Polymarket Smart Money Map: 26 Trackable Addresses by Market Category

Author: Changan I Biteye Content Team

Previous article on Biteye 『Polymarket Smart Money Copy Trading Guide: From Address Screening to Practical Tips — Everything You Need to Knowcovered how to find smart money, how to screen addresses, how to copy trades, and where the pitfalls lie — to determine whether an address is worth following, focus on three key dimensions:

• PNL: Verify that you've truly made a profit
• Profit structure: Is profit diversified, or does it rely on a single transaction?
• Number of trades: Determine whether it is discretionary trading or arbitrage

The most common private message on the backend is really just one: “But can you just give a few smart money addresses?”

To be honest, genuine "smart money" addresses are extremely rare.

These 26 addresses were carefully selected by our editor after countless late-night reviews, based on their sensitivity to politics, weather, technology, culture, and sports.

They are no longer just addresses; they are more like a group of "hunters" with specialized intuition across different fields.

1️⃣ Trader: wokerjoesleeper

🔗 Address: 0x63d43bbb87f85af03b8f2f9e2fad7b54334fa2f

📖 Introduction: Ranked #73 overall in Politics, #7 in Economy, and #9 in Fed Rates, with total profits of $900,000. Maintained a 93% position on NO, specializing in low-probability markets with an 81% win rate and an ROI of +227%. Focuses on long-term macro events such as Federal Reserve interest rate decisions and Iranian political developments.

2️⃣ Trader: Frank0951

🔗 Address: 0x40471b34671887546013ceb58740625c2efe7293

📖 Introduction: Ranked #7 on the Hormuz leaderboard with a win rate of 62.8% and total profits of $290,000. Operates across both esports and geopolitical markets, with primary positions focused on oil prices and Middle Eastern局势, while also actively trading in esports markets such as CS2 and LOL. Practices disciplined profit-taking and never holds losing positions indefinitely. Consistently profitable in both sectors, making it one of the few addresses on the list capable of successfully operating across multiple markets.

3️⃣ Trader: cowcat

🔗 Address: 0x38e59b36aae31b164200d0cad7c3fe5e0ee795e7

📖 Introduction: Ranked #184 overall in geopolitical betting, with win rates exceeding 88% in both Iran and Middle East subcategories, generating nearly $200,000 in total profits. Focused exclusively on Middle East geopolitics, this trader heavily bets on low-probability events that the market considers nearly impossible—achieving a 39% actual win rate in a market where the implied probability was only 8%, with a Longshot ROI of +117%. A rare, concentrated, high-conviction player in the political betting space.

4️⃣ Trader: ScottyNooo

🔗 Address: 0xbacd00c9080a82ded56f504ee8810af732b0ab35

📖 Introduction: Ranked #43 overall in the Politics category and #6 in the Middle East subcategory, with total profits exceeding $1.3 million. Profits from Trump-related markets alone reached $970,000. Average trade size: ~$13,000, win rate: 58.8%. Focused on large-scale political and geopolitical markets, entered in May 2025 and generated seven-figure returns in under a year.

5️⃣ Trader: How.Dare.You

🔗 Address: 0x4bbe10ba5b7f6df147c0dae17b46c44a6e562cf3

📖 Introduction: Ranked #4 overall in Foreign Policy and #6 in Ukraine, with the Trump-Zelenskyy subcategory ranking #1 and a 100% win rate, total profits amount to $277,000. Focused on high-probability markets in Ukraine and foreign policy, this trader heavily stakes high-likelihood outcomes, with an average bet exceeding $12,000 and a win rate of 70.5%, making them one of the most directionally accurate players in the political赛道.

1️⃣ Trader: HondaCivic

🔗 Address: 0x15ceffed7bf820cd2d90f90ea24ae9909f5cd5fa

📖 Introduction: Ranked #12 overall in the Weather赛道 and #3 in Daily Temperature, with an 85.7% win rate and total profits of $48,000. Focused exclusively on temperature markets, with over 3,000 positions and an average trade size of $1,478. Gained an edge by high-frequency trading across multiple city temperature markets; the Hong Kong sub-segment has maintained a 100% win rate to date.

2️⃣ Trader: ikik111

🔗 Address: 0x57ee70867b4e387de9de34fd62bc685aa02a8112

📖 Introduction: The weather trading strategy generated a total profit of $50,000 across more than 3,300 different markets, with an average trade size of just $37. With a win rate of only 38% and a profit factor of 3.54, this approach relies on low-cost entries and diversified positions across numerous temperature markets, using volume to drive success—it’s a classic high-frequency, high-volume strategy in the weather trading space.

