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

A-Team Insight Blogs

Fixnetix and Asperatus Capital Tap NovaSparks For HFT

Subscribe to our newsletter

Fixnetix and its long-time customer Asperatus Capital have tapped NovaSparks to provide them with ultra-low-latency direct market data via its FPGA-accelerated Matrix appliances. That data is used to fuel HFT strategies.

Founded in 2009 in London, Asperatus is an established customer of Fixnetix, which provides it with infrastructure, hosting, co-location and connectivity services to a number of trading markets in “Europe and beyond,” says the firm’s CTO Matthew Copping.

Copping is not detailing what those markets are, but says the success of players like Asperatus is based in part on their agility to leverage new market opportunities. As such, leveraging a managed services provider with a global footprint like Fixnetix makes sense.

Asperatus and Fixnetix evaluated the NovaSparks offering to ensure it could deliver requisite latency, throughput and jitter characteristics before putting it into production. “Fixnetix and Nova Sparks installed and tested the FPGA [system] with minimal downtime or issues. We will be able to add additional markets due to the NovaSparks normalisation layer. Rapid roll-out of new markets only benefits Asperatus,” says Copping.

Subscribe to our newsletter

Related content

WEBINAR

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

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 infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

LTX Brings Agentic Capabilities to BondGPT, Moving From Answers to Execution

LTX has added agentic capabilities to its BondGPT application, allowing users to build AI agents that monitor trader-defined market conditions, generate alerts, create a trade ticket, select dealers, launch an RFQ, accept a price and execute. It extends an application that, when it launched in 2023, was designed to answer questions: a trader could interrogate...

EVENT

Data Management Summit New York City

Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.

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...