US Senate Candidate Mark Moran Says He Baited Kalshi Into Fining Him by Betting on Himself

When Kalshi published three enforcement notices targeting political candidates who bet on their own elections, it looked like a clean win for self-regulation. Then one of the candidates explained he did it on purpose.

US Senate Candidate Mark Moran Says He Baited Kalshi Into Fining Him by Betting on Himself
Mark Moran (Instagram)

Kalshi published three enforcement notices on April 22 targeting political candidates who traded on markets linked to their own elections. 

The company is trumpeting the cases – spanning Republican Congressional primaries in Texas and Minnesota and a Democratic Senate primary in Virginia – as evidence of the prediction market’s “crackdown on political insider trading.” Bobby DeNault, Kalshi’s head of enforcement, said the self-regulation demonstrates the company’s “commitment to policing all types of unfair or improper trading.”

A more complicated picture has emerged. 

Caught by Kalshi: Enriquez, Klein, Moran 

Kalshi sanctioned all three candidates under Kalshi Rule 5.17(z), which prohibits any “decision maker” or user with “any influence” over an event’s outcome from trading in connected markets. The rule takes a broad approach, and in each of the cases settled on Wednesday, it applies to political candidates who placed bets on their own races.

Ezekiel Enriquez ran in the Republican primary for the 21st Congressional District in Texas, finishing 11th with just 1.4% of the votes. He bought less than $100 worth of contracts on his own candidacy. He fully cooperated with the Kalshi investigation, accepted the findings, and agreed to a $748.20 fine and five-year suspension from the platform. Kalshi referred his case to the CFTC, but did not require referral to state agencies.

Matt Klein, a Republican candidate for Congress in Minnesota, wagered less than $100 that he would win his party’s primary. Like Enriquez, he cooperated and settled, resulting in a $539.85 fine and five-year suspension.

Mark Moran is the outlier. Running in the Democratic primary for U.S. Senate in Virginia, Moran placed 10 bets on himself over two consecutive days in November 2025 in the “Who will run for public office this year?” market.  Then, after announcing his Senate candidacy on January 21, 2026, he traded $105.56 in the “Virginia Democratic Senate nominee?” market. He also promoted that market on his social media account. Moran is priced at 1% odds on Kalshi to beat incumbent Mark Warner on Aug. 4. 

Moran admitted the violations during a phone conversation with Kalshi’s compliance and legal team, but he refused to settle, stopped responding to correspondence, and forced Kalshi to issue a unilateral disciplinary action, resulting in a $6,229.30 fine, a five-year ban, and disgorgement of any profits.

Kalshi is eager to point out the difference in fines levied against Enriquez and Klein, who cooperated, and the stiffer monetary penalty for Moran, who refused to settle.

“We granted settlements to traders who immediately acknowledged they violated the rules,” DeNault writes. “In the other case, the trader did not accept responsibility, despite clear evidence he violated the rules.”

Moran: ‘I Wanted To Get Caught’

The Moran case would not be as remarkable if he had not publicly explained his actions after Kalshi issued the enforcement notice. 

In a statement posted to X, Moran said he bet about $105 himself on “because I wanted to get caught.” He claims he placed the wager after seeing reports of possible market manipulation in the recent New York mayoral race. 

Moran says he wanted to test whether Kalshi would pursue the violation and that he aimed to expose what he describes as systemic conflicts of interest and manipulation across prediction market platforms, as well as to draw public attention to what he views as broader social harms within the prediction market industry.

He disclosed details of the settlement negotiations. According to Moran, Kalshi initially offered an $800 fine, a one-year ban, and a public statement. He refused, citing First Amendment protections against compelled speech.

Kalshi then escalated its settlement offers to about $6,000 and later to around $16,000, which Moran claims were pressure tactics designed to secure a favorable public statement and generate positive press.

Whether his account is entirely accurate remains unclear, as Kalshi has not publicly addressed the details, which raises questions. If Kalshi did include a compelled statement as part of its settlement conditions, that could create a major legal and ethical issue, separate from Moran’s rule violations.

The Klein Irony

While Moran’s case appears the most dramatic, Matt Klein’s is extraordinary in its own right. Klein co-sponsored legislation in the Minnesota State Senate that would ban certain market bets, including election-related ones. Yet he placed the exact type of bet on Kalshi he sought to prohibit, a clear contradiction.

These three cases do not exist in isolation, as prediction markets continue to expand aggressively across the U.S. under a federal regulatory framework overseen by the CFTC.

Kalshi chose to publicize all three enforcement actions at the same time to demonstrate its self-governance and counter criticism that it has not done enough to address insider trading. 

This move appears aimed at generating positive press amid ongoing pressure from state regulators and attorneys general. By voluntarily increasing transparency around enforcement, Kalshi signals good faith to regulators without conceding ground on the broader legal questions surrounding the platform’s legitimacy.

However, the cases do not demonstrate whether the platform can handle a situation in which a well-resourced defendant chooses to fight back on principle. 

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Andrew O'Malley
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Andrew has more than a decade of experience reporting on the wider gambling industry. He started his writing career in 2014 while completing an honors degree in Economics and Finance. After a short stint in the financial consulting world, he dived into full-time writing, covering a wide range of gambling-related topics.

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