The downfall of prediction markets could come from insider trading, but Kalshi is doing everything it can to prevent that from happening. If you haven’t been paying attention, the federally regulated exchange has gone all-in on protecting market integrity and limiting the potential for insider trading.
Now, Kalshi is taking another step forward by requiring certain participants to identify their employers. The move is designed to help the company detect potential conflicts of interest, reduce insider trading risks, and continue building trust in prediction markets across the country.
Which Traders Need to Identify Their Employers?
Kalshi announced on Tuesday that it has developed a scoring system that evaluates each trader’s likelihood of possessing insider information. The score is not meant to target individuals, but rather identify participants who may have access to nonpublic information that could provide an unfair advantage in specific markets.
The system focuses on traders who participate in markets where insider information could have a significant impact on outcomes. Kalshi will also consider the importance of the underlying event, with many of the higher-risk markets centered around government, military, and policy-related topics.
Robert DeNault, who leads enforcement efforts at Kalshi, released a statement following the announcement.
“By implementing these new integrity measures, we continue to lead the industry on the issue of market integrity amongst federally regulated prediction markets,” DeNault said.
A Necessary Change
The introduction of an insider trading score has largely been well received because most participants agree that prediction markets need to remain fair and transparent. Kalshi, along with other exchanges such as Polymarket, has helped bring prediction markets into the mainstream, but the industry's rapid growth has also attracted increased scrutiny.
Lawmakers in Washington have pushed prediction market operators to strengthen safeguards following several recent insider trading cases.
One of the most notable incidents occurred earlier this year when a Polymarket trader earned more than $400,000 through a series of perfectly timed trades. Investigators later alleged that the profits were generated using nonpublic information.
In April, the Department of Justice charged and arrested U.S. Army soldier Gannon Ken Van Dyke for allegedly using classified information to place profitable trades on prediction markets.
More recently, the Department of Justice charged a Google employee with insider trading after prosecutors said the individual accessed confidential and nonpublic company information to trade markets related to Google's annual “Year in Search” rankings on Polymarket.
According to prosecutors, Michele Spagnuolo generated approximately $1.2 million in profits from those trades.
While Polymarket has been associated with several of the recent headline cases, insider trading is a risk that exists across every prediction market platform. As the industry grows, exchanges will need to continue emphasizing compliance and enforcement if they want to maintain credibility with regulators and users alike.
The Trade Handle Prediction Markets Take
Prediction markets hold a major advantage over traditional sportsbooks because they are available nationwide. While operators such as DraftKings, FanDuel, and Fanatics have launched prediction market products, those offerings remain secondary to their core sports betting businesses.
For standalone prediction market exchanges, maintaining integrity is essential to long-term success.
The fastest way to damage public trust in prediction markets is to allow insider trading to become widespread. That is why efforts like Kalshi’s employer disclosure requirements and trader risk scoring system are so important.
If prediction markets are going to continue expanding across the United States, exchanges must prove they can effectively police their platforms. Taking proactive steps to identify and prevent insider trading is not only good for Kalshi, but vital for the future of the entire industry.