The future of trade surveillance
Escalating regulatory obligations demand than financial market participants take a smarter, more proactive approach to spotting abusive trading patterns, with many looking to explore the use of machine learning and artificial intelligence to automate monitoring and anticipate threats. In this article, Mike O’Hara and Chris Hall of The Realization Group hear from Certeco’s Nick Gordon, William Garner from Charles Russell Speechlys, Taras Chaban from Sybenetix, and Nasdaq’s Valerie Bannert-Thurner. While the application of machine learning and artificial intelligence to trade surveillance is in its infancy, the potential of digital technologies to efficiently tackle market abuse appears significant.
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May 12, 2017 at 04:37PM