Prediction markets are facing increased scrutiny for their ability to trade on classified events. The federal government is moving to prevent people with access to sensitive information from profiting on prediction markets.
The Pentagon has prohibited military personnel and Department of Defense employees from using nonpublic government information to place trades. This has caused questions over insider trading once again.
Defense Secretary Pete Hegseth issued the directive in an Oct. 20 memorandum, warning that trading based on sensitive government information could create national security risks.
Pentagon Raises National Security Concerns
The Pentagon's concerns extend beyond military personnel gaining an unfair advantage over other traders. Officials worry that trading activity surrounding military operations could reveal clues about upcoming strikes, troop movements, or other sensitive decisions.
Even when a trade doesn’t directly expose classified information, unusual trading patterns can attract attention. Foreign adversaries could potentially monitor prediction markets for signals about American military activity.
The directive also addresses conflicts of interest involving government employees who may have financial positions tied to events they understand or influence. Someone with advance knowledge of a military operation could potentially turn that information into significant profits before the public learns what happened.
Prediction markets wanted to be seen as a trusted source for predicting events, and their positioning has worked, according to Hegseth’s note.
Polymarket Case Brings Insider Trading Into Focus
The Pentagon's move follows the case involving Army Master Sgt. Gannon Ken Van Dyke, who was charged in April over allegedly using classified information related to the U.S. operation that captured Venezuelan leader Nicolás Maduro.
According to federal prosecutors, Van Dyke placed more than $32,500 in trades on Polymarket connected to Maduro's removal from power. Authorities allege that those trades generated more than $400,000 in profits, with much of the activity occurring before the operation became public.
Van Dyke has pleaded not guilty, and the allegations haven’t been proven in court. Nevertheless, the case has become a prominent example of the risks that emerge when individuals with access to confidential information can potentially profit from upcoming events.
It also raises questions about how platforms identify suspicious activity. A well-timed wager is not automatically evidence of insider trading, but substantial profits on contracts placed shortly before major announcements can attract investigators' attention.
Prediction Markets Face More Pressure
The Pentagon's directive comes amid broader concerns about insider trading across the prediction market industry. Polymarket has faced scrutiny over profitable wagers placed shortly before major geopolitical announcements, while Kalshi has taken action against congressional candidates who traded on their own election outcomes.
These incidents have increased pressure on operators to demonstrate that their markets have safeguards against people exploiting information unavailable to ordinary users. The industry's growth has brought more attention from regulators and lawmakers, particularly when contracts involve government decisions, elections, or national security.
The Trade Handle Prediction Markets Take
For Kalshi and Polymarket, maintaining trust will be essential as they compete for more users and expand into new markets. Participants need confidence that prices reflect collective expectations rather than the private knowledge of someone positioned to benefit financially.
The Pentagon's directive doesn’t prohibit every prediction market trade made by military personnel. Instead, it specifically targets the use of nonpublic government information for financial gain, reinforcing the consequences of exploiting access to sensitive information.
For an industry built on trust in market prices, preventing insider trading is becoming more than a compliance issue. It could prove essential to prediction markets' long-term credibility.