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White House Staffer Fined $172,000 for Trading on Presidential Speech Drafts at Kalshi

Gabriel Perez used advance access to Trump speech scripts to profit on prediction market contracts. The CFTC settled the case on August 29, 2026. Kalshi's own surveillance system caught him first.

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A former White House teleprompter operator has been ordered to pay $172,539 after regulators found he used confidential presidential speech drafts to place winning bets on a CFTC-regulated prediction market. Gabriel Perez, who held the title of Deputy Assistant to the President and Technical Advisor, traded contracts on KalshiEX between December 2025 and February 2026, covering more than a dozen Trump speeches. The Commodity Futures Trading Commission announced the settlement on August 29, 2026. Perez had served in the role since 2016, giving him trusted access to presidential speech drafts across multiple administrations and establishing a depth of institutional access that went largely unchecked.

Perez made $107,539 in unlawful profits, though Kalshi froze more than $90,000 of that amount in his account before he could access it, acting on its own initiative before the CFTC formally intervened. The CFTC's final order requires disgorgement of the full profit amount plus a $65,000 civil penalty. It also bars Perez from trading on any CFTC-registered platform for three years. He was placed on unpaid administrative leave by the White House in July 2026 and is no longer a federal employee.

What "Mention Markets" Are and Why They Were Vulnerable

Kalshi offers a category of contract called a mention market, where users bet on whether a specific word or phrase will appear in a named person's speech or broadcast. The mechanics are simple: if you know in advance that a speaker will use the word "tariff," you buy the contract that pays out when "tariff" appears. Perez had that knowledge in advance for every speech he loaded into a teleprompter.

The vulnerability of mention markets to manipulation extends beyond insider access. During a World Cup broadcast, a Fox sportscaster misidentified Matt Damon as Brad Pitt; news aggregators repeated the error and Kalshi's Brad Pitt mention market settled incorrectly on the false claim, costing bettors $287,866. The incident illustrates how quickly a single factual error can cascade through a contract tied to spoken words, and why the integrity of information feeding these markets is foundational.

The CFTC applied Section 6(c)(1) of the Commodity Exchange Act and its anti-fraud rule, Regulation 180.1. The agency has also pointed to Section 4c(a)(4), an anti-insider trading provision informally known as the "Eddie Murphy Rule" after the 1983 film Trading Places, which prohibits trading on material nonpublic information obtained from a government source.

Regulators were explicit that the sector is not a carve-out from fraud law. "The belief that insider trading rules do not apply to prediction markets is a myth," CFTC Enforcement Director David I. Miller said in a statement issued in connection with the AlphaRaccoon enforcement action in May 2026. Kalshi's own lead counsel, Robert DeNault, posted publicly after the settlement: "It doesn't matter who you are: violate our rules or federal law and you will face the consequences."

The Surveillance Architecture Matters as Much as the Fine

The operational detail worth noting is that Kalshi caught this independently. The exchange identified Perez's trading pattern, conducted its own interviews, withheld more than $90,000 of his profits before the CFTC formally acted, and then handed the case off to regulators. The CFTC acknowledged Kalshi's cooperation and described Perez's own conduct during the investigation as "exemplary," calling the penalty a significant reduction from what it might otherwise have imposed.

That sequence matters for any exchange or developer assessing how prediction market oversight actually works in practice. Surveillance infrastructure, not just terms-of-service language, is now a demonstrated enforcement mechanism.

Kalshi processed roughly $39.7 billion in trading volume in the 12 months prior to this settlement, with approximately 87% of that volume attributable to sports markets. The platform holds a Designated Contract Market designation from the CFTC, the same regulatory category as major futures exchanges. In August 2026, the CFTC used emergency authority to order Kalshi to continue operating in New York after the state filed a lawsuit seeking to block the platform, a development that underscores the contested but active regulatory environment the exchange is navigating.

The Second Federal-Employee Insider Trading Case in Four Weeks

This is the third CFTC enforcement action involving event contracts since April 2026, and the second to target a federal employee for insider trading in the prediction market space. It also arrives approximately four weeks after the previous settlement in this series, marking a compressed enforcement timeline regulators appear to be sustaining deliberately. In April, the agency filed its first-ever insider trading complaint in the prediction market space against Gannon Ken Van Dyke, a U.S. Army Special Forces master sergeant who allegedly used classified information about a Venezuela-related military operation, Operation Absolute Resolve, to earn more than $404,000 on Polymarket. That case included a parallel criminal indictment. In May, the DOJ and CFTC jointly charged a Google software engineer trading under the alias "AlphaRaccoon," who allegedly used internal company data on Google's "Year in Search" rankings to earn approximately $1.2 million across more than 20 Polymarket contracts.

What This Means for Users and Builders Outside the United States

For users and developers in South Asia and Africa, the enforcement trend has direct consequences. India, which ranked first in the 2026 Global Crypto Adoption Index, has directed ISPs to block Polymarket under its Promotion and Regulation of Online Gaming Act, 2025, and has taken active steps to move against Kalshi under the same law; that action was still in progress as of the settlement date and had not yet resulted in a confirmed block of the platform. Both platforms continued accepting Indian sign-ups despite the restrictions, leaving users in a legal grey zone. Indian regulators have specifically cited manipulation risk in prediction markets to justify the crackdown, and the Perez case gives them a concrete example to reference.

In Nigeria, where the Investments and Securities Act 2025 formally classified digital assets as securities, South African exchange Luno launched a prediction market product covering BTC, ETH, SOL, DOGE, and XRP price-direction bets for users in South Africa and Nigeria, in partnership with U.S. infrastructure provider Limitless. Nigerian regulators have not yet issued guidance on mention-style contracts, but the CFTC's enforcement posture is establishing a template others are watching closely. Kenya's Gambling Regulatory Authority was still formulating rules on prediction platforms as of April 2026; the pace of U.S. enforcement may accelerate that timeline.

The CFTC has separately indicated it is examining whether some mention market products make sense as a category at all. Kalshi already removed sports-related mention markets pending that review, though political and earnings-call contracts remained live as of the settlement date.