US and Israeli strikes on Iran over the weekend sent shockwaves through prediction markets, exposing sharp operational contrasts as hundreds of millions of dollarsUS and Israeli strikes on Iran over the weekend sent shockwaves through prediction markets, exposing sharp operational contrasts as hundreds of millions of dollars

US Military Action Against Iran Exposes Split Between Polymarket and Kalshi Models

2026/03/02 18:37
4 min read
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US and Israeli strikes on Iran over the weekend sent shockwaves through prediction markets, exposing sharp operational contrasts as hundreds of millions of dollars were wagered under pressure.

How Polymarket Handled the Iran Shock

Polymarket alone saw $500 million traded on US military action contracts. When strikes were confirmed, blockchain analysts immediately reviewed betting patterns for unusual activity.

Bubblemaps identified six new accounts that made about $1 million by betting on a US strike on Iran by Feb. 28. Some shares were bought hours before explosions in Tehran. These accounts had no trading history outside strike-related markets.

Such patterns can arouse suspicion in crypto markets, though they do not prove insider trading. Military action was discussed for weeks, and alternative dates like Feb. 27 saw high volume.

One highlighted account had lost smaller bets on earlier strike scenarios. Still, the episode reopened debate over whether decentralized prediction markets can distinguish between conviction and privileged knowledge.

“In cases involving war or conflict, information can circulate within a wider circle before becoming public,” said Nicolas Vaiman, CEO of Bubblemaps. “When trading requires only a wallet, anonymity lowers the barrier for informed participants to act early.”

As geopolitical contracts surged in volume, some traders shifted their focus from directional bets to liquidity incentives. On social media, users discussed providing liquidity on Iran-related markets to earn platform rewards rather than speculate on outcomes.

How Kalshi Applied Its Rulebook

The same geopolitical shock produced a very different response at Kalshi, the CFTC-regulated US platform. Kalshi had listed contracts tied to whether Iran’s Supreme Leader Ali Khamenei would be “out” by a certain date.

When news of his death was confirmed, some traders expected immediate payouts. Instead, the exchange halted trading and later resolved contracts based on the last traded price before the event. Kalshi said the settlement followed its published rules.

In a public statement, CEO Tarek Mansour said the “death carveout”, which prevents markets from settling to “yes” in the event of death, had been part of the contract terms from the outset and disclosed both in CFTC filings and on the market page.

He acknowledged frustration from some traders but said altering settlement after the fact would undermine confidence in the platform. “Traders expect us to settle the market based on the rules,” Mansour wrote, adding that changing outcomes retroactively would break trust.

Kalshi said it reimbursed all trading fees and covered net losses so that no trader ended the market net-negative. The company added that it does not profit from settlement outcomes and that the reimbursements resulted in a loss for the firm.

US commodity law prohibits contracts that enable direct profit from death or assassination. Kalshi said its rules were designed to comply with those limits and that it would improve how such carveouts are displayed in future markets.

Reactions online were divided. Some traders criticized the outcome, while others argued that the rules had been publicly available and consistently applied.

How Regulation Shapes the Industry

The contrast between Polymarket and Kalshi illustrates how regulatory and operational models determine market response under stress.

Polymarket is a crypto-native information market that handles contract design and resolution through decentralized mechanisms and token governance. Its markets include contracts on regime change and sensitive events.

Kalshi, by contrast, operates under US futures law and must comply with CFTC oversight, limiting the contracts it can list and shaping how it resolves disputes.

Both models carry trade-offs. Offshore platforms can list a wider range of contracts, providing increased flexibility, but they face scrutiny for possible misuse of sensitive information.

  • Inside the Prediction Markets: Building the Broker Stack
  • CFTC Flags Insider Risks in Prediction Markets as Kalshi Sanctions Two Traders
  • Trade the Event, Protect the Position

Regulated platforms, in contrast, operate within clear legal limits but must usually prioritize compliance, sometimes at the expense of trader expectations. Iran-related markets drew Washington’s attention.

Several US senators have urged regulators to review contracts that create financial incentives for violence or instability. For brokers and institutions watching the sector, the weekend highlighted a central tension.

Trading Continues

As of Monday morning, Polymarket continued to list dozens of Iran-related contracts, including markets tied to regional military escalation and potential political outcomes. Most showed limited volume, though several had attracted tens of millions of dollars in aggregate trading.

Iran related bets on Polymarket

Prediction markets aggregate information quickly during fast events, but contracts on war, regime change, or death intensify legal limits and scrutiny. As more financial firms explore event-based contracts, the tension between broad market design and regulatory limits grows more pronounced.

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