NewsCryptoCFTC Fines Ex-White House Teleprompter Operator for Prediction Market Insider Trading

CFTC Fines Ex-White House Teleprompter Operator for Prediction Market Insider Trading

Author: CryptoNewsNet·

Key Takeaways

  • Former White House teleprompter operator Gabriel Perez agreed to pay $172,000 to settle CFTC charges of trading presidential speech prediction markets on advance knowledge.
  • Perez generated more than $107,500 in profits between December 2025 and February 2026 by betting on contracts tied to words President Trump would say.
  • The settlement includes disgorgement of $107,539.02, a $65,000 civil penalty, a three-year trading ban, and a cease-desist from further Commodity Exchange Act violations.
  • The CFTC discounted the penalty under a new cooperation policy citing Perez's exemplary assistance, and credited exchange operator Kalshi for helping the investigation.
  • The case is among the clearest examples of insider-trading risk in prediction markets, and the CFTC expects event contracts to be treated as swaps subject to insider-trading rules.
CFTC Fines Ex-White House Teleprompter Operator for Prediction Market Insider Trading

A former White House teleprompter operator has agreed to pay $172,000 to settle charges that he traded on advance knowledge of presidential speeches, wagering on prediction markets tied to the words President Donald Trump would say.

The Commodity Futures Trading Commission said Friday that Gabriel Perez misappropriated confidential government information to trade "presidential mention market" contracts — event contracts that pay out based on specific words or phrases a president uses in a speech.

Because his job gave him access to speeches before they were delivered, Perez was able to bet on outcomes he already knew, the agency said. Such contracts, which gained traction as platforms expanded beyond elections into granular political events, effectively turn advance access to any preparatory material into a potential trading advantage.

Between December 2025 and February 2026, Perez allegedly used that edge to generate more than $107,500 in profits, according to the CFTC's order. Under the settlement, he must disgorge $107,539.02 in gains, pay a $65,000 civil penalty, accept a three-year trading ban, and cease further violations of the Commodity Exchange Act.

The regulator noted that the penalty was steeply discounted under a new cooperation policy, citing what it called Perez's exemplary assistance with the investigation. The discount itself signals that the CFTC is encouraging individuals caught trading on nonpublic information to come forward and assist enforcement efforts. It also credited exchange operator Kalshi for helping with the case.

The order marks one of the clearest examples yet of the insider-trading risks that have shadowed prediction markets as they surge in popularity. The platforms let users bet real money on real-world outcomes — from elections to sports and, increasingly, the specifics of political speeches — creating openings for anyone with nonpublic knowledge to profit.

The concern is not hypothetical. Earlier this year, a U.S. soldier was charged over alleged Polymarket trading and more than $400,000 in ill-gotten gains tied to the military operation that ousted Venezuelan leader Nicolas Maduro. Separately, in March, a MrBeast video editor was fired amid a Kalshi insider-trading probe.

Meanwhile, Kalshi has worked through a backlog of suspicious-activity reviews. The exchange has also rolled out new safeguards in response to mounting scrutiny over whether insiders are gaming its markets. How effectively exchanges can detect and deter insider trading before it happens — rather than after a regulator steps in — remains an open question for the industry.

The episode arrives as prediction markets move further into the mainstream, drawing billions in volume and growing regulatory attention. It also underscores that the CFTC expects event contracts to fall squarely under its authority as swaps subject to insider-trading rules, a stance market participants and operators will likely see reflected in future enforcement and compliance expectations.

Source: decrypt.co via CryptoNews.net