QuantHouse, the leading independent global provider of end-to-end systematic trading solutions including innovative market data services, algo trading platform and infrastructure solutions, has been awarded ‘Best Low Latency Data Feed’ vendor at the Intelligent Trading Technology Awards 2017.
The ITT Awards 2017, organised by A-Team Group, are designed to acknowledge excellence in trading technology within capital markets, and focus on the community of specialised suppliers of trading operations technology.
The awards were judged by a carefully selected panel of A-Team Group and Intelligent Trading editors together with other financial services experts. Once firms were shortlisted for a category, winners were then selected by Intelligent Trading readers.
Stephane Leroy, Business Co-Founder and Chief Revenue Officer, QuantHouse, said: “We are delighted to have been awarded the ‘Best Low Latency Data Feed’ at this year’s Intelligent Trading Awards and remain enormously grateful to our clients and the industry for their on-going recognition of our capabilities over the last 12 years. 2017 has been an extremely busy year for QuantHouse and I’d like to take this opportunity to thank our global teams who have worked tirelessly to help our products and services continually stand out from competitive offerings in our space.”
Andrew Delaney, President and Editor-in-Chief, A-Team Group, said: “For many years now we have been watching QuantHouse grow and help their clients adapt to an increasingly electronic trading world, so we are delighted to see the team gain recognition for its pioneering work in high-performance market data systems and algo technologies.”
QuantHouse provides end-to-end systematic trading solutions. This includes ultra low latency market data technologies with QuantFEED, algo-trading development framework with QuantFACTORY and proximity hosting and order routing services with QuantLINK.
We help hedge funds, market makers, investment banks, brokers and trading venues achieve optimal trading performance, develop and integrate new trading strategies, comply with regulatory requirements, test existing and new trading infrastructure tools and rationalise operating costs.