A Polymarket trader lost about $6.5 million after US and Israeli strikes on Iran triggered a sharp repricing in geopolitical prediction markets, according to blockchain tracking cited by market analysts.
The loss drew attention as it reversed a profitable strategy that had worked for weeks and exposed the risk of holding large event-driven positions into a military deadline.
The trader, identified publicly by the pseudonym anoin123, had built a position that bet against direct US and Israeli military action on Iran before key market deadlines. That approach had generated more than $2 million in profit over roughly two months, as earlier strike expectations did not materialize.
That pattern broke on February 28, when US and Israeli forces launched coordinated strikes in Iran. Once the strikes began, contracts tied to a “no strike” outcome lost value quickly, and the trader’s unrealized and realized gains reversed. Market trackers indicated the move as a one-day loss of about $6.5 million, leaving the account down more than $4.5 million net from its earlier peak.
While one large position collapsed, traders on the opposite side of the market recorded gains. Publicly shared blockchain analysis said a user known as Vivaldi007 made about $385,000 after buying contracts tied to a US strike on Iran, even after earlier date-based positions expired at a loss.
Analysts also flagged a newly funded wallet, Roeyha2026, which reportedly placed a $50,000 bet around 11 hours before the strikes and then showed a profit near $96,800. Bubblemaps and other market observers said several newly created wallets together generated about $1.2 million from strike-related contracts, which prompted debate about whether some traders acted on unusually timely information.
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The trading swing followed a major military escalation. Reporting on February 28 described a joint US-Israeli operation targeting multiple sites in Iran, which changed market probabilities across several Iran-related contracts within hours. That speed matters on prediction markets because contract pricing can move from high confidence to near zero after a single confirmed event.
The episode highlights how prediction market participants can earn steady gains from repeated outcomes, then lose them in one event window. In this case, the trader’s strategy aligned with prior weeks of missed strike expectations, but the final deadline produced a different result. As a result, the Polymarket loss now stands as a prominent example of concentrated geopolitical risk in crypto-based event markets.