How PolymarketScan Maps Smart Money Flows in Prediction Markets

A PANews-translated article from blocmates argues that prediction markets and meme coin trading rely on different assets but often reward the same type of participant: traders who can filter noise, spot meaningful activity early, and build a repeatable research process. The piece uses PolymarketScan as a case study and explains how traders can narrow a large universe of contracts by screening for volume, liquidity, smart-money activity, probability moves, deadlines, time to resolution, and recent activity. It also outlines why price changes should be studied through whale flows and trader profiles rather than through trade size alone. The article goes on to describe how watchlists, Whale Radar tools, leaderboards, and historical analysis of resolved markets can help identify wallets worth monitoring. It says more than 290 public watchlists are already available, though users are still encouraged to build lists tied to specific market categories. The piece also includes a statement from the PolymarketScan team about its AI tool, which can answer natural-language questions using Polymarket data, show the source behind each figure, and offer 30 free queries without registration. The team adds that PolymarketScan is an independent analytics platform supported by Polymarket, may receive referral fees through the developer program, and that its content is not investment advice.