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: 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

Finastra’s Summit Crowned Best AI-Enabled App at Inaugural AI in Capital Markets Awards

Finastra has secured the award for “Best AI-Enabled App for Capital Markets” for its Summit solution at the first-ever AI in Capital Markets Awards, hosted by the A-Team Group. This new awards programme recognises the growing importance of artificial intelligence in transforming capital markets by honouring the leading AI-driven solutions that deliver significant value to...

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

Regulatory Data Handbook 2018/2019 – Sixth Edition

In a testament to the enduring popularity of the A-Team Regulatory Data Handbook, we are delighted to publish a sixth edition for 2018-19 of our comprehensive guide to all the regulations and rules that might impact data and data management at your institution. As in previous editions of the Regulatory Data Handbook, we have updated...