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

CAT Builder Choice Marks End Of Years-Long Process

Subscribe to our newsletter

Spurred by the US Securities and Exchange Commission (SEC) approval of a national market system (NMS) plan in November, which includes creation of a consolidated audit trail (CAT), US securities exchanges chose Thesys Technologies, a New York-based trading technology provider with a focus on trading surveillance and big data functions already aimed at CAT functions.

Thesys’ proposal prevailed over FIS (Fidelity National Information Services) and the US self-regulatory organization (SRO), the Financial Industry Regulatory Authority (FINRA) in a vote by US exchanges choosing a builder for CAT.

The process of choosing a company to build CAT has been years in the making. The proposals were completed, including amendments, in March 2014, after a request for proposals was first published in February 2013. In July 2012, the SEC approved Rule 613 of Regulation NMS, which required exchanges’ SROs to submit a plan for building the CAT. It took until April 2016, however, for the SEC to publish the SROs CAT plan, which appears to have affected how the bidders proposals to build the CAT could be evaluated.

The choice of Thesys Technologies surprised some, and FINRA, as an SRO itself, had been expected to win the contract to build the database. FINRA issued this statement on the decision:

“FINRA appreciates the opportunity to have submitted a highly competitive proposal to become the processor for the Consolidated Audit Trail. Although ultimately we were not selected to be the processor, FINRA will work closely with all parties toward a smooth transition to the CAT. FINRA remains committed to its robust program of cross-market surveillance and looks forward to enhancing that oversight with the uniform, comprehensive data that the CAT will provide.”

Subscribe to our newsletter

Related content

WEBINAR

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

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 discovering that value is constrained not by models, but by the quality of the content, architecture,...

BLOG

Bloomberg BQuant Wins A-Team AICM Best AI Solution for Historical Data Analysis Award

When global markets were roiled by the announcement of massive US trade tariffs, Bloomberg saw the amount of financial and other data that runs through its systems surge to 600 billion data points, almost double the 400 billion it manages on an average day. “These were just mind-blowingly large volumes of data,” says James Jarvis,...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Entity Data Management Handbook

Following on from the success of our Regulatory Data Handbook, A-Team Group is pleased to introduce its new Entity Data Management Handbook which is available for free download. This Handbook is the ultimate guide to all things entity data: Why Entity Data is important A full review of Legal Entity Identifiers (LEIs) Where they came...