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Kalshi Penalizes Congressional Candidates for Election-Based Insider Trading

Apr 22, 2026 20:45 UTC
Short term

Prediction market Kalshi has suspended and fined three U.S. congressional candidates for trading on their own election outcomes. The move follows the implementation of new safeguards designed to prevent political insider trading on the platform.

  • Three candidates from VA, MN, and TX suspended for 5 years
  • Mark Moran fined $6,229.30 for trading on his own candidacy
  • Matt Klein and Ezekiel Enriquez fined $539.85 and $784.20 respectively
  • Actions follow the rollout of new platform safeguards against political insider trading
  • Moran claims the trades were a stunt to highlight platform issues

Prediction market platform Kalshi has announced the suspension and fining of three candidates for Congress from Virginia, Minnesota, and Texas after detecting trades placed on their own electoral prospects. The enforcement actions stem from newly released safeguards aimed at blocking political candidates from leveraging non-public information or influence over their own campaigns for profit. Mark Moran, a Virginia Senate candidate, received the heaviest penalty with a $6,229.30 fine and a five-year suspension. Kalshi reported that Moran traded in two separate markets: one regarding individuals running for public office in 2026 and another specifically on his own candidacy after announcing his run for the Democratic primary. Two other candidates, Minnesota Democrat Matt Klein and Texas Republican Ezekiel Enriquez, were also suspended for five years. Klein was fined $539.85, while Enriquez paid $784.20. According to Kalshi, both Klein and Enriquez cooperated with the internal investigations and acknowledged that their trading activity violated exchange rules. In a statement on X, Moran disputed the nature of the trades, claiming the activity was a calculated stunt intended to draw attention to the platform's operations. He further threatened to impose significant penalties and a 'vice tax' on Kalshi if elected to the Senate to help reduce the national debt. While the financial totals involved in these specific cases are relatively small, the move signals a tightening of internal compliance within the growing prediction market sector as these platforms face increased scrutiny over fairness and legal standing.

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