What Techniques Are Used to Detect and Handle Stale or Corrupted Market Data?

Techniques include time-stamping data upon receipt and checking for a "heartbeat" or expected update frequency from the exchange. Statistical checks, such as monitoring for sudden, implausible price movements or zero-volume quotes, are also used.

If data is flagged as stale or corrupted, the system typically pauses quoting for that instrument or falls back to a secondary, validated data source.