The forecasting platform Kalshi has made an unprecedented disciplinary decision, suspending Republican House candidate Laurie Buckhout for three years. The reason is a violation of the fundamental principle of fair trading: betting on her own election.
Buckhout, who is fighting for a seat in North Carolina's first congressional district against Democrat Don Davis, purchased contracts worth less than $1,000, all of which were tied to her own campaign. The amount of the fine she agreed to pay was $2,589.96—more than double her initial stake. This is a clear signal to the market: even minimal attempts at manipulation will not go unpunished.
Rule 5.17(z): protecting market integrity
At the heart of the decision is the platform's Rule 5.17(z), which categorically prohibits any trader who can directly or indirectly influence the outcome of an event from participating in trading. Election candidates automatically fall under this restriction. Buckhout, having admitted the violation, fully cooperated with the investigation, which likely softened the verdict.
Buckhout herself commented on the incident with a candor rare among politicians: "I bet on myself. Literally. A stupid move, and as soon as I learned about the issue, I immediately set out to fix it. You could say my trading career on Kalshi ended very quickly."
Tightening rules: from Santos to the White House
This is not an isolated case, but part of Kalshi's systematic policy to combat insider trading. At the end of August, the platform permanently suspended former Congressman George Santos, imposing a fine of over $70,000. Santos, unlike Buckhout, refused to cooperate with the investigation, which led to such a severe punishment.
Moreover, shortly before these events, the U.S. Commodity Futures Trading Commission (CFTC), together with Kalshi, penalized a White House employee—a teleprompter operator who placed bets on the text of Donald Trump's speech. These measures demonstrate that regulators and platforms are serious about eradicating any form of insider information in prediction markets.
Analyst's perspective
Kalshi's actions represent an important precedent for the entire predictive markets industry. While the U.S. Congress considers a bill to ban lawmakers from betting on political outcomes, the platform itself is setting standards of transparency. However, the open question remains: can it effectively track all potential insiders, especially given the growing popularity of such markets? In my view, tightening the rules is not just about protecting reputation, but a necessary condition for long-term trust in this asset class.