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

‘Tick To Trade’ Emerges As Latency Solution

Subscribe to our newsletter

The latency solution developed jointly by Solarflare and LDA Technologies has delivered a lower latency by figuring out how to push packets of information through their system faster and more directly, explains Ahmet Houssein, vice president of marketing at Solarflare.

Using the “tick-to-trade” method of picking up packets sent through a user datagram protocol (UDP), the combination of Solarflare’s network interface controller (NIC) and LDA’s transmission control protocol (TCP) hardware ships a stock tick through to algorithms in a high-frequency trader’s systems. The trader’s algorithm can then execute a trade based on that tick or stock value.

Solarflare and LDA’s latency solution is aimed at high-frequency traders.

“The faster you can make that trade, the faster and more accurate and effective you can be with that trade,” says Houssein. Solarflare and LDA have reduced the time for a transmission of such stock tick information to 120 nanoseconds.

In effect, capabilities or functions normally only in software are executed using hardware in the arrangement between Solarflare and LDA, particularly a field programmable gate array (FPGA). “You can program for the algorithm you want to execute, including extensions,” says Houssein. “Our relationship with LDA provides a capability for those algorithmic applications that can be extended to make decisions and make a trade faster. It solves the piece in the middle of the algorithm — and how fast the algorithm can respond to the tick or the trade.”

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

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

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...