International Business Machines Corporation
Detection of market abuse patterns by artificial intelligence
Last updated:
Abstract:
An approach for training a machine learning model to detect market abuse patterns based on graphical images is disclosed. The approach comprises of creating trade event graphical images based on one or more rules and creating trade risk event graphical images represented by one or more horizontal lines and one or more vertical lines wherein the one or more vertical lines are based on unstructured data. The approach trains a model of a machine learning network to detect market abuse patterns based on the trade event graphical images and the trade risk event graphical images.
Status:
Grant
Type:
Utility
Filling date:
20 Jul 2020
Issue date:
7 Jun 2022