Nick Preszler is a passionate trailblazer in the prediction market space, driving innovation at Melee Markets with a vision to democratize speculation and market creation. Highly active and engaged, he leverages his platform to educate and excite followers about the potential of viral prediction markets. Nick seamlessly blends bold market predictions with groundbreaking product development to challenge traditional financial paradigms.
Nick’s so obsessed with prediction markets, rumor has it he once tried to bet on how long he could stay in a meeting without checking his phone — but the odds were too volatile to call!
Successfully raised $3.5M in funding to create a next-generation prediction market platform that rewards both speculation and virality, positioning Melee as a pioneering force in crypto finance.
To empower individuals to take control of speculation and market creation by building accessible, engaging, and lucrative prediction market platforms that bridge the gap between finance and viral trends.
Nick believes in the power of decentralized, open-market speculation as a transformative force for both financial opportunity and community-driven innovation. He values transparency, early adoption, and the democratization of market access, where anyone can profit and participate regardless of their audience size or background.
A visionary entrepreneur with the ability to combine technical innovation and market savvy, Nick excels at rallying support for breakthrough ideas and inspiring others to engage actively in prediction markets.
His intense focus on niche prediction market jargon and complex concepts may sometimes alienate casual followers or newcomers who find the details overwhelming.
To grow his audience on X, Nick should simplify his messaging and occasionally share beginner-friendly content or relatable stories that demystify prediction markets. Leveraging more multimedia—such as quick explainer videos or market highlight reels—could also boost engagement and expand his reach beyond the core crypto community.
Nick has helped raise $3.5 million for Melee Markets, aiming to pioneer 'Viral Markets' that reward users for both predicting outcomes and the popularity growth of markets themselves.
Serving Jesus ✝️ | Self Learner
Sharing my real iOS dev journey — the fails, the wins, what working, & what’s not.
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Go into debt if you have to.\n\nSo many opportunities to learn and make money. Like this one:\n\nBuy Cuomo YES on Polymarket at 5.5c\nBuy Cuomo No on Kalshi at 93c\nLock in profits on a market that will likely resolve tonight.\n\nIts a pretty liquid market, I'm surprised to see this large of a spread. Any idea why it's there? 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We call them Viral Markets.\n\nAnyone will be able to create a prediction market or opinion market on any topic and earn a % of the volume they generate. This creates a system where anyone, whether they have an existing audience or not, can make money by asking questions about events and viral moments.\n\nTraders not only speculate on the likelihood of an outcome, but also the growth in popularity of a market. This gives users the opportunity to make massive returns by being both early to a market and selecting the right outcome.\n\nThank you to everyone that has helped to get Melee to this point, including everyone on the Melee team, all who have given feedback, and anyone who has given us the time to pitch and refine the product.\nIf you’re interested to trade, create, or build on Melee, please reach out.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null},{"bookmarked":false,"display_text_range":[0,53],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1977748305166696644","view_count":30560,"bookmark_count":52,"created_at":1760366915000,"favorite_count":485,"quote_count":6,"reply_count":82,"retweet_count":23,"user_id_str":"1159842187678494725","conversation_id_str":"1977748305166696644","full_text":"Prediction Markets are 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I read the paper so you don't have to.\n\nHere are the highlights (my takes are at the end):\n\n1. An estimated 25% of Polymarket's volume all-time resembles wash trading.\n\n- Reached a high of 60% of total weekly exchange volume in December 2024\n- Reached a low of 5% of volume in May 2025\n- 14% of wallets on the platform were flagged\n\nVolume by Category:\nCrypto - 3%\nPolitics - 12%\nElections - 17%\nSports - 45%\n\n2. Wash trading activity has spiked in anticipation of the $POLY token\n\nAfter the Polymarket token was teased on October 8th, daily volume jumped up substantially. In that same time, the amount of wash trading identified also rose.\n\n3. Most volume was done on low-value, low probability contracts.\n\nThe center chart depicting the Average buy/sell price shows the majority of wash trading happens in contracts that are near $0. This is a common strategy that allows users to get a high notional volume without risking much money.\n\nIf a user buys 1000 contracts that are worth .1c ($0.001) each, they are spending $1. But because each contract can resolve to $1, the the notional value of the contracts they traded is $1000.\n\nThere are many legitimate trading strategies that can be done in low probability outcomes, but if you're an airdrop farmer who is optimizing for notional volume, this is the place to be.