US CFTC Investigation into White House Teleprompter Operator: Kalshi - Market Insider Trading and Compliance Governance Analysis

Core Summary

The U.S. CFTC is investigating White House teleprompter operator Gabriel Perez for allegedly abusing his access to Trump's prepared speeches.Non-public informationHe made over $10 betting on "keyword mentions" in the Kalshi prediction market.

Kalshi's internal monitoring system detected unusual transactions in March 2026 andActively report to CFTCApproximately $9 in profits from the account in question has been frozen, and the user has been permanently banned from trading.

Perez is currently in discussions with the CFTC regarding...civil settlementNegotiations are underway, with the expected return of all profits and a commitment not to engage in similar transactions again; the Manhattan U.S. Attorney's Office has decided not to launch a criminal investigation.

This case pertains to the prediction market sector.First White House Insider Trading InvestigationThis exposed a structural compliance vulnerability in Mentions Markets regarding the misuse of non-public information.

The White House issued an internal memo in March 2026 explicitly prohibiting employees from betting on prediction markets using non-public information; Kalshi updated its rules last month requiring users to...Disclosure of employer information.

📑 Table of Contents

Event overview — Suspect's identity, amount involved, timeline, and type of contract involved
Kalshi monitoring mechanism and CFTC transfer process — How can an exchange's internal compliance system trigger an investigation?
Predicting Market Regulatory Framework and Enforcement Trends — CFTC Jurisdiction over DCM Event Contracts and Recent Enforcement Actions
Industry Impact and Compliance Implications — Profound implications for internal controls of prediction market platforms and the oversight of government employee transactions
FAQ

This article was originally written by the Aiying Compliance Team and requires authorization to be reproduced.

On July 16, 2026, the news that the U.S. Commodity Futures Trading Commission (CFTC) had launched an investigation into a White House teleprompter operator drew widespread attention. This case involved the use of non-public information from presidential speeches to place "keyword mention" bets on Kalshi, a designated contract market (DCM) registered with the CFTC. This was not only the first case in the prediction market sector involving a White House insider suspected of insider trading, but also a wake-up call for compliance in the rapidly expanding prediction market industry.

Event overview

Suspect's identity and the acts involved

The person under investigation, Gabriel Perez, served as President Trump's teleprompter operator from 2016, with the official title of "Deputy Assistant to the President and Technical Advisor." His annual salary in 2026 was $175,000 , making him one of the highest-paid White House employees. According to ABC News, citing multiple sources familiar with the matter, Perez is suspected of using his position to obtain the transcripts of more than ten of Trump's speeches in advance over a three-month period from December 2025 to February 2026 , and then placing targeted bets on the "Mentions Markets" of the Kalshi platform ( ABC News, July 16, 2026 ).

The amount involved and the specific contracts

The contracts in question focused on Kalshi's "mention market"—a binary option-style event contract where users could bet "yes" or "no" on whether a specific word would be mentioned during speeches by public figures like Trump. The investigation found that Perez bet on the following speeches:

State of the Union Address, February 2026(State of the Union)
Prime-time televised address in December 2025
Speech at the World Economic Forum in Davos, January 2026
Speech at the Medal of Honor Award Ceremony, March 2026
Detroit Economic Club Speechand characters

According to sources, Perez profited over $10 through these transactions , of which approximately $9 was frozen by Kalshi. The investigation also found that when Trump deviated from his prepared remarks and skipped sections where Perez had originally bet, Perez would withdraw some of his bets in real time during the speech ( NPR, 2026-07-16 ).

Investigation progress and settlement negotiations

The CFTC has interviewed Perez, who admitted to some of the transactions. Perez is currently negotiating a civil settlement with the CFTC , which may include returning all profits and a commitment not to engage in similar transactions again. According to sources, the CFTC had notified the Manhattan U.S. Attorney's Office, but prosecutors decided not to launch a criminal investigation ( CNN, July 16, 2026 ).

At a press conference on July 16, White House Press Secretary Karoline Leavitt said that Trump considered the matter "deeply regrettable and, frankly, a disgrace," and that Perez had been placed on unpaid executive leave ( AP, 2026-07-16 ).

Kalshi monitoring mechanism and CFTC transfer process

Internal discovery path of the exchange

In a statement, Robert DeNault , Head of Enforcement at Kalshi, confirmed that Kalshi's monitoring team quickly flagged the relevant transactions as abnormal after an internal investigation by the exchange and transferred the case to the CFTC.

"Kalshi's monitoring team quickly flagged these transactions as anomalous after the exchange's investigation and referred them to the CFTC. We have been assisting the regulator in this matter and have provided the evidence we have gathered, as we do with any referrals."

According to a source with direct knowledge of the matter, Kalshi's monitoring system detected unusual betting patterns in the "Mentions Market" that did not conform to typical trading patterns. When the company tracked the relevant accounts, it discovered that the trader was a federal employee , which triggered an internal escalation process and was reported to the CFTC ( NPR, 2026-07-16 ).

