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Minneapolis, MN –
Deephaven’s CEO and Founder, Peter Goddard, and his colleagues created the technology in 2012 as part of his previous company, Walleye Capital. This quantitative trading firm employs data-driven investment strategies across a range of asset classes and holding periods. When Deephaven evolved into its own company, Goddard and his engineers took the lessons they had learned in the Wall Street trenches to serve a greater variety of use cases.
Now, as part of this announcement, Deephaven is emphasizing its objective to employ its experience in the competitive environment of Wall Street trading to greatly enhance the software development and data technology of other industries.
Capital markets have embraced digitization and automation since the 1990s, with banks, hedge funds and brokers all being built on the foundation of real-time data. Algorithmic trading, which integrates automation and machine learning to carry out high-frequency orders, has been prevalent for nearly three decades.
Deephaven is capitalizing on Wall Street’s deep experience with real-time data to deliver efficiencies, enhance experiences, and boost productivity in other industries. Data-driven organizations have been shown to be 23 times more likely to bring in new customers and 19 times more likely to be profitable compared to companies that fail to use data effectively. Deephaven is employing its unique insight into real-time data infrastructure to provide technology for these data-driven opportunities for a greater range of companies.
“Wall Street’s approach to technology, along with the way in which it operates with real-time data, is a relevant complement to Silicon Valley’s cadre of tech firms. Real-time systems have been our lifeblood for decades, so it’s exciting to be a part of its adoption in other industries,” outlines Peter Goddard.
Media Contact:
Name: Deephaven Data Labs+1 (855) 828-8445
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