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

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

Upcoming Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Date: 16 April 2026 Time: 9:00am ET / 2:00pm London / 3:00pm CET Duration: 50 minutes Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are...

BLOG

From Broker Bias to Independent Insight: The Case for Cloud-Native TCA

For years, the path of least resistance for buy-side transaction cost analysis (TCA) was simple: let the broker do it. Historically, asset managers have relied on their execution counterparties to provide post-trade reporting. It was a workflow of convenience. Brokers executed the trades and subsequently provided the analysis on how well they performed. However, this...

EVENT

RegTech Summit London

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

GUIDE

Best Practice Client Onboarding

Client onboarding is central to the success of banks, yet it continues to present challenges and the benefits of getting it right are difficult to achieve. The challenges arise from siloed systems, manual processes and poor entity data quality. The potential benefits of successful implementation include excellent client experience, improved client acquisition and loyalty, new business opportunities, reductions in costs, competitive advantage, and confidence in compliance.