Finra plans machine learning push against market rigging
ML trained to find spoofing and layering
The US Financial Industry Regulatory Authority (Finra) is expanding its use of machine learning for market surveillance, as it continues to refine its algorithms to trace manipulation.
Steve Randich, chief information officer at the industry self-regulatory body, tells Risk.net sister website WatersTechnology that the regulator plans to increase the use of AI for surveillance to handle easier-to-detect instances of fraud, thus freeing up human surveillance professionals to focus on more complex
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