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

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

Infrastructure Modernisation, Intelligent Workflows, Data Strategy and More: A Preview of TradingTech Summit London 2026

The conversation around trading technology has become more exacting over the past year. AI is moving into production environments. Data estates are being rationalised and rebuilt. Infrastructure decisions are increasingly shaped by resilience, transparency and regulatory pressure. Against that backdrop, A-Team Group’s TradingTech Summit London 2026 takes place at a time when firms are reassessing...

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...