A White House Teleprompter Operator Faces Insider-Trading Probe Over Prediction-Market Bets
Gabriel Perez, a longtime White House teleprompter operator, is under investigation by the Commodity Futures Trading Commission (CFTC) over potential insider trading on the prediction-market platform Kalshi. The White House placed Perez on unpaid leave, according to Reuters reporting published July 16, 2026 Reuters.
Perez allegedly used advance knowledge of President Donald Trump's speeches to place prediction-market bets, earning nearly $100,000 before Kalshi froze his account. The Jerusalem Post, publishing the most recent detailed account of the allegations on July 23, 2026, corroborated the near-$100,000 figure originally reported by The Daily Record on July 16 Jerusalem Post; The Daily Record.
By July 30, 2026, Reuters reported that Perez was in settlement talks with federal regulators over the alleged insider trading Reuters via Facebook.
The alleged scheme is simple in concept. A teleprompter operator handles speech text before it is delivered publicly. If that text contains policy announcements, executive orders, or references to upcoming decisions, the operator possesses what regulators call material non-public information — meaning information that could affect an asset's price and has not yet been shared with the public. Prediction markets like Kalshi, which the CFTC regulates, offer event contracts that pay out based on real-world outcomes. Those outcomes can include political and policy events whose resolution may be influenced or determined by presidential statements.
Think of it this way: if you knew a company was about to announce a merger before anyone else, you could buy its stock and profit when the news pushed the price up. The same logic applies here, except the "stock" is a contract on whether a specific political event will happen, and the "inside information" is what the President is about to say.
The alleged conduct sits at the intersection of classical insider-trading doctrine and the relatively new world of CFTC-regulated event markets. The information gap is unambiguous in structural terms. A teleprompter operator has a time advantage over the broader market regarding the content and timing of presidential remarks. If that content moves the probability of a contract's resolution, trading on it ahead of public release qualifies as using material non-public information.
The near-$100,000 in alleged gains, followed by Kalshi's account freeze, indicates that the platform's own surveillance systems flagged the activity. Kalshi's status as a CFTC-regulated exchange means it operates under federal oversight, distinguishing these contracts from unregulated offshore prediction markets. The CFTC's decision to investigate, rather than defer entirely to platform-level enforcement, signals regulatory interest in the conduct itself and potentially in the adequacy of Kalshi's pre-trade information controls.
Settlement talks at this stage suggest that both Perez's legal team and the CFTC are evaluating the strength of the evidence and the range of likely outcomes. A settlement would typically involve neither an admission nor denial of liability, a civil monetary penalty, and potentially disgorgement — meaning surrendering the alleged profits. It would also close the matter without litigation, which for a first-of-its-kind enforcement posture around prediction-market information advantages carries practical benefits for both sides. The regulator avoids setting an unfavorable precedent in court, and the individual limits downside exposure.
The broader context here is the rapid maturation of federally regulated prediction markets and the corresponding extension of insider-trading enforcement logic into them. The CFTC has historically policed market manipulation and fraud in futures and derivatives. Event contracts on political outcomes are a comparatively recent product class within that jurisdiction. Whether the specific legal theory the CFTC would deploy against Perez tracks classical misappropriation — under which a person trades on information obtained in breach of a duty to its source — or a more novel framework tailored to the mechanics of prediction markets, remains an open question. A settlement would leave that doctrinal question unresolved.
For market participants, the case establishes a clear boundary. Access to non-public information about presidential speech content is not a permissible basis for taking positions in event contracts. The freezing of the Kalshi account shows that platform-level controls are functioning as a detection mechanism. The CFTC investigation confirms that those controls feed into federal enforcement. The settlement talks indicate that the matter is progressing toward resolution without a contested hearing, which means the regulatory and legal standards specific to prediction-market insider trading will likely remain underdeveloped until a case proceeds to litigation.
Looking at what this means for the prediction-market ecosystem, the Perez matter is an early test of how information-edge enforcement maps onto event contracts. The underlying issue is not unique to Kalshi or to political speech. Any participant with advance access to information that will move a contract's probability — whether that information originates in government, corporate communications, or data feeds — faces the same legal exposure under established insider-trading principles. The novelty is the venue, not the doctrine. What remains unresolved is whether regulators will pursue these cases through litigation that clarifies the law or continue resolving them quietly through settlement, leaving market participants to infer the boundaries from enforcement actions rather than judicial opinions.
