Polymarket Smart Money Panorama: 26 Long-Term Trackable Addresses (Broken Down by Category)
- Core Viewpoint: Based on an in-depth review of Polymarket prediction market data, this article identifies 26 "smart money" trading addresses that demonstrate high win rates or unique profit models across different verticals (politics, weather, technology, culture, sports), and emphasizes that copy trading should focus on their areas of expertise.
- Key Elements:
- Screening Dimensions: The core criteria are PNL (verified profitability), profit structure (whether diversified), and number of trades (to identify trading style).
- Address Characteristics: These addresses excel in their respective categories. For example, wokerjoesleeper in politics achieves an 81% win rate by targeting low-probability markets, while ewelmealt in sports approaches a 100% win rate in medium-probability markets.
- Diverse Strategies: Profit models include focusing on low-probability events for high odds, high-frequency trading to accumulate small advantages, and heavy bets on high-certainty markets.
- Cross-Category Warning: Although most addresses participate in multiple categories, their core profits typically come from a single "home turf." Their performance in other categories may be poor, so copy trading should be selective.
- Risk Disclaimer: Addresses are for reference only and do not constitute investment advice. Prediction markets carry the risk of principal loss; independent judgment is required.
Original Author: Changan I Biteye Content Team
Biteye's previous article "Polymarket Smart Money Copy Trading Guide: From Screening Addresses to Practical Tips and Pitfalls, All Explained in One Article" discussed how to find smart money, how to screen, how to copy trade, and where the pitfalls lie. To judge whether an address is worth following, three main dimensions are considered:
- PNL: Verify they've actually made money
- Profit Structure: Whether profits are diversified or rely on a single big win
- Number of Trades: Distinguish between discretionary trading and arbitrage
The most common question in our inbox was essentially: "But can you just give us a few smart money addresses?"
To be honest, truly "smart money" addresses are extremely scarce.
These 26 addresses were handpicked by our editors through countless late-night reviews, based on their keen sense in five arenas: politics, weather, technology, culture, and sports.
They are no longer just addresses; they are more like a group of "hunters" with special intuition in different fields.
🏛 Politics & Geopolitics
1️⃣ Trader: wokerjoesleeper
🔗 Address: 0x63d43bbb87f85af03b8f2f9e2fad7b54334fa2f
📖 Profile: Ranked 73rd overall in Politics, 7th overall in Economy, 9th overall in Fed Rates, with total profits of $900k. 93% of positions bet NO, specializing in low-probability market layouts. Win rate in this range is 81%, with an ROI as high as +227%. Deeply involved in long-cycle macro events like Federal Reserve interest rate decisions and Iranian political situations.
2️⃣ Trader: Frank0951
🔗 Address: 0x40471b34671887546013ceb58740625c2efe7293
📖 Profile: Ranked 7th overall in Hormuz, with a 62.8% win rate and total profits of $290k. Spans both esports and geopolitical arenas. Main positions bet on crude oil prices and Middle East situations, while also deeply involved in esports markets like CS2 and LOL. Actively takes profits, doesn't hold positions indefinitely. Has stable profits in both arenas, one of the few addresses on the list capable of cross-arena operations.
3️⃣ Trader: cowcat
🔗 Address: 0x38e59b36aae31b164200d0cad7c3fe5e0ee795e7
📖 Profile: Ranked 184th overall in Geopolitics. Win rates in Iran and Middle East sub-markets both exceed 88%, with total profits nearing $200k. Focuses on Middle East geopolitics, heavily betting on low-probability events the market deems almost impossible. Achieved an actual win rate of 39% in markets with an implied probability of only 8%, with a Longshot ROI as high as +117%. A rare, focused heavy-position player in the political arena.
4️⃣ Trader: ScottyNooo
🔗 Address: 0xbacd00c9080a82ded56f504ee8810af732b0ab35
📖 Profile: Ranked 43rd overall in Politics, 6th overall in the Middle East sub-market. Total profits exceed $1.3 million, with $970k profit from Trump-related markets alone. Average bet size nearly $13k, win rate 58.8%. Heavily bets on large political and geopolitical markets. Entered in May 2025 and achieved seven-figure returns in less than a year.
5️⃣ Trader: How.Dare.You
🔗 Address: 0x4bbe10ba5b7f6df147c0dae17b46c44a6e562cf3
📖 Profile: Ranked 4th overall in Foreign Policy (Politics), 6th overall in Ukraine. Ranked 1st overall in the Trump-Zelenskyy sub-market with a 100% win rate. Total profits $277k. Focuses on high-certainty markets in Ukraine and foreign policy directions, heavily betting on high-probability outcomes. Average bet size over $12k, win rate 70.5%. One of the players with the strongest sense of direction in the political arena.
