Detection of market abuse patterns by artificial intelligence
AssigneeInternational Business Machines Corporation
InventorsBalaji Rishi Sundarajan, Sharath C Athrey, Mohan Nagraj Dani
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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.
Claims20
A computer-implemented method for training a machine learning model to detect market abuse patterns based on graphical images, the computer-implemented method comprising:
- creating, by one or more computer processors, trade event graphical images based on one or more rules;
- creating, by the one or more computer processors, 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;
- and
- training, by the one or more computer processors, 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.
A computer system for training a machine learning model to detect market abuse patterns based on graphical images, the computer system comprising:
- one or more computer processors;
- one or more computer readable storage media;
- program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising:
- program instructions to create trade event graphical images based on one or more rules;
- program instructions to create 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;
- and
- program instructions to train 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.
A computer program product for training a machine learning model to detect market abuse patterns based on graphical images, the computer program product comprising:
- one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising:
- program instructions to create trade event graphical images based on one or more rules;
- program instructions to create 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;
- and
- program instructions to train 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.
Dependencies are inferred from the claim text.