CFTC's enforcement jurisdiction over DCM

Kalshi, as a CFTC-registered Designated Contract Market (DCM), is governed by the Commodity Exchange Act (CEA). Under CEA Section 6(c)(1) and CFTC Regulations 180.1(a)(1) and (3) , trading on a DCM using non-public information can constitute fraud or manipulation. On February 25, 2026, the CFTC Enforcement Division issued an Advisory Notice on Enforcement of Prediction Markets , reiterating that the CFTC has full enforcement authority over all illicit trading on DCMs, including trading using non-public information obtained through breach of pre-existing confidentiality obligations ( CFTC, 2026-02-25 ).

Predicting Market Regulatory Framework and Enforcement Trends

Evolution of the CFTC's Regulatory Attitude

The CFTC's regulatory stance on prediction markets has undergone a significant shift in recent years. In 2024, the CFTC proposed a rule attempting to classify contracts for political election events as "gambling" and prohibit them. However, in a 2025 court ruling (Kalshi v. CFTC), the U.S. District Court for the District of Columbia ruled that the CFTC had overstepped its authority—the court held that the Kalshi contracts essentially involved "elections, politics, congressional and partisan control" rather than "gambling or illegal activities," and the CFTC ultimately dropped its appeal.

On June 10, 2026, the CFTC released a new version of the Event Contracts Rule proposal , which shifted to a "contract-specific approach" for determining public interest and added procedural safeguards—requiring the CFTC to provide written explanations to prediction markets when initiating a review and allowing them to submit written responses ( Congressional Research Service, 2026 ).

Recent series of law enforcement actions

The Perez case is not an isolated incident. Since 2026, there have been multiple insider trading investigations and prosecutions in the prediction market sector:

December 2026U.S. Army Special Forces soldier Gannon Ken Van Dyke is accused of using classified military information to bet on the arrest of Venezuelan President Maduro on Polymarket and profiting from it. 40 million USD.
December 2026Google software engineers are accused of profiting from Polymarket using internal company search data. 120 million USD.
May 2026 (Kalshi internal disciplinary action)A political candidate was fined $2,246.36 and banned for 5 years for trading his candidacy on Kalshi; a YouTube channel editor was fined $20,397.58 and banned for 2 years for trading pre-editing rights.CFTC Enforcement Advisory Notice, February 25, 2026).

Industry Impact and Compliance Implications

Compliance requirements for prediction market platforms

The Perez case exposed the structural vulnerability of prediction markets—especially “mention markets”—to information asymmetry . Unlike insider trading in listed companies, “mention markets” contracts deal with the statements of public figures, and the range of people who can obtain this information in advance is far greater than the traditional concept of “insiders”—including speechwriters, teleprompter operators, translators, event planning teams, and more.

In response, Kalshi updated its rules last month, requiring all users to disclose employer information . Kalshi's chief lawyer, DeNault, stated in a May interview with ABC News: "If you have certain information because of a job or employment relationship, and if you have a corresponding legal obligation, you have a responsibility not to misappropriate that information for your own profit" ( ABC News, July 16, 2026 ).

A New Dimension of Government Employee Transaction Regulation

On March 24, 2026, the White House issued an internal memo to all employees, explicitly warning that "the misuse of non-public information by government employees for financial gain is a very serious violation of the law and will not be tolerated " ( NPR, July 16, 2026 ). Subsequently, the U.S. Senate passed internal rules prohibiting senators from trading in prediction markets , and Congress is pushing for legislation to prohibit elected officials and other personnel from betting on government policies and actions in prediction markets.

CFTC Chairman Mike Selig (appointed by Trump) had previously publicly pledged to crack down on insider trading in prediction markets, including insider trading originating from the White House. The final settlement in this case will set an important precedent for handling similar cases.

FAQ

What is Kalshi's "Mentions Markets"?

"Mention Markets" are binary event contracts on the Kalshi prediction market platform , allowing users to bet "yes" or "no" on whether a specific word, phrase, or topic will be mentioned in a public speech by a public figure. For example, prior to Trump's national address on the evening of July 16, Kalshi traders had wagered over $800,000 on whether words such as "Hormuz," "election fraud," and "fake news" would appear . Because Trump is known for frequently going off-script, the price of these contracts fluctuates wildly ( NPR, 2026-07-16 ).

What are the legal similarities and differences between this case and insider trading by listed companies?

The legal basis involved in the Perez case overlaps with and differs from that of insider trading in listed companies. Both cases apply the misappropriation theory —traders violate their confidentiality obligations regarding the source of information by misappropriating non-public information for trading. However, the CFTC's enforcement basis is Section 6(c)(1) of the CEA (anti-fraud/manipulation provisions) and Regulation 180.1, not the Securities Act 10b-5 enforced by the SEC. Furthermore, the definition of "insiders" in prediction markets extends far beyond the traditional "company insiders" under securities law, posing new challenges for the CFTC's future rulemaking.

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The US CFTC investigation into White House teleprompter operator Kalshi: Prediction Market Insider Trading and Compliance Governance Analysis