TheBlock
Gabriel Perez, a longtime teleprompter operator for President Trump, is in negotiations with the CFTC over allegations that he used insider knowledge to place bets on Kalshi, the federally regulated prediction market, according to ABC News.
The allegations land as prediction markets have surged into a multi-billion-dollar category, with political-event contracts emerging as the highest-profile battleground. Kalshi operates under CFTC oversight as a designated contract market, which makes it one of the few venues where insider-trading enforcement can be pursued using existing derivatives-fraud statutes.
The case will test how aggressively the regulator interprets those statutes for political-event contracts. A perp trader fronting a Fed decision is familiar territory. A White House staff member fronting a speech is new ground, and the precedent matters far beyond one defendant.
Frequently asked questions
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Who is Gabriel Perez?
According to ABC News, Gabriel Perez is a longtime teleprompter operator for President Trump now in CFTC negotiations over insider-trading allegations tied to bets on Kalshi.
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What is Kalshi?
Kalshi is a federally regulated US prediction market operating as a CFTC-designated contract market, one of the few venues where insider-trading rules can be enforced under existing derivatives-fraud statutes.
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Why is the CFTC involved in a prediction-market insider case?
Kalshi operates under CFTC oversight as a designated contract market, which gives the agency jurisdiction to pursue insider-trading enforcement using existing derivatives-fraud statutes.
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What makes this case different from a typical insider-trading probe?
Insider-trading enforcement is well established for financial markets, but a White House staff member fronting a political-event contract on a prediction market is novel ground for the regulator.
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How big are prediction markets right now?
According to the seed, prediction markets have grown into a multi-billion-dollar category spanning elections, economic data, sporting events, and other real-world outcomes.
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