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

Upcoming Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining...

BLOG

Citi and HSBC Back Adaptive as Banks Rethink the Foundations of Trading Infrastructure

Citi and HSBC have made a strategic investment in trading technology firm Adaptive, signalling growing momentum behind efforts by major financial institutions to modernise the infrastructure underpinning their electronic trading platforms. The investment comes as banks increasingly confront the challenge of evolving front-office technology environments that have developed over decades of incremental change. In practice,...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

The Trading Regulations Handbook

Need to know all the essentials about the regulations impacting trading infrastructure? Welcome to the first edition of our A-Team Trading Regulations Handbook which provides all the essentials about regulations impacting trading operations, data and technology. A-Team’s Trading Regulations Handbook is a great way to see at-a-glance: All the regulations that are impacting trading technology...