How Fast Can You Make That Trade? How Hypertec servers power HFT

Presented by

Harry Moseley, Advisor & Investor; Patrick Scateni, Hypertec; Bruno Domingues, Intel; Seth Friedman, Liquid Markets Solutions

About this talk

Episode Speakers: Harry Moseley, Advisor & Investor Patrick Scateni, VP Global Sales, Hypertec Bruno Domingues, CTO Worldwide Financial Services, Intel Seth Friedman, CEO and Founder of Liquid Markets Solutions Financial services firms are making transactions at higher volumes and greater speeds than ever, which requires significant computing power. To support this high-frequency trading (HFT), the computer algorithms must be able to analyze multiple markets and execute transactions quickly. The servers that underpin this activity must therefore be cutting-edge, able to consistently deliver unparalleled processing power so that no trade falls through. In this webinar from Hypertec, expert speakers will review HFT servers and the company’s role in the field, from product design to client needs. They’ll look at Hypertec’s new high frequency server and demystify how it helps run ultra-low latency trading platforms without outage, while minimizing risk. Lastly, they’ll discuss the server's impact on the financial industry and how it can help traders execute their trades in the fastest possible time. Don't miss this opportunity to learn about the latest advancements in high-performance computing for HFT, and how it can help you achieve your goals and gain an edge in today's fast-paced markets.
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Founded in 1984, Hypertec is an award-winning global technology provider offering a wide range of cutting-edge products and services with a strong emphasis on sustainability. Trusted by industry leaders in the cloud, communication, financial services, media and entertainment, healthcare, and public sectors, Hypertec serves clients in over 80 countries worldwide. The company has earned international recognition for its sustainability leadership and innovative manufacturing practices. For more information, visit: