Developer shows how to test market data health without live market access
A blog post on DEV Community presented a Python function for assessing the health of a financial market data feed. The function evaluates inputs like market open status, timestamps, and data receipt times to classify data freshness. It is designed for testing observability without needing live market credentials or a running WebSocket connection. The accompanying article explains the logic for handling edge cases like stale data and system clock differences. The post includes test fixtures to validate the classification behavior under various simulated conditions.
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