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Comment for Proposed Rule 91 FR 12516

  • From: Leigh Heyman
    Organization(s):

    Comment No: 117138
    Date: 4/30/2026

    Comment Text:

    Dear Chairman and Commissioners,


    My name is L, and I'm a student with a strong interest in academic research and data transparency. I'm writing to express my support for the proportionate regulation of prediction markets in response to your Advance Notice of Proposed Rulemaking on Prediction Markets, as published in 91 FR 12516. While I don't personally trade on these platforms, I closely follow their development and believe they offer significant value to society, especially from a research and information-sharing perspective.


    As someone immersed in academic study, I see prediction markets as a unique tool for aggregating information in ways that traditional surveys and polls often can't match. The prices in these markets reflect a collective judgment that is frequently more accurate than expert opinions or media forecasts. This isn't just useful for traders; it benefits everyone by providing clearer insights into future events, whether it's an election outcome or an economic indicator. For researchers like me, this data is invaluable. It offers a transparent, real-time window into public expectations that can inform studies on everything from political behavior to market dynamics.


    I want to address a concern I know the CFTC is exploring, particularly in Questions 29-32 around inside information. I understand the worry about insider trading skewing markets or harming participants. But I strongly believe that informed trading, when done legally, actually improves price discovery. When people with deep knowledge or research contribute to the market, the resulting prices are more accurate, and that benefits all of us who rely on this information, whether we're trading or not. Shutting down or overly restricting prediction markets to prevent potential misuse would deprive society of this powerful data source. Instead, the CFTC should focus on enforcing existing laws against insider trading and market manipulation, which are already in place and can be adapted to these platforms.


    I'm also drawn to the idea that prediction markets democratize access to information. They're not just for big institutions or insiders. They let everyday people, including students like me, observe and learn from complex systems of probability and risk. This transparency aligns with the values of academic inquiry, where open data drives progress.


    In closing, I urge the CFTC to regulate prediction markets in a balanced way that preserves their benefits while addressing specific risks with targeted rules. Please don't impose broad bans or restrictions that could stifle this innovative tool. I believe well-regulated markets can serve the public interest, as discussed in Questions 7-14, by fostering innovation and providing unique information. Thank you for considering my perspective as you shape these important policies.


    Sincerely,

    -L

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