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

Upcoming Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining...

BLOG

From Noise to Signal: How AI is Revolutionising Data Discovery for Traders and Investment Managers

The financial markets have never suffered from a lack of data. If anything, the challenge for modern traders and investment managers is quite the opposite: they are drowning in it. From real-time pricing and news feeds to unstructured earnings call transcripts and social media sentiment, the volume of information is immense. The critical differentiator in...

EVENT

TradingTech Summit New York

Our TradingTech Summit 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

Putting the LEI into Practice

Hundreds of thousands of pre-Legal Entity Identifiers (LEIs) have been issued by pre-Local Operating Units (LOUs) in the Global LEI System (GLEIS), and the standard entity identifier has been mandated for use by regulators in both the US and Europe. As more pre-LEIs are issued ahead of the establishment of the global systems’ Central Operating...