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

LSE Looking to the Future for TradElect

Subscribe to our newsletter

Following the tech blogs as we do, it’s been interesting to follow the smoke concerning the London Stock Exchange and the future of its TradElect system. Now it seems there’s some fire there, with the LSE acknowledging that it’s looking at the future of the platform, and how to keep the exchange in the low latency arms race that it competes in against traditional foes NYSE and Nasdaq, and upstarts like Bats and Chi-X.

TradElect – the LSE’s core matching system – was introduced by the LSE as recently as 2007, though it’s based on a design that kicked off around 2003. The cost of the system – developed by Accenture – has been put by some at around £40 million, and its performance is such that trades complete in 3.7 milliseconds for securities from its traditional UK markets as well as those from the LSE’s acquisition of Borsa Italiana. That’s not exactly sluggish, given the term “low latency” wasn’t really in common use when the design was hatched.

Some geeky bloggers have suggested that the system’s Microsoft Server 2003 and SQL Server 2000 operating stack, which runs on Intel-based HP ProLiant servers, represents a fundamental design flaw. Highlighting a failure of the system in September 2008 (which the exchange said was caused by a software bug), they suggest that a Linux-based system would be better suited for mission-critical applications and for minimising latency.

Linux is indeed used by the NYSE and Chicago Mercantile Exchange for its core systems. On the other hand, for the LSE, it’s likely that significant latency reduction can be achieved by upgrading the existing core technology to Microsoft’s latest HPC and database software, and upgrading the hardware to systems running Intel’s latest Nehalem chips. That’s got to be easier than a total system redux, even if it’s a stop-gap measure.

Whether the LSE upgrades or replaces TradElect, it will likely call upon internal resources to lead the development, after ending its outsourcing deal with Accenture (which will cease to provide services in March 2010) and bringing staff back in house. It also picked up IT expertise from Borsa Italiana, especially in areas such as fixed income and derivatives trading, clearing and settlement, and web-based user interfaces.

The LSE’s technology group is now around 300 strong, and the current management regime is apparently keen on keeping core expertise internally, while working with specialist external vendors as needed. For example, in developing its Baikal dark pool, the LSE turned to Fidessa for order management and smart order routing technology and QuantHouse for market data.

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

Flow Traders Extends ETF Market-Making Playbook to 24/7 Tokenised Asset Liquidity

Flow Traders, the Amsterdam-headquartered global trading firm, has launched an OTC platform offering 24/7 two-way proprietary liquidity for tokenised money-market funds, equities and commodities. The offering, delivered through the firm’s Digital Asset OTC platform, covers assets including Franklin Templeton’s BENJI tokenised money-market fund and Tether Gold (XAUT), with institutional counterparties able to access liquidity via...

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

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...