January 2020, by UVM Today

Brian Tivan, Colin Van Oort, and John Ring
UVM Computational Finance Lab founder and lead scientist Brian Tivnan (left) along with founding members Colin Van Oort and John H. Ring IV. (Photo: Josh Brown)

A team from the Computational Finance Lab at UVM made a first-of-its-kind comprehensive study of the U.S. stock market. They found billions of opportunities over the course of one year for some traders to get price information sooner than others allowing so called high frequency traders to buy stocks at slightly better prices, and then, in far less than the blink of an eye, turn around and sell them at a profit.

December 2019, by UVM Today

John Ring with ThreatStack employees
John Ring, center, with members of Threat Stack’s Security Operations team at the company’s Boston headquarters. Ring, a doctoral candidate in UVM’s Computer Science department, was embedded at the company for two weeks this fall.

This fall Threat Stack and UVM began a relationship with the potential to offer significant benefits to both the company and the university. Skalka, fellow Computer Science faculty member Joe Near and doctoral candidate John Ring have begun a project designed to enhance Threat Stack’s threat assessment process with artificial intelligence that could make cloud-based cybersecurity more efficient and accurate and lengthen the company’s lead in the marketplace.

Febuary 2019, by The Wall Street Journal

WSJ Dislocation Example

A federally funded study provides new evidence of momentary pricing discrepancies that researchers say can be exploited by high-speed traders looking to make a quick profit.