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 Capital IQ Details First Data Service Using Real-Time Technology Acquired with QuantHouse

Subscribe to our newsletter

S&P Capital IQ has gone live with its first data solution based on real-time technology for exchange and market data distribution acquired with QuantHouse in April 2012. The company’s consolidated financial data feed has been up and running since early March and offers normalised, real-time global content from 110 exchanges that can be accessed using a thin application programming interface (API).

The feed consolidates data from 21 points of presence that were previously part of the QuantHouse real-time network infrastructure and provides the data from hubs inside co-location facilities in New Jersey – Equinix’s NY4 data centre in Secausus – and London – Interxion’s data centre in London. A third base to host the data feed is due to open in Hong Kong in the third quarter of this year.

Brian Cassin, managing director at S&P Capital IQ, describes the low-latency consolidated data feed as “the first endeavour with QuantHouse technology to come to market.” He differentiates it from QuantFEED, which he suggests is an end-to-end ultra low latency solution well suited to systematic and algo trading, saying: “The consolidated data feed is for clients that do not have ultra low latency as their most important requirement. They may be looking for low latency, but also broad coverage of global exchange data, data aggregation, normalisation, ease of implementation and ease of data consumption.”

The API can be part of a hosted or deployed solution, and users can call it for data covering anything from regional data, perhaps all North American equities, to specific tranches of securities, perhaps 5,000 securities to price a portfolio.

S&P Capital IQ expects the service to find favour among investment banks, investment managers and wealth managers, but does not rule out interest from its other two customer sectors of corporates and financial institutions. Cassin says: “This feed is good for firms that need to power in-house applications such as middle-office portfolio and risk applications. It could also be used for back-office applications, such as snapshots of real-time data needed to price portfolios and positions.”

To date, the company has signed up one investment management firm for the consolidated feed. With clients in both London and New York, the firm will take data from both the London and New Jersey facilities.

In addition to real-time exchange data, the specialty acquired from QuantHouse, S&P Capital IQ plans to deliver proprietary intellectual property as part of the consolidated data feed. This non-exchange data could be S&P Capital IQ data or other data to which the company has distribution rights and is expected to help users build strategies and applications.

Cassin says the consolidated data feed is the beginning of a series of products that will use QuantHouse real-time technology and grow the overall base of S&P Capital IQ’s business. He expects the next solution in the series to be introduced towards the end of May, but also notes that existing products such as QuantFEED and QuantLINK are benefitting from development funding. “We are building out exchange coverage, which will benefit QuantFEED, and expanding QuantLINK into Asia Pacific, a region that QuantHouse had not reached before the acquisition,” he says.

In terms of partnerships, Cassin notes that S&P Capital IQ’s recent tie-up with TBricks will see the latter’s trading system continue to use QuantFEED, albeit with additional exchange coverage, rather than the consolidated feed as QuantFEED offers lower latency.

Looking at the potential of S&P Capital IQ and its acquired real-time technology, Cassin concludes: “Very simply, large, international financial services providers are eager to find better ways to manage global exchange data and deliver market information to internal and external user groups. S&P Capital IQ’s positioning and reputation give us the opportunity to scale multiple real-time product capabilities into our core customer segments and internal processes.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Date: 16 April 2026 Time: 9:00am ET / 2:00pm London / 3:00pm CET Duration: 50 minutes Unstructured data now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents.  While AI has created new opportunities to extract signal from this data, many firms...

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

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Corporate Actions Europe 2010

The European corporate actions market could be the stage of some pretty heavy duty discussions regarding standards going forward, particularly with regards to the adoption of both XBRL tagging and ISO 20022 messaging. The region’s issuer community, for one, is not going to be easy to convince of the benefits of XBRL tags, given the...