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

NovaSparks Adds NovaLink to Provide FPGA to FPGA Tick to Trade Link

Subscribe to our newsletter

NovaSparks has added NovaLink to its portfolio of field programmable gate array (FPGA) solutions, creating an FPGA-to-FPGA tick to trade link that allows trading firms to receive NovaSparks ticker plant market data directly into their FPGA trading systems.

NovaLink avoids the need for market data to be consumed by data server software and distributed using either PCIe or Ethernet Multicast links and instead allows data to be consumed through an application programming interface running on an FPGA and including a normalised interface.

Using NovaLink, trading firms can offload feed handler functions from their algo strategy and order entry FPGA chips to the NovaTick ticker plant, giving them more space on their FPGAs to implement large scale trading strategies that won’t otherwise fit on a single chip.

Olivier Baetz, chief operating officer at NovaSparks, explains: “Many trading firms put market data, their algo strategy and order entry on one FPGA. As there is very little room on an FPGA, this means compromises must be made, perhaps there will be only one market data feed on the chip, a simple strategy or limited order entry. Using NovaLink to offload market data feed handlers to other FPGAs in NovaTick leaves room for trading firms to implement more sophisticated strategies that can consume thousands of instruments across many markets and asset classes.”

Baetz acknowledges that the use of two FPGAs includes an extra hop and means the NovaTick and NovaLink solution may not necessarily be the fastest, but says it is still very fast and suggests traders wanting to implement sophisticated strategies will find it interesting. In terms of speed and measuring from the wire on the market side to the trading firms’ FPGA, average latency using NovaLink is 1 microsecond for order based feeds like Nasdaq Total ITCH, and 750 nanoseconds for level based feeds like Chicago Mercantile Exchange MDP3.

A couple of NovaSparks customers are beta testing NovaLink, which is available immediately and is expected to find favour among high frequency and other speed traders. Baetz says: “While a number of vendors sell individual components of ticker systems that must be assembled to develop trading strategies, NovaSparks offers a turnkey ticker platform that is dedicated to market data, includes a fully featured feed handler and is based on FPGAs. It doesn’t require developer work and allows trading firms to avoid the expense of developing and maintaining feed handlers.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...

BLOG

Quantum Readiness in Trading: Why Cryptography and Data Governance Matter More Than Qubits

Quantum computing is becoming one of the most widely discussed emerging technologies in financial markets infrastructure. In industry commentary, the technology is often framed either as a revolutionary engine for trading performance or as an existential threat to the cryptographic systems that secure global finance. In practice however, the near-term impact is likely to be...

EVENT

Eagle Alpha Alternative Data Conference, London, 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...