How NYSE Manipulated Access to Market Data

The Securities Exchange Commission (SEC) has put a first of its kind charge against the New York Stock Exchange (NYSE) for failing to comply with certain practices that give customers an improper head start on trading information.

SEC Regulation NMS (National Market System) prohibits the practice of improperly sending market data to proprietary customers before sending that data to be included in what are known as consolidated feeds, which broadly distribute trade and quote data to the public. This ensures the public has fair access to current market information about the best displayed prices for stocks and trades that have occurred.

According to the SEC's order against NYSE, the exchange violated this rule over an extended period of time beginning in 2008 by sending data through two of its proprietary feeds before sending data to the consolidated feeds. NYSE's inadequate compliance efforts failed to monitor the speed of its proprietary feeds compared to its data transmission to the consolidated feeds.

"Improper early access to market data, even measured in milliseconds, can in today's markets be a real and substantial advantage that disproportionately disadvantages retail and long-term investors," said Robert Khuzami, Director of the SEC's Division of Enforcement.

NYSE and its parent company NYSE Euronext agreed to a $5 million penalty and significant undertakings to settle the SEC's charges. It marks the first-ever SEC financial penalty against an exchange.

Source: SEC.gov

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Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.