Aggregated Feed Accuracy

Aggregated feed accuracy refers to the degree to which the final price produced by an oracle reflects the true, fair market value of an asset. It is the result of carefully choosing the data sources, the aggregation method, and the frequency of updates.

High accuracy is critical for the correct functioning of all financial derivatives, as any deviation can lead to unfair outcomes and systemic risk. To ensure accuracy, protocols must continuously monitor the performance of their feeds and be prepared to make adjustments if data sources become unreliable or if market conditions change.

This involves regular auditing, testing, and a commitment to transparency in how the price is calculated. It is a fundamental requirement for building trust in decentralized finance.