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 Launches API Addressing MiFID II Needs

Subscribe to our newsletter

Trading solutions and market data services provider QuantHouse has launched an algorithmic trading stress-testing service, in API form, geared toward handling the increase in volume of market information and activity expected once MiFID II regulation takes effect in 2018, according to Stephane Leroy, business co-founder and chief revenue officer at the company.

“The solution enables clients to build stress testing scenarios from two times their highest volume up to ten times peak volume,” says Leroy. “This ensures clients can not only match the MiFID II required thresholds, but through further customisation and using QuantHouses’s flexible API-enabled framework, customers can test and optimise their infrastructure beyond the needs of MiFID II.”

QuantHouse is hosting the new service at an Interxion data centre in London, which improves access for users, according to Leroy. “Firms benefit from being one cross-connect away from being able to meet their algo stress-testing regulatory requirements under MiFID II,” he says.

QuantFeed, the QuantHouse quantitative model testing technology, has been honed for quant traders’ use, which is the basis for the new service, he explains. “Existing capabilities such as storage and back testing in a lab environment have been enhanced with specific features that allow client to stress test processes that mirror specific market conditions,” says Leroy. “This enables customers to test their model against specific market activity peaks and ensures that firms can meet MiFID II requirements.”

MiFID II requires demonstration of capacity and capability to handle market volatility, and QuantHouse’s new API meets those specific requirements, adds Leroy.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

BLOG

Discover What’s Top of Mind for Industry Leaders as aiComms Surge and 99% of Firms Plan to Expand their AI Use

By Esteban Lopez, Product Management, Theta Lake. Building on research conducted by Theta Lake since 2018, the seventh edition of this groundbreaking industry report offers valuable insights into how AI, modern unified communication and collaboration (UCC) platforms, and DCGA tools are being used across financial services organizations. As the growth of UCC tools and AI...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

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...