Prediction Markets Crack Down on Insider Trading Amid Growing Scrutiny
A New Era of Accountability for Betting Platforms
The world of prediction markets is facing a reckoning. These platforms, where users place real money bets on everything from election outcomes to corporate earnings calls, have exploded in popularity over recent years. But with that growth has come increased attention from lawmakers, regulators, and critics who worry that some traders might be using insider information to stack the deck in their favor. Now, major players in the industry are taking steps to clean up their act before Congress or federal regulators step in to do it for them.
Polymarket, one of the biggest names in the prediction market space, announced significant changes to its trading rules on Monday. The New York-based company is putting its foot down on what it considers unfair trading practices, specifically targeting users who might be leveraging confidential information or illegal tips to gain an advantage. But this isn’t just about policing behavior on their U.S. platform—these new rules will apply across all of Polymarket’s operations, including their offshore exchanges. The company has created a new “market integrity” page on its website where these updated policies are now publicly displayed, signaling a commitment to transparency that the industry has arguably been lacking.
Drawing Clear Lines in the Sand
So what exactly are these new rules prohibiting? Polymarket has gotten very specific about what crosses the line. First and foremost, trading based on “stolen confidential information” or illegal tips is now explicitly forbidden. But the company went even further by clarifying that people in positions of power or influence can’t bet on outcomes they might directly affect. The example they give paints a clear picture: imagine a CEO of a publicly traded company placing bets on how many times they’ll say a particular word during their next earnings call with Wall Street analysts. Under the new rules, that CEO would be barred from participating in such a market because they have direct control over the outcome.
This distinction matters because it acknowledges something fundamental about prediction markets—they only work fairly when all participants are working with roughly the same information. When someone with inside knowledge or the ability to influence an outcome starts placing bets, the entire system becomes compromised. It’s no longer about predicting the future based on available information; it’s about exploiting an unfair advantage. Neal Kumar, Polymarket’s chief legal officer, summed up the philosophy behind these changes by saying, “Markets thrive on clarity. These rule enhancements make our expectations abundantly clear for every participant across both platforms and highlight the compliance infrastructure we have already built.”
Suspicious Bets Raise Red Flags
The timing of these policy updates isn’t coincidental. Polymarket has found itself in hot water recently after several questionable trading incidents caught the attention of lawmakers and the public. Some users placed remarkably well-timed bets on significant geopolitical events, including the capture of former Venezuelan President Nicolás Maduro and military actions involving Iran. In one particularly eyebrow-raising case, a single user apparently made hundreds of thousands of dollars by wagering on the exact timing of U.S. military strikes against Iran. The odds of someone guessing that timing correctly without access to classified information seemed impossibly low.
These incidents didn’t go unnoticed in Washington. Senator Ruben Gallego, a Democrat from Arizona, took to social media to blast what he called “insider trading in broad daylight.” His comments reflect a growing concern among legislators that prediction markets might be creating opportunities for people with access to sensitive or classified information to profit from that knowledge. It’s one thing to make an educated guess based on publicly available news and analysis—it’s quite another to place bets when you know what’s about to happen because you’ve seen classified intelligence reports or have direct knowledge of government or corporate decision-making.
Getting Ahead of the Regulators
Legal experts believe that Polymarket and its competitors are racing to implement their own robust compliance systems before federal authorities impose requirements on them. Stephen Piepgrass, a partner at the law firm Troutman Pepper Locke who specializes in regulatory practice, told reporters that there had been significant concern about trading patterns that crossed international borders—users in one country betting on markets in another, creating jurisdictional headaches and enforcement challenges. By implementing rules that apply to all their operations worldwide, Polymarket is trying to create a unified approach that might satisfy regulators regardless of where the trading activity occurs.
“I think the concern is, if these market platforms don’t implement their own regimes, then someone’s going to do that for them,” Piepgrass explained. In other words, the industry recognizes that if they don’t police themselves effectively, Congress or regulatory agencies will step in with potentially much stricter rules. Self-regulation, when done credibly and transparently, gives these companies more control over their destiny than waiting for external mandates. The Commodity Futures Trading Commission (CFTC), which has regulatory authority over prediction markets, recently issued its own guidance about measures these platforms should take to prevent insider trading. The agency also launched a proposed rulemaking process and encouraged exchanges to work directly with CFTC staff when designing new betting markets to identify potential risks of manipulation or price distortion before those markets go live.
Industry-Wide Changes and New Enforcement Tools
Polymarket isn’t alone in recognizing the need for change. Kalshi, another major prediction market platform and one of Polymarket’s primary competitors, announced its own enhanced policies on the same day. Kalshi said it’s implementing new technological safeguards that will automatically prevent certain individuals—politicians, athletes, and others with direct influence over specific outcomes—from trading in markets where they have insider knowledge or control. This proactive approach uses technology to block problematic trades before they happen, rather than trying to detect and punish them after the fact.
Kalshi is also adding a whistleblower feature to its platform, allowing users to report suspected violations of trading rules directly to the company. This crowdsourced approach to compliance recognizes that no automated system is perfect and that engaged users can help identify suspicious patterns that might otherwise slip through the cracks. Polymarket, for its part, says it employs a “multi-layered monitoring system” and partners with surveillance and technology specialists to detect when users are violating the terms of use. When questionable activity is identified, the company has outlined several potential responses, ranging from internal disciplinary action to referring matters to law enforcement agencies for potential criminal investigation.
The Future of Prediction Markets
The rapid growth of prediction markets has been remarkable, drawing in users who find them more intuitive and engaging than traditional financial markets or simple polling. During the 2024 election cycle, platforms like Polymarket became go-to sources for many people trying to gauge the likelihood of various electoral outcomes, sometimes providing insights that seemed more accurate than traditional polls. But with that mainstream acceptance comes mainstream scrutiny. The concerns being raised aren’t merely theoretical—they go to the heart of whether these markets can function fairly and whether they might inadvertently create incentives for people with access to sensitive information to exploit that access for profit.
The steps being taken by Polymarket, Kalshi, and likely other platforms in the near future represent an important maturation of the industry. By establishing clear rules, investing in surveillance technology, and creating enforcement mechanisms, these companies are signaling that they take market integrity seriously. Whether these self-imposed standards will be sufficient to satisfy lawmakers and regulators remains to be seen. But one thing is clear: the Wild West days of prediction markets, where users could operate with relatively few restrictions and little oversight, are coming to an end. As these platforms continue to grow and influence how people think about future events, the pressure to ensure they operate fairly and transparently will only increase. The question isn’t whether prediction markets will face more regulation—it’s whether the industry’s current efforts at self-regulation will prove adequate or whether more forceful government intervention will become necessary.













