Multi-Source Aggregation Logic

Multi-Source Aggregation Logic refers to the mathematical and algorithmic methods used to combine price data from various sources into a single, reliable price point. This logic often involves calculating the median, weighted average, or trimmed mean of the collected data to minimize the impact of individual faulty or malicious sources.

The goal is to produce a price that is robust against manipulation and representative of the true market value. In derivative protocols, this logic is implemented in smart contracts to ensure that the pricing engine is not overly dependent on any single oracle feed.

By carefully designing the aggregation logic, developers can balance the need for accuracy with the need for security, creating a resilient foundation for all financial operations on the platform.