Kalshi Bet Backfires: $172,000 Fine for Insider Play

Gabriel Perez had access most traders would pay millions for — a front-row seat to every word the President of the United States was about to say. According to the Commodity Futures Trading Commission, he used that access to place wagers on Kalshi, the prediction market platform, betting on specific words Donald Trump would use in speeches before delivering them. The CFTC fined Perez $172,000.

The mechanics were straightforward, the breach was not. Perez held a position of institutional trust — White House teleprompter operator — and converted that trust into a trading edge. Per The Guardian, the CFTC's action represents one of the first significant enforcement actions against a federal employee exploiting prediction market access with insider information.

The case draws a line the prediction market industry has been quietly hoping regulators wouldn't draw: the moment you possess non-public information and place a directional bet on a verifiable outcome, you are no longer speculating — you are extracting. The instrument is new. The offense is not.

For Kalshi, the optics carry weight. The platform has spent years arguing that political prediction markets are legitimate price-discovery tools, not venues for manipulation. One federal employee with a teleprompter script just made that argument harder to sustain.

Regulators in both Washington and Brussels are watching how platforms respond to enforcement signals like this one.

One move: If your business touches prediction markets or event contracts, review your insider information policy before the CFTC decides your silence is an answer.