How Do Oracles Handle Market Volatility to Ensure Data Integrity?

Oracles manage volatility by implementing dynamic update mechanisms. Instead of fixed time intervals, they often use a "deviation threshold" model.

This means the price feed only updates on-chain when the underlying asset's price moves by a predefined percentage (e.g. 0.5%) or a minimum time has passed (heartbeat).

This ensures the contract always has a relatively current price without incurring excessive gas costs from constant updates.

How Does an Exchange’s Matching Engine Handle High-Frequency Order Book Updates?
How Does a Threshold-Based Push System Optimize Gas Costs?
How Do Oracles Ensure the Data They Provide Is Accurate and Tamper-Proof?
Can a Deviation Threshold Be Bypassed by a Flash Loan Attack?
How Does a ‘Deviation Threshold’ Affect a Data Feed Update?
What Is a “Deviation Threshold” in Oracle Price Feeds?
How Does a “Heartbeat” Relate to the Update Frequency of a Push Oracle?
What Is “Timeliness” and “Freshness” of Data in Oracle Feeds?