Key Takeaways
- Academic research suggests prediction market insider trading enforcement needs calibration rather than maximum punishment
- Both excessive and insufficient enforcement negatively impact market precision, new economic analysis reveals
- Kalshi implements mandatory employer disclosure for traders participating in high-risk markets
- Platform reported 20+ enforcement referrals and prevented 100+ suspicious trades during Q1 2026
- Criminal charges filed against Google employee and military personnel for Polymarket insider trading in 2026
The prediction markets sector faces mounting scrutiny over insider trading practices, prompting Kalshi to implement significant regulatory measures. Simultaneously, emerging academic research questions whether aggressive enforcement strategies represent the optimal approach.
On June 2, Balbinder Singh Gill, who serves as assistant professor of finance at Stevens Institute of Technology, released research advocating for proportional rather than maximum enforcement strategies.
Gill’s economic modeling demonstrates that prediction market precision follows a “hump-shaped” pattern relative to enforcement intensity. Insufficient oversight allows insiders to dominate and discourage ordinary participants. Conversely, excessive enforcement eliminates valuable insider knowledge that contributes to market accuracy.
“The same insider trade that improves the accuracy of the price today can reduce the participation that makes the price informative tomorrow,” Gill stated.
Enforcement Should Match Trade Type
According to Gill’s analysis, insider trading cases require differentiated treatment. Individuals who independently develop information through personal research merit minimal enforcement, since penalizing them discourages productive information gathering.
Those utilizing leaked or classified intelligence warrant stronger enforcement measures. Meanwhile, participants capable of directly affecting outcomes — such as political candidates wagering on their own elections — require maximum penalties.
“Trading by those who can move the outcome warrants the stiffest enforcement, because their positions invite manipulation,” Gill explained.
Platform Implements New Surveillance Measures
Kalshi announced enhanced regulatory protocols this week following recommendations from its independent Surveillance Audit Committee, established in February 2026.
Participants in high-sensitivity markets — encompassing contracts related to corporate performance or national security matters — now must verify their employment through a digital submission form prior to trading.
The platform additionally deployed a market-specific risk evaluation framework, assessing variables including regulatory adherence, insider trading vulnerability, and national security implications.
Additional whistleblower mechanisms were established, enabling community members to flag questionable trading activity directly to platform administrators.
During Q1 2026, Kalshi submitted over 20 cases to law enforcement agencies, conducted more than 150 internal investigations, and prevented over 100 potentially illicit trades through automated screening technology.
These initiatives follow notable prosecutions on competing platform Polymarket. In May, federal authorities charged a Google engineer with exploiting proprietary corporate information to generate approximately $1.2 million in profits. Separately, an active-duty military member faced charges in April for placing wagers based on classified operational intelligence.
Recent reports indicate the DOJ and CFTC are examining former representative George Santos after Kalshi suspended his account following questionable trading patterns connected to President Trump’s February State of the Union speech.
Kalshi documented $16.81 billion in trading volume during May 2026, representing an increase from April’s $14.81 billion. Polymarket recorded $7.08 billion in May volume, declining from the previous month’s $9.01 billion.
