Trump aide’s $90K Kalshi windfall triggers insider trading scrutiny
A White House teleprompter operator has been placed on paid leave amid a federal investigation into whether he exploited advance access to President Donald Trump’s speeches to profit from political prediction markets.
Gabriel Perez, who has reportedly worked on Trump’s prepared remarks since the 2016 campaign, is under review by the Commodity Futures Trading Commission (CFTC) after allegedly earning more than $90,000 on Kalshi, a regulated event‑contract platform. The trades in question were tied to so‑called “mentions” markets, where users wager on whether the president will use specific words or address particular topics in public appearances.
According to reporting cited in the probe, the CFTC is examining whether Perez placed trades based on nonpublic information contained in draft speeches that had not yet been delivered. Investigators are said to have zeroed in on contracts linked to Trump’s State of the Union address, among other high‑profile events.
Over a roughly three‑month period, Perez allegedly bought and sold contracts tied to more than a dozen presidential speeches and appearances. The activity reportedly covered a December prime‑time address, Trump’s January remarks at the World Economic Forum in Davos, and a March Medal of Honor ceremony, among others. Because Perez’s role included operating the teleprompter and working with finalized text in advance, he would have known the president’s precise wording before it became public.
Kalshi, which offers event‑based contracts under CFTC oversight, flagged Perez’s trading patterns as suspicious. The platform froze most of the questioned profits and referred the case to regulators. Perez has acknowledged placing at least some of the trades that drew scrutiny and is said to be cooperating with the CFTC’s inquiry.
Federal prosecutors reviewed the matter but declined to open a separate criminal case, according to people familiar with the process. The CFTC’s investigation remains administrative and civil in nature, focusing on whether Perez improperly used privileged government information to trade on a regulated prediction market.
White House Press Secretary Karoline Leavitt publicly confirmed that Perez is under investigation and that President Trump has been briefed on the situation. She said Trump regarded the alleged conduct as “deeply unfortunate and, frankly, a disgrace.” Leavitt added that Perez has been placed on paid administrative leave while regulators complete their review and that another staffer would manage the teleprompter for Trump’s scheduled address that evening.
The episode is not the first time political prediction markets have collided with questions about access to restricted government information. Earlier this year, the Department of Justice charged a U.S. soldier with using classified material to trade on Polymarket contracts tied to the capture of former Venezuelan President Nicolás Maduro, underscoring the growing regulatory focus on event‑based trading platforms.
Politics as tradable data
Perez’s case comes as political communication is increasingly being treated as a form of real‑time financial data. Trump Media & Technology Group recently launched the Truth API, a paid feed designed to deliver public posts from prominent Truth Social accounts directly to trading firms, data vendors and news organizations.
The company has pitched the service as a way for subscribers to receive immediate access to posts that may move markets, influence policy expectations or shift risk sentiment. Interim CEO Kevin McGurn has framed the product as a compliant, licensed alternative to unauthorized data scraping, arguing that professional traders already monitor social‑media signals and need faster, cleaner pipelines.
“Markets already move on Truth Social posts,” McGurn has said, positioning the feed as an infrastructure layer that turns presidential and political messaging into something closer to a market data stream. In that context, public statements are not merely communications with voters but also potential catalysts for shifts in asset prices, volatility, and sector‑specific sentiment.
The Perez investigation, however, highlights a crucial dividing line: the difference between reacting quickly to public statements and trading on nonpublic drafts that have not yet been released. While Trump Media’s Truth API formalizes access to already public content, the CFTC’s interest in Perez centers on whether he traded on information that only insiders could see.
Where the legal line may have been crossed
Event‑based contracts such as those listed on Kalshi are regulated under derivatives law, and trading on material nonpublic information can raise many of the same concerns seen in traditional securities cases. If an individual has advance access to what the president will say, particularly in set‑piece events that investors closely watch, that information can be highly valuable even before markets have a chance to react.
