Trumid Uses Machine Learning to Help Users Find Trading Opportunities

The new functionality provides a list of bonds that are most likely to trade in the near term.

Bonds

Mike Sobel, president of Trumid, tells WatersTechnology that LTS aggregates both exogenous information (i.e. market data) and Trumid's endogenous data (i.e. users' watchlists, indications of interest and historical trading patterns), and distills that down to create a ranking of bonds that are most likely to trade at that moment of the day.

"This is about delivering value in the form of better information analysis for people in order to attract their interest and eyeballs and earn their screen

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