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Whitepaper on Machine Learning in Trade Surveillance

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.

  • Editorial Team
  • August 17, 2021
  • 1 minute

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.

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