💰 Weather
1️⃣ Trader: HondaCivic
🔗 Address: 0x15ceffed7bf820cd2d90f90ea24ae9909f5cd5fa
📖 Profile: Ranked 12th overall in Weather, 3rd overall in Daily Temperature. Win rate 85.7%, total profits $48k. Focuses on temperature-related markets, with over 3,000 positions. Average bet size $1,478. Accumulates advantage by frequently covering temperature markets in multiple cities. Maintains a 100% win rate in the Hong Kong sub-market to date.
2️⃣ Trader: ikik111
🔗 Address: 0x57ee70867b4e387de9de34fd62bc685aa02a8112
📖 Profile: Total weather arena profits $50k, covering over 3,300 different markets. Average bet size only $37. Doesn't rely on high win rate; a 38% win rate paired with a 3.54 profit/loss ratio. Wins by buying a large number of dispersed positions in temperature markets at extremely low cost, using volume to succeed. A typical high-frequency, volume-spreading strategy in the weather arena.
3️⃣ Trader: Maskache2
🔗 Address: 0x1f66796b45581868376365aef54b51eb84184c8d
📖 Profile: Total weather arena profits $27k. Win rate only 30%, but profit/loss ratio reaches 3.74. Covers many small losses with a few big wins. Has unique insights into Seoul temperature markets. Single highest profit $8,221. Found pricing discrepancies in cities other traders pay less attention to. Entered in January 2026 and quickly achieved positive returns within three months.
4️⃣ Trader: JoeTheMeteorologist
🔗 Address: 0x1838cca016850ac7185a9b149fe7d0bd2d6629b4
📖 Profile: Formerly a weather forecaster, now trades weather markets on Polymarket. Weather arena profits $29k. Single highest profit in Seoul temperature market $7,056. Average bet size $42. Accumulates profits by frequently covering over 2,100 different markets. Total profits $77k. Also participates in sports and esports besides weather. A rare cross-arena balanced player in the weather arena.
5️⃣ Trader: BeefSlayer
🔗 Address: 0x331bf91c132af9d921e1908ca0979363fc47193f
📖 Profile: Total weather arena profits $49k, accounting for 99% of overall returns. Win rate 67%. Covers temperature markets in multiple US cities like NYC, Seattle, Chicago, Dallas. Average bet size $198. Entered less than half a year ago, curve consistently upward. One of the most focused players in the weather arena.
6️⃣ Trader: Varyage
🔗 Address: 0xd75d96a23515172778d3281f53c9180b985100c8
📖 Profile: Ranked 47th overall in Weather, 68th overall in NYC sub-market. Win rate 78%, total profits $20k, account age over two years. Trades only 2 positions per day, average bet size $238. Focuses on temperature markets in cities like NYC. Slow pace, broad coverage. A rare low-frequency, steady player in the weather arena.
📱 Technology
1️⃣ Trader: George.Smiley
🔗 Address: 0x2110ba2a1e18840109482ff4ddc547baeff45850
📖 Profile: Ranked 14th overall in AI, 14th overall in Google markets. Win rate 76.1%, total profits $28k. Deeply involved in AI product release cycles. Heavily bets on timelines for specific products like Gemini, OpenAI. Focuses on high-certainty markets, avoids low-probability markets entirely.
2️⃣ Trader: Optimus.
🔗 Address: 0xd5b97d08ec6098407bfbf66c2786ccc9967fe44e
📖 Profile: Ranked 114th overall in Technology, 62nd overall in Elon Musk markets. Has bet on 1,471 markets, 2,500 trades, total profits $73k. Positions are small and dispersed, average bet size $780. YES and NO bets are roughly half each, betting on judgment rather than direction. Spans politics, technology, geopolitics, with win rates above 60% in each arena. A rare all-around balanced player.
3️⃣ Trader: BobInvestments
🔗 Address: 0x41816fc1ebdfeb33f6356f2655ab499253b3de86
📖 Profile: Ranked 35th overall in Big Tech. Win rate 75%, total profits $24k. Specializes in buying cheap shares in low-probability markets, average entry price only 0.16. Bets on options the market deems almost impossible. Win rate 52% far exceeds market implied probability. Extremely small positions, very high frequency. Accumulates positive expected value through large volumes of low-cost buys.
4️⃣ Trader: DerDon
🔗 Address: 0xf797d4d1c038d1eb0593edae0e66bf8e4b2e0bf
📖 Profile: Ranked 68th overall in Big Tech, 179th overall in Technology. Has bet on 2,864 markets. Win rate 62.5%, total profits $38k. A 75% win rate in the technology arena is his most stable home turf. Positions are small and dispersed, average bet size $372. Trades consistently throughout the year. Major geopolitical events are the main source of losses. When copying, focus on his tech positions.
