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

A-Team Insight Blogs

Murex Offers Cloud Connectivity via AWS to LSEG’s Real-Time Data Services

Subscribe to our newsletter

Murex, the trading, risk and processing solutions provider for capital markets, has added a cloud hosting and delivery option for clients seeking to integrate real-time data from the London Stock Exchange Group (LSEG) with its MX.3 trading and risk management platform. Using the new capability, customers will be able to access LSEG’s Real-Time Optimized solution via Amazon Web Services (AWS), allowing for deployment of MX.3 in Amazon’s cloud environment.

LSEG’s Real-Time Optimized service offers fast and simple access via the cloud to real-time market data from hundreds of exchanges and over-the-counter markets globally.

The integration with Murex marks another step forward in LSEG’s cloud strategy, following its announcement of a 10-year strategic partnership with Microsoft in December last year.

The new connectivity enables Murex clients to select their preferred method for retrieving real-time market data on the MX.3 platform and to choose from three different deployment models offered by LSEG: Real-Time Optimized (RTO), where both MX.3 and real-time infrastructure are deployed via the cloud, on AWS; Real-Time Managed Distribution Service (RTMDS), utilising real-time infrastructure set up in LSEG’s private cloud and managed by LSEG; and Real-Time Distribution System (RTDS), deployed on-premises and managed by the client.

Commenting on the collaboration, Alexandre Belingard, head of market data connectivity at Murex, stated: “We are happy to be collaborating with LSEG on the cloud. The ability to install MX.3 and plug it easily and quickly with the Real-Time Optimized feed on the cloud enables clients to reallocate their resources in tasks that create added value and differentiation.”

Stuart Brown, group head of enterprise data solutions at LSEG, added: “MX.3 is the key front-to-back-to-risk platform for many of our customers and we are now able to power this solution through our recent data innovations. This is another great example of how an LSEG business is making real-time, historical and reference data access more open, accessible, and efficient for the financial markets.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Reviewing the Latency Landscape and the Next Generation of Ultra-Low Latency Infrastructure

Ultra-low latency is no longer the preserve of a handful of proprietary trading firms. As new asset classes electronify, data volumes surge, and regulatory expectations around execution quality and resilience tighten, the performance demands on trading infrastructure are broadening across sell-side desks, electronic market makers, and an expanding range of buy-side participants. The technology landscape...

BLOG

The New Economics of Equities Trading Infrastructure

How modular architecture, 24/5 trading, and the rising cost of change are reshaping equities infrastructure By Ian Salmon, Head of Accelerator Program, Adaptive. Equities trading infrastructure has traditionally been judged against a familiar set of measures: latency, throughput, reliability and the ability to remain stable during periods of intense market activity. Those requirements remain fundamental....

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

ESG Handbook 2021

A-Team Group’s ESG Handbook 2021 is a ‘must read’ for all capital markets participants, data vendors and solutions providers involved in Environmental, Social and Governance (ESG) investing and product development. It includes extensive coverage of all elements of ESG, from an initial definition and why ESG is important, to existing and emerging regulations, data challenges...