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

TBricks Taps QuantLINK and QuantFEED for Hosted Trading Service

Subscribe to our newsletter

Trading system TBricks has rolled out a managed, hosted variant of its automated trading software, and has partnered with S&P Capital IQ to provide market connectivity and data. TBricks OnDemand has been rolled out in Stockholm, London, Frankfurt and Chicago.

TBricks provides tools to allow manual and low-latency automated trading in the global markets, including options and ETFs, supporting a number of different strategies, including HFT. To date, its offering has been deployed as enterprise software in a customer or co-lo data centre, leveraging Oracle’s Solaris operating system and Berkeley DB database, running on Intel-based servers.

With TBricks OnDemand, customers do not need to deploy any software or build the hardware platform and market connectivity on which to run it.  Rather, the TBricks functionality is provided via a network connection, possibly within the same co-lo data centre.

TBricks is providing market connectivity and data via its relationship with S&P Capital IQ. Specifically, it is using QuantLINK to provide trading access to global markets, and QuantFEED to access normalised market data. These products have been offered by S&P since its early 2012 acquisition of QuantHouse.

As trading firms increasingly look to make use of hosted, managed services, the providers of those services will also seek to tie up with existing connectivity and market data providers to themselves bring their services to market more rapidly, and to lower ongoing operations costs.

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

Past, Present, and Future of AI and Machine Learning in Trading and Investment Management

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 David Marcos, Founder and Managing Partner at Quantoro Technologies, to explore how AI agents are redefining trading, portfolio management, and the investor experience. From simplifying complex investment strategies to the rise of...

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Regulatory Data Handbook 2019/2020 – Seventh Edition

Welcome to A-Team Group’s best read handbook, the Regulatory Data Handbook, which is now in its seventh edition and continues to grow in terms of the number of regulations covered, the detail of each regulation and the impact that all the rules and regulations will have on data and data management at your institution. This...