5️⃣ Trader: Mujurry
🔗 Address: 0x5ecde7348ea5100af4360dd7a6e0a3fb1d420787
📖 Profile: Ranked 20th overall in Technology, 28th overall in AI, 10th overall in Google. Win rate 75.8%. Win rates in tech-related arenas stable above 80%. Total profits $170k. Over 200 trades per day, extremely high frequency. Also actively takes profits, doesn't hold positions indefinitely.
🎭 Culture
1️⃣ Trader: Big.Chungus
🔗 Address: 0x06dcaa14f57d8a0573f5dc5940565e6de667af59
📖 Profile: Ranked 18th overall in Culture, 3rd overall in Movie Box Office. Has bet on 1,500 markets, 2,500 trades. Win rate 73.7%. Primarily bets on high-probability markets, average entry price 0.82. Amplifies win rate advantage through compound interest from large, dispersed layouts. Buying frequency is nearly double selling frequency. Typical style of continuous adding and letting profits run.
2️⃣ Trader: TheRedChip
🔗 Address: 0xdf6da574f8b0c0ce5e01ddb1c5a49b87993e9c5c
📖 Profile: Ranked 23rd overall in Tweet Markets, 22nd overall in Elon Musk-related markets. Has bet on 1,600 markets. Win rate only 45%, but with a risk-reward ratio of 2.91, achieved total profits of $100k. Specializes in heavily betting YES in low-probability markets (win rate below 15%). Covers many small losses with a few high-odds wins. Typical contrarian, high-odds betting style.
3️⃣ Trader: GUHHH
🔗 Address: 0x033dc6e3e3e0a3ae55402576990392ae910aaf05
📖 Profile: Ranked 20th overall in Movie Box Office. Has bet on 1,200 markets. Win rate 77.9%, total profits $68k. Strategy opposite to most: 69% of positions bet NO, specifically shorting overpriced market options. Focuses on high-certainty markets with win rates above 70%. Accumulates slowly through stable positive expected value, avoids low-probability niche bets.
4️⃣ Trader: BeN
🔗 Address: 0x668d85d791049bf0100e557a72c7ed4dc97297d2
📖 Profile: Ranked 13th overall in Music, 141st overall in Culture. Win rate 67.3%, total profits $40k. Focuses on high-probability markets. Large positions concentrated in markets with win rates above 90% to harvest the final segment of profits. Maximum drawdown only $4,446. One of the addresses with the most stable risk control.
5️⃣ Trader: pol76
🔗 Address: 0x36e7e560c4d4cf32926906d939a18cf91f8a0b6b
📖 Profile: Ranked 43rd overall in Tweet Markets. Win rate 72.9%, total profits $44k. 83% of positions bet NO. Focuses on high-probability markets, achieving a win rate as high as 96% in this range, the stable main source of profits. Spans politics, culture, technology, with win rates above 65% in each arena.
⚽ Sports
1️⃣ Trader: CKW
🔗 Address: 0x92672c80d36dcd08172aa1e51dface0f20b70f9a
📖 Profile: Ranked 66th overall in Sports, 19th overall in UFC, 26th overall in MLB. Total trading volume over $74 million. Skilled at identifying overpriced market options, betting NO in low-probability markets. Average bet size nearly $16k. Long holding periods, rarely sells mid-way.
2️⃣ Trader: ewelmealt
🔗 Address: 0x07921379f7b31ef93da634b688b2fe36897db778
📖 Profile: Ranked 20th overall in Soccer, 12th overall in La Liga. Entered only in February 2026, profited $860k from 67 markets in 19 days. Average bet size nearly $44k. Never sells mid-way, holds all positions until settlement. Specializes in betting on medium-probability markets (30-70% range) with a win rate close to 100%. A typical heavy-position, slow-play, extremely confident player.
3️⃣ Trader: EFFICIENCYEXPERT
🔗 Address: 0x8c0b024c17831a0dde038547b7e791ae6a0d7aa5
📖 Profile: Ranked 15th overall in Esports, 14th overall in LOL. Has bet on 2,700 markets, trading volume $30 million. Accumulated a small advantage into $580k net profit by covering a large number of markets. Recent win rate has declined; observe recent performance before copying.
4️⃣ Trader: synnet
🔗 Address: 0x8e0b7ae246205b1ddf79172148a58a3204139e5c
📖 Profile: Ranked 17th overall in Tennis, 1st overall in ATP. Average entry price only 0.30. Win rate 31.7% but net profit $290k. Focuses on underdog bets in tennis; one win can cover multiple losses. Performance drops significantly outside tennis.
5️⃣ Trader: middleoftheocean
🔗 Address: 0x6c743aafd813475986dcd930f380a1f50901bd4e
📖 Profile: Ranked 99th overall in Sports. Soccer arena win rate 83.1%. Has bet
