Trade Monitoring and Pattern Matching with Flink and Kafka

Financial markets generate one of the densest streams of real-time data we can observe today. Price ticks, order submissions, cancellations, executions, and settlement instructions all occur at millisecond scale. Within that torrent of activity, regulators and trading firms need to detect suspicious behavior: wash trades, spoofing, layering, or coordinated account activity. The traditional approach—batch analysis […]

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