Davos
Davos: ‘Future of Jobs’ Report Predicts Fintech Shift
Elise Fleischaker
By Anna Reitman, Finance Magnates | January 22, 2016 A major shake-up in employment across financial services can be expected thanks to advanced technologies like machine learning, according to a high profile report presented at this week’s World Economic Forum in Davos, Switzerland. For anyone watching the way one asset class after another is going electronic, the prediction that robots will be running trading systems of the future might seem axiomatic. But does that mean there’ll be fewer jobs in
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The Disruptors: The Fintech 7 List
Elise Fleischaker
Neurensic was named to Futures Magazine's FINTECH 7 market disruptors list.  For more information check out the original article in Futures Magazine.
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China Should Follow the Futures Markets Blueprint
Elise Fleischaker
By Leo Melamed | December 10, 2015   During the last century computer technology moved mankind from the vast to the infinitesimal. This fact is of great relevance in understanding the growth of derivatives. In the physical sciences, at the outset of the century, Albert Einstein’s theory of General Relativity dealt with the universe—the very big. As the century progressed we journeyed to quantum physics—the very little. As a result of this process civilization gained the ability to produce the
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Inside One Chicago Startup’s Plan to Target Spoofers
Elise Fleischaker
By Lynne Marek, Crain's | December 9, 2015   As trading companies scramble to obey new anti-spoofing rules, one Chicago software startup stands to benefit from the rush to comply. Chicago-based Neurensic, formed this year by David Widerhorn and three co-founders, has raised $3 million to expand a software business that sells tools to help futures traders and brokers follow the rules barring disruptive trading practices, like spoofing. "Spoofers" place orders with the intent to quickly snuff them out and
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Neurensic’s David Widerhorn Speaks with FIA Expo 2015
Elise Fleischaker
https://vimeo.com/145668037
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Machine Learning and Spoofing: A New Type of Tool for a New Type of Rule
Elise Fleischaker
By Blake Hausladen and David Widerhorn | November 04, 2015 Neurensic is a Chicago-based company that has developed a set of tools for the detection of disruptive trading practices such as spoofing. It uses a form of artificial intelligence to search through trading data and identify patterns of activity that may raise a red flag for regulators. In this article, two of Neurensic’s founders explain how machine learning works and why it is particularly suitable for this type of compliance
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Neurensic Launches Artificial Intelligence Product Suite to Modernize the Trading Industry
Elise Fleischaker
Chicago, November 4th, 2015 — Neurensic, Inc. today announced the launch of their next-generation product suite at the 31st annual FIA Futures & Options Industry Expo. Headquartered in the Chicago Board of Trade Building, Neurensic provides business intelligence software that leverages machine learning technologies to address the significant compliance and operational challenges facing the trading industry. At the Expo, they released two products: CORE™ is the trading industry's first intent-based surveillance solution, motivated by the sophisticated compliance demands of today’s
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