In practice, a single word or phrase in a presidential speech-mentioning “China,” for example, or signaling a shift on tariffs, sanctions, or energy policy-can move equities, commodities, currencies, and crypto assets. Kalshi’s “mentions” markets effectively isolate that informational edge and turn it into a direct, binary wager: will the word appear or not?
Regulators are now wrestling with how to treat that dynamic. On one hand, prediction markets can provide useful information about expectations, election odds, and policy risk. On the other, they can become a channel for government employees or contractors to convert insider access into private profit, much like trading ahead of market‑moving economic data releases.
Ethics, access, and the modern White House
The allegations against Perez also revive longstanding debates about ethical rules for staff with access to sensitive political information. While insider trading laws have traditionally focused on corporate executives and financial industry professionals, modern markets increasingly respond to political decisions, regulatory signals, and geopolitical events.
That raises questions about who counts as an “insider” in a political context. Speechwriters, teleprompter operators, communications aides and policy staff may all see drafts and talking points long before they are made public. If prediction markets allow direct bets on that content, the temptation to misuse privileged access grows, especially when the sums involved can reach tens of thousands of dollars from relatively small initial stakes.
The White House’s response-placing Perez on paid leave and publicly signaling cooperation with regulators-suggests an effort to contain both legal and reputational damage. Regardless of the investigation’s outcome, agencies are likely to review internal policies governing staff trading on event‑based platforms, just as they have tightened rules around owning certain stocks or trading around economic data releases.
Prediction markets move into the mainstream
Beyond the immediate controversy, the Perez case illustrates how prediction markets have moved from the fringes of online gambling into the heart of regulatory and political scrutiny. Platforms like Kalshi and Polymarket allow traders to express views on everything from inflation prints and interest‑rate decisions to election outcomes and geopolitical flashpoints.
That growth has drawn the attention of both regulators and institutional investors. Event contracts offer a way to hedge specific risks-such as the passage of a bill, the outcome of a court case, or the wording of a policy announcement-that traditional financial instruments cannot easily capture. As volumes increase, the incentives to seek an informational edge do as well.
For regulators, the challenge is to preserve the informational value and risk‑management benefits of these markets while preventing them from becoming vehicles for systematic abuse by insiders. The CFTC’s handling of the Perez probe will likely be watched as an early test of how far agencies are willing to go to police political insider trading in the prediction‑market era.
The risk around presidential speeches
Trump’s scheduled address on the night the investigation surfaced already had open Kalshi contracts tied to probable themes, including whether he would mention China. The White House indicated the speech would detail the administration’s findings on alleged foreign interference in the 2020 election and that the president would present what it described as supporting evidence.
Such speeches are inherently market‑sensitive. References to foreign governments, technology restrictions, sanctions, or security concerns can move semiconductor stocks, defense companies, energy markets, and currency pairs. In that environment, even a narrow market like a “mentions” contract effectively monetizes advance knowledge of political messaging.
The Perez investigation exposes how difficult it is to draw a clean distinction between political communication and market‑moving data. As more traders attempt to systematically extract signals from speeches, posts, and press briefings, the incentives for those inside the process to trade ahead of the crowd will only grow.
A new frontier of insider enforcement
The outcome of the CFTC’s probe could set an important precedent. A decision that treats advance access to speech drafts as material nonpublic information analogous to corporate earnings data would mark a significant extension of insider‑trading norms into the realm of politics and communication.
That, in turn, could spur tighter compliance regimes across government agencies: mandatory disclosure of prediction‑market accounts for certain staff, outright bans on trading event contracts related to their work, or blackout periods around major announcements. It could also push platforms like Kalshi to implement stronger surveillance and identity checks for politically exposed users.
At the same time, the case underscores a larger shift: in an era when presidential posts, speeches, and offhand remarks can instantly change the trajectory of stocks, crypto assets, and commodities, political language itself has become financial infrastructure. The line between “following the news” and “trading on inside information” is blurring, and regulators are being forced to redraw it in real time.
For now, Perez remains on paid leave, Kalshi has frozen the bulk of his reported profits, and the CFTC continues its examination of whether a teleprompter operator crossed that evolving line by turning advance access to the president’s words into a private trading strategy.