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 Quantitative Brokers’ Algos to API Ecosystem

Subscribe to our newsletter

QuantHouse has added access to Quantitative Brokers’ (QB) best execution algorithms to its qh API Ecosystem. QB provides specialised algorithmic strategies designed to optimise execution and minimise market impact for outright, listed spread and inter-commodity trades across global futures and US cash treasury markets.

Alastair Hawker, global head of sales at Quantitative Brokers, comments: “QB’s algorithms are designed to provide a hidden footprint while working to achieve the best possible execution. This is made possible by QB’s proprietary micro structure research, analytics, event tracking and short-term pricing signals. We look forward to helping more clients improve their execution through QuantHouse’s ecosystem store.”

Salloum Abousaleh, managing director, Americas, at QuantHouse, adds: “Our quant and systematic buy-side clients, such as global macros, CTAs and hedge funds, can now leverage QB’s advanced algorithms for best execution and analytics. We have seen a significant increase in demand from the buy-side not only for best execution, but also quality insights and access to a dashboard.”

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

Bloomberg Enhances RMS Enterprise to Unlock Proprietary Models and Strengthen Research Oversight

Bloomberg has announced significant enhancements to its enterprise-level Research Management Solution (RMS Enterprise), introducing two new capabilities: Custom Fundamentals and Digest Alerts. The updates are designed to address long-standing data interoperability challenges within investment firms, allowing research teams to better integrate proprietary financial models into their workflows and strengthen oversight across their organisations. For many...

EVENT

TradingTech Summit New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Entity Data Management Handbook – Fifth Edition

Welcome to the fifth edition of A-Team Group’s Entity Data Management Handbook, sponsored for the fourth year running by entity data specialist Bureau van Dijk, a Moody’s Analytics Company. The past year has seen a crackdown on corporate responsibility for financial crime – with financial firms facing draconian fines for non-compliance and the very real...