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

A-Team Insight Blogs

SGX Reaches for Lower Latency

Subscribe to our newsletter

So, Singapore Exchange’s Reach matching engine went live today as planned. Based on Genium Inet technology from Nasdaq OMX, it matches in less than 90 microseconds, door to door, whatever that means. The new system is part of a $250 million upgrade by SGX, also including a new data centre and co-lo facilities.

Apart from Nasdaq OMX, others contributing to Reach’s performance include Mellanox with its InfiniBand switches and messaging accelerator software, and HP, providing blade servers.

Oh, and pre-trade risk functionality for SGX comes from NYSE Technologies, in the form of its Risk Management Gateway.

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

ExeQution Analytics Targets the FX Data Gap with Solas

ExeQution Analytics, the Australia-based trading analytics company, has launched Solas, a new analytics platform designed to help sell-side FX desks bring together market, trade, client and hedging data to gain a clearer view of trading performance, client behaviour and profitability. The platform, initially covering spot, forwards and non-deliverable forwards (NDFs), is aimed particularly at banks...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

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...