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: The Buy-side Trading Desk of the Future

The buy-side trading desk is facing a structural reckoning. Decades of siloed systems for equities, FX and fixed income have created what COOs increasingly describe as a “silo tax” – duplicated headcount, fragmented data, and operational overhead that is harder to justify now that the underlying workflows have, in functional terms, converged. Thirty years of...

BLOG

Kalshi Takes Prediction Markets into European Securities Infrastructure

Prediction markets are moving another step towards the infrastructure of conventional capital markets, with Kalshi partnering with FCA-regulated structured products issuer Otala.Markets to make exposure to selected event contracts available to European investors through listed securities. Under the agreement, Otala will issue securities referencing markets traded on Kalshi, beginning with contracts linked to US Federal...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

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...