A Python-based filtering layer has been developed to address the issue of stale exchange rate data during weekends and holidays. This solution validates incoming data by checking trading days, price changes, and timestamps, ensuring that only accurate information reaches business logic.
This approach prevents false alerts and optimizes resource usage for developers working with real-time financial APIs and WebSocket feeds.
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