A Kalshi account tied to a White House teleprompter operator sits at the centre of what regulators are treating as a textbook insider-trading case, with more than $90,000 frozen before any of it could be withdrawn.
Gabriel Perez, who had worked at the White House since 2016, is accused of placing bets on which words President Donald Trump would use during major public addresses, including the State of the Union. Kalshi, the prediction markets platform where the trades were made, froze his account after its analysts spotted unusual activity on what the firm calls “mention markets”: contracts where users bet on whether a speaker will deploy particular terms, from country names to economic phrases to campaign slogans.
Perez is alleged to have made nearly $100,000 in profits before the account was locked. White House press secretary Karoline Leavitt confirmed that Trump was aware of the situation, that Perez had been placed on unpaid leave, and that he would not be returning to the role.
The White House Teleprompter Operator and the Regulatory Trap He Walked Into
What makes this case more than a curiosity is where it lands legally. The Commodity Futures Trading Commission (CFTC) issued a Prediction Markets Advisory on 25 February 2026, formally describing material nonpublic information-based event-contract trading as conduct it can pursue as “insider trading” under CEA § 6(c)(1) and Rule 180.1. That advisory predates the Perez case. It was not a theoretical warning; it was the agency staking out enforcement territory.
Robert DeNault, Kalshi’s head of enforcement, confirmed the firm had flagged the trades and handed evidence to regulators. The CFTC told the BBC it could neither “confirm nor deny” any investigation, which is standard language and tells us very little. Sources cited by ABC News said Perez has been “fully cooperative” with the agency. Federal prosecutors in Manhattan, separately, declined to open a criminal case.
I think the criminal declination is less protective than it looks. The CFTC’s civil enforcement toolkit is substantial, and Rule 180.1 has been used repeatedly in prediction market cases under what the Congressional Research Service describes as the misappropriation theory: you don’t have to be trading securities to be in trouble if you used someone else’s confidential information for personal financial gain.
A Broader Enforcement Pattern Taking Shape
Perez is not operating in isolation as a test case. On 22 and 23 April 2026, Kalshi and the CFTC announced separate but concurrent enforcement actions targeting prediction market misconduct. Three Kalshi disciplinary matters involved political candidates who had wagered on their own election outcomes. More consequentially, the CFTC filed what it described as its first-ever insider trading complaint concerning event contracts: an active-duty US Army service member accused of trading on Polymarket using classified military intelligence, according to Lowenstein Sandler’s analysis of the enforcement actions. That case is separate from Perez’s, but the timing is not coincidental.
Kalshi was direct about why this matters beyond any single account. ‘The words of political leaders like Presidents and Fed chairs cause billions of dollars of movement in FX markets, oil futures, [and] the stock market,’ the firm said. Its analysts identified the suspect by cross-referencing account data with federal employment records, establishing that the user was operating White House teleprompters.
The platform’s ability to make that connection, and then act on it faster than prosecutors, is itself a development worth watching. Prediction markets have spent years arguing for regulatory legitimacy. Demonstrating they can police serious misconduct internally, and hand a clean evidence package to the CFTC, is the strongest possible argument for that legitimacy. Kalshi’s enforcement infrastructure is now part of its political pitch.
The broader question is where the line falls for other government employees with incidental access to market-moving information: speechwriters, advance staff, scheduling aides. The CFTC’s February advisory was deliberately broad. Perez walked into a trap that was already fully assembled. Others in similar positions would be wise to notice the door swinging shut.
