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

Luminex Teams with LeveL for ATS Matching Engine Upgrade

Subscribe to our newsletter

Buy-side block trading platform operator Luminex Trading & Analytics has launched a new, faster matching engine using technology provided by erstwhile competitive platform LeveL ATS. The new platform represents what Luminex calls a “dramatic speed upgrade” to the matching engine behind its dark pool, which is available only to buy-side institutions.

Luminex launched in 2015 as a buy-side owned and operated block trading platform, backed by a consortium of nine leading investment management firms: BNY Mellon, BlackRock, Capital Group, Fidelity Investments, Invesco, JP Morgan Asset Management, MFS Investment Management, State Street Global Advisors and T. Rowe Price.

Luminex specialises in enabling low-cost block executions for institutional firms. The new platform was developed in consultation with clients with the aim of achieving unprecedented execution rates when trading large numbers of shares. The Luminex ATS now operates at a rate exponentially faster than before the upgrade and Luminex says its more efficient technology will lead to cost savings that will help Luminex keep its commissions among the lowest in the industry.

Luminex turned to LeveL to assist in the design and implementation of the new platform. While it also operates an alternative trading system (ATS), LeveL doesn’t compete directly with Luminex. LeveL was established in 2006 to offer a continuous crossing dark pool that allows participants – both buy and sell side – to customise their trading strategies in order to target their own lists of counterparties. However, the two venues share many common characteristics and goals: both platforms strive to give customers the opportunity for seamless trading in a highly stable dark pool environment while minimizing information leakage and market impact.

According to Jonathan Clark, CEO at Luminex, “Until now, trading blocks has been among the slower processes on a trading desk. Luminex has been a pioneer in bringing safety to block trading, and today we’re introducing unprecedented speed to the process as well.”

Luminex head of product David Hagen adds: “At launch our platform was cutting-edge, but today every millisecond is an eternity to a matching engine. With this upgrade to microseconds, the technology behind our venue is operating faster and more efficiently for traders. On the back end it’s simpler as well, with a smaller footprint that’s easier to manage, support and upgrade, reducing our costs and leading to savings for our participants.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes 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...

BLOG

Eurex Broadens Market Access with New Sponsored Access Model

Eurex is set to reshape its market access landscape with the introduction of a new “Sponsored Access” model, slated to go live on November 10, 2025. The move is a significant strategic step by Europe’s leading derivatives exchange to lower the barriers to entry for a wider array of market participants, particularly those reliant on...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...