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

QB Offers Algo Trading and Trade Simulator Apps on Bloomberg Terminal

Subscribe to our newsletter

Quantitative Brokers (QB), a provider of algorithms and data-driven analytics for futures and US cash treasury markets, has introduced two apps for traders using the Bloomberg Terminal.

The new solutions are available through the Bloomberg App Portal. The first is an enhanced version of QB’s algorithmic trading app, which enables futures and fixed income investors to respond dynamically to market indicators for best execution. QB says the algorithms can also be used with its proprietary trade cost analysis (TCA) solution to give traders covering complex industries (futures and cash treasuries) performance measurement analytics, similar to what is available in equities trading, through the Bloomberg Terminal service.

QB’s second release is SIMQB, a simulator tool that enables traders to run test simulations on futures and on-the-run cash treasury orders before submitting an order to QB. The tool also helps users measure and benchmark trade performance and measure cost on any order that uses QB’s execution algorithms.

Ralf Roth, CEO at QB, says: “Bloomberg Terminal subscribers now have access to our sophisticated trading tools with which they can simulate trades through a Bloomberg monitor and then submit orders to QB without interrupting workflow.”

The Bloomberg App Portal gives Bloomberg Terminal users access to a range of third-party and broker software tools for news and social sentiment analysis, technical charting analysis and data visualisation. New apps are selected for the Portal if they add to Bloomberg’s existing feature set and information resources.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...

BLOG

Infrastructure Modernisation, Intelligent Workflows, Data Strategy and More: A Preview of TradingTech Summit London 2026

The conversation around trading technology has become more exacting over the past year. AI is moving into production environments. Data estates are being rationalised and rebuilt. Infrastructure decisions are increasingly shaped by resilience, transparency and regulatory pressure. Against that backdrop, A-Team Group’s TradingTech Summit London 2026 takes place at a time when firms are reassessing...

EVENT

TEST Event page 2

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and 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...