Polymarket set a new single-day volume record of USD 425 million. The surge did not come from an election or a central bank decision. It was driven almost entirely by Iran-related markets resolving simultaneously, including a contract on whether Ayatollah Ali Khamenei would remain supreme leader. Volume in one “Khamenei out” market jumped from USD 23,000 to USD 29.6 million in a day. The YES token rose 1,275 times. The NO token grew 10.5 times. Traders were not just wagering on an outcome. They were trying to price the tempo of regime instability in real time.
Liquidity has transformed wagers into a continuous mechanism for pricing uncertainty
That shift matters because prediction markets no longer sit at the edge of online gambling culture. Combined monthly global trading volume on major platforms rose from less than $5bn in September 2025 to about $24bn in April 2026. The instruments themselves are mechanically simple. Users buy and sell event contracts with binary outcomes valued between $0 and $1. The contract price is meant to represent the likelihood of the outcome happening. Winning contracts settle at $1 once the market resolves. But the simplicity is deceptive. Markets that once treated elections as novelty trades now absorb geopolitical shocks, criminal investigations and political rumor with the reflexes of liquid financial exchanges.
That liquidity is the product being sold. Prediction markets “need liquidity, and liquidity means trade is happening around the clock”, as Franky Ramirez put it while rejecting comparisons to casinos. Constant trading creates something more valuable than wagers: continuous price discovery untethered from traditional disclosure rules. The business model depends on persuading traders that every scrap of information — political gossip, legal jeopardy, an airport delay — can be converted into a tradable edge before someone else sees it.
The George Santos episode exposed how thin the membrane between information and manipulation has become. The former New York congressman is under scrutiny for his trading on prediction markets, according to two sources familiar with the matter. Santos had repeatedly discussed attending the State of the Union, an appearance that carried obvious market value because Kalshi had put the odds of him attending at close to 75%. Minutes into the speech, Santos posted that he had been waylaid at the airport. Social media users immediately accused him of exploiting the market he had helped move. One user joked about Santos telling his accountant to bet “all his money on No”. Santos later responded on his podcast: “I guess people lost money”. “Some people made unexpected money”. Then came the harder line: “That’s to show you how fragile these markets are.”
Regulators are discovering that market structure matters more than gambling law
Fragility is no longer a theoretical concern for regulators. Prediction markets including Kalshi and Polymarket have drawn scrutiny as their businesses expanded. Lawmakers have urged the platforms to do more to guard against insider trading. Both companies say they report suspicious trades to federal regulators, and some investigations have already led to criminal charges. In April, the Senate approved a bipartisan resolution to prevent its own members from using prediction markets. The concern is not merely corruption inside a single market. It is correlation across many of them.
The growing range of prediction market and crypto asset instruments presents greater opportunities for market abuse and insider dealing. Matthew Oswald of ACA Group described the mechanics plainly: “People will find a correlation between markets”. A trader no longer needs to manipulate the contract directly. Exposure can be shifted through adjacent assets where surveillance is weaker or intent harder to prove. The more contracts platforms list, the more pathways emerge between political events, crypto positions and speculative bets that were never designed to interact. Liquidity becomes recursive. Every new market deepens the pricing power of the next one.
Regulators are responding as though this is still a compliance problem. CFTC chair Michael Selig told the House Committee on Agriculture that anyone engaging in fraud, manipulation or insider trading would “face the full force of the law”. “Nothing is more important than protecting market integrity,” Selig said while promising stronger enforcement and upgraded surveillance tools. But surveillance works best when markets reflect observable fundamentals. Prediction markets increasingly trade on ambiguity itself — on private conversations, legal timing, rumors of clemency, political access and state instability. The tradable asset is often not the event but proximity to uncertainty before it becomes public.
Minnesota’s intervention reframed prediction markets as financial infrastructure rather than entertainment
Minnesota’s legislature appears to have understood the structural issue more clearly than Washington. Gov. Tim Walz signed the first state law explicitly barring prediction markets. The law would make it illegal to host or advertise a prediction market site in Minnesota, with potential felony charges carrying up to five years in prison and a $10,000 fine. The Trump administration sued the state a day later to block the law from taking effect. The administration’s lawsuit arrived immediately after the law was signed. What looked like a dispute over gambling regulation was really a fight over whether these platforms should be treated as financial infrastructure at all.
That distinction matters because the industry’s apparent strength rests on an assumption that the facts increasingly contradict: that prediction markets are merely neutral venues aggregating public opinion. Their explosive growth has depended on the opposite proposition. The most valuable trades emerge when someone knows more, moves faster or understands a hidden correlation before the crowd does. Volumes have quintupled in seven months not because uncertainty has disappeared, but because uncertainty itself has become a monetizable asset class. The pressure now sits with the platforms that insist they are information markets while relying on the constant arrival of asymmetrical information to sustain liquidity. Santos, a convicted fraudster turned political betting protagonist, did not expose an aberration in the system. He showed the business model functioning exactly as designed.