3️⃣ Trader: Maskache2

🔗 Address: 0x1f66796b45581868376365aef54b51eb84184c8d

📖 Introduction: The weather trading strategy generated a total profit of $27,000 with a win rate of only 30%, but achieved a profit-loss ratio of 3.74 by relying on a few large wins to offset numerous small losses. The trader developed unique insights into Seoul temperature markets, achieving a single-trade maximum profit of $8,221 by identifying pricing discrepancies in cities overlooked by other traders. Entered the market in January 2026 and generated positive returns within three months.

4️⃣ Trader: JoeTheMeteorologist

🔗 Address: 0x1838cca016850ac7185a9b149fe7d0bd2d6629b4

📖 Introduction: Formerly a weather forecaster, now trading weather markets on Polymarket—earned $29,000 in the weather niche, with a single highest profit of $7,056 on Seoul temperature markets and an average profit of $42 per trade, accumulating gains by frequently covering over 2,100 different markets for a total profit of $77,000. In addition to weather, also participates in sports and esports, making him a rare balanced trader across multiple niches in the weather market.

5️⃣ Trader: BeefSlayer

🔗 Address: 0x331bf91c132af9d921e1908ca0979363fc47193f

📖 Introduction: The weather trading strategy generated a total profit of $49,000, accounting for 99% of overall returns, with a win rate of 67%, covering temperature markets in multiple U.S. cities including NYC, Seattle, Chicago, and Dallas. The average trade size is $198; having traded for less than six months, the equity curve has consistently risen, making this one of the most focused traders in the weather market.

6️⃣ Trader: Varyage

🔗 Address: 0xd75d96a23515172778d3281f53c9180b985100c8

📖 Introduction: Ranked #47 overall in the Weather track and #68 in the NYC sub-track, with a win rate of 78% and total profits of $20,000 over more than two years. Trades only two positions per day, averaging $238 per trade, focusing exclusively on temperature markets in NYC and other cities. With a slow, deliberate pace and broad market coverage, this is a rare low-frequency, steady performer in the Weather track.

1️⃣ Trader: George.Smiley

🔗 Address: 0x2110ba2a1e18840109482ff4ddc547baeff45850

📖 Introduction: Ranked #14 overall in the AI sector and #14 overall on the Google marketplace, with a win rate of 76.1% and total profits of $28,000. Focused on the release timelines of AI products, heavily invested in specific products such as Gemini and OpenAI, and exclusively targeted high-probability markets while avoiding low-probability ones.

2️⃣ Trader: Optimus.

🔗 Address: 0xd5b97d08ec6098407bfbf66c2786ccc9967fe44e

📖 Introduction: Ranked #114 overall in the Tech category and #62 globally in the Elon Musk market, with 1,471 markets and 2,500 trades wagered, generating a total profit of $73,000. Positions are small and diversified, with an average bet size of $780, evenly split between YES and NO outcomes—focusing not on direction but on judgment. Active across politics, technology, and geopolitics, with win rates above 60% in every category, making this a rare well-rounded and balanced trader.

3️⃣ Trader: BobInvestments

🔗 Address: 0x41816fc1ebdfeb33f6356f2655ab499253b3de86

📖 Introduction: Ranked #35 among Big Tech, with a 75% win rate and total profits of $24,000. Specializes in purchasing cheap shares in low-probability markets, with an average entry price of just $0.16, betting on outcomes the market considers nearly impossible—achieving a 52% win rate far exceeding the market-implied probability. Maintains tiny positions with extremely high frequency, accumulating positive expected value through large volumes of low-cost purchases.

4️⃣ Trader: DerDon

🔗 Address: 0xf797d4d1c038d1eb0593edae0e66bf8e4b2e0bf

📖 Introduction: Ranked #68 overall on Big Tech, #179 in the Tech sector, with 2,864 markets traded, a win rate of 62.5%, and total profits of $38,000. A 75% win rate in the Tech sector is his most consistent strength, with small, diversified positions averaging $372 per trade and consistent trading throughout the year. Geopolitical events are his primary source of losses—follow his Tech sector positions.

5️⃣ Trader: Mujurry

🔗 Address: 0x5ecde7348ea5100af4360dd7a6e0a3fb1d420787

📖 Introduction: Ranked #20 overall in the Tech category, #28 in AI, and #10 on Google, with a win rate of 75.8%. Win rates in tech-related categories consistently exceed 80%, with total profits of $170,000. Executes over 200 trades daily at a very high frequency, and actively takes profits rather than holding positions indefinitely.

1️⃣ Trader: Big.Chungus

🔗 Address: 0x06dcaa14f57d8a0573f5dc5940565e6de667af59

📖 Introduction: Ranked #18 overall in the culture category and #3 in box office earnings, with 1,500 markets and 2,500 trades wagered on, achieving a win rate of 73.7%. Focuses primarily on high-probability markets, with an average entry price of 0.82. Leverages broad diversification to compound the edge in win rate, buying nearly twice as often as selling—typical of a strategy that consistently adds positions and lets profits run.

