Data Aggregation Logic

Data Aggregation Logic is the mathematical method used to combine multiple raw data points into a single, reliable price value. Common methods include taking the median, which is highly resistant to outliers, or calculating a volume-weighted average to account for liquidity depth.

This logic must be carefully implemented to ensure that malicious data feeds cannot sway the final price beyond acceptable limits. In the context of financial derivatives, the aggregation logic often includes checks for staleness, ensuring that old data is not used for current settlements.

It is the final gatekeeper of data quality before it enters the smart contract. Sophisticated protocols use dynamic logic that adjusts based on market conditions, such as increasing the weight of high-liquidity sources during periods of high volatility.