Author: Changan I Biteye Content Team
Biteye's previous article, " Polymarket Smart Money Copy Trading Guide: From Address Screening to Avoiding Pitfalls," discussed how to find smart money, how to screen it, how to copy trades, and where the pitfalls lie. Determining whether an address is worth copying mainly involves three dimensions:
PNL: Verifying that money was indeed made
Profit structure: Is it diversified or reliant on a single source of revenue?
Number of trades: distinguishing between discretionary trading and arbitrage.
The most frequent private message I received was actually just one: "But could you just give me a few smart money addresses?"
To be honest, real "smart money" addresses are extremely scarce.
These 26 addresses were carefully selected by the editor during countless late-night reviews, based on their keen insight into five areas: 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, and 9th overall in Fed Rates, with a total profit of $900,000. 93% of the position is held on a no-bet strategy, focusing on low-probability market positioning, achieving an 81% win rate and a high ROI of +227% in this range. Specializes in long-term macroeconomic events such as Fed interest rate decisions and the Iranian political situation.
2️⃣ Trader: Frank0951
Address: 0x40471b34671887546013ceb58740625c2efe7293
📖Introduction: Hormuz is ranked 7th overall with a 62.8% win rate and total profits of $290,000. It operates across two sectors: esports and geopolitics, with its main positions betting on oil prices and the Middle East situation, while also deeply involved in the esports markets of CS2 and LOL. It proactively takes profits and avoids holding positions indefinitely. It maintains stable profits in both sectors, making it one of the few addresses on the list capable of cross-sector operations.
3️⃣ Trader: cowcat
Address: 0x38e59b36aae31b164200d0cad7c3fe5e0ee795e7
📖 Profile: Ranked 184th overall in geopolitics, with a win rate exceeding 88% in both the Iran and Middle East sub-sectors, total profits approaching $200,000. Focusing on Middle Eastern geopolitics, heavily betting on low-probability events considered almost impossible by the market, achieving a 39% actual win rate in a market with only 8% implied probability, and a longshot ROI as high as +117%, making him a rare focused and heavily invested player in the political sector.
4️⃣ Trader: ScottyNooo
Address: 0xbacd00c9080a82ded56f504ee8810af732b0ab35
📖Brief Introduction: Ranked 43rd overall in the political sector and 6th overall in the Middle East sub-sector, with total profits exceeding $1.3 million, including $970,000 in profits from Trump-related markets alone. Average investment per trade is nearly $13,000, with a win rate of 58.8%. Heavily invested in large-scale political and geopolitical markets, entered the market 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 the Foreign Policy category and 6th overall in the Ukraine category, and 1st overall in the Trump-Zelenskyy sub-category with a 100% win rate, total profit $277,000. Focuses on high-certainty markets related to Ukraine and foreign policy, heavily betting on high-probability outcomes, averaging over $12,000 per trade, with a 70.5% win rate, making him one of the most directional traders in the political category.
💰 Weather
1️⃣ Trader: HondaCivic
🔗Address: 0x15ceffed7bf820cd2d90f90ea24ae9909f5cd5fa
📖Introduction: Ranked 12th overall in the Weather category and 3rd overall in the Daily Temperature category, with a win rate of 85.7% and total profits of $48,000. Focusing on the temperature market, with over 3,000 positions and an average trade size of $1,478, the company has accumulated an advantage by covering the temperature market in multiple cities through high-frequency trading. The Hong Kong sub-category has maintained a 100% win rate to date.
2️⃣ Trader: ikik111
Address: 0x57ee70867b4e387de9de34fd62bc685aa02a8112
📖Introduction: Total profit in the weather sector is $50,000, covering more than 3,300 different markets, with an average trade size of only $37. It doesn't rely on a high win rate; a 38% win rate coupled with a 3.54 profit/loss ratio, achieved by buying a large number of diversified positions in the temperature market at extremely low cost, winning through volume – a typical high-frequency, high-volume strategy in the weather sector.
3️⃣ Trader: Maskache2
Address: 0x1f66796b45581868376365aef54b51eb84184c8d
📖Introduction: Total profit in the weather trading track is $27,000, with a win rate of only 30%, but a profit/loss ratio of 3.74, relying on a few big wins to cover a large number of small losses. Has unique insights into the Seoul temperature market, with a single highest profit of $8,221. Found pricing discrepancies in cities that other traders don't pay much attention to, entered the market in January 2026, and quickly achieved positive returns within three months.
