Prediction markets have spent a year building the case that they are serious, regulated financial products rather than a betting shop with better branding. This week's news undercuts that case in the worst possible way: the person accused of exploiting inside information isn't a random trader, but a White House staffer with direct access to the president's own words.
Kalshi's Insider-Trading Problem Just Reached the West Wing
17 July 2026 - 15:06 CEST
By Stu Clelland
Gabriel Perez, a technical assistant to Trump who has operated his teleprompter since 2016, is in settlement talks with the Commodity Futures Trading Commission (CFTC) over allegations he used advance knowledge of the president's speeches to win more than $100,000 on Kalshi's "Mentions" markets, contracts wagering on whether specific words or phrases would appear in a given speech, ABC News first reported on 16 Jul, citing sources familiar with the matter.
Kalshi said its surveillance team flagged the trades and referred them to the CFTC. The White House confirmed Perez is cooperating with regulators and has been placed on leave.
Not the first case, and that's the point
What makes this significant isn't that it happened. It's the fifth data point in a pattern that has been building all year, and each one has moved the story closer to the centre of power.
In February, Kalshi kicked out a politician and an editor for a prominent YouTube channel over insider-trading violations, its first public disclosures of enforcement action. The CFTC followed in March by opening a formal inquiry into gambling and insider-trading risks across prediction markets generally, and in April, a CFTC official told Bloomberg that insider trading on these platforms would be prosecuted, not merely monitored. That same month, a US Army soldier was charged with using classified knowledge of the operation to capture Venezuelan president Nicolas Maduro to win $410,000 on Polymarket, arguably the highest-stakes case to date. By May, the pattern had already brushed against the White House once, when a Google employee was charged with insider trading tied to prediction markets under review by White House-adjacent CFTC rulemaking.
Perez's case is different only in degree, not in kind, from what came before. But degree matters. A YouTube editor or an Army sergeant abusing access is a compliance failure. A sitting president's own staffer betting on the president's own words is a story about whether anyone close to power can resist treating nonpublic access as a tradable asset, and it happens to be playing out on a platform Trump's own family has publicly backed.
Self-policing question
Kalshi's defenders will point to exactly what happened here as evidence that the system works: surveillance caught the pattern, the exchange froze the funds, and it referred the case to federal regulators without being asked. That is a genuinely different outcome from platforms that ignore obvious abuse. Kalshi has also introduced trader-identity disclosure requirements this year, specifically aimed at closing this kind of gap.
But self-policing only proves the model works until it doesn't, and the frequency of cases is now the story as much as their existence. Prediction markets are trying to convince institutional money, and regulators drafting the rules that will govern them for years, that they belong alongside options and futures exchanges. Every case where the accused sits closer to the source of the information they allegedly traded on makes that argument harder, regardless of how well the exchange's own surveillance performed.
Sandmark has contacted Gabriel Perez's representation, the White House Press Office, and the CFTC for comment, and will update this article if a response is received.
