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

A-Team Insight Briefs

FINRA Fines Morgan Stanley for Incorrect Trading Data

Subscribe to our newsletter

The Financial Industry Regulatory Authority (FINRA) has fined Morgan Stanley $875,000 for failing to provide accurate trade data (also known as “blue sheets”) in an automated format when requested to do so by FINRA and the SEC. The regulator found that the bank had experienced significant failures in its blue sheet systems between 2014 and 2017, and made numerous deficient or inaccurate submissions. Morgan Stanley, which has not admitted or denied the charges, claims that human error was the cause of the inaccurate submissions.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Sponsored by FundGuard: NAV Resilience Under DORA, A Year of Lessons Learned

The EU’s Digital Operational Resilience Act (DORA) came into force a year ago, and is reshaping how asset managers, asset owners and fund service providers think about operational risk. While DORA’s focus is squarely on ICT resilience and third-party dependencies, its implications extend deep into core operational processes that are critical to market integrity, investor...

BLOG

UK Equity Consolidated Tape and EU MiFIR – Two Data Regimes, One Control Problem

The UK’s proposed equity consolidated tape is framed as a response to long-standing fragmentation in equity market data. By aggregating post-trade information and an attributed best bid and offer across trading venues, the tape is intended to provide a single, standardised view of UK equity trading. At the same time, transaction reporting under the Markets...

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

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...