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

Industry Doubts Urgency Of US CFTC’s Reg AT

Subscribe to our newsletter

The industry’s sense of urgency concerning Reg AT is dropping, because little action is expected to put its rules in effect in the US following the May 1 ending of the comment period on the regulation.

Reg AT, the US Commodity Futures Trading Commission’s Regulation Automated Trading, contains risk and transparency provisions for automated trading. The CFTC issued the proposal in November and later extended the comment period beyond January to May.

“Not many people are expecting a revised proposal to come out quickly,” says Aisha Dudhia, deputy head of research at JWG, a financial regulation consultancy. “Considering the political situation in the US, people believe it may still be awhile because they’re not sure what will happen. But people do expect revised changes based on the proposal.”

JWG organised a Trade Surveillance Special Interest Group, comprised of about 35 people representing buy- and sell-side firms, and data vendors, which met last week to consider potential Reg AT issues. “They are concerned that Reg AT might not go ahead, so at the moment it’s not so much of a priority for them,” Dudhia says, describing the sentiment in the group.

However, there are some similarities between Reg AT, MiFID II and Germany’s High Frequency Trading Act, which has firms looking at Reg AT in conjunction with those laws. MiFID II takes effect in January, and the German law has been in effect since 2013.

“Where a regulation ‘gold plates’ — where it has the highest criteria or requirements, that’s the regulation they are following for that specific element,” says Dudhia. “Firms are still doing analysis to determine which of these three ‘gold plates’ on certain requirements. In general, MiFID II is the most prescriptive, but some elements of Reg AT are a bit different.”

Regardless of whatever restrictions Reg AT places on automated trading, automation requires careful thought and consideration, beyond just compliance concerns, as Nirvana Farhadi, global head of financial services regtech, risk and regulatory compliance at Hitachi Data Systems, explains.

“Firms must ask how mature the technology is to avoid getting ‘garbage in/garbage out’ results,” she says. “Automation is a process that might not necessarily be possible to link on top of your legacy systems. Making it fresher, flexible and agile means looking more strategically at the long-term areas of what they need to achieve. Platforms and infrastructure within an organisation need to be more agile and flexible to accommodate automation.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Optimising cloud, marketplaces & managed data services

Date: 30 June 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes 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...

BLOG

SEC and CFTC Recalibrate Private Fund Reporting for Systemic Risk Oversight

The SEC and CFTC have proposed a substantial reset of Form PF, raising reporting thresholds and streamlining requirements for private fund advisers while preserving supervisory access to data on the largest and most systemically relevant managers. The proposed rule would lift the general filing threshold from $150 million to $1 billion in private fund assets...

EVENT

Eagle Alpha Alternative Data Conference, Spring, New York, hosted by A-Team Group

Now in its 9th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

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...