About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

S&P Returns to Real-time with QuantHouse Acquisition

Subscribe to our newsletter

It was at the beginning of 2003 that Standard & Poor’s sold its real-time data feeds business – Comstock – to what was to become Interactive Data Corporation in order to concentrate on its then core businesses – ratings, evaluated pricing, reference data. Now, with a lot of water under the bridge, it’s back in the world of cutting edge data feeds and low-latency technology in general with its acquisition of QuantHouse.

Terms weren’t disclosed of course, but S&P Capital IQ – essentially the information division of S&P, headed by former Bloomberger Lou Eccleston – is acquiring QuantHouse not only to provide low-latency data to its customers but also to “build our own unique real-time monitors, derived data sets and analytics.” The goal is to offer “one integrated low-latency feed for all our data, including fundamental, fixed-income, equity and derivatives.”

The QuantHouse acquisition is the latest for Eccleston’s unit. It recently gobbled up analytics vendor R2 Financial Analytics and is in the process of completing on the purchase of Credit Market Analysis from CME Group, as part of a joint venture with the exchange and Dow Jones focused on indices. Indeed, QuantHouse’s feeds and technology will play a big role down the road in delivering those indices to algorithmic trading applications.

QuantHouse brings to S&P a number of components, including low-latency data feeds and transaction infrastructure, FPGA-accelerated feed handlers, and algorithmic trading tools. The company’s 90 employees in Paris, London and New York City will join S&P.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

The New ROI: How Cloud Data Is Driving a Strategic Shift in Financial Markets

Cloud migration in financial markets has evolved from a cost-saving exercise into a cornerstone of strategic performance. As firms modernise their trading and data infrastructure, the emphasis has shifted toward scalability, innovation, and long-term competitive advantage. Drawing on findings from LSEG’s Cloud Strategies in Financial Services report and insights from Kristin Hochstein, Global Head of...

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Connecting to Today’s Fast Markets

At the same time, the growth of high frequency and event-driven trading techniques is spurring demand for direct feed services sourced from exchanges and other trading venues, including alternative trading systems and multilateral trading facilities. Handling these high-speed data feeds its presenting market data managers and their infrastructure teams with a challenge: how to manage...