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Recently, I developed a tool in C++ specifically to identify wallets exhibiting abnormal behavior on Polymarket. The results are quite good. The first account flagged (tag 88888) earned $152,000 this week, with a trading win rate of 99%. There are over 11,000 transaction records, and the scanner only took a few minutes to identify it.
The entire project took about three weeks to refine. It mainly monitors various behavioral features of these expert wallets—entry strategies, single trade sizes, operation time intervals, and so on. By combining these parameters, it can accurately identify those consistently profitable addresses. There are actually quite a few well-performing traders hidden on the Polymarket prediction platform, and their operational logic is quite worth paying attention to.