Key Takeaways
- Academic research proposes prediction market insider trading enforcement should be “calibrated, not maximal”
- New economic framework shows both excessive and insufficient enforcement damage market precision
- Kalshi implements mandatory employer disclosure for traders in high-risk markets
- Platform reported 20+ law enforcement referrals and prevented 100+ suspicious trades in Q1 2026
- Both a Google engineer and US military personnel faced insider trading charges on Polymarket in 2026
The prediction markets industry faces mounting scrutiny over insider trading practices, prompting Kalshi to implement significant operational changes. Meanwhile, fresh academic research challenges the conventional wisdom on enforcement strategies.
On June 2, Balbinder Singh Gill, who serves as an assistant professor of finance at Stevens Institute of Technology, released research advocating for proportionate rather than maximum enforcement approaches.
Gill’s economic framework reveals that prediction market precision exhibits a “hump-shaped” relationship with enforcement intensity. Minimal enforcement allows insiders to dominate and discourage ordinary participants. Conversely, excessive enforcement eliminates the valuable insights insiders contribute to market efficiency.
“The same insider trade that improves the accuracy of the price today can reduce the participation that makes the price informative tomorrow,” Gill stated.
Categorizing Insider Trades Differently
Gill’s research distinguishes between various types of insider trading activity. According to his analysis, traders who independently gathered information through their own research merit minimal enforcement intervention, since penalizing them discourages valuable information discovery.
Traders exploiting leaked or classified information warrant more aggressive enforcement measures. Meanwhile, individuals capable of directly affecting outcomes — such as political candidates wagering on their own electoral prospects — should receive the most severe consequences.
“Trading by those who can move the outcome warrants the stiffest enforcement, because their positions invite manipulation,” Gill explained.
Kalshi Strengthens Monitoring Infrastructure
Kalshi deployed enhanced regulations this week following recommendations from its independent Surveillance Audit Committee, established in February 2026.
The platform now mandates that traders participating in sensitive markets — particularly those connected to corporate performance or national security matters — verify their employment status via an electronic form prior to executing trades.
Kalshi additionally created a risk-assessment framework for individual markets, evaluating elements including regulatory compliance standards, insider trading vulnerability, and national security implications.
The platform simultaneously launched whistleblower mechanisms, enabling users to flag questionable trading activity directly to compliance teams.
During Q1 2026, Kalshi submitted over 20 cases to law enforcement agencies, conducted more than 150 internal investigations, and successfully prevented over 100 potentially illicit trades through its screening infrastructure.
These enhancements arrive following two prominent incidents on competing platform Polymarket. In May, authorities charged a Google engineer with exploiting confidential corporate information to generate approximately $1.2 million in profits. In April, a US soldier faced charges for placing wagers based on classified military operation intelligence.
The previous week brought reports that the DOJ and CFTC launched an investigation into former congressman George Santos after Kalshi suspended his account due to questionable trades related to President Trump’s February State of the Union address.
Kalshi documented $16.81 billion in monthly trading activity for May 2026, representing an increase from April’s $14.81 billion. Polymarket registered $7.08 billion in May, declining from the previous month’s $9.01 billion.
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