Polymarket Advanced: How to Build Your Smart Money Address Database?

On Polymarket, what you bet on is more important than how you bet. Biteye helps you find the smart money addresses most worth tracking and also sets up your information channels. Author: Changan Source: Biteye Content Team Last time, we discussed five interaction strategies on Polymarket, from liquidity order placement to cross-platform arbitrage; the core logic is finding certainty in uncertainty. However, many readers asked the same question after reading: I know how to operate, but what should I bet on? The essence of Polymarket is information gaming. The difference between ordinary players and top traders lies not in the speed of clicking the mouse, but in the level of information acquisition. Trading tools determine the upper limit of operations, while information quality determines the bottom line of the win rate. This article will break down how to build a high-win-rate information filtering system by tracking smart money addresses and high-quality channels. I. Address as Signal: Consensus Filtering with Real Money Top traders on Polymarket are not lucky gamblers, but experts in their respective fields. French whale Théo bet on Trump, personally funding a private polling company to use the "neighbor voting method" to discover hidden voters systematically ignored by mainstream polling systems. Cahy, whose Twitter account is based in Israel, offers his assessment of the Middle East situation based on genuine geopolitical awareness. Many "smart money" investors in the sports sector are professional sports analysts with sophisticated data models. Smart money often has firsthand information on projects and regulatory developments. By investing, they are expressing their most genuine judgment on the matter with real money. Of course, we shouldn't blindly copy their trades. Screening for smart money requires three core indicators: PNL (Packet Volume): Verifies that the address is genuinely making money; ROI (Return on Investment): Measures capital efficiency, eliminating addresses with large amounts of capital but mediocre judgment; Transaction frequency: Used to distinguish between subjective traders and arbitrageurs/market makers. The former makes every trade a well-thought-out decision, while the latter profits from price differences, making copying less meaningful. Based on these three indicators, we used @MeetHubble to filter the following addresses. PolyHub is a fully automated smart money copy trading tool designed specifically for Polymarket. Users can select familiar event types and use indicators such as PNL, ROI, trading frequency over the past month, and timing score to filter for worthwhile smart money, and set conditions for automatic copy trading. II. Smart Money Address Recommendation 🏛 Politics & Geopolitics Category aenews2 Twitter: @aenews Address: 0x44c1dfe43260c94ed4f1d00de2e1f80fb113ebc1 Profile: A data-driven all-rounder with $4.35 million in profit in the political arena, specializing in high-probability betting and liquidity strategies.YatSen Twitter: @HarveyMackinto2 Address: 0x5bffcf561bcae83af680ad600cb99f1184d6ffbe Profile: Chinese user, $2.21 million profit on a single account in the political arena, strong consistency in performance, advocates for collaborative profits among Chinese investors. ImJustKen (Domer) Twitter: @Domahhhh Address: 0x9d84ce0306f8551e02efef1680475fc0f1dc1344 Profile: Number one in total historical profit, professional poker player, skilled at using unique insights to analyze political events, artfully crafting trades. debased Twitter: @debased_PM Address: 0x24c8cf69a0e0a17eee21f69d29752bfa32e823e1 Profile: Combines political and economic analysis, $1.51 million profit, also uses market-making strategies, a low-frequency social media user who builds positions at high levels. scottilicious Twitter: @scottonPoly Address: 0x000d257d2dc7616feaef4ae0f14600fdf50a758e Profile: PhD in Political Science, $1.35 million in profit, specializing in bond strategies and large position management in high-probability markets. gopfan2 Twitter: @r_gopfan Address: 0xf2f6af4f27ec2dcf4072095ab804016e14cd5817 Profile: Professional