Original author: Changan I Biteye content team

Biteye previous article "Polymarket Smart Money Following Guide: From Address Screening to Practical Avoidance, Explained in One Article" discussed how to find smart money, how to screen addresses, how to follow trades, and where the pitfalls are - to determine whether an address is worth following, three dimensions are mainly considered:

• PNL: Verify that it has indeed made money
• Profit structure: Is it diversified profit or reliant on a single bet
• Trade frequency: Distinguishing whether it is subjective trading or arbitrage

The most concentrated message in the background is actually just one: “But can you directly give a few smart money addresses?”

To be honest, genuine “smart money” addresses are extremely scarce.

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

They are no longer just addresses, but rather a group of "hunters" with special intuition in different fields.

🏛 Politics & Geopolitics

1️⃣ Trader: wokerjoesleeper

🔗 Address: 0x63d43bbb87f85af03b8f2f9e2fad7b54334fa2f

📖 Introduction: Ranked 73rd in the politics track, 7th in the overall economy, and 9th in Fed rates, with total earnings of $900,000. Holds a 93% position betting NO, specializing in low-probability market layouts, with an 81% win rate and a ROI as high as +227%. Deeply involved in macro events like Fed rate decisions and Iran's political situation.

2️⃣ Trader: Frank0951

🔗 Address: 0x40471b34671887546013ceb58740625c2efe7293

📖 Introduction: Ranked 7th in Hormuz, with a 62.8% win rate and total earnings of $290,000. Covers both esports and geopolitics, primarily betting on oil prices and Middle East situations, while also deeply involved in esports markets like CS2 and LOL. Actively takes profits, does not hold positions indefinitely. This address is one of the few on the list with stable profits across two fields.

3️⃣ Trader: cowcat

🔗 Address: 0x38e59b36aae31b164200d0cad7c3fe5e0ee795e7

📖 Introduction: Ranked 184th in geopolitics, win rates in Iran and the Middle East sub-tracks both exceeding 88%, with total earnings nearing $200,000. Focused on Middle Eastern geopolitics, heavily betting on low-probability events that the market believes are almost impossible, achieving a 39% actual win rate in a market with only an 8% implied probability, with a Longshot ROI of +117%, and is a rare specialized heavyweight player in the politics track.

4️⃣ Trader: ScottyNooo

🔗 Address: 0xbacd00c9080a82ded56f504ee8810af732b0ab35

📖 Introduction: Ranked 43rd in the politics track and 6th in the Middle East sub-track, with total earnings exceeding $1.3 million, separately profiting $970,000 in Trump-related markets. Average single bet nearly $13,000, with a win rate of 58.8%, heavily betting on large political and geopolitical markets, entered the market in May 2025, achieving seven-figure returns in less than a year.

5️⃣ Trader: How.Dare.You

🔗 Address: 0x4bbe10ba5b7f6df147c0dae17b46c44a6e562cf3

📖 Introduction: Ranked 4th in Foreign Policy of the politics track, 6th in Ukraine, 1st in the Trump-Zelenskyy sub-track with a win rate of 100%, total earnings of $277,000. Focused on high-certainty markets related to Ukraine and foreign policies, heavily betting on high-probability outcomes, with an average single bet exceeding $12,000, win rate at 70.5%, one of the players in the politics track with the strongest directional sense.

💰 Weather

1️⃣ Trader: HondaCivic

🔗 Address: 0x15ceffed7bf820cd2d90f90ea24ae9909f5cd5fa

📖 Introduction: Ranked 12th in the weather track, 3rd in Daily Temperature, win rate of 85.7%, with total earnings of $48,000. Focused on temperature markets, with over 3,000 positions, average single bet $1,478, leveraging high-frequency coverage across multiple cities to accumulate advantages, maintaining a 100% win rate in the Hong Kong sub-track.

2️⃣ Trader: ikik111

🔗 Address: 0x57ee70867b4e387de9de34fd62bc685aa02a8112

📖 Introduction: Total earnings of $50,000 in the weather track, covering over 3,300 different markets, with an average single bet of only $37. Not relying on high win rates, with a 38% win rate paired with a 3.54 win-loss ratio, accumulating positions in temperature markets with very low costs, is a typical example of a high-frequency quantity accumulation strategy in the weather track.

3️⃣ Trader: Maskache2

🔗 Address: 0x1f66796b45581868376365aef54b51eb84184c8d

📖 Introduction: Total earnings of $27,000 in the weather track, with a win rate of only 30%, but a win-loss ratio of 3.74, covering large wins with a few losses. Has insights into the Seoul temperature market, highest single profit of $8,221, finding pricing discrepancies in cities that other traders do not pay much attention to, entered the market in January 2026, quickly achieving positive returns in three months.

