Aiden Arrival uses trading and market data to help the bank’s Canadian and U.S. equity-trading clients minimize the difference between the price when an order is placed and when it is executed. (The Logic)
Aiden Arrival uses trading and market data to help the bank’s Canadian and U.S. equity-trading clients minimize the difference between the price when an order is placed and when it is executed. (The Logic)
Aiden Arrival uses trading and market data to help the bank’s Canadian and U.S. equity-trading clients minimize the difference between the price when an order is placed and when it is executed. (The Logic)
Talking point: The new algorithm—the second released on the Aiden platform—is the latest output of RBC’s AI efforts. The bank opened its Borealis AI division in Toronto in September 2016. The unit does basic research to expand the field of machine learning, but also contributes to product development. RBC launched Aiden in October 2020. The unit now has about 115 staff with 40 PhDs at four labs, RBC spokesperson Anthony Graziani said. It’s not the only bank building AI into products, although many have so far focused the tools on the consumer side of their businesses.
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