Ex-White House Staffer Fined $172,000 for Insider Trading on Prediction Market

The Commodity Futures Trading Commission has ordered a former White House teleprompter operator to pay more than $172,000 for using early access to presidential speeches to profit from prediction markets. The individual, who had advance knowledge of President Trump’s prepared remarks before they were delivered, allegedly used that access to place trades on contracts predicting which specific words the president would say during his speeches.

Settlement Includes Profit Repayment and Reduced Penalty

Under the settlement, the former staffer must repay over $107,000 in trading profits along with a $65,000 civil fine, and faces a three year ban from trading on any federally regulated platform. He agreed to the settlement without admitting wrongdoing but received a reduced penalty after cooperating with investigators and accepting responsibility for his actions.

Trading Platform’s Surveillance System Flagged the Activity

The prediction market platform where the trades occurred assisted regulators throughout the investigation, with its enforcement team crediting internal monitoring tools for detecting the suspicious trading pattern. A platform representative emphasized that all users, regardless of background, are subject to the same enforcement standards.

Part of a Broader Crackdown on Prediction Market Abuse

This marks the second insider trading settlement involving a government-linked individual on event prediction markets in recent weeks, following a similar case involving a former lawmaker accused of trading based on non-public knowledge of his own event attendance.

Separately, federal authorities have also pursued insider trading cases in the private sector tied to prediction markets, prompting congressional scrutiny into how these platforms verify user identity and detect irregular trading behavior. Regulators have since introduced new oversight proposals aimed at strengthening rules across the fast-growing prediction market industry.