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

Velocimetrics Adds Context Navigation Panel to VMX EndToEnd Monitoring and Analytics

Subscribe to our newsletter

Velocimetrics, a provider of business flow tracking and real-time, in-stream performance analytics, has made enhancements to its VMX EndToEnd product. The company released VMX v9.0 earlier this year, with the new v9.2 building on this offering and making powerful data lineage more accessible and easier to use.

Among additions to v9.2 is a Context Navigation Panel that allows users to move from low-level, network packet-capture, to high-level statistics, individual business items, and everything in between. The solution has context-sensitive links that relate directly to the data selection made by a user, and will take the user to item selections, network packets, related charts and more.

Steve Colwill, Velocimetrics CEO, says: “Users can quickly move from a high-level, bird’s eye view of the business, to look at data at a very granular level and across different types of information, such as trading patterns, performance, client service KPIs and technical infrastructure.”

While previous versions of VMX EndToEnd collected huge volumes of data in real time, creating time-series recordings and analytics, v9.2 is more powerful in that every measure can be recorded and charted using Velocimetrics Ubiquitous Time-series Recording (UTR). Users can store as much history as they want, and they can specify the granularity of new historical data being stored. The advantage of this is that users don’t need to know in advance what item of information they will want, giving them flexibility and allowing them to generate thousands of analytical measures in real time.

An example of a use case for the Context Navigation Panel in trading latency is a spike in end-to-end pricing latency. The solution allows users to identify the cause, by going from a chart of the spike to individual prices as they move across the system and identify the specific hop, out of say, five, where the problem occurred. Users can also look at packet captures either side of the hop, examine commonalities, and identify the application process or network segment causing the problem.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to move to a modern, component based trading architecture using a Buy AND Build approach

To remain competitive in today’s electronic markets, firms need trading architectures that support rapid innovation, effortless integration of new capabilities, and the agility to respond to shifting market demands. This is prompting technology leaders to move beyond the traditional “Buy vs. Build” debate, a false dichotomy that oversimplifies the choice between generic, off-the-shelf platforms and...

BLOG

Bank of England Targets ‘Critical Data Gaps’ in New $16 Trillion Private Markets Stress Test

The Bank of England (BoE) has launched its second System-Wide Exploratory Scenario (SWES) exercise, turning its regulatory lens toward the opaque and rapidly expanding private markets ecosystem. Following its initial SWES exercise, which focused on gilts and corporate bond markets, the central bank is now targeting the “critical data gaps” inherent in private equity (PE)...

EVENT

Eagle Alpha Alternative Data Conference, Fall, New York, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...