Trumid Uses Machine Learning to Help Users Find Trading Opportunities

Trumid, an all-to-all electronic trading platform provider for corporate bonds, has added a new component to its offering ─ dubbed Likelihood to Trade Score (LTS) ─ that aims to guide traders to the bonds that are most likely to trade “in the very near term.” 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…


Link to Full Article: Trumid Uses Machine Learning to Help Users Find Trading Opportunities

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