Biteye's previous article, "Polymarket Smart Money Copy Trading Guide: From Address Selection to Practical Pitfall Avoidance, Explained in One Article," discussed how to find smart money, how to select it, how to copy trades, and where the pitfalls lie. Judging whether an address is worth copying mainly involves three dimensions: PNL (verifying actual profits), profit structure (whether profits are diversified or reliant on a single transaction), and number of transactions (distinguishing between subjective trading and arbitrage). The most frequent private messages we receive are actually just one: "But can you directly provide a few smart money addresses?" Frankly, truly "smart money" addresses are extremely rare. These 26 addresses were painstakingly selected by the editor during countless late-night reviews, based on their keen insight into five sectors: politics, weather, technology, culture, and sports. They are more than just addresses; they are like a group of "hunters" with special intuition in different fields. ### 🏛 Politics & Geopolitics 1️⃣ Trader: wokerjoesleeper (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 positions are held on NO, focusing on low-probability markets, 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 (0x40471b34671887546013ceb58740625c2efe7293) Profile: Ranked 7th overall in Hormuz, with a win rate of 62.8% and a total profit of $290,000. Spanning both esports and geopolitics, the main positions are betting on oil prices and the Middle East situation, while also deeply involved in the esports markets such as CS2 and LOL. Proactive profit-taking is employed; positions are not held indefinitely. Stable profits are achieved in both sectors, making it one of the few addresses on the list capable of cross-sector trading. 3️⃣ Trader: cowcat (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 it a rare focused, high-position trader in the political sector. 4️⃣ Trader: ScottyNooo (0xbacd00c9080a82ded56f504ee8810af732b0ab35) Profile: 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 Trump-related markets alone. Average trade size is nearly $13,000, with a win rate of 58.8%. He heavily invests 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 (0x4bbe10ba5b7f6df147c0dae17b46c44a6e562cf3) Profile: Ranked 4th overall in the Foreign Policy category and 6th overall in the Ukraine category in the Trump-Zelenskyy sub-category, with a 100% win rate and total profit of $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. One of the most directional traders in the political category. ### 💰 Weather 1️⃣ Trader: HondaCivic (0x15ceffed7bf820cd2d90f90ea24ae9909f5cd5fa) Profile: Ranked 12th overall in the Weather category and 3rd overall in the Daily Temperature category, with a win rate of 85.7% and total profit of $48,000. Focusing on the temperature market, with over 3000 positions and an average trade size of $1,478, this trader has accumulated an advantage through high-frequency trading covering multiple cities' temperature markets. The Hong Kong sub-sector maintains a 100% win rate to date. 2️⃣ Trader: ikik111 (0x57ee70867b4e387de9de34fd62bc685aa02a8112) Profile: Total profit of $50,000 in the weather sector, covering over 3300 different markets, with an average trade size of only $37. Not relying on a high win rate, but a 38% win rate with a 3.54 profit/loss ratio, this trader achieves victory by buying a large number of diversified positions in the temperature market at extremely low cost, using volume to win – a typical high-frequency, high-volume strategy in the weather sector. 3️⃣ Trader: Maskache2 (0x1f66796b45581868376365aef54b51eb84184c8d) Profile: Total profit in the weather sector is $27,000, with a win rate of only 30%, but a profit/loss ratio of 3.74, relying on a few large wins to cover a large number of small losses. Has expertise in 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 (0x1838cca016850ac7185a9b149fe7d0bd2d6629b4) Profile: Formerly a weather forecaster, he now trades 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 trader in the weather sector. 5️⃣ Trader: BeefSlayer (0x331bf91c132af9d921e1908ca0979363fc47193f) Profile: Total profit of $49,000 in the weather track, accounting for 99% of overall returns, with a win rate of 67%. Covers temperature markets in multiple US cities including NYC, Seattle, Chicago, and Dallas. Average trade size is $198. Entered the market less than six months ago, with a consistently upward trend. One of the most focused traders in the weather track. 6️⃣ Trader: Varyage (0xd75d96a23515172778d3281f53c9180b985100c8) Profile: Ranked 47th overall in the weather track and 68th overall in the NYC sub-track, with a win rate of 78%, total profit of $20,000, and an account age of over two years.Only two trades per day, averaging $238 per trade, focusing on the temperature market in cities like NYC. Slow-paced yet broad-based, this is a rare, low-frequency, stable trader in the weather sector. ### 📱 Tech 1️⃣ Trader: George.Smiley (0x2110ba2a1e18840109482ff4ddc547baeff45850) Profile: Ranked 14th overall in the AI sector and Google Markets, with a 76.1% win rate and total profit of $28,000. Deeply understands the AI product release timeline, heavily investing in the timelines of specific products like Gemini and OpenAI, focusing on high-certainty markets and avoiding low-probability markets. 2️⃣ Trader: Optimus. (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. Half of the trades are YES (yes) and half are NO (no). Only bets on predictions, not directions. Spans 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 (0x41816fc1ebdfeb33f6356f2655ab499253b3de86) Profile: Ranked 35th in Big Tech overall, 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. Extremely small position size and extremely high frequency, accumulating positive expected value through large-scale low-price purchases. 