CFTC Orders Ex-White House Aide to Pay $172,000 for Kalshi Trump-Speech Bets
Gabriel Perez, a former White House teleprompter operator, settled with the CFTC over Kalshi trades placed ahead of Trump's public remarks.

The Commodity Futures Trading Commission has ordered Gabriel Perez, a former White House teleprompter operator, to pay $172,000 to settle charges that he traded event contracts on Kalshi using advance knowledge of President Trump’s speeches. Both CoinGape and The Block confirm the core allegation: Perez placed bets on “mention markets” tied to Trump’s public remarks while he held a position inside the White House that gave him access to what the president would say before the public heard it.
What two independent reports actually confirm
The overlapping fact between the two outlets is straightforward: the CFTC fined a former White House aide for insider trading on a prediction-market platform tied to Trump’s speeches. The Block adds the specific dollar figure, $172,000, and names the venue as Kalshi, along with the contract type: so-called mention markets, where traders bet on whether a public figure will say a specific word or phrase during a live event.
That distinction matters for anyone trying to price these contracts. A mention market only pays out based on the literal content of a speech, so someone with early access to a script or teleprompter feed holds an edge no ordinary trader can replicate. The CFTC’s action treats that edge the same way securities regulators treat access to nonpublic corporate information: as a violation, not a skill.
The single-sourced detail: a pattern, not a one-off
The Block reports that this settlement marks the CFTC’s second insider trading case against a federal employee trading event contracts, and its second related settlement in four weeks. That framing appears only in that outlet’s reporting, so we flag it as single-sourced rather than independently confirmed. It is not wrong, just unverified by a second outlet at the time of writing, and readers building a compliance timeline around Kalshi enforcement should treat it as a lead to check against the CFTC’s own docket rather than a settled count.
CoinGape’s coverage, drawn from the same CFTC press release, corroborates the existence of an order against Perez but does not independently restate the $172,000 figure or the “second case in four weeks” claim in the material available for this review. That gap is exactly the kind of thing worth flagging before treating a number as agreed fact across the sector’s coverage.
Why the venue detail is not incidental
Kalshi has spent the past two years pushing event contracts, including election and speech-mention markets, into a regulatory gray zone that the CFTC now oversees directly. A federal employee trading on advance knowledge of a presidential speech is a cleaner enforcement case than most prediction-market disputes the agency has handled, because the underlying event, a live public address, has a fixed, verifiable outcome. That makes Perez’s case a template the CFTC can point to the next time it needs to argue that mention markets are subject to the same insider-trading logic as traditional derivatives.
Neither report specifies the exact date of the settlement order or details of Perez’s current employment status. Those gaps remain open, and Cryptaur will update this piece if the CFTC’s public docket adds a filed order number or additional case details.
Sources
Related articles
ECB Digital Euro Update: Three Design Tracks Confirmed, No Issuance Vote Set
ECB's progress report on the digital euro details offline payments, privacy tools and holding limits, but issuance still needs EU legislative approval.
CFTC Files Sept. 3 Motion to Dismiss CME’s June Suit Over Crypto Perpetuals
The CFTC asked a DC federal court to dismiss CME's June suit over Kalshi and Coinbase bitcoin perpetual futures, saying CME lacks…
Coinbase Launches 23 Crypto Futures in Canada With 10x Leverage Cap
Coinbase Financial Markets rolled out 23 perpetual and dated crypto futures for eligible Canadian traders, offering leverage up to 10 times.