Blockchain sleuths at Bubblemaps say they’ve uncovered a network of Polymarket accounts that together turned sizable profits by correctly betting on military strikes involving Iran — raising fresh questions about whether some traders had advance knowledge of geopolitical events.
What Bubblemaps found
- In a thread on X, the blockchain analytics firm traced fund flows between multiple Polymarket wallets that placed unusually accurate “yes” bets on U.S. and Israeli strikes.
- One wallet, 0xa4eb, using the Polymarket handle “nothingeverhappens911,” reportedly moved winnings off the platform. Tracing those transfers led Bubblemaps to a second Polymarket account, “Skoobidoobnj,” via a shared Binance deposit address.
- “Skoobidoobnj” is alleged to have made roughly $100,000 betting “yes” shortly before two separate military developments involving Iran in 2025. Bubblemaps says that account is on-chain linked to at least two more accounts that placed trades in similarly tight time windows.
- Altogether, Bubblemaps attributes about $240,000 in profits to four connected Polymarket accounts tied to bets on U.S. and Israeli military action involving Iran.
How this fits with earlier reporting
- The findings echo prior reporting that six recently funded wallets collectively earned approximately $1.2 million by betting the U.S. would strike Iran on February 28 — many of those positions were opened only hours before the event and wallets were funded within 24 hours of the strike.
- The clustering and timing of these trades have drawn scrutiny from analysts and policymakers, who say the activity could indicate trading on nonpublic or privileged information.
Why this matters
- Crypto-based prediction markets like Polymarket allow users to trade on real-world events, potentially aggregating dispersed information quickly. But they also create incentives for actors to trade on sensitive or inside information — especially when large sums and fast, last-minute positions are involved.
- The Bubblemaps analysis illustrates how on-chain transparency can both reveal suspicious patterns and stimulate debate about market integrity in decentralized prediction ecosystems.
Source and disclaimer
- Bubblemaps published the analysis on X. These developments build on earlier reports initially covered by AMBCrypto.
- AMBCrypto content is informational and not investment advice. Trading cryptocurrencies is high-risk; readers should do their own research before making decisions.
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