Data scientists at Morgan Stanley are scratching their heads after observing a mysterious modal pattern in market data, which they attribute to systematic trading activity.
When Morgan Stanley’s electronic trading group studied the time interval between trades in Sony Corp. stock on the Tokyo Stock Exchange on Feb. 29, 2012, they expected to see a pattern of exponential decay, with bigger gaps between trades as the number of trades decreased.
Instead, they found a strange modal pattern. Lots o
Jesse Lund talks about real uses for DLT in the capital markets, lessons learned while rolling out IBM's blockchain platform, and what’s ahead for 2018, and into 2019.Subscribe to Weekly Wrap emails