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

BitGo and Susquehanna Build First Institutional OTC On-Ramp to Prediction Markets

Prediction markets have attracted growing institutional interest as tools for price discovery around political, economic, and event-driven outcomes, but participation has remained largely confined to retail platforms with workflows that most institutional trading desks cannot operationally support. BitGo and Susquehanna Crypto are now attempting to close that gap with what they describe as the first...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...