What Is the Process of "Data Sanitization" Performed by Off-Chain Aggregators? ⎊ Path

What Is the Process of “Data Sanitization” Performed by Off-Chain Aggregators?

Data sanitization is the process of cleaning and validating raw price data collected from various sources. This involves identifying and removing outliers, filtering out stale or obviously manipulated data points, and standardizing the format.

This ensures that the aggregated price feed is not skewed by a single, erroneous, or malicious data source before it is passed to the on-chain oracle nodes.

How Do Exchanges Ensure the Integrity of the Data Used for the Reference Rate Calculation?

Why Do Developers Choose to Implement or Remove ASIC Resistance in Their Protocols?

What Is the Difference between a “Median” and a “Mean” Calculation in an Aggregate Index?

What Is the Purpose of Applying a “Trimming” Methodology to Reference Rate Data?

How Do Off-Chain Data Aggregators Contribute to Decentralized Oracle Security?

What Is ‘Data Sanitization’ in the Context of Oracle Feeds?

How Do Index Providers Manage Exchange Outages or Data Quality Issues during a TWAP Period?

Why Is the Median Calculation (MWAP) Often Considered More Robust against Outliers than the Mean (TWAP)?

Glossar

Statistical Methods

Analysis ⎊ Sophisticated statistical methods are indispensable for the analysis of high-frequency crypto market data, particularly for estimating volatility surfaces relevant to options pricing.

Aggregated Price Feed

Mechanism ⎊ The Aggregated Price Feed functions as a critical data oracle, synthesizing real-time asset valuations from numerous disparate exchange sources into a single, robust data point.