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

Bloomberg BQuant Wins A-Team AICM Best AI Solution for Historical Data Analysis Award

When global markets were roiled by the announcement of massive US trade tariffs, Bloomberg saw the amount of financial and other data that runs through its systems surge to 600 billion data points, almost double the 400 billion it manages on an average day. “These were just mind-blowingly large volumes of data,” says James Jarvis,...

EVENT

TradingTech Summit New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Entity Data Management Handbook – Fifth Edition

Welcome to the fifth edition of A-Team Group’s Entity Data Management Handbook, sponsored for the fourth year running by entity data specialist Bureau van Dijk, a Moody’s Analytics Company. The past year has seen a crackdown on corporate responsibility for financial crime – with financial firms facing draconian fines for non-compliance and the very real...