How the MAS is using AI to spot rogue trading behaviour
Trained using machine learning, the Apollo tool scours trading data for suspicious patterns
The Monetary Authority of Singapore has started using an advanced data science tool named Apollo to help enforcement officers detect misconduct in financial markets, the central bank said in its inaugural enforcement report.
The technology has been put through its paces in equities, but the central bank and financial regulator is looking at whether it could also be trained to spot abuse in the foreign exchange market in the future.
Developed in-house by the MAS, Apollo analyses trading data
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