Insider Trading in Prediction Markets Raises Regulatory Concerns
Recent cases of informed trading on prediction platforms like Polymarket highlight challenges to existing insider trading laws and call for regulatory reforms.
In the lead-up to the February 28, 2026, U.S.-Israeli strike on Iran, six newly created Polymarket wallets collectively earned approximately $1.2 million by purchasing 'Yes' shares in the 'US strikes Iran by February 28?' contract at prices as low as $0.10. One account, 'Magamyman,' initiated its first trade seventy-one minutes before the news became public, when markets implied only a 17% probability of a strike, resulting in profits totaling approximately $553,000.
This incident is part of a broader pattern of informed trading on prediction platforms. Two months earlier, a pseudonymous Polymarket account named 'Burdensome-Mix' earned roughly $485,000 from a $38,500 investment in contracts tied to the capture of Venezuelan President Nicolás Maduro, placing its largest trades just hours before the operation was publicly announced. Israeli authorities have also indicted individuals for allegedly using classified information to profit on Polymarket. Other cases include traders who appeared to have advance knowledge of Google's Year in Search rankings, OpenAI's browser launch, and Taylor Swift's engagement announcement.
These instances underscore a systematic challenge to current legal and regulatory frameworks governing insider trading. Existing U.S. securities laws primarily address insider trading involving securities, leaving a gap when it comes to prediction market contracts, which may not qualify as securities and could be considered commodities. The Commodity Futures Trading Commission's (CFTC) Rule 180.1, modeled on SEC Rule 10b-5, has not been applied to prediction markets in contested enforcement actions, though the CFTC issued an advisory in February 2026 confirming its authority to do so.
Legislative efforts, such as the Public Integrity in Financial Prediction Markets Act of 2026 (H.R. 7004), aim to prohibit federal officials from trading on prediction market contracts where they possess material non-public information. However, this bill may not address cases involving military personnel, foreign nationals, corporate trade secrets, or personal social knowledge.
To address these challenges, a multi-faceted regulatory response is proposed:
Platform-Level Regulation: Implement mandatory registration, surveillance, and reporting obligations for prediction market operators offering contracts to U.S. persons, regardless of the operator's incorporation location or technology platform.
Contract-Level Regulation: Establish targeted rules for specific event contracts identified as high-risk for insider trading, particularly those tied to government data releases, military operations, and corporate events.
Liability for Informed Traders: Extend the misappropriation doctrine's breach-of-duty framework through CFTC rulemaking to cover non-securities duties of confidentiality owed by government employees, military personnel, and corporate insiders.
These measures aim to preserve the informational efficiency of prediction markets while mitigating the risks associated with the exploitation of material non-public information.