\n\nMy takes:\n\n1. Thats it?\n\n25% of the volume being from wash trading means 75% of the billions of dollars transacted on Polymarket are real users taking real positions.\n\n2. Fees solve all\n\nWhat matters isn't how much volume is on your platform, but how much volume is monetizable. Right now there is no cost to trading. Once fees are implemented, the ratio of real volume to farming volume will improve.\n\nA fee of almost any size on low value contracts would eliminate that strategy immediately, addressing a large portion of this volume.\n\n3. Headlines make it seem worse than it is\n\nMaybe crypto has poisoned my view on this, but typically wash trading is done as a deliberate attempt to massively overstate volume by a malicious team. There's no indication the polymarket team was the one creating this volume or asking others to do this volume. Beyond that, polymarket's volume could be 75% of what it is today and the market's interpretation of their success would likely be unchanged.\n\nWhen there is an incentive to get volume, users will attempt to get volume. Every platform has some form of incentive for volume either via points/token or direct rebates for providing liquidity that help improve the experience for real users on the platform.\n\nOverall, wash trading of course is an issue and should not be considered when calculating a platform's volume. 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I read the paper so you don't have to.\n\nHere are the highlights (my takes are at the end):\n\n1. An estimated 25% of Polymarket's volume all-time resembles wash trading.\n\n- Reached a high of 60% of total weekly exchange volume in December 2024\n- Reached a low of 5% of volume in May 2025\n- 14% of wallets on the platform were flagged\n\nVolume by Category:\nCrypto - 3%\nPolitics - 12%\nElections - 17%\nSports - 45%\n\n2. Wash trading activity has spiked in anticipation of the $POLY token\n\nAfter the Polymarket token was teased on October 8th, daily volume jumped up substantially. In that same time, the amount of wash trading identified also rose.\n\n3. Most volume was done on low-value, low probability contracts.\n\nThe center chart depicting the Average buy/sell price shows the majority of wash trading happens in contracts that are near $0. This is a common strategy that allows users to get a high notional volume without risking much money.\n\nIf a user buys 1000 contracts that are worth .1c ($0.001) each, they are spending $1. But because each contract can resolve to $1, the the notional value of the contracts they traded is $1000.\n\nThere are many legitimate trading strategies that can be done in low probability outcomes, but if you're an airdrop farmer who is optimizing for notional volume, this is the place to be.\n\nMy takes:\n\n1. Thats it?\n\n25% of the volume being from wash trading means 75% of the billions of dollars transacted on Polymarket are real users taking real positions.\n\n2. Fees solve all\n\nWhat matters isn't how much volume is on your platform, but how much volume is monetizable. Right now there is no cost to trading. Once fees are implemented, the ratio of real volume to farming volume will improve.\n\nA fee of almost any size on low value contracts would eliminate that strategy immediately, addressing a large portion of this volume.\n\n3. Headlines make it seem worse than it is\n\nMaybe crypto has poisoned my view on this, but typically wash trading is done as a deliberate attempt to massively overstate volume by a malicious team. There's no indication the polymarket team was the one creating this volume or asking others to do this volume. Beyond that, polymarket's volume could be 75% of what it is today and the market's interpretation of their success would likely be unchanged.\n\nWhen there is an incentive to get volume, users will attempt to get volume. Every platform has some form of incentive for volume either via points/token or direct rebates for providing liquidity that help improve the experience for real users on the platform.\n\nOverall, wash trading of course is an issue and should not be considered when calculating a platform's volume. 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Go into debt if you have to.\n\nSo many opportunities to learn and make money. Like this one:\n\nBuy Cuomo YES on Polymarket at 5.5c\nBuy Cuomo No on Kalshi at 93c\nLock in profits on a market that will likely resolve tonight.\n\nIts a pretty liquid market, I'm surprised to see this large of a spread. Any idea why it's there? 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Polymarket have wash trading? I read the paper so you don't have to.\n\nHere are the highlights (my takes are at the end):\n\n1. An estimated 25% of Polymarket's volume all-time resembles wash trading.\n\n- Reached a high of 60% of total weekly exchange volume in December 2024\n- Reached a low of 5% of volume in May 2025\n- 14% of wallets on the platform were flagged\n\nVolume by Category:\nCrypto - 3%\nPolitics - 12%\nElections - 17%\nSports - 45%\n\n2. Wash trading activity has spiked in anticipation of the $POLY token\n\nAfter the Polymarket token was teased on October 8th, daily volume jumped up substantially. In that same time, the amount of wash trading identified also rose.\n\n3. Most volume was done on low-value, low probability contracts.