trader, over $1 million in profit, with investments spanning politics, sports, and weather, and a clear risk management approach. BuckMySalls Twitter: @IvanCryptoSlav Address: 0x509587cbb541251c74f261df3421f1fcc9fdc97c Bio: Geopolitical expert, fluent in multiple languages, $920,000 in profit, publishes in-depth analysis articles on Substack. mr. ozi Twitter: @MrOziPM Address: 0x614dc8d3542c12103d2c6a3553fd761e391d1546 Bio: Grew from $15,000 to $500,000 in profit, founded a prediction market trading community and courses, geopolitical expert. MEPP Twitter: @MEPPonPM Address: 0x6d9fc316c3b8377060a44b852ba664adbfd59790 Profile: Top 100 trader on Polymarket, specializing in both politics and geopolitics, active on social media. cashy Twitter: @cashyPoly Address: 0x8f42ae0a01c0383c7ca8bd060b86a645ee74b88f Profile: Middle East market expert, frequently shares informational advantages and stable profit strategies based on Israel's geographical location. denizz Twitter: @denizz_poly Address: 0xbaa2bcb5439e985ce4ccf815b4700027d1b92c73 Profile: Vertical expert focusing on Middle East conflicts, with $500,000 in profits, the address most frequently recommended for copy trading in the community. slight Twitter: @SemioticRivalry Address: 0x090a0d3fc9d68d3e16db70e3460e3e4b510801b4 Profile: Turned $286 into $1 million, calls himself "contrarian stupid," and has been interviewed by Polymarket. tsybka Twitter: @tsybka Political Address: 0xd5ccdf772f795547e299de57f47966e24de8dea4 Profile: Verified Polymarket account, active community member, calls himself a "warrior trader," and has been interviewed by Polymarket. 💰 Crypto chungguskhan Twitter: @tenad0me Address: 0x7744bfd749a70020d16a1fcbac1d064761c9999e Bio: Paradigm fellow, highly active across markets, with interests in both crypto and politics.NeverYES Twitter: @DidiTrading Address: 0xe55108581aec68af7686bd4cbc4f53ef93680a67 Profile: Specializes in betting strategies in the Pre-TGE market, publicly shares betting logic. KimballDavies Twitter: @KimballDavies Address: 0x1070ee77f3d191241ccc716d0f9c2654343c9124 Profile: Focuses on the Pre-TGE market, with a Profit/Volume ratio as high as 54.3%, a deep player in prediction markets and MetaDAO. 📱 Tech Category 0xafEe Address: 0xee50a31c3f5a7c77824b12a941a54388a2827ed6 Profile: Ranked #1 in the tech sector, with a profit of $1.36 million and an ROI of 36.71%. bamesjond (Address: 0xe598435df0cdf5d22bdd5082d557f75f9180a0a8): Ranked second in the technology sector, with $500,000 in profit and an ROI of 28.63%. LlamaEnjoyer (Twitter: @verrissimus, Address: 0x9b979a065641e8cfde3022a30ed2d9415cf55e12): $3.22 million in total market profit, started with $1,500, emphasizing the value of prediction markets as an efficient information tool. fffffz (address: 0x17ce7c9a7f768bfa98946caf7d64c9e051f5beec): Profit of $130,000, ROI of 15.85%. A key target tracked by multiple Polymarket smart money accounts. He heavily invested in YES in the Federal Reserve Chairman nomination market and accumulated positions in both directions in the Time Magazine Person of the Year market. tourists (address: 0xc6dd722558dbfbd8fa780efcbe819ed8c6604b9f): Profit of $100,000, ROI of 6.16%. A well-known large investor on Polymarket, frequently appearing in Whale Alert-type accounts. He once made a single trade exceeding $200,000 on the Polymarket US listing market. 🎭 Culture Category Anjun Twitter: @AnjunPoly Address: 0x43372356634781eea88d61bbdd7824cdce958882 Profile: Film box office market expert, with a profit of $980,000. His strategies are stable and easily replicated by ordinary investors. ImJustKen (Domer) Twitter: @Domahhhh Address: 0x9d84ce0306f8551e02efef1680475fc0f1dc1344 Profile: With a timing score of 64.9, the highest on the entire list in the culture category, he excels at accurately grasping entry opportunities and is a versatile cross-disciplinary trader. Brokie Twitter: @BrokieTrades Address: 0x1e1f17412069c0736adfaadf8ee7f46e5612c855 Profile: Top 0.01% trader on Polymarket. GUHHH Twitter: @guhhhtradez Address: 0x033dc6e3e3e0a3ae55402576990392ae910aaf05 Profile: A pop culture speculator, deeply involved in niche markets such as film box office, focusing on uncovering niche