Speed and sense key challenges for algorithmic trading in future

Algorithmic trading is now used in the majority of marketplaces and the race is on to bring about new developments and find solutions to the challenges it poses.

"As algorithmic trading allows us to do so much more and do it so much faster, there is a greater risk exposure. Monthly or even weekly analysis of risk isn't going to cut it anymore. We need to have an up-to-the-second handle on risk exposure. So we now incorporate real-time risk management into our systems," says John Bates founder

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