subscription architecture
* Continuous liquidity updates

#### Risk Signal Layer

Each metric is normalized into weighted sub-signals contributing to overall risk evaluation.\
Example signals include:<br>

* Ownership concentration
* Liquidity instability
* Whale exits
* Structural vulnerabilities
* Event-driven abnormalities
* Market overheating

#### Contextual Interpretation Layer

The system converts fragmented market data into simplified actionable risk visibility.\
Natural-language interpretation summarizes combined market signals and structural indicators into understandable risk narratives.<br>

#### Risk Score Engine

Weighted aggregation of risk signals produces final risk levels.\
Higher scores indicate higher danger.<br>

* ✅ 0–33 → Safe
* ⚠️ 34–66 → Elevated
* ❌ 67–100 → High Risk


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