CFTC fines former White House aide $172K for insider trading on Kalshi prediction markets

The U.S. Commodity Futures Trading Commission (CFTC) has ordered Gabriel Perez, a former White House publicity and technology adviser, to pay $172,539 in sanctions for insider trading on Kalshi, a regulated prediction market platform. The enforcement action, announced this week, marks the CFTC’s second case involving a government employee accused of leveraging nonpublic information to trade event-based contracts.

Details of the enforcement action

According to the CFTC’s order, Perez exploited his job-related access to review drafts of President Donald Trump’s speeches roughly an hour before they were delivered. From December 2025 through February 2026, Perez traded on Kalshi’s “Mention Market” contracts, which pay out based on whether specific words or phrases appear in presidential addresses. The trades generated $107,539 in illicit profits.

The CFTC ordered disgorgement of those gains, a $65,000 civil monetary penalty, and a three-year ban on trading at any CFTC-registered entity. The agency’s action underscores its growing scrutiny of insider trading in prediction markets, a relatively new frontier for financial regulation.

Why this case matters

This is the second CFTC insider trading case involving a government employee and event contracts, signaling a clear regulatory trend. In late 2024, the agency brought its first such case against a former Department of Commerce official who traded on Kalshi using confidential economic data. The repeat offense suggests that the CFTC views prediction markets as susceptible to abuse and is actively monitoring for illegal activity.

For market participants, the case serves as a warning: nonpublic information obtained through government service cannot be used for personal gain in any trading venue, including newer platforms like Kalshi. The CFTC’s jurisdiction over these markets was solidified after Kalshi won a legal battle in 2024 to offer political event contracts, and the agency has since been developing a compliance framework.

Implications for prediction market regulation

The enforcement action also highlights the growing importance of prediction markets in the financial ecosystem. While these platforms offer valuable insights into future events, they also create new opportunities for misconduct. The CFTC’s willingness to impose significant penalties and trading bans demonstrates its commitment to maintaining market integrity.

Industry observers note that the case could prompt Kalshi and other platforms to strengthen their surveillance systems and cooperate more closely with regulators. For now, the CFTC has made it clear that insider trading laws apply to all markets, regardless of their novelty.

Conclusion

The CFTC’s $172,000 fine against Gabriel Perez is a landmark moment for prediction market oversight. It reinforces that insider trading is illegal in any form and that government employees are held to the highest standards. As prediction markets continue to grow, regulatory enforcement will likely intensify, protecting both market integrity and public trust.

FAQs

Q1: What did Gabriel Perez do?
Gabriel Perez, a former White House staffer, used nonpublic information about President Trump’s speeches to trade on Kalshi’s Mention Market contracts. He profited by predicting which words or phrases would appear in the speeches.

Q2: What penalties did the CFTC impose?
The CFTC ordered Perez to pay $107,539 in disgorgement of illicit gains, a $65,000 civil penalty, and a three-year ban from trading at CFTC-registered entities.

Q3: Why is this case significant?
This is the CFTC’s second insider trading enforcement action involving a government employee and prediction markets. It demonstrates the agency’s active oversight of event-based trading platforms and its commitment to enforcing insider trading laws across all market types.