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 24/7 to Event-Driven: Engineering the Next-Generation Exchange Platform

What digital asset and prediction markets are teaching traditional exchanges about availability, agility and time-to-market. New market structures and regulatory changes are forcing exchange operators to rethink the foundations of their technology stacks. Digital asset exchanges, prediction markets and retail-driven platforms have normalised 24/7 trading, continuous availability and rapid product iteration. In contrast, many traditional...

BLOG

Buy & Build: Don’t Hire Picasso to Paint Your Living Room

On this episode of FinTech Focus TV recorded at A-Team Group’s Buy AND Build Summit, Toby Babb of Harrington Starr sits down with Paul Humphrey, CEO and Elliot Banks, CPO of BMLL to discuss how historical market data is reshaping trading technology. From the shift from build vs buy to build on trust, to why...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

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...