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

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

LSEG Collaborates with AWS to Support Real-Time Data Infrastructure

London Stock Exchange Group has announced a collaboration with Amazon Web Services aimed at modernising the infrastructure underpinning its real-time market data services, as part of a broader cloud transformation strategy. Under the collaboration, LSEG will leverage AWS services to support the collection, routing, and distribution of its Full Tick and Real-Time Optimized data, while...

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

Trading Regulations Handbook 2021

In these unprecedented times, a carefully crafted trading infrastructure is crucial for capital markets participants. Yet, the impact of trading regulations on infrastructure can be difficult to manage. The Trading Regulations Handbook 2021 can help. It provides all the essentials you need to know about regulations impacting trading operations, data and technology. A-Team Group’s Trading...