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White House Teleprompter Operator Fined for Prediction Market Trading

Gabriel Perez, a White House teleprompter operator since 2016, was ordered to pay $172,000 after placing trades on prediction markets using advance access to Trump speeches. The Kalshi platform detected the suspicious activity and reported it to the CFTC, leading to Perez's administrative leave and subsequent White House ethics guidance.

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The essentials

White House teleprompter operator fined $172,000 for trading on advance speech access.

Gabriel Perez, a White House teleprompter operator employed since 2016, was ordered to pay $172,000 for insider trading violations. Perez placed bets on Trump speeches using advance access to the speeches before they were delivered publicly.

Kalshi, a prediction market platform, detected suspicious trading patterns and referred the case to the CFTC (Commodity Futures Trading Commission). Following the disclosure, Perez was placed on unpaid administrative leave from his White House position.

The CFTC declined to issue a criminal referral, and Manhattan federal prosecutors did not open an investigation. In response to the incident, the White House issued an ethics memo warning staff against prediction market bets. Kalshi subsequently updated its employment disclosure policies to prevent similar violations.

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Enforcement

Market Watchdog Catches Insider Trading Through Detection System

Kalshi's monitoring systems identified irregular trading patterns and reported the activity to regulators. The detection and referral mechanism functioned as designed to catch violations. The CFTC's examination resulted in a financial penalty without criminal escalation, demonstrating the regulatory framework's ability to address misconduct through administrative channels.

Governance

White House Addresses Ethics Gap with Staff Guidance

The incident exposed a gap in White House ethics protocols regarding emerging financial instruments. The White House responded by issuing an ethics memo and Kalshi implemented stricter employment disclosure requirements. These policy adjustments address the specific vulnerability that allowed access to non-public information to be exploited for trading purposes.