@APRO Oracle
Oracle Infrastructure and Signal Quality
In automated financial systems, the most dangerous problem is not missing information, but misleading signals. Markets constantly generate noise, and not every price movement deserves to trigger protocol-level action.
Oracle infrastructure exists to separate signal from distortion. The quality of this filtering process determines whether protocols respond proportionally or overreact. When data pipelines treat all movement as equally meaningful, systems become fragile during volatility.
Evaluating APRO through this lens shifts focus away from output and toward judgment. How does the oracle decide what qualifies as a valid signal? How are short-lived anomalies handled?
Signal quality is rarely visible during calm markets. It becomes obvious only when conditions are unclear and data confidence is low. Infrastructure that prioritizes disciplined interpretation over aggressive responsiveness tends to protect systems from unnecessary churn.
In DeFi, stability often depends less on information volume and more on information quality.