2️⃣ Trader: TheRedChip

🔗 Address: 0xdf6da574f8b0c0ce5e01ddb1c5a49b87993e9c5c

📖 Introduction: Ranked #23 overall on Tweet Markets and #22 for Elon Musk-related markets, this trader has placed bets on over 1,600 markets with a win rate of only 45%, yet achieved $100,000 in total profits by leveraging a risk-reward ratio of 2.91. They specialize in heavily betting YES on low-probability markets (win rate below 15%), using a few high-odds wins to offset numerous small losses—a classic contrarian odds-seeking strategy.

3️⃣ Trader:GUHHH

🔗 Address: 0x033dc6e3e3e0a3ae55402576990392ae910aaf05

📖 Introduction: Ranked #20 in box office earnings, traded over 1,200 markets with a win rate of 77.9% and total profits of $68,000. The strategy contradicts most traders: 69% of positions are placed on NO, specifically shorting overpriced market options. Focuses exclusively on high-probability markets with over 70% win rates, building consistent positive expected value over time while avoiding low-probability, obscure markets.

4️⃣ Trader: BeN

🔗 Address: 0x668d85d791049bf0100e557a72c7ed4dc97297d2

📖 Introduction: Ranked #13 overall in the Music category and #141 in the Culture category, with a win rate of 67.3% and total profits of $40,000. Focuses on high-probability markets, concentrating large positions to capture the final gains in markets with win rates above 90%, with a maximum drawdown of only $4,446—among the most risk-controlled addresses overall.

5️⃣ Trader: pol76

🔗 Address: 0x36e7e560c4d4cf32926906d939a18cf91f8a0b6b

📖 Introduction: Ranked #43 on the Tweet Markets leaderboard with a win rate of 72.9% and total profits of $44,000. 83% of positions are placed on NO, focusing on high-probability markets where the win rate in this range reaches 96%, serving as the primary source of consistent profits. Covers multiple sectors including politics, culture, and technology, each with a win rate above 65%.

1️⃣ Trader: CKW

🔗 Address: 0x92672c80d36dcd08172aa1e51dface0f20b70f9a

📖 Introduction: Ranked #66 overall in the sports category, #19 in UFC, and #26 in MLB, with total trading volume exceeding $74 million. Skilled at identifying overpriced market options and placing contrarian NO bets in low-probability markets, with an average bet size of nearly $16,000, long holding periods, and rarely selling mid-position.

2️⃣ Trader: ewelmealt

🔗 Address: 0x07921379f7b31ef93da634b688b2fe36897db778

📖 Introduction: Ranked 20th overall in Soccer and 12th in La Liga, joined in February 2026, generated $860,000 in profits across 67 markets within 19 days. Average bet size nearly $44,000; never sells early—holds all positions until settlement. Specializes in medium-probability markets (30–70% range) with near-100% win rate, embodying a classic heavy-position, slow-play, highly confident strategy.

3️⃣ Trader: EFFICIENCYEXPERT

🔗 Address: 0x8c0b024c17831a0dde038547b7e791ae6a0d7aa5

📖 Introduction: Ranked #15 overall in esports and #14 in League of Legends, with 2,700 markets wagered on and $30 million in trading volume. By covering a wide range of markets, small advantages have accumulated into a net profit of $580,000; recent win rate has declined slightly—recommend observing recent performance before following.

4️⃣ Trader: synnet

🔗 Address: 0x8e0b7ae246205b1ddf79172148a58a3204139e5c

📖 Introduction: Ranked 17th overall in tennis, 1st on ATP, with an average entry price of just 0.30, a win rate of 31.7%, but a net profit of $290,000. Focused on underdog bets in tennis, where a single win can cover multiple losses. Performance in the tennis market has recently declined significantly.

5️⃣ Trader: middleoftheocean

🔗 Address: 0x6c743aafd813475986dcd930f380a1f50901bd4e

📖 Introduction: Ranked #99 overall in sports, with an 83.1% win rate in football. Has bet on over 1,700 markets, generating total profits of $470,000. Primary profits come from medium-probability markets; avoids low-probability obscure bets. Outside of sports, following is generally not worthwhile.

Switching from a sports expert to a political market doesn’t guarantee the same win rate. Follow trades only in the niche they excel in—don’t blindly copy across unrelated categories.

Each address on the list participates in more than one category. Smart money in the culture category may bet on geopolitics, and top players in the sports category may also engage with the crypto market, but their performance outside their primary category is often much weaker.

If you copy all trades directly using a tool, his profits in his strong areas may be offset by losses in other areas. Before copying, clearly identify his core strengths and only follow his positions in those specific directions.

The address is for reference only, not an answer. Smart money gives you direction, but the judgment still needs to be made by you.

All addresses in this article are for reference only and do not constitute any investment advice. Trading in the market carries the risk of principal loss; please participate only within your risk tolerance.