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Kalshi fines three candidates over political insider trading cases

By Rachel Morgan Apr 23, 2026

on Tuesday released notices tied to three enforcement investigations into political insider trading, saying the cases involved candidates who traded on their own elections. The exchange said two of the matters were settlements and one was a disciplinary action, all under newly released safeguards meant to stop political candidates from betting on races they were running in.

One case involved a candidate in the Democratic Primary for Minnesota’s 2nd Congressional District, who traded a small amount on the outcome of his own election. Kalshi said its surveillance team matched the trader to the candidate using information the trader provided and open source intelligence. The candidate acknowledged the conduct broke exchange rules and agreed to pay a $539.85 fine and accept a five-year suspension from the platform.

A second case centered on a Republican Primary candidate in Texas’s 21st Congressional District. Kalshi said it blocked the trader before the activity could continue and then ran a full investigation. That candidate later agreed to settle, acknowledged the rule violation, paid a $784.20 fine and accepted a five-year suspension.

The third case involved a candidate for the Democratic Primary for . Kalshi said he traded in two markets tied to his campaign, including one in 2026 on individuals who would run for public office and another after he announced his candidacy for the Senate race. The exchange fined him $6,229.30 and suspended him for five years.

The cases matter now because they show how quickly prediction markets can run into conflicts when candidates use them to trade on elections they themselves are shaping. Kalshi said the violations were caught after it rolled out new safeguards designed to block political candidates from trading on their own races, and that regulated exchanges have to keep adapting their systems to deal with insider threats.

There is still a sharper question hanging over the episode: how many more attempts might have been stopped before they became cases at all. Kalshi said the matters did not rise to the level of referrals to the or the , which it said it reserves for more serious cases. For now, the exchange has drawn a line, and the penalties suggest it expects candidates to know exactly where it is.

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