Kalshi Bans Three US Politicians for Betting on Own Races

The platform-level sanctions, announced on 22 Apr, represent some of Kalshi's largest enforcement actions against political insider trading to date. They follow the company's February initiative that opened nearly 200 related investigations.

Moran case draws heaviest penalty

Mark Moran (independent), a former investment banker and reality TV contestant on the HBO Max dating show FBoy Island, faced the strictest measures after refusing to settle. The candidate for Senator in Virginia placed 10 orders on the market "Who will run for public office this year?" on 13 and 14 Nov 2025. He announced his candidacy in the Democratic primary for Virginia's Senate seat on 21 Jan, before later switching to independent status.

During a call with Kalshi's compliance and legal teams, Moran acknowledged the trades – and later ones linked to his campaign – breached platform rules. He subsequently stopped responding and declined settlement. Kalshi banned him from the platform for five years, fined him $6,229 and ordered confiscation of any profits.

In an X post and interviews, Moran admitted placing a roughly $100 bet deliberately to test enforcement. He framed the action as an attempt to highlight alleged issues with the platform and generate attention for his campaign against incumbent Sen. Mark Warner (Democrat).

Settlements for Klein, Enriquez

Matt Klein (Democrat), a Minnesota state senator running in the primary for the state's 2nd congressional district, agreed to settle. Kalshi added him as a market option after his candidacy announcement. He received a $539.85 fine and a five-year trading suspension. Klein, who placed a $50 bet out of curiosity, is also a co-sponsor of legislation in Minnesota that could restrict prediction markets – an ironic detail given the violation.

Ezekiel Enriquez, a Republican who ran for a House seat in Texas' 21st Congressional District and lost in the March primary, also settled. He faced a $784.20 penalty and the same five-year ban. One attempted trade was blocked by Kalshi's systems. Enriquez cooperated fully, but offered limited public comment beyond not disputing the findings.

All three cases involved bets typically under $100, but were flagged by automated safeguards introduced to prevent candidates from trading on events they could directly influence. These remain internal platform actions, not criminal charges or direct interventions by the Commodity Futures Trading Commission (CFTC).

Pattern mirrors February actions

The latest cases echo Kalshi's February enforcement against California politician Kyle Langford, who wagered roughly $200 on his own gubernatorial bid before switching to a congressional race, and a video editor for YouTube creator MrBeast who used non-public information about upcoming videos to trade profitably. Those actions also resulted in multi-year bans and fines, signalling a apparent consistent approach to policing self-interested or advantaged trading.

Prediction markets tighten rules amid scrutiny

Kalshi and rival Polymarket dominate the US prediction market space, where participants place binary bets reflecting probabilities on events from elections to economic indicators. Both have updated guidelines to explicitly prohibit market manipulation and political insider trading, with Kalshi rolling out new technological guardrails and Polymarket strengthening its rules in March to bar trading on stolen confidential information, illegal tips or by those who can influence outcomes.

The actions come as prediction markets face heightened congressional scrutiny and calls from some lawmakers for broader restrictions, including bans on politicians trading on policy or election outcomes. Supporters argue strong self-policing demonstrates industry maturity under CFTC oversight, while critics question whether it suffices to protect market integrity.

Prediction markets have seen explosive growth, with combined monthly volumes routinely exceeding $15bn in early 2026. As 2026 midterm primaries approach, these repeated enforcement actions could test user trust and overall election market liquidity.