About a-team Marketing Services
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: From Data to Alpha: AI Strategies for Taming Unstructured Data

Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...

BLOG

TMX Group Agrees to Acquire RAFI Indices from Research Affiliates for US$490 Million

TMX Group has agreed to acquire RAFI Indices from Research Affiliates for US$490 million, adding the fundamental-indexation franchise to its TMX VettaFi indexing and analytics business. The transaction is expected to close by the end of the third quarter of 2026. RAFI Indices is the index business built around the fundamental-indexation methodology developed at Research...

EVENT

RegTech Summit London

Now in its 10th year, RegTech Summit London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to innovate the compliance function and response.

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...