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Suspicious trading signals appear in the prediction market. The on-chain data tracking platform LookOnChain recently disclosed a compelling case: three Polymarket wallets placed accurate bets on the resignation of a certain politician hours before their arrest, ultimately earning $630,000 in profit. More notably, the activity of these wallets is highly focused—they almost exclusively engaged in transactions related to that politician, indicating an unusually high concentration. Such trading patterns raise questions: is there information asymmetry involved? As prediction markets become an increasingly popular application within the crypto ecosystem, issues of transparency and fairness are once again brought to the forefront. Similar insider trading risks remind us that even on decentralized platforms, market regulation and risk prevention must be continuously strengthened. The transparency of on-chain data makes such abnormal behaviors impossible to hide and serves as a warning to the entire ecosystem.