market opportunities. Snoorrason Address: 0x805a922574d7d6b158b7bbb49a6fa8925eb60635 Profile: Profited $390,000 with an ROI of 6.04%, one of the biggest winners in the Portuguese presidential election market, recommended by followed accounts as "one of the addresses worth paying close attention to in the future political and cultural market". ⚽ Sports category Primer address: 0xd38b71f3e8ed1af71983e5c309eac3dfa9b35029 Introduction: A sports track sniper, achieving a profit of $2.66 million with an ROI of 17.57%.tazcot (Address: 0x343d4466dc323b850e5249394894c7381d91456e): A top player in the sports betting sector, with a profit of $2.6 million, an extremely high hit rate, and an ROI of 64.86%. fengdubiying (Twitter: @AnselFang): (Address: 0x17db3fcd93ba12d38382a0cade24b200185c5f6d): A top Chinese player who grew from $15 to $3.2 million, with a cross-category accuracy rate of 85%. Latina (Twitter: @thicccandjuiicy): (Address: 0x26437896ed9dfeb2f69765edcafe8fdceaab39ae): A pure sports betting player, frequently marked as a major player in the sports betting sector. It primarily focuses on large-scale betting in the NBA, NFL, college basketball, and soccer markets. Its highest profit was $3.2 million. airev Twitter: @ParallelAiRev Address: 0xc703e8bec77521afea724001a663f6615297c3d5 Profile: Focuses on sports speculation, frequently shares event logic, event analysis and predictions publicly. ewww1 Twitter: @traXeH_ Address: 0xc703e8bec77521afea724001a663f6615297c3d5 Profile: A sports betting player, he excels in markets such as soccer and NHL, specializing in contrarian/underdog betting. III. Filling the Information Gap: From "Seeing the Results" to "Listening to the Logic" Tracking addresses only lets you see "what smart money bought," but this is only a lagging result. To achieve true synchronization, you need to read their information flow and understand "why they bought." 1. TG Channel PolyBeats_Bot: The channel pushes large betting alerts daily in real time, along with background analysis. 1. It doesn't just tell you "how much money someone has bet," it also tracks account history and identifies suspected insider accounts. 2. Telegram channel polymarket_whales: A real-time alert channel focusing on large trades. Unlike PolyBeats, which emphasizes background analysis, this channel is purer, providing real-time signals, suitable for traders who prefer to make their own judgments and only need raw information. 3. Twitter community @zscdao: One of the most active player communities in the Polymarket ecosystem, positioned as a "tool DAO + trader community." Community members include researchers, traders, and developers, producing trading strategies, smart money tracking, tool sharing, and profit case analysis daily. You can see how others think about a bet and how they use tools to assist in decision-making. Affiliated member accounts also publish specific trading strategies daily, suitable for those who want to delve deeper into Polymarket and follow them long-term. 4. Many of the smart money addresses listed on the Twitter list have active Twitter accounts. Adding them to your Twitter list is the most effortless way to obtain information. You don't need to actively check positions every day; they will proactively provide opinions, analysis, and betting logic. IV. Summary: From Information to Decision-Making The essence of Polymarket is an information game. The winners are not necessarily those with the strongest judgment, but they are definitely those who have the most comprehensive information intake.You now have three types of tools at your disposal: addresses are fundamental, allowing you to see what smart money is betting on; Telegram channels are your radar, instantly detecting large price movements; and your Twitter list is built up over time, continuously absorbing the thinking of top traders. These three things combined give you an edge in information quality over most people. Information is the starting point for decision-making, not the end point. After seeing a signal, you still need to ask yourself: What is the logic behind this position? Are the odds still worthwhile? Smart money provides you with references, not answers.

