The Commodity Futures Trading Commission (CFTC) is investigating allegations that a teleprompter operator for President Donald Trump placed dozens of bets on the content of the president’s speeches using the prediction market platform Kalshi. The operator, Gabriel Perez, has been placed on administrative leave after the platform flagged the suspicious trading activity and referred the matter to federal regulators.
Regulatory Oversight and Investigation
The CFTC, which maintains jurisdiction over prediction markets like Kalshi, is currently evaluating the case. According to reports, the commission is seeking the return of winnings linked to the trades. Perez allegedly generated more than $100,000 in profits by betting on specific phrases or content appearing in high-profile addresses, including the State of the Union, a World Economic Forum speech, and a Medal of Honor ceremony.
Kalshi’s internal surveillance systems detected the pattern of trades and alerted federal authorities. In an official statement, the platform confirmed it "promptly flagged and referred" the activity to the CFTC. Perez has reportedly participated in interviews with investigators, during which he admitted to placing several of the wagers. White House Press Secretary Karoline Leavitt confirmed the administration’s awareness of the situation, characterizing the actions as a "disgrace" and confirming that Perez is no longer employed by the White House.
The Mechanism of the Alleged Insider Trading
Perez’s role as a teleprompter operator provided him with direct, early access to the text of the president’s prepared remarks. Prediction markets allow users to wager on the occurrence of specific events or the inclusion of particular words in public addresses. By possessing the finalized script before delivery, Perez held an information advantage that is prohibited under standard market integrity rules.
The nature of the bets suggests a high degree of precision. Reports indicate that Perez occasionally canceled or adjusted positions when the president deviated from the prepared script, further suggesting that the wagers were based on non-public information regarding the specific speech content.
Challenges for Prediction Market Regulation
This case highlights the difficulty of policing "mention" markets, which have seen a surge in volume over the past year. While Kalshi has implemented guardrails—including requirements for users to disclose their employers and policies targeting political candidates and athletes—staff members and technical advisors often fall outside the scope of these automated filters.
The CFTC has increasingly utilized advanced surveillance technology, including AI-driven monitoring and blockchain analysis tools, to identify potential market manipulation. As prediction markets transition into a recognized asset class, regulators are under pressure to define the boundaries of "insider information" in a digital landscape where the distinction between public figures and their support staff is increasingly blurred.
Key Facts
- Individual Involved: Gabriel Perez, former teleprompter operator for President Donald Trump.
- Platform: Kalshi, a CFTC-regulated prediction market.
- Alleged Profit: Over $100,000, with more than $90,000 currently frozen in the user’s account.
- Regulatory Status: The CFTC is managing the investigation and seeking the return of illicit gains.
- Administrative Action: Perez has been placed on unpaid leave and is no longer with the White House.
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