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Detection of market abuse
in stock exchange trading


Detection of market abuse in on- and off-exchange securities trading in the data of several million transactions per day 


Use of AI to complement deterministic methods in the form of pattern and outlier detection  


  • Reduction of slippage losses resulting from discrepancies between the quota and actual execution price 
  • Adherence to compliance rules and conformity with the exchange supervisory authority 

Your contact

Andreas Strunz msg

Andreas Strunz
Head of Center of Competence
Financial Artificial Intelligence
msg for banking ag