RichSilo Exclusive Analysis:

Smart Money Tracking in Prediction Markets: A New Frontier for On-Chain Analytics

The article from Biteye’s content team provides a sophisticated framework for tracking “smart money” addresses on Polymarket, revealing an emerging trend in the blockchain ecosystem that extends beyond traditional financial markets into prediction markets. This development signals a maturation of on-chain analytics and presents both significant opportunities and notable risks for crypto investors.

Market Impact: From On-Chain Tracking to Prediction Markets

The detailed methodology for identifying and analyzing successful prediction market traders represents a significant evolution in blockchain analytics. While traditional crypto markets have long focused on tracking “whale” addresses, Polymarket introduces a more nuanced approach by evaluating traders based on PNL, ROI, and transaction frequency – metrics that combine financial performance with behavioral patterns.

This trend reflects a broader convergence between DeFi and real-world data applications. Prediction markets like Polymarket are increasingly being recognized not just as gambling platforms, but as sophisticated information discovery mechanisms that leverage blockchain’s transparency to aggregate dispersed knowledge. The success of platforms like Polymarket demonstrates the practical utility of blockchain technology beyond simple value transfer.

Token Price Implications: Indirect but Significant

While Polymarket operates with its native tokens (PMATIC for liquidity and POLY for governance), the broader implications for crypto token prices are indirect yet meaningful:

  1. Data Analytics Tokens: The sophisticated tracking methodologies described in the article validate the value proposition of data analytics tokens that focus on on-chain metrics and social sentiment analysis. Projects providing similar analytical tools for various prediction markets could see increased demand.

  2. Oracles and Data Providers: The emphasis on information quality suggests that oracle providers and data analytics platforms that can deliver high-quality, real-time information will play increasingly critical roles in the DeFi ecosystem.

  3. DeFi Infrastructure: As prediction markets grow in sophistication, the underlying DeFi infrastructure supporting them – particularly automated market makers (AMMs) and liquidity provisioning mechanisms – will become more valuable.

Risks: The Perils of Herd Mentality and Information Cascades

Despite the sophisticated approach outlined in the article, several risks merit careful consideration:

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  1. Information Cascades: As more traders adopt these smart tracking methods, there’s a risk of herding behavior that could distort market prices and reduce the efficiency of information aggregation.

  2. Strategy Diminishing Returns: The profitability of these strategies may diminish as more market participants adopt them, potentially leading to crowded trades and reduced alpha.

  3. False Positives: Not all profitable traders are genuinely skilled; some may have benefited from luck or timing rather than superior information processing. Blindly copying positions without understanding the underlying logic remains dangerous.

  4. Regulatory Uncertainty: Prediction markets operate in a regulatory gray area, and increased attention from regulators could disrupt these platforms and affect the value of their associated tokens.

Opportunities: The Emerging Prediction Economy

The rise of sophisticated smart money tracking in prediction markets creates several promising opportunities:

  1. Cross-Market Information Arbitrage: The ability to identify and act on information before it’s fully priced into markets across different prediction platforms (Polymarket, Kalshi, etc.) presents significant arbitrage opportunities.

  2. Data Monetization: Successful traders with proven track records can monetize their information through subscription services, copy-trading platforms, or analytical tools – creating new revenue streams in the crypto ecosystem.

  3. AI-Enhanced Analytics: The combination of on-chain data with natural language processing and AI could create more sophisticated analytical tools that identify patterns in smart money behavior that humans might miss.

  4. Integration with Traditional Finance: As prediction markets mature, they may increasingly integrate with traditional financial markets, creating new bridges between crypto and conventional finance.

Conclusion: The Information Edge in Prediction Markets

The article effectively demonstrates how information asymmetry is the primary determinant of success in prediction markets, not trading speed or technical sophistication. This insight extends to broader crypto markets, where information quality often outweighs technical trading prowess.

For crypto investors, the key takeaway is that on-chain analytics is evolving beyond simple wallet tracking to include behavioral analysis, information flow mapping, and cross-platform correlation. The sophisticated tracking methodologies described for Polymarket represent the cutting edge of this evolution and may soon be adapted for other blockchain-based prediction platforms.

As prediction markets continue to grow in sophistication and adoption, they will likely become increasingly important components of the broader DeFi ecosystem, creating new opportunities for data analytics, AI-driven insights, and strategic information arbitrage.

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