About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Quantitative Brokers Partners with Genesis Global to Launch Customised Algorithm Performance Monitoring Platform

Subscribe to our newsletter

Quantitative Brokers (QB), specialists in advanced execution algorithms for futures, options, and OTC fixed-income markets, has announced a strategic alliance with Genesis Global, a low-code application development platform for financial markets organisations. The collaboration aims to advance algorithm transparency, boost trader productivity, and establish a personalised algorithm performance monitoring platform tailored to QB’s clients’ specific needs.

In partnership with Genesis, QB will develop a next-generation order monitoring system, designed to improve real-time management and proactive support services for thousands of client orders across the globe. The system will be central to QB’s client support and trading teams, offering data visualisation on trade execution performance across multiple asset classes, including futures, options, and US Treasuries. The system will deliver real-time alerts on algorithmic performance compared to client benchmark parameters and supply detailed analytics to effectively interpret algorithm behaviour.

Asset Tarabayev, Chief Product Officer at QB, commented: “This collaboration enables us to deliver a next-generation platform to our clients, enabling them to efficiently and effectively achieve their goals in today’s rapidly evolving financial markets. Real-time understanding of algo performance is crucial for traders, risk officers and portfolio managers. Our aim is to provide them with a powerful tool that offers the visibility and interaction they desire.”

Stephen Murphy, CEO and co-founder of Genesis Global, added, “Monitoring and analysing the performance of complex trading algorithms illustrates the power of the Genesis platform. The platform can deliver the customizable user interfaces required for monitoring and process the volume of data required for real-time analytics and performance measurement. We are delighted to be working with Quantitative Brokers on this innovative solution.”

In line with QB’s focus on algorithm transparency, the company plans to make the enhanced algorithm performance management platform available to clients in Q4 2023. It will offer sophisticated algorithm monitoring, fulfilling client demand for real-time analytics, including child order execution prices, slippages, and participation rates. The cloud-based, web-native solution will leverage desktop interoperability technologies for easy integration into existing client workflows.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Optimising cloud, marketplaces & managed data services

Financial institutions are under mounting pressure to rethink how they source, manage and distribute market data. Rising data volumes, multi-cloud adoption and the operational demands of regulations such as DORA are exposing the limits of legacy infrastructure, and driving firms toward managed services and cloud-native delivery models that can offer greater scalability, resilience and cost...

BLOG

Behavox Secures $175 Million Investment to Expand Unified Controls Platform

Behavox has secured a $175 million preferred equity investment from funds and accounts managed by HPS Investment Partners, part of BlackRock, giving the AI-native controls platform additional capital for global expansion, product development and selective acquisitions. The investment follows a period of commercial growth for the company, which says its customer base increased 86% over...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...