Machines can save 20% on routing orders, UBS says
Machine learning is navigating the labyrinth of venues, figuring out how best to land the trade
The UBS forex, rates and credit trading team has been using supervised machine learning (ML) to route client orders through a virtual maze of venues, shaving as much as a fifth off the bank’s execution costs.
Giuseppe Nuti, a managing director with the Strategic Development Lab in UBS’s foreign exchange, rates and credit business, says the group has trained its machines in how to optimally route and trade so-called child orders, or ones that have been split off an initial ‘parent’ order. The
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