4️⃣ Trader: JoeTheMeteorologist
Address: 0x1838cca016850ac7185a9b149fe7d0bd2d6629b4
📖Profile: Formerly a weather forecaster, now trading weather markets on Polymarket, earning $29,000 in the weather sector. His highest single profit in the Seoul temperature market was $7,056, with an average profit of $42 per trade. He has accumulated profits of $77,000 through high-frequency trading covering over 2,100 different markets. Besides weather, he also participates in sports and esports, making him a rare, well-rounded player in the weather sector.
5️⃣ Trader: BeefSlayer
Address: 0x331bf91c132af9d921e1908ca0979363fc47193f
📖Introduction: Total profit in the weather track is $49,000, accounting for 99% of the overall revenue, with a win rate of 67%. It covers the temperature market in multiple US cities such as NYC, Seattle, Chicago, and Dallas. The average single transaction is $198. Having entered the market for less than half a year, the growth curve has been consistently upward, making it one of the most focused players in the weather track.
6️⃣ Trader: Varyage
Address: 0xd75d96a23515172778d3281f53c9180b985100c8
📖 Profile: Ranked 47th overall in the Weather sector and 68th overall in the NYC sub-sector, with a win rate of 78% and total profits of $20,000. Account age is over two years. Only two trades per day, averaging $238 per trade. Focuses on the temperature market in cities like NYC. Slow-paced and broad-coverage, this is a rare low-frequency, stable performer in the Weather sector.
📱 Technology
1️⃣ Trader: George.Smiley
Address: 0x2110ba2a1e18840109482ff4ddc547baeff45850
📖Introduction: Ranked 14th overall in the AI sector and 14th overall in the Google Play Store, with a win rate of 76.1% and total profits of $28,000. Focuses on the release timeline of AI products, heavily investing in the timelines of specific products such as Gemini and OpenAI, primarily targeting high-certainty markets, and avoiding low-probability markets altogether.
2️⃣ Trader: Optimus.
Address: 0xd5b97d08ec6098407bfbf66c2786ccc9967fe44e
📖 Profile: Ranked 114th overall in the tech sector and 62nd overall in the Elon Musk market. Has bet on 1471 markets, made 2500 trades, and achieved a total profit of $73,000. Positions are small and diversified, averaging $780 per trade, with half being YES and half NO. Only bets on predictions, not directions. Spanning multiple sectors including politics, technology, and geopolitics, with a win rate exceeding 60% in each sector, making him a rare all-around balanced trader.
3️⃣ Trader: BobInvestments
Address: 0x41816fc1ebdfeb33f6356f2655ab499253b3de86
📖Introduction: Ranked 35th overall in Big Tech, with a 75% win rate and total profit of $24,000. Specializes in buying cheap shares in low-probability markets, with an average entry price of only $0.16. Bets on options that the market considers almost impossible, achieving a 52% win rate, far exceeding the market's implied probability. Uses extremely small positions and very high frequency, accumulating positive expected value through large-scale low-price purchases.
4️⃣ Trader: DerDon
Address: 0xf797d4d1c038d1eb0593edae0e66bf8e4b2e0bf
📖 Profile: Ranked 68th overall in Big Tech and 179th overall in the Technology sector, he has bet on 2864 markets with a 62.5% win rate and total profits of $38,000. His most stable sector is Technology, where he boasts a 75% win rate. He uses small, diversified positions, averaging $372 per trade, and has traded continuously throughout the year. Major geopolitical events are his primary source of losses. Follow his trades by focusing on his Technology positions.
5️⃣ Trader: Mujurry
Address: 0x5ecde7348ea5100af4360dd7a6e0a3fb1d420787
📖 Profile: Ranked 20th overall in the Technology sector, 28th overall in the AI sector, and 10th overall in the Google sector, with a win rate of 75.8%. The win rate in technology-related sectors is consistently above 80%, with total profits of $170,000. Over 200 trades per day, extremely high frequency, with proactive profit-taking to avoid holding positions indefinitely.
🎭 Culture
1️⃣ Trader: Big.Chungus
Address: 0x06dcaa14f57d8a0573f5dc5940565e6de667af59
📖Introduction: Ranked 18th in the overall cultural sector and 3rd in the overall film box office, with a 73.7% win rate across 1500 markets and 2500 trades. Primarily betting on high-probability markets, with an average entry price of 0.82. Amplifying the win rate advantage through extensive diversification, with a buying frequency nearly twice that of selling, a typical style of continuously adding to positions and letting profits run.
2️⃣ Trader: TheRedChip
🔗Address: 0xdf6da574f8b0c0ce5e01ddb1c5a49b87993e9c5c
📖Introduction: Ranked 23rd overall on Tweet Markets and 22nd overall on Elon Musk-related markets, he has bet on over 1600 markets with a win rate of only 45%, but achieved a total profit of $100,000 with a risk-reward ratio of 2.91. He specializes in heavily betting on YES in low-probability markets (win rate below 15%), using a few high-odds wins to cover a large number of small losses, a typical contrarian betting style.