\n\nThe center chart depicting the Average buy/sell price shows the majority of wash trading happens in contracts that are near $0. This is a common strategy that allows users to get a high notional volume without risking much money.\n\nIf a user buys 1000 contracts that are worth .1c ($0.001) each, they are spending $1. But because each contract can resolve to $1, the the notional value of the contracts they traded is $1000.\n\nThere are many legitimate trading strategies that can be done in low probability outcomes, but if you're an airdrop farmer who is optimizing for notional volume, this is the place to be.\n\nMy takes:\n\n1. Thats it?\n\n25% of the volume being from wash trading means 75% of the billions of dollars transacted on Polymarket are real users taking real positions.\n\n2. Fees solve all\n\nWhat matters isn't how much volume is on your platform, but how much volume is monetizable. Right now there is no cost to trading. Once fees are implemented, the ratio of real volume to farming volume will improve.\n\nA fee of almost any size on low value contracts would eliminate that strategy immediately, addressing a large portion of this volume.\n\n3. Headlines make it seem worse than it is\n\nMaybe crypto has poisoned my view on this, but typically wash trading is done as a deliberate attempt to massively overstate volume by a malicious team. There's no indication the polymarket team was the one creating this volume or asking others to do this volume. Beyond that, polymarket's volume could be 75% of what it is today and the market's interpretation of their success would likely be unchanged.\n\nWhen there is an incentive to get volume, users will attempt to get volume. Every platform has some form of incentive for volume either via points/token or direct rebates for providing liquidity that help improve the experience for real users on the platform.\n\nOverall, wash trading of course is an issue and should not be considered when calculating a platform's volume. But most people's kneejerk reaction to the headlines will probably overstate the size of polymarket's issue in particular.\n\nOutstanding questions:\n\nHow should volume on prediction markets be calculated?\n\nWash trading and volume farming should be excluded, but its difficult to identify them with a high degree of certainty.\n\nMore importantly, is notional volume the right way to calculate it?\n\nAs an industry I believe notional volume should be replaced by considering the real amount of money a user is transacting, not the potential value of their contracts.\n\nI'd love to hear your reactions to the paper and your thoughts on how volume on prediction markets can be calculated more accurately.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-09","value":0,"startTime":1762560000000,"endTime":1762646400000,"tweets":[]},{"label":"2025-11-10","value":0,"startTime":1762646400000,"endTime":1762732800000,"tweets":[]},{"label":"2025-11-11","value":7,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987949918351507908","quoted_status_permalink":{"url":"https://t.co/bNW1hcHbjA","expanded":"https://twitter.com/hyperreal_nick/status/1987949918351507908","display":"x.com/hyperreal_nick…"},"retweeted":false,"fact_check":null,"id":"1987987464477437975","view_count":14564,"bookmark_count":89,"created_at":1762808121000,"favorite_count":82,"quote_count":2,"reply_count":7,"retweet_count":5,"user_id_str":"1159842187678494725","conversation_id_str":"1987987464477437975","full_text":"This article is worth reading. Here's my favorite excerpt:\n\n\"These five problems — liquidity, discovery, expression, creation, resolution — are interconnected. Solve liquidity and you make markets more attractive, which improves discovery. Better discovery brings more users, which makes permissionless creation viable. More markets mean more need for robust oracles. It’s a system, and right now, the system has bottlenecks.\n\nBut here’s the opportunity: the incumbents are locked into their models. Polymarket and Kalshi have built successful businesses on top of certain assumptions about how prediction markets should work. They’re optimizing within constraints. The next generation of builders has the luxury of ignoring those constraints entirely.\n\nMelee can experiment with bonding curves because they’re not trying to be Polymarket. Flipr can embed leverage into social feeds because they don’t need regulatory approval in the U.S. Seda can spin up perps based on continuous data streams because they’re not beholden to binary resolution.\n\nThis is where the alpha is. Not in replicating what already exists, but in attacking the foundational problems directly. These five problems are table stakes. The platforms that solve liquidity, discovery, and resolution infrastructure won’t just gain market share — they’ll unlock the full potential of prediction markets as a coordination mechanism.\n\n2024 proved prediction markets can work at scale. 2026 will prove they can work everywhere.\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-12","value":0,"startTime":1762819200000,"endTime":1762905600000,"tweets":[]},{"label":"2025-11-13","value":0,"startTime":1762905600000,"endTime":1762992000000,"tweets":[]},{"label":"2025-11-14","value":0,"startTime":1762992000000,"endTime":1763078400000,"tweets":[]},{"label":"2025-11-15","value":6,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1989340604568846377","view_count":37,"bookmark_count":0,"created_at":1763130734000,"favorite_count":2,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1159842187678494725","conversation_id_str":"1989340604568846377","full_text":"Can someone clarify this for me?