4️⃣ Trader: DerDon (0xf797d4d1c038d1eb0593edae0e66bf8e4b2e0bf) Profile: Ranked 68th in Big Tech overall and 179th in the tech sector overall, has bet on 2864 markets, with a 62.5% win rate and total profit of $38,000. His most stable area is the technology sector, where he boasts a 75% win rate. His positions are small and diversified, averaging $372 per trade, and he trades consistently throughout the year. Major geopolitical events are his primary source of losses. Follow his trades by focusing on his technology positions. 5️⃣ Trader: Mujurry (0x5ecde7348ea5100af4360dd7a6e0a3fb1d420787) Profile: Ranked 20th overall in the technology sector, 28th overall in AI, and 10th overall in Google, with a 75.8% win rate. His win rate in technology-related sectors is consistently above 80%, with total profits of $170,000. He makes over 200 trades daily, a very high frequency, and actively takes profits, avoiding holding positions indefinitely. ### 🎭 Culture 1️⃣ Trader: Big.Chungus (0x06dcaa14f57d8a0573f5dc5940565e6de667af59) Profile: Ranked 18th overall in the culture sector and 3rd overall in the film box office. Has bet on 1500 markets and made 2500 trades, with a win rate of 73.7%. Primarily bets on high-probability markets, with an average entry price of 0.82. Amplifies 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 (0xdf6da574f8b0c0ce5e01ddb1c5a49b87993e9c5c) Profile: Ranked 23rd overall on Tweet Markets and 22nd overall on Elon Musk-related markets. 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. Specializes in heavily betting on YES in low-probability markets (win rate below 15%), using a few high-odds wins to cover numerous small losses—a typical contrarian betting style. 3️⃣ Trader: GUHHH (0x033dc6e3e3e0a3ae55402576990392ae910aaf05) Profile: Ranked 20th in the overall movie box office, has bet on over 1200 markets with a 77.9% win rate and total profit of $68,000. His strategy is the opposite of most traders; 69% of his position is on "NO" (no), focusing on shorting overvalued options and targeting high-certainty markets with a win rate of over 70%, accumulating wealth slowly through stable positive expected value, and avoiding low-probability, unpopular options. 4️⃣ Trader: BeN (0x668d85d791049bf0100e557a72c7ed4dc97297d2) Profile: Ranked 13th in the Music sector and 141st in the Culture sector, with a 67.3% win rate and total profit of $40,000. Focusing on high-probability markets, large positions are concentrated in markets with a win rate of over 90% to reap the final profits. The maximum drawdown is only $4,446, making it one of the most risk-controlled addresses among all addresses. 5️⃣ Trader: pol76 (0x36e7e560c4d4cf32926906d939a18cf91f8a0b6b) Profile: Ranked 43rd on the Tweet Markets leaderboard, with a win rate of 72.9% and total profits of $44,000. 83% of positions are bet on NO, focusing on high-probability markets where the win rate is as high as 96%, a stable main source of profit. Trades across multiple sectors including politics, culture, and technology, with a win rate of over 65% in each sector. ### ⚽ Sports 1️⃣ Trader: CKW (0x92672c80d36dcd08172aa1e51dface0f20b70f9a) Profile: Ranked 66th overall in the sports sector, 19th overall in UFC, and 26th overall 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 rarely selling mid-trade. 2️⃣ Trader: ewelmealt (0x07921379f7b31ef93da634b688b2fe36897db778) Profile: Ranked 20th overall in Soccer and 12th overall in La Liga, entered the market in February 2026, and profited $860,000 across 67 markets in 19 days. The average bet is nearly $44,000. He never sells his bets midway, holding them all 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, extremely confident trader. 3️⃣ Trader: EFFICIENCYEXPERT (0x8c0b024c17831a0dde038547b7e791ae6a0d7aa5) Profile: Ranked 15th overall in the esports sector and 14th overall in LOL. He has bet on over 2700 markets with a trading volume of $30 million. By covering a large number of markets, he has accumulated a small advantage into a net profit of $580,000. His win rate has recently declined; it is recommended to observe his recent performance before following his trades.4️⃣ Trader: synnet (0x8e0b7ae246205b1ddf79172148a58a3204139e5c) Profile: Ranked 17th overall in tennis and 1st overall in the ATP rankings. Average entry price is only 0.30, win rate is 31.7%, but net profit is $290,000. Focuses on tennis underdog betting; one win can cover multiple losses. Performance drops significantly outside of tennis. 5️⃣ Trader: middleoftheocean (0x6c743aafd813475986dcd930f380a1f50901bd4e) Profile: Ranked 99th overall in sports, win rate in football is 83.1%, has bet on 1700 markets, total profit is $470,000. Main profits are concentrated in medium-probability markets; avoids low-probability underdogs. Not worth following outside of sports. ### In conclusion, switching from sports experts to the political market doesn't guarantee a consistent win rate. When copying trades, focus on their area of expertise; don't blindly follow across different sectors. Each address on this list participates in more than one sector. Smart money in the cultural sector might bet on geopolitics, and sports experts might dabble in the crypto market, but their performance outside their home turf is often significantly weaker. If you directly copy their trades across all sectors, their profits in their expertise could be wiped out by losses in other sectors. Before copying, identify their core strengths and only follow positions in that area. Addresses are for reference, not answers. Smart money provides direction; the judgment is yours. All addresses in this article are for reference only and do not constitute investment advice. Market predictions carry the risk of principal loss; please participate only within your risk tolerance. [Biteye]