CFTC issues a strong warning against insider trading in prediction markets; violators may face enforcement action

Gate News news: In the United States, the enforcement division of the Commodity Futures Trading Commission (CFTC) is stepping up its oversight of insider trading in prediction markets. In April 2026, CFTC Chief Enforcement Officer David Miller publicly said at New York University that the agency has noticed signs of relevant violations and will take enforcement action against conduct that uses material nonpublic information for trading, explicitly denying the market perception that “there is no insider trading in prediction markets.”

Miller said some market participants mistakenly think event contracts are a form of “gambling,” causing them to overlook compliance risks. In reality, these types of products are classified under the legal framework as swap contracts and are subject to strict financial regulatory rules. This means that both information leaks and trades based on nonpublic information may trigger legal liability.

A series of recent cases has intensified regulatory attention. For example, trades that involved making precise bets ahead of major policy statements from Trump, as well as high-yield trades related to the arrest of Venezuelan President Nicolás Maduro, are viewed as potential abnormal behavior. In addition, trading around events related to the Iran situation and its leaders has also sparked discussions at the national security level.

Data shows that the prediction market has been expanding rapidly, with monthly trading volume already exceeding $20 billion. As the market grows, regulators are beginning to focus on areas such as insider trading, market manipulation, and anti-money-laundering compliance. Miller emphasized that the CFTC will prioritize serious violations rather than minor or borderline issues.

Meanwhile, the U.S. legislative branch is also moving forward to strengthen regulatory measures in parallel. The recently proposed “2026 Financial Prediction Market Public Integrity Act” and the PREDICT Act are both intended to limit the ability of government officials to participate in prediction trades using an information advantage. Some platforms have also launched self-regulatory mechanisms, rolling out new trading rules to reduce compliance risk.

As the regulatory framework is gradually tightened, prediction markets are shifting from “gray areas” toward standardized development. For investors, participating in such markets in the future will not only require judging event probabilities, but also paying closer attention to the compliance of legal boundaries and the sources of information.