3️⃣ Trader: GUHHH
Address: 0x033dc6e3e3e0a3ae55402576990392ae910aaf05
📖Brief Introduction: Ranked 20th in the overall box office, with a 77.9% win rate across 1200 markets and a total profit of $68,000. The strategy is contrary to most people's: 69% of the position is placed on "NO" (no), focusing on shorting overvalued options and targeting high-certainty markets with a win rate of over 70%. The strategy relies on a stable positive expected value to accumulate wealth gradually, avoiding low-probability, unpopular options.
4️⃣ Trader: BeN
Address: 0x668d85d791049bf0100e557a72c7ed4dc97297d2
📖Introduction: Ranked 13th overall in the Music track and 141st overall in the Culture track, with a win rate of 67.3% and total profits of $40,000. Primarily targets high-probability markets, concentrating large positions in markets with a win rate above 90% to reap the final profits. Maximum drawdown was only $4,446, making it one of the most risk-controlled addresses among all accounts.
5️⃣ Trader: pol76
Address: 0x36e7e560c4d4cf32926906d939a18cf91f8a0b6b
📖Introduction: Ranked 43rd overall on Tweet Markets, with a win rate of 72.9% and total profits of $44,000. 83% of the position is on "NO," focusing on high-probability markets, where the win rate is as high as 96%, which is the main source of stable profits. Spanning multiple sectors including politics, culture, and technology, with a win rate of over 65% in each sector.
⚽ Sports
1️⃣ Trader: CKW
Address: 0x92672c80d36dcd08172aa1e51dface0f20b70f9a
📖 Profile: Ranked 66th overall in the sports sector, 19th in UFC, and 26th in MLB, with a total trading volume exceeding $74 million. Skilled at identifying overvalued options in the market, placing a "no" bet in low-probability markets, averaging nearly $16,000 per trade, with long holding periods and very few mid-trade sell-offs.
2️⃣ Trader: ewelmealt
Address: 0x07921379f7b31ef93da634b688b2fe36897db778
📖Profile: Ranked 20th on the Soccer leaderboard and 12th on the La Liga leaderboard, entered the market in February 2026, and profited $860,000 across 67 markets in 19 days. His average bet is nearly $44,000 per trade. He never sells his bets prematurely, holding all his bets until settlement. He specializes in medium-probability markets (30-70% chance) with a near 100% win rate. He is a typical high-risk, high-reward, and extremely confident player.
3️⃣ Trader: EFFICIENCYEXPERT
Address: 0x8c0b024c17831a0dde038547b7e791ae6a0d7aa5
📖Introduction: Ranked 15th overall in the esports category and 14th overall in League of Legends. Has bet on 2700 markets with a trading volume of $30 million. Has accumulated a small advantage into a net profit of $580,000 by covering a large number of markets. Recently, the win rate has declined; it is recommended to observe recent performance before copying.
4️⃣ Trader: synnet
Address: 0x8e0b7ae246205b1ddf79172148a58a3204139e5c
📖Introduction: Ranked 17th overall in the tennis betting market and 1st overall in the ATP market, with an average entry price of only 0.30, a win rate of 31.7%, and a net profit of $290,000. Focuses on betting on tennis underdogs; one win can cover multiple losses. Performance drops significantly outside the tennis betting market.
5️⃣ Trader: middleoftheocean
Address: 0x6c743aafd813475986dcd930f380a1f50901bd4e
📖Introduction: Ranked 99th overall in the sports betting category, with an 83.1% win rate in the football betting category. Has bet on over 1700 markets, with a total profit of $470,000. Main profits are concentrated in medium-probability markets; avoids low-probability, unpopular bets. Generally, it's not worth following outside of sports betting.
In conclusion
When you switch from following a top player in the sports arena to the political market, your win rate may not necessarily transfer. When copying someone's trades, focus on their area of expertise and avoid blindly following them across different sectors.
Each address on the list is involved in more than one sector. Smart money in the cultural sector might bet on geopolitics, and experts in the sports sector might dabble in the crypto market, but their performance outside their home turf is often much worse.
If you directly copy his trades using tools, his profits in his areas of expertise are likely to be offset by losses in other areas. Before copying his trades, first identify his strengths and only follow his positions in those areas.
An address is a reference, not an answer. Smart Money provides direction, but the judgment is still yours to make.
All addresses mentioned in this article are for reference only and do not constitute any investment advice. Market predictions carry the risk of principal loss; please participate only within your own risk tolerance.
