🧮 Aggregation and Validation
To ensure reliability, accuracy, and resistance to manipulation, QIE Oracle implements a robust data aggregation mechanism.
🔗 Aggregation Process
Multi-source data collection Price data is fetched simultaneously from multiple trusted sources.
Aggregation logic A median or weighted average is calculated to determine the final price value.
Outlier detection & filtering Anomalous or outlier values are automatically identified and excluded from the final calculation.
✅ Why This Matters
This aggregation mechanism ensures that:
A single faulty or malicious data source cannot compromise the overall system.
The Oracle publishes a consensus-based price that accurately reflects real market conditions.
The resulting data is more stable, trustworthy, and manipulation-resistant, especially during high volatility.
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