4️⃣ Trader: JoeTheMeteorologist

🔗 Address: 0x1838cca016850ac7185a9b149fe7d0bd2d6629b4

📖 Introduction: Once a weather forecaster, now trading weather markets on Polymarket, with profits of $29,000 in the weather track, highest single profit of $7,056 in the Seoul temperature market, average single bet $42, accumulating returns by covering over 2,100 different markets, total profits of $77,000. Also participates in sports and esports, is a rare balanced player across multiple fields in the weather track.

5️⃣ Trader: BeefSlayer

🔗 Address: 0x331bf91c132af9d921e1908ca0979363fc47193f

📖 Introduction: Total earnings of $49,000 in the weather track, accounting for 99% of overall profits, with a 67% win rate, covering temperature markets in multiple US cities like NYC, Seattle, Chicago, Dallas. Average single bet $198, less than half a year in the market, steadily increasing profits, is one of the most focused players in the weather track.

6️⃣ Trader: Varyage

🔗 Address: 0xd75d96a23515172778d3281f53c9180b985100c8

📖 Introduction: Ranked 47th in the weather track and 68th in the NYC sub-track, with a win rate of 78%, total earnings of $20,000, account age exceeding two years. Only trades two bets per day, with an average single bet of $238, focused on temperature markets in cities like NYC, with a slow pace and wide coverage, is a rare low-frequency stable player in the weather track.

📱 Technology

1️⃣ Trader: George.Smiley

🔗 Address: 0x2110ba2a1e18840109482ff4ddc547baeff45850

📖 Introduction: Ranked 14th in the AI track, 14th in the Google market, with a win rate of 76.1%, total earnings of $28,000. Deeply involved in the timing of AI product releases, heavily betting on specific products' timelines such as Gemini and OpenAI, targeting high-certainty markets and avoiding low-probability markets entirely.

2️⃣ Trader: Optimus.

🔗 Address: 0xd5b97d08ec6098407bfbf66c2786ccc9967fe44e

📖 Introduction: Ranked 114th in the technology track and 62nd in the Elon Musk market, has traded in 1471 markets, with 2500 transactions, and total earnings of $73,000. Positions are small and diversified, average single bet $780, with YES and NO bets evenly split, not betting on direction but on judgment. Covers multiple tracks including politics, technology, and geopolitics, with win rates above 60% in each, is a rare versatile balanced player.

3️⃣ Trader: BobInvestments

🔗 Address: 0x41816fc1ebdfeb33f6356f2655ab499253b3de86

📖 Introduction: Ranked 35th in Big Tech, with a win rate of 75%, total earnings of $24,000. Specializes in cheap shares in low-probability markets, with an average entry price of only 0.16, betting on options seen as nearly impossible by the market, with a win rate of 52% greatly exceeding implied market probabilities. Very small positions with extremely high frequency, accumulating positive expected value through numerous low-price purchases.

4️⃣ Trader: DerDon

🔗 Address: 0xf797d4d1c038d1eb0593edae0e66bf8e4b2e0bf

📖 Introduction: Ranked 68th in Big Tech and 179th in the technology track, has traded in 2864 markets, win rate of 62.5%, total earnings of $38,000. The technology track's win rate of 75% is his most stable arena, with small and diversified positions, average single bet $372, continuously trading throughout the year. Major loss sources are geopolitical events, and he is reliable in technology positions.

5️⃣ Trader: Mujurry

🔗 Address: 0x5ecde7348ea5100af4360dd7a6e0a3fb1d420787

📖 Introduction: Ranked 20th in the technology track, 28th in AI, and 10th in Google, win rate of 75.8%, maintaining win rates over 80% in technology-related markets, total earnings of $170,000. Engages in over 200 trades daily, extremely high frequency, and actively takes profits, does not hold positions indefinitely.

🎭 Culture

1️⃣ Trader: Big.Chungus

🔗 Address: 0x06dcaa14f57d8a0573f5dc5940565e6de667af59

📖 Introduction: Ranked 18th in the culture track and 3rd in film box office, has traded in 1500 markets, with 2500 transactions, win rate of 73.7%. Primarily bets on high-probability markets, with an average entry price of 0.82, amplifying win probability advantages through extensive diversification, buying frequency is nearly double that of selling, a typical style of continually increasing positions and letting profits run.

