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

Tradition Integrates Azul Zing to Increase Trading Predictability and Performance

Subscribe to our newsletter

Tradition, the interdealer broking arm of Compagnie Financière Tradition, has integrated Azul Systems’ Zing Java virtual machine (JVM) into its high performance trading platforms to deliver predictable, high throughput and low latency execution. The company also expects the adoption of Zing to free up developer time that will be used to pursue new revenue streams.

Yann L’Huillier, group chief information officer at Tradition, says: “For a number of years we have been investing significantly in our infrastructure to ensure we offer our clients a best-in-class service. Azul is recognised within the financial services sector as a provider of technology that enhances performance and ensures predictability of trade execution. Once we had successfully tested Zing and measured its clear benefits, it was an easy decision to incorporate Zing into our trading infrastructure.”

Scott Sellers, CEO of Azul, says Tradition, like many other Zing users, is likely to have migrated to Zing from Oracle’s HotSpot JVM, which is a generically good piece of software but has limitations in trading environments demanding extremely low latency and high performance. He explains: “With a conventional JVM, trading systems are not able to deliver consistent low latency with high scalability and certainty of execution. Zing removes the shortcomings of Java, such as inconsistent response times and application jitter, and improves trade execution. It also enables development teams at brokers like Tradition to focus on new capabilities and revenue opportunities.”

Looking forward, Sellers says Azul will continue to work with its customers to develop the Zing JVM and the company’s ReadyNow! technology that solves the warm-up problems of Java applications. It is also looking forward to next year’s release of Java 9 and is working on versions of Zing that will take advantage of advances in the new release.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

BLOG

BitGo and Susquehanna Build First Institutional OTC On-Ramp to Prediction Markets

Prediction markets have attracted growing institutional interest as tools for price discovery around political, economic, and event-driven outcomes, but participation has remained largely confined to retail platforms with workflows that most institutional trading desks cannot operationally support. BitGo and Susquehanna Crypto are now attempting to close that gap with what they describe as the first...

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

Trading Regulations Handbook 2022

Welcome to the third edition of A-Team Group’s Trading Regulations Handbook, a publication designed to help you gain a full understanding of regulations that have an impact on your trading operations, data and technology. The handbook provides details of each regulation and its requirements, as well as ‘at-a-glance’ summaries, regulatory timelines and compliance deadlines, and...