Blockchain analytics firm Bubblemaps says it has identified a network of connected wallets that allegedly profited from accurately predicting military strikes involving Iran on the crypto prediction platform Polymarket. The findings have raised questions about whether some traders may have had advance knowledge of geopolitical developments.
In a detailed thread published on X, the analytics firm explained that it traced transactions between several Polymarket accounts that placed highly precise bets on U.S. and Israeli military actions. According to the analysis, a wallet identified as 0xa4eb, operating under the username “nothingeverhappens911,” recently transferred profits off the platform. Tracking those funds led investigators to another Polymarket account known as “Skoobidoobnj,” with the link established through a shared deposit address on Binance.
Further blockchain tracing indicated that the account “Skoobidoobnj” is also connected to two additional Polymarket accounts that appear to have placed similarly timed trades. According to Bubblemaps, one of those accounts earned approximately $65,000 by betting on a U.S. strike on February 28, while another generated about $10,000 by predicting the Israeli operation on June 13. In total, the firm estimates that four linked Polymarket accounts collectively produced about $240,000 in profits by correctly anticipating military developments involving Iran.
The latest analysis follows earlier reports that six recently funded wallets earned roughly $1.2 million by betting that the United States would strike Iran on February 28. Many of those wallets were reportedly funded less than 24 hours before the event and placed bets specifically tied to that date, prompting scrutiny from analysts and policymakers who questioned whether the trades were based on privileged information.
Source: Analysis published by Bubblemaps on X
Disclaimer: This content is for informational purposes only and does not constitute financial advice or an investment recommendation. Digital assets and prediction markets involve significant risk and regulatory uncertainty.
