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Prediction markets grapple with insider trading risks and murky regulations

A dancer's setlist or a star's trade rumors could be the next insider trading scandal. Why these markets operate in a legal gray zone—and what's at stake.

The image shows a crossword puzzle with the words "loss, risk, and risk" spelled out on top of a...
The image shows a crossword puzzle with the words "loss, risk, and risk" spelled out on top of a newspaper. The paper is filled with text and numbers, suggesting that the puzzle is related to financial planning and risk management.

Prediction markets grapple with insider trading risks and murky regulations

Prediction markets—platforms where users trade contracts based on real-world event outcomes—are facing fresh scrutiny. Recent controversies have highlighted potential insider trading and regulatory gaps in this fast-growing sector. From sports trades to entertainment bets, questions are rising over how these markets should be policed.

Concerns flared after the NBA trade deadline when Giannis Antetokounmpo revealed he had become a shareholder in Kalshi, a major U.S. prediction market. The timing raised eyebrows, as Kalshi had hosted a market on whether the basketball star would be traded. Days later, reports emerged about suspicious betting activity during the Super Bowl, including a new account that placed and won multiple halftime prop bets without error.

A CNBC host later posed a hypothetical: could a dancer in Bad Bunny's halftime show exploit insider knowledge of the opening song for profit? Unlike traditional stock markets, where the SEC aggressively enforces insider trading laws, prediction markets operate in a murkier legal space. While Kalshi is regulated by the CFTC—subject to the same enforcement as the NYSE or Nasdaq—many platforms fall into grey areas, particularly when trading on non-public information tied to events rather than securities.

In the EU and Great Britain, prediction markets are governed by a mix of gambling laws and financial rules, such as MiFID II. Platforms often need gambling licences, but enforcement remains inconsistent, especially when dealing with insider knowledge about political or entertainment events. A blockchain analysis of 1.7 million Polymarket addresses further exposed these gaps, showing how loosely regulated the sector can be.

Originally designed to gather collective intelligence, prediction markets now face a core dilemma: how to prevent insider trading when no legal duty exists to keep certain information—like a performer's setlist—confidential.

The debates over insider trading and enforcement inconsistencies are unlikely to fade soon. As prediction markets expand, regulators in the U.S. and Europe will need to clarify rules for trading on non-public event details. For now, the sector remains caught between financial oversight and gambling laws, with no clear resolution in sight.

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