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๐Ÿ‡น๐Ÿ‡ผ Taiwan /Crime & Justice

Former White House teleprompter operator ordered to pay $172,539 over Trump speech bets

From Liberty Times · () Chinese

Translated from Chinese and summarized by DistantNews. Read the original for the full story.

At a glance

News Official statement Outcome reported
  • The U.S. Commodity Futures Trading Commission ordered former White House teleprompter operator Gabriel Perez to pay $172,539 over alleged insider trading on Kalshi.
  • The regulator said Perez bet on words or content that might appear in Donald Trumpโ€™s speeches while working at the White House from December through February.
  • Perez must surrender $107,539 in alleged illegal gains, pay a $65,000 civil penalty and accept a three-year trading ban.

A former White House teleprompter operator has been ordered to pay $172,539 after using information about Donald Trumpโ€™s speeches to place bets on an online prediction market, according to the U.S. Commodity Futures Trading Commission.

Gabriel Perez worked as a White House teleprompter operator from December through February. The CFTC said he used his knowledge of words or content that might appear in Trumpโ€™s speeches to place bets on Kalshi, a prediction-market platform.

The regulator accused Perez of abusing information for profit and violating his duties of trust and confidentiality. Its order requires him to surrender $107,539 in alleged illegal gains and pay a $65,000 civil penalty. It also imposes a three-year ban on trading and requires him to stop the conduct and comply with federal market-manipulation rules.

The CFTC said the penalties represented a substantial discount because Perez showed exemplary cooperation during the investigation. The White House had previously announced that he no longer worked as a teleprompter operator, but it was unclear whether he resigned or was dismissed.

About this summary

Originally published by Liberty Times in Chinese. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.