About a-team Marketing Services
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: Modernising Equities Trading Infrastructure: Architecture, Resilience and the Economics of Change

Equities markets are entering a more distributed, always-on phase. Liquidity is fragmenting across venues and geographies, trading hours are extending toward 24/5 and beyond, and market data volumes, investor expectations and competitive pressure are all rising at once. Many of the platforms that still underpin the equities industry were built for a different era –...

BLOG

Databento and the Consumerisation of Market Data

Institutional market data has long been associated with complex licensing, specialist infrastructure and lengthy procurement processes. Much of that complexity is unavoidable: exchange data can be technically demanding, commercially restricted and costly to distribute at scale. However, the expectation around how that data should be accessed is changing. As financial firms become more accustomed to...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

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...