About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

QuantHouse Partners NPL to Meet MiFID II Demands for Precise Trade Timing

Subscribe to our newsletter

QuantHouse has partnered with the National Physical Laboratory (NPL), the UK’s national measurement institute, to offer its clients the NPLTime traceable timestamping service. The service will enable users to evidence the exact moment a trade was executed to within 1 microsecond. This plays well into Markets in Financial Instruments Directive II (MiFID II), which requires organisations to achieve up to 100 microsecond traceability of trading events.

NPLTime provides users with support for traceable timestamping, latency monitoring and time synchronisation, and includes a precise time signal that is directly and physically connected to Coordinated Universal Time (UTC). This enables users to be compliant with MiFID II timestamping requirements and eliminate their reliance on GPS, removing susceptibility to jamming, spoofing, urban canyon effects and space weather.

Leon Lobo, NPL’s strategic business development manager, says: “In today’s markets, timing is everything; precise timing offers competitive advantage and ensures regulatory compliance. MiFID II will make having a highly accurate time standard all the more important, to ensure that transactions completed in microseconds are easily certified.”

Stephane Leroy, QuantHouse chief revenue officer and business founder, notes that by combining NPLTime with the QuantFEED service, clients can get UTC time synchronisation throughout the chain, from market data to order flow.

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

The Matching Engine Was Never the Hard Part: What 24/7 Really Demands of Exchange Architecture

The framing has become familiar. Digital asset exchanges, prediction markets and retail-driven platforms have normalised continuous trading. Traditional venues, with their nightly batch cycles and weekly maintenance windows, are now playing catch-up as they extend hours, tokenise assets and reach for new distribution models. The conventional answer is to point at the matching engine and...

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

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...