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: Modernising Equities Trading Infrastructure: Architecture, Resilience and the Economics of Change

Equities markets are entering a more distributed, always-on phase. Liquidity is fragmenting across venues and geographies, trading hours are extending toward 24/5 and beyond, and market data volumes, investor expectations and competitive pressure are all rising at once. Many of the platforms that still underpin the equities industry were built for a different era –...

BLOG

ICE Compass Sets AI Against Information Leakage in Fixed Income Trading

Earlier this month, ICE launched ICE Compass, an AI-driven pre-trade analytics platform that ranks dealers on the competitiveness of their pricing and estimates where a fixed income trade is likely to clear before the buy side signals any intention to transact. T. Rowe Price, which provided feedback through development and beta testing, has signed on...

EVENT

Alternative Data Conference Hong Kong

Following the success of the Alternative Data Conferences in NYC and London, A-Team Group is excited to announce the launch of the Alternative Data Conference Hong Kong!

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...