A former White House teleprompter operator, Gabriel Perez, has been ordered to pay over $172,000 after using insider knowledge of U.S. President Donald Trump's speeches to make bets on a prediction market platform called Kalshi. The Commodity Futures Trading Commission (CFTC) ruled that Perez misused his position by placing trades based on confidential information regarding Trump's speaking content between December 2025 and February 2026. As part of the settlement, Perez must return approximately $107,539 in profits and pay a $65,000 civil penalty. He has also been barred from trading for three years. Kalshi's legal team praised the ruling, emphasizing that violations of their rules or federal laws will result in consequences. Kalshi had previously flagged unusual betting patterns linked to mentions of political figures and had identified Perez as a federal employee working at the White House. The White House Management Office reportedly issued guidelines to staff prohibiting participation in prediction markets.
Bias read (Center): The article presents the situation factually, focusing on the legal actions taken against Perez and the regulatory response. It does not exhibit overtly biased language or selective sourcing. The framing remains neutral, highlighting both the violation of duties and the regulatory action without slw
Why factuality (85): The article provides specific details about Gabriel Perez being ordered to pay $172,000, including the breakdown of $107,539 in profits and a $65,000 civil penalty. It references the CFTC, the time frame of the alleged misconduct (December 2025 to February 2026), and mentions Kalshi’s role in detect
Why objectivity (90): The article presents the facts in a neutral manner, quoting the CFTC and Kalshi's lawyer without overt bias. The tone remains professional and avoids emotional language or clear favoritism toward any party involved.




