Whitepaper on Machine Learning in Trade Surveillance

by Lucht Probst Associates GmbH | White Paper

Legacy trade surveillance systems frequently suffer from several inefficiencies, e.g., a high number of false positive alerts, low alert quality and insufficient surveillance coverage. As a result, legacy systems do not only impose high cost related to manual alert handling and maintenance, but do also open windows for market abuse practices remaining undetected.

About Lucht Probst Associates GmbH

Our mission is to apply deep domain expertise to tailor technology and advisory solutions enabling clients in the financial world to remain agile and efficient in complex, changing environments.

Our vision statement is to unlock potential in the financial services industry enabling agility and client focus.

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