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Ex-White House teleprompter operator ordered to pay $172,000 for insider bets on Kalshi
Perez must repay more than $107,000 in profits and pay a $65,000 penalty after using advance access to Trump speeches for prediction-market bets.
- On Friday, the Commodity Futures Trading Commission ordered former White House teleprompter operator Gabriel Perez to pay $172,539 for using advance access to President Donald Trump's speeches to execute illegal trades on a prediction-market platform.
- Between December 2025 and February 2026, Perez traded presidential "mention market" contracts on Kalshi, betting on specific words and phrases that would appear in Trump's speeches while working at the White House.
- The settlement requires Perez to pay a $65,000 civil monetary penalty and surrender $107,500 in profits, with the CFTC noting the penalty reflected a discount for his "exemplary cooperation" with investigators.
- Perez is no longer employed by the federal government after being placed on unpaid leave; White House press secretary Karoline Leavitt called the conduct "unfortunate" and "a disgrace."
- Beyond the monetary fines, Perez received a three-year trading ban and must cease violations of the Commodity Exchange Act and CFTC regulations, with KalshiEX assisting federal regulators in the matter.
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163 Articles
163 Articles
Trump's Teleprompter Operator Learns Penalty for Kalshi Bets
A man whose job ensured he knew the president's next words has to hand over the money he made betting on them. The Commodity Futures Trading Commission on Friday said Gabriel Perez, a technical assistant who has run President Trump's teleprompter since 2016, must pay $172,539 and stay off...
·Miami, United States
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Earned millions betting on the president's script.
·Gothenburg, Sweden
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A teleprompter operator abused inside information by betting on futures from President Trump's speeches. It will cost him $150,000.
·Ljubljana, Slovenia
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Coverage Details
Total News Sources163
Leaning Left31Leaning Right18Center69Last UpdatedBias Distribution59% Center
Bias Distribution
- 59% of the sources are Center
59% Center
L 26%
C 59%
15%
Factuality
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