Data Aggregation Strategies

Data aggregation strategies are methods used by oracle networks to combine multiple data points into a single, reliable value for smart contracts. Common techniques include calculating the median of reported prices, which effectively filters out outliers caused by faulty nodes or market anomalies.

Other strategies involve weighted averages based on node reputation or stake, ensuring that more reliable participants have a greater impact on the final output. By aggregating data from diverse sources and multiple nodes, the network reduces the impact of localized errors or manipulation attempts.

These strategies are essential for achieving a "source of truth" that is robust enough for high-stakes financial operations. The choice of strategy directly affects the accuracy and responsiveness of the price feed in volatile market conditions.