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: Agility as Alpha: How Trading Infrastructure Determines Who Wins in Volatile Markets

Tariff shocks, geopolitical realignment and macroeconomic regime shifts are redrawing the investment landscape faster than most firms’ technology stacks can keep up. For hedge funds and asset managers, the ability to move quickly into new asset classes, geographies or strategies is no longer just an operational concern – it is a front-office differentiator and, increasingly,...

BLOG

Tokenisation’s Real Barrier Is Perception, Not Regulation, Summit Panel Argues

Stablecoins account for roughly $300 billion of tokenised value, intraday repo products are running at billions per day on distributed ledger infrastructure, and at least one retail venue has processed $25 billion in tokenised equity trading. Yet institutional adoption remains sluggish, held back, a panel at A-Team Group’s TradingTech Summit London 2026 argued, less by...

EVENT

Data Management Summit London

Now in its 17th year, Data Management Summit (DMS) London returns In April 2027, to explore how to use data and AI to drive measurable business outcomes reliably, repeatedly and at scale.

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...