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 Adds Exchange Data International to API Ecosystem

Subscribe to our newsletter

QuantHouse has added Exchange Data International (EDI) to the qh API Ecosystem it established last September as a framework for fintech firms to offer their products as on-demand solutions available through open APIs, and API based users, particularly hedge funds and automated trading firms, to access trading solutions without the complexity of integration.

The addition of EDI allows firms integrated with the QuantHouse ecosystem to access EDI’s securities reference data and end of day pricing services designed to enhance a quant’s trading decisions. Data coming into the ecosystem is normalised, ensuring services can be rapidly and widely distributed to the qh API Ecosystem community.

Jonathan Bloch, CEO at EDI, says: “The QuantHouse model offers an open and flexible API- enabled framework that we anticipate will increase the distribution reach of our data reference services. QuantHouse’s API Ecosystem removes the complexity of API build and allows customers to access EDI on demand and within a faster implementation time.”

Pierre Feligioni, co-founder and CEO at QuantHouse, adds: “EDI is a valuable addition to the QuantHouse Ecosystem. Traders need access to complete reference data services at an efficient price point. As the original cost of API build has been born by QuantHouse, the frictional costs of adoption of services such as EDI’s are reduced and there is no need for members to set up subsequent APIs to access additional services in the future.”

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

The New ROI: How Cloud Data Is Driving a Strategic Shift in Financial Markets

Cloud migration in financial markets has evolved from a cost-saving exercise into a cornerstone of strategic performance. As firms modernise their trading and data infrastructure, the emphasis has shifted toward scalability, innovation, and long-term competitive advantage. Drawing on findings from LSEG’s Cloud Strategies in Financial Services report and insights from Kristin Hochstein, Global Head of...

EVENT

Eagle Alpha Alternative Data Conference, Spring, New York, hosted by A-Team Group

Now in its 9th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Managing Valuations Data for Optimal Risk Management

The US corporate actions market has long been characterised as paper-based and manually intensive, but it seems that much progress is being made of late to tackle the lack of automation due to the introduction of four little letters: XBRL. According to a survey by the American Institute of Certified Public Accountants (AICPA) and standards...