Trump's Teleprompter Operator Suspected of Insider Trading on Kalshi
Gabriel Perez, the teleprompter operator for Trump since 2016, is under investigation by the U.S. Commodity Futures Trading Commission (CFTC) for allegedly betting on the prediction market Kalshi based on advance knowledge of speech content. Over three months, Perez placed bets on more than ten speeches, earning over $100,000. Kalshi's enforcement director, Robert DeNault, stated that the platform's monitoring team detected unusual trading and quickly referred the case to the CFTC, freezing accounts and seizing over $90,000 in profits. Kalshi is cooperating with regulators to provide evidence, highlighting the regulatory challenges of insider trading in prediction markets. Concerns have arisen over White House aides profiting from their positions in the "Mentions" market.
ABAB AI Insight
Gabriel Perez has served as Trump's teleprompter operator since the 2016 campaign and has been publicly mentioned by Trump multiple times, with no prior record of violations. This incident involves him systematically betting on multiple speeches on the Kalshi platform using insider information from the White House, including the State of the Union and Davos speeches. In terms of capital pathways, prediction market platforms attract retail and institutional funds through event contracts, while insiders like Perez exploit their positional advantage for asymmetric information arbitrage. Kalshi has quickly frozen accounts and cooperated with the CFTC to maintain a compliant image and expand market share. Similar to the investigation of George Santos for betting on his own State of the Union attendance and other cases of politicians using non-public information for trading, prediction markets are currently in a phase of tightening regulation and rapid expansion, with large platforms strengthening internal controls to address federal scrutiny. Essentially, this reflects regulatory changes: the CFTC is tightening enforcement against insider trading in prediction market event contracts, filling gaps in traditional securities law through self-examination and referral mechanisms, and pushing the industry from wild growth to controlled compliance, with pricing power gradually concentrating in platforms with strong monitoring capabilities.