Here’s what happened.
President Donald Trump has been pulled into an unusual White House controversy after a former government employee was accused of using advance access to presidential speeches to make more than $107,000 in prediction-market profits.
The Commodity Futures Trading Commission announced Friday that Gabriel Perez, a White House teleprompter operator, must surrender $107,539.02 in profits and pay an additional $65,000 civil penalty.
That brings the total financial consequences to $172,539.02.
Perez was also handed a three-year trading ban.
The allegations do not accuse Trump of participating in the trades, receiving any money from them or knowing about the activity while it was taking place.
Instead, the case centers on a White House employee who regulators say took information obtained through his government position and improperly used it for personal financial gain.
Trump Speeches Became the Center of the Case
The controversy involves a relatively new corner of America’s financial markets: event contracts.
According to the CFTC, Perez traded presidential “mention market” contracts between December 2025 and February 2026.
These contracts allowed participants to take financial positions based on whether the president would use particular words or phrases during speeches.
For members of the public, determining exactly what Trump might say required making a prediction.
Perez, however, had something ordinary traders did not.
As a White House teleprompter operator, he had access to presidential speeches before Trump delivered them to the public, according to federal regulators.
The CFTC determined that Perez improperly used that nonpublic information to trade contracts for his own benefit.
More Than $107,000 in Profits
The alleged advantage proved highly profitable.
Federal regulators said Perez generated more than $107,500 from the trades.
Under the settlement announced by the CFTC, he must surrender $107,539.02 in profits.
He must also pay a $65,000 civil monetary penalty and comply with a three-year prohibition on trading.
The CFTC said the monetary penalty represented a substantial reduction because Perez provided “exemplary cooperation” during the government’s investigation.
The case illustrates the potentially serious consequences facing government employees who use privileged information for personal financial gain.
Kalshi Helped Federal Regulators
The trading took place on Kalshi, a prediction-market platform where participants can trade contracts based on the outcome of future events.
The CFTC specifically acknowledged assistance from KalshiEX in its investigation.
Kalshi’s head of enforcement, Robert DeNault, has said the company’s surveillance operation detected prohibited trading involving a White House employee.
The broader message from the company was straightforward: political connections or government employment do not exempt traders from platform rules or federal law.
That could become increasingly important as prediction markets grow in popularity and expand into areas involving politics, economics and government decisions.
Why Advance Access Was So Valuable
The heart of the controversy is the difference between making an educated prediction and possessing information that other market participants do not have.
Consider a contract asking whether Trump will use a particular phrase during an upcoming address.
Most traders would have to study Trump’s previous speeches, current political issues and recent statements before deciding whether to put their money behind the prediction.
Someone who has already seen the prepared speech could potentially have an enormous informational advantage.
That’s why Perez’s White House position became so important to the federal investigation.
The CFTC said he had access to Trump’s speeches before they were publicly delivered and misappropriated that information in violation of his duty of trust and confidence.
Trump Was Briefed About the Controversy
The matter eventually reached President Trump.
White House press secretary Karoline Leavitt previously confirmed that she discussed the situation with the president.
She said Trump viewed what happened as “deeply unfortunate” and “a disgrace.”
Importantly, federal regulators have not accused Trump of participating in Perez’s trading activity.
There is also no allegation in the CFTC enforcement announcement that Trump received any of the profits or provided Perez with speech information for the purpose of making trades.
That distinction matters because the controversy involves access Perez allegedly obtained through his employment—not wrongdoing by the president himself.
Bigger Questions for Washington
The case could have implications extending well beyond one White House employee.
Thousands of federal workers potentially encounter information that has not yet been released to the public.
Depending on their jobs, government employees can learn about policy decisions, regulatory actions, economic developments and official announcements before ordinary Americans hear about them.
The rapid growth of prediction markets creates another potential way for privileged information to acquire significant financial value.
That presents a challenge for both regulators and government agencies.
Where should the line be drawn between an employee making an ordinary prediction and using confidential government information for personal profit?
In Perez’s case, the CFTC concluded that line had been crossed.
Prediction Markets Enter the Political Spotlight
Prediction markets have become increasingly visible in American politics, particularly around elections and major government events.
Supporters argue that these markets can provide useful information about what participants collectively believe will happen.
But their expansion also creates new enforcement questions.
Political insiders, government employees and others may occasionally possess information unavailable to ordinary traders.
That makes effective surveillance and enforcement increasingly important if the markets are going to maintain public confidence.
The Perez case provides an early example of what can happen when regulators conclude that privileged government information has been transformed into a trading advantage.
A Costly Lesson From Inside the White House
For Trump, the episode creates an unwanted headline involving someone who worked behind the scenes during his public appearances.
For Perez, the consequences are far more direct.
He must surrender more than $107,000 in trading profits, pay another $65,000 penalty and remain out of trading for three years.
The total financial hit comes to $172,539.02.
But the larger significance may be the warning the case sends throughout Washington.
Access to confidential government information can carry enormous responsibility—especially when that information could potentially be converted into financial profit.
As prediction markets become a larger part of America’s financial and political landscape, regulators are likely to face more questions about where legitimate speculation ends and improper use of privileged information begins.
In this case, federal authorities have made their position clear.