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Trader Overview
piggyery — the Polymarket trader who turned $513K deposits into a $63K portfolio over 605 trades, somehow managing a 55.9% win rate while sitting -10.71% ROI on Polymarket, the kind of contradiction that makes you check the math twice.
Rank 11348. Whale-tier volume ($7.1M total), low-risk positioning, but the PnL math reads like a masterclass in how variance eats edge. This isn't a flashy degen — it's someone systematically grinding prediction markets across 599 different markets, averaging 4.4 trades per day with surgical $3,371 position sizing. The kind of Polymarket whale you don't hear about because they're not posting 100x screenshots, just quietly collecting small edges in noise.
The edge hack: volume-based noise arbitrage. Piggyery scalps thin spreads in low-liquidity prediction markets, hitting both sides of the order book with mechanical discipline. 605 trades across sports, economics, and niche events means this isn't about predicting — it's about friction. The best single trade on Clippers vs. Warriors (2026-03-03) pulled $63,969. The worst bled -$55,549 on RCD Mallorca vs. Real Betis Balompié. A 10:1 buy-to-sell ratio signals one-way bets on cheap undervalued positions, not true arb.
What separates piggyery from 99% degens: pure volume discipline and absolute refusal to chase size. Trades per day stayed at 4.4 — no panic scalping, no weekend rips, no FOMO. The Polymarket win rate sits 55.9%, which is barely above 50-50 yet somehow this trader stayed operational for months. That's the unglamorous truth of prediction markets — you don't need to be right more than half the time if you size correctly and cut losers fast. Current portfolio sits $63K on $513K deposited. Not blowing up, not printing, just surviving.
Reality check: -10.71% ROI on Polymarket deposits means piggyery is underwater. Eight open positions remain live, but the data screams friction costs and slippage are eating the edge. This Polymarket trader mastered discipline over prediction — but discipline alone doesn't flip negative returns. Looks like a textbook case of solid infrastructure meeting an overlevered market.
0x3f5ea0a8053e81ce2f59814118869322c35fe7db
whaleRisk: medium