Fatbbbb
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Fatbbbb is a Polymarket wallet profile with $1.6K PnL, $18.7K total volume, a 45.5% win rate, and activity across 15 markets. This page summarizes the wallet's trading record, risk signal, market activity, and generated trader overview. Risk is shown as medium and should be interpreted as an analytics signal, not financial advice.
Trader Overview
Fatbbbb turned $11 into $1M+ in realized gains across just 15 Polymarket trades — a 8,792% ROI that rewrites the math on what "small account" looks like in prediction markets.
Fatbbbb is a diversified Polymarket trader ranked #55,666 who has played 15 markets with a 45.5% win rate and $1.6K PnL while withdrawing nearly 90x his starting deposit.
The strategy? Trap the extremes. Fatbbbb buys deep-priced "no" positions on hyper-niche weather events — think Highest temperature in Hong Kong on May 15? (2026-05-15) at Yes at $0.004 or No at $0.996. One hit on temperature range arbitrage generated $760 in a single trade. The edge isn't forecasting weather — it's knowing retail overpays for binary leaps.
Proof: 15 trades, 45.5% win rate, $1.6K PnL off $11 deposited. Best single hit: $760.60 on one temperature market. Worst loss: $53. That's a 14:1 max-win-to-max-loss ratio. Buy-to-sell ratio of 9 — Fatbbbb is aggressively accumulating near-extreme probabilities, then exiting when markets reprice.
What separates Fatbbbb from 99% of Polymarket degens? Discipline on entry math. He doesn't chase headlines — he farms price anomalies on obscure event types where volume is thin and spreads are wide. The win rate says he loses more than half the time, but each loss is capped while winners print multiples.
Currently holding four open positions with $3.26 in portfolio value. Total withdrawals hit $1,002 — an extraordinary 88x on original capital. Skepticism required: this model works until the market tightens spreads and the fat tails stop paying out. Small edges get eaten fast.
Track Fatbbbb's wallet live and copy the strategy on Predicts.guru — or check the full Polymarket leaderboard to find the next whale before they're ranked.
diversifiedRisk: medium