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

big xyt Extends Analytics Platform to Include TCA Functionality

Subscribe to our newsletter

Following consultation with clients, independent data analytics provider big xyt has added Transaction Cost Analysis (TCA) to its platform. The company’s aim is to apply analytics to create a consolidated view of a fully automated trading environment that traders can access to assess trends.

big xyt solutions specialise in normalising and storing trade data. Using an automated reporting facility, or their own internal applications, clients can interrogate information for analyses such as broker review, sales, workflow optimisation, compliance and best execution.

Although TCA benchmarking calculations have not changed drastically over the years, there are growing market requests for transparency regarding how they are calculated and what they mean. big xyt has supported market makers through back-testing on its analytics platform, and is now leveraging its back-testing capabilities to serve clients searching for more transparency around TCA benchmark calculations, such as Volume Weighted Average Price (VWAP).

Robin Mess, CEO at big xyt, says: “What the community is seeking to understand is how VWAP is being calculated and which conditions code is being used. It also wants to decide based on its smart order routers or business which condition code should be used in the VWAP, just to make sure that it’s comparing executions against the right benchmarks. That means the community is asking for more transparency about not only aggregation, but also about the filters and datasets being used.”

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

Bloomberg Enhances RMS Enterprise to Unlock Proprietary Models and Strengthen Research Oversight

Bloomberg has announced significant enhancements to its enterprise-level Research Management Solution (RMS Enterprise), introducing two new capabilities: Custom Fundamentals and Digest Alerts. The updates are designed to address long-standing data interoperability challenges within investment firms, allowing research teams to better integrate proprietary financial models into their workflows and strengthen oversight across their organisations. For many...

EVENT

TradingTech Summit New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...