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Murex connects to London Stock Exchange’s RTO solution on AWS

By Gloria Methri

May 31, 2023

  • FinTech
  • London Stock Exchange
  • LSEG
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MX.3, Murex, SaaS, London Stock Exchange, Trading and Capital Markets, FinTech, Real-Time – Optimized, MX.3Murex, the trading, risk, and processing solutions provider for capital markets, has announced that its MX.3 platform can now be connected to the London Stock Exchange Group’s Real-Time – Optimized solution when hosted on Amazon Web Services.

Real-Time – Optimized provides financial firms with fast and simple access to real-time market data from hundreds of exchanges and OTC markets around the world via the cloud.

This connectivity innovation enables Murex clients to choose how they want to retrieve real-time market data in the MX.3 platform. Using the same connectivity, they can choose between three possible deployment models offered by LSEG.

Murex continuously invests to facilitate clients’ transitions to the cloud. As data providers embrace the cloud and offer managed services, the Murex cloud journey includes expanding out-of-the-box connectivity so clients can fully benefit from the latest LSEG Real-Time–Optimized innovations.

“We are happy to be collaborating with LSEG on the cloud,” said Alexandre Belingard, Head of Market Data Connectivity at Murex. “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 said, “We are delighted to be extending the partnership between Murex and LSEG, which sees Murex integrating with our cloud-based Enterprise Data Solutions. 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.”

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