Gabriel Perez sat in a room the public never sees, reading words the public was not yet allowed to hear, and he traded on them.
The Commodity Futures Trading Commission's settlement order against Perez describes a pattern that ran across 43 contracts tied to the number of times President Trump mentioned specific terms in prepared remarks. Perez, who operated the teleprompter, had access to those remarks before delivery. He traded profitably on 39 of the 43. The CFTC ordered him to disgorge $107,539 in profits and pay a total settlement of $172,000.
The mechanism matters more than the number. Perez did not hack a server or bribe a staffer. He read a document he was given to do his job, then opened an app. The information asymmetry was not manufactured — it was structural. His role put him inside the information perimeter that prediction markets assume no one can breach.
This is the problem prediction market operators have not solved, and the Perez case makes it concrete in a way that abstract regulatory arguments do not. The CFTC's standard framework for commodity manipulation requires proving someone acted on material non-public information. In a political event contract, determining what counts as material is straightforward: anything that resolves the contract before the public knows the outcome. Perez resolved 39 of 43 contracts before the words left the President's mouth.
The institutional implication sits upstream of the individual settlement. Prediction markets have spent the last eighteen months arguing that their contracts belong in the commodity regulatory framework — that they are closer to futures than to wagers, and that CFTC oversight is both sufficient and appropriate. The Perez case is CFTC enforcement doing exactly what that argument requires it to do. And it still reveals the exposure. If a teleprompter operator can generate six figures in asymmetric profit across 43 contracts, the question for any operator pricing political event markets is whether their surveillance infrastructure is actually watching the right perimeter.
The federal prosecutors preparing insider trading charges in a separate prediction market probe — reported separately — are working a different legal theory. But the practical vulnerability is identical: someone with access to information that resolves a contract before the public has it. Perez's case involved prepared remarks. The probe involves different markets and different actors. The underlying architecture of the problem is the same.
I do not think the settlement lands where most people are reading it. The coverage treats this as a cautionary tale about individual misconduct. The enforcement story is actually a disclosure about market design. Kalshi and Polymarket have built sophisticated platforms and argued, credibly, that prediction markets serve a price-discovery function that benefits the public. That argument holds only if the information entering those markets is symmetric at the moment of trade. When it isn't — when someone inside the White House speech-preparation process can sit on a number before it exists publicly — the contract is not discovering a probability. It is transferring wealth from uninformed traders to informed ones, and calling it a market.
The CFTC's commodity manipulation framework requires proving that someone acted on material non-public information—defined in political event contracts as anything that resolves the contract before the public knows the outcome. Gabriel Perez's case exemplified this: as White House teleprompter operator, he accessed President Trump's prepared remarks before delivery and traded on them, resolving 39 of 43 contracts before the words left the President's mouth. The CFTC ordered disgorgement of profits and a $172,000 settlement.
Perez had structural access to President Trump's prepared remarks before public delivery—a document provided to him to perform his job. He then traded on the specific terms mentioned in those remarks across 43 contracts tied to word frequency. The information asymmetry was not manufactured through hacking or bribery but embedded in his legitimate workplace role, placing him inside the information perimeter that prediction market operators assume cannot be breached.
The case exposes that prediction market operators' current surveillance infrastructure may not watch the correct perimeter for insider threats. If a teleprompter operator could generate six figures in asymmetric profit across political event contracts, platform operators like Kalshi and Polymarket face a design vulnerability: their price-discovery function depends on excluding actors with advance access to contract-resolving information. The Perez case is CFTC enforcement validating the regulatory framework prediction markets sought, while simultaneously revealing it does not solve the underlying architectural problem.
The Perez settlement—involving 43 contracts with 39 profitable trades and $107,539 in disgorgement—provides Kalshi, Polymarket, and other operators concrete evidence of the insider access vulnerability in political event markets. Traders monitoring CFTC enforcement and the separate federal probe into prediction market insider trading now have a quantified example of how information advantage translates to cross-contract profitability, which could shift how participants price execution risk and trust premiums into political event contracts.