The U.S. Commodity Futures Trading Commission has ordered former White House teleprompter operator Gabriel Perez to pay $172,539 after determining that he used advance access to President Donald Trump’s speeches to make illegal trades on the prediction-market platform Kalshi. The enforcement action highlights the increasingly important regulatory questions surrounding prediction markets as event-based contracts become more closely connected to politics, public information and financial speculation.

Perez agreed to disgorge $107,539.02 in trading profits and pay a $65,000 civil penalty under a settlement with the CFTC. He also accepted a three-year trading ban and agreed to cease and desist from further violations of the Commodity Exchange Act and CFTC regulations.

Advance Access to Presidential Speeches Became a Trading Advantage

According to the CFTC, Perez traded presidential “mention market” contracts on Kalshi between December 2025 and February 2026 while working at the White House. These event contracts generate payouts based on whether a president uses specific words or phrases during a speech.

The central issue in the case was Perez’s access to material, nonpublic information. As a teleprompter operator, he was able to review speeches before they were delivered publicly. The regulator said he then used that advance knowledge to trade contracts for his personal financial benefit.

The case illustrates how even information that may appear unconventional by traditional securities-market standards can create an unfair trading advantage when contracts are structured around specific future events. In conventional capital markets, insider trading cases often involve corporate earnings, mergers or confidential business developments. Prediction markets create a broader category of potentially valuable information because contracts can be tied to political statements, policy decisions and other real-world events.

The Settlement Includes Profit Repayment and a Trading Ban

Under the settlement, Perez must surrender the profits generated from the trades and pay a separate civil penalty. The $65,000 penalty represented a substantial discount, according to the CFTC, because of what the agency described as Perez’s “exemplary cooperation” during the investigation.

Beyond the financial sanctions, Perez agreed to a three-year prohibition on trading. The settlement also requires him to comply with an order preventing further violations of the Commodity Exchange Act and related CFTC regulations.

Perez was placed on unpaid leave and is no longer employed by the federal government, according to the reported enforcement action. He could not immediately be reached for comment.

Prediction Markets Face a Growing Regulatory Test

The case is significant beyond the individual penalties involved because it provides another example of how U.S. regulators may approach misconduct in the expanding prediction-market industry. Platforms offering event contracts have attracted growing attention as participants increasingly use them to speculate on elections, political developments, economic data and public statements.

Supporters argue that prediction markets can aggregate information and provide useful signals about future events. Regulators, however, must address the possibility that participants with privileged access to information may trade before that information becomes publicly available.

For financial markets more broadly, the enforcement action reinforces the principle that technological innovation does not eliminate longstanding concerns over market integrity. As financial contracts become increasingly linked to real-time information and political events, the boundaries between public knowledge, privileged access and unlawful trading conduct are likely to receive greater scrutiny.

What Regulators and Market Participants Will Watch Next

The immediate financial penalty is relatively small compared with major corporate enforcement actions, but the precedent may carry broader importance for prediction-market platforms and their participants. Regulators will likely continue examining whether event-contract markets have sufficient controls to detect trading based on confidential information.

For market participants, the key issue going forward will be whether prediction markets develop stronger compliance frameworks as their products become more widely used. The Perez case demonstrates that access to government information can become financially valuable when markets allow contracts to be built around political speeches and other public events. As the sector expands, maintaining transparency, surveillance and equal access to information will become increasingly important to its credibility and long-term regulatory acceptance.