2️⃣ Trader: TheRedChip

🔗 Address: 0xdf6da574f8b0c0ce5e01ddb1c5a49b87993e9c5c

📖 Introduction: Ranked 23rd in Tweet Markets and 22nd in Elon Musk-related markets, has traded in 1600 markets, with a win rate of only 45%, but through a risk-return ratio of 2.91 has achieved total earnings of $100,000. Specializes in heavily betting YES on low-probability markets (win rates below 15%), winning large odds few times covers many small losses, is a typical reverse betting strategy.

3️⃣ Trader: GUHHH

🔗 Address: 0x033dc6e3e3e0a3ae55402576990392ae910aaf05

📖 Introduction: Ranked 20th in film box office, has traded in 1200 markets, with a win rate of 77.9%, total earnings of $68,000. Strategy is the opposite of most, with 69% of positions betting NO, specifically shorting options that are overpriced in the market, focusing on high-certainty markets with win rates over 70%, steadily accumulating through positive expected value, avoiding low-probability underdogs.

4️⃣ Trader: BeN

🔗 Address: 0x668d85d791049bf0100e557a72c7ed4dc97297d2

📖 Introduction: Ranked 13th in the Music track and 141st in the culture track, win rate of 67.3%, total earnings of $40,000. Primarily targets high-probability markets, with large positions concentrated on markets with win rates over 90%, harvesting the last portion of profits, with the largest drawdown only $4,446, is one of the most stable in risk control among all addresses.

5️⃣ Trader: pol76

🔗 Address: 0x36e7e560c4d4cf32926906d939a18cf91f8a0b6b

📖 Introduction: Ranked 43rd in Tweet Markets, with a win rate of 72.9%, total earnings of $44,000. 83% of positions betting NO, primarily targeting high-probability markets, with a win rate as high as 96% in this range, making it a stable primary source of profits. Spanning multiple tracks including politics, culture, and technology, with win rates above 65% in each.

⚽ Sports

1️⃣ Trader: CKW

🔗 Address: 0x92672c80d36dcd08172aa1e51dface0f20b70f9a

📖 Introduction: Ranked 66th in the sports track, 19th in UFC and 26th in MLB, with total transaction volume exceeding $74 million. Proficient in identifying overpriced market options, betting NO in low-probability markets, average single bet nearly $16,000, with long holding periods and rarely selling midway.

2️⃣ Trader: ewelmealt

🔗 Address: 0x07921379f7b31ef93da634b688b2fe36897db778

📖 Introduction: Ranked 20th in Soccer and 12th in La Liga, entered the market in February 2026, profiting $860,000 in 67 markets within 19 days. Average single bet close to $44,000, never sells midway, holds all positions until settlement, specifically betting on medium-probability markets (30-70% range) with a nearly 100% win rate, is a typical heavy slow-play, extremely confident player.

3️⃣ Trader: EFFICIENCYEXPERT

🔗 Address: 0x8c0b024c17831a0dde038547b7e791ae6a0d7aa5

📖 Introduction: Ranked 15th in the esports track and 14th in LOL, has traded in 2700 markets with a transaction volume of $30 million. By covering numerous markets, has accumulated a net profit of $580,000, recently win rates have declined, advisable to observe recent performance before following.

4️⃣ Trader: synnet

🔗 Address: 0x8e0b7ae246205b1ddf79172148a58a3204139e5c

📖 Introduction: Ranked 17th in the tennis track and 1st in ATP, with an average entry price of only 0.30, win rate of 31.7% but net profit of $290,000. Focused on underdog bets in tennis, one win can cover many losses. Performance greatly declines outside of the tennis track.

5️⃣ Trader: middleoftheocean

🔗 Address: 0x6c743aafd813475986dcd930f380a1f50901bd4e

📖 Introduction: Ranked 99th in the sports track, win rate of 83.1% in the soccer track, has traded in 1700 markets with total profits of $470,000. Mainly profits from medium-probability markets, avoids low-probability underdogs, generally not worth following outside of sports.

In Conclusion

When transitioning from sports track experts to the political market, win rates may not necessarily transfer. Following trades should focus on the track in which the trader excels, avoid blindly following across different types.

Each address on the list does not only participate in one track. Smart money in the culture track may bet on geopolitics, and experts in the sports track may also engage in the crypto market, but their performance outside their home track often differs significantly.

If directly using tools to fully follow trades, earnings in their strong track may likely be offset by losses in other tracks. Before following, clarify where their home field is, and only follow positions in that direction.

Addresses are references, not answers. Smart money provides you with direction, but judgment must still be made independently.

All addresses in this article are for reference only and do not constitute any investment advice. There is a risk of principal loss in prediction markets, please participate within your own risk tolerance.

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