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 Trade and Book Updates Synchronisation Feature to Data Feeds

Subscribe to our newsletter

QuantHouse has responded to client requirements with a trade and book updates synchronisation feature that allows trades and book updates to be reconciled when consuming data in real time, or when working with historical data.

The feature is available on QuantHouse’s QuantFEED and ConsolidatedFEED, and is focused on feeds from derivatives exchanges. It is currently live for EUREX, CME and ICE feeds. By synchronising trades and book events, QuantHouse says firms can do more advanced research and improve back-testing of their strategies to reach more informed trading decisions.

Pierre Feligioni, co-founder and CEO at QuantHouse, says: “Reconciliation of trades and book updates has been a recurring challenge for market participants who are always looking for more accurate back-testing of trading strategies. We are pleased to offer this new capability in response to client demand.”

QuantFEED is an ultra-low latency fully managed solution designed to capture, normalise and disseminate market data for more than 140 feeds, available via a single API. ConsolidatedFEED is QuantHouse’s cost-effective global consolidated feed designed to feed a wide range of consuming applications. The consolidated market data feed is powered by QuantFEED technologies and QuantLINK high performance trading infrastructure.

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

DiffusionData Targets Agentic AI in Finance with New MCP Server

Data technology firm DiffusionData has released an open-source server designed to connect Large Language Models (LLMs) with real-time data streams, aiming to facilitate the development of Agentic AI in financial services. The new Diffusion MCP Server uses the Model Context Protocol (MCP), an open standard for AI models to interact with external tools and data...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...