\n\nPrizepicks - working with both kalshi and polymarket\nNHL - Both are the “official partner”\n\nWhat are these deals? NHL can make more sense to have multiple partners if a partner is allowed to use the official names of NHL teams.\n\nBut what about prizepicks?\n\nAre they surfacing both polymarket and kalshi markets in their app? Is one platform being shown in one place (player props) and the other in another (single game 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Polymarket have wash trading? I read the paper so you don't have to.\n\nHere are the highlights (my takes are at the end):\n\n1. An estimated 25% of Polymarket's volume all-time resembles wash trading.\n\n- Reached a high of 60% of total weekly exchange volume in December 2024\n- Reached a low of 5% of volume in May 2025\n- 14% of wallets on the platform were flagged\n\nVolume by Category:\nCrypto - 3%\nPolitics - 12%\nElections - 17%\nSports - 45%\n\n2. Wash trading activity has spiked in anticipation of the $POLY token\n\nAfter the Polymarket token was teased on October 8th, daily volume jumped up substantially. In that same time, the amount of wash trading identified also rose.\n\n3. Most volume was done on low-value, low probability contracts.\n\nThe center chart depicting the Average buy/sell price shows the majority of wash trading happens in contracts that are near $0. This is a common strategy that allows users to get a high notional volume without risking much money.\n\nIf a user buys 1000 contracts that are worth .1c ($0.001) each, they are spending $1. But because each contract can resolve to $1, the the notional value of the contracts they traded is $1000.\n\nThere are many legitimate trading strategies that can be done in low probability outcomes, but if you're an airdrop farmer who is optimizing for notional volume, this is the place to be.\n\nMy takes:\n\n1. Thats it?\n\n25% of the volume being from wash trading means 75% of the billions of dollars transacted on Polymarket are real users taking real positions.\n\n2. Fees solve all\n\nWhat matters isn't how much volume is on your platform, but how much volume is monetizable. Right now there is no cost to trading. Once fees are implemented, the ratio of real volume to farming volume will improve.\n\nA fee of almost any size on low value contracts would eliminate that strategy immediately, addressing a large portion of this volume.\n\n3. Headlines make it seem worse than it is\n\nMaybe crypto has poisoned my view on this, but typically wash trading is done as a deliberate attempt to massively overstate volume by a malicious team. There's no indication the polymarket team was the one creating this volume or asking others to do this volume. Beyond that, polymarket's volume could be 75% of what it is today and the market's interpretation of their success would likely be unchanged.\n\nWhen there is an incentive to get volume, users will attempt to get volume. Every platform has some form of incentive for volume either via points/token or direct rebates for providing liquidity that help improve the experience for real users on the platform.\n\nOverall, wash trading of course is an issue and should not be considered when calculating a platform's volume. But most people's kneejerk reaction to the headlines will probably overstate the size of polymarket's issue in particular.\n\nOutstanding questions:\n\nHow should volume on prediction markets be calculated?\n\nWash trading and volume farming should be excluded, but its difficult to identify them with a high degree of certainty.\n\nMore importantly, is notional volume the right way to calculate it?\n\nAs an industry I believe notional volume should be replaced by considering the real amount of money a user is transacting, not the potential value of their contracts.\n\nI'd love to hear your reactions to the paper and your thoughts on how volume on prediction markets can be calculated more accurately.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-09","value":0,"startTime":1762560000000,"endTime":1762646400000,"tweets":[]},{"label":"2025-11-10","value":0,"startTime":1762646400000,"endTime":1762732800000,"tweets":[]},{"label":"2025-11-11","value":89,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987949918351507908","quoted_status_permalink":{"url":"https://t.co/bNW1hcHbjA","expanded":"https://twitter.com/hyperreal_nick/status/1987949918351507908","display":"x.com/hyperreal_nick…"},"retweeted":false,"fact_check":null,"id":"1987987464477437975","view_count":14564,"bookmark_count":89,"created_at":1762808121000,"favorite_count":82,"quote_count":2,"reply_count":7,"retweet_count":5,"user_id_str":"1159842187678494725","conversation_id_str":"1987987464477437975","full_text":"This article is worth reading. Here's my favorite excerpt:\n\n\"These five problems — liquidity, discovery, expression, creation, resolution — are interconnected. Solve liquidity and you make markets more attractive, which improves discovery. Better discovery brings more users, which makes permissionless creation viable. More markets mean more need for robust oracles. It’s a system, and right now, the system has bottlenecks.\n\nBut here’s the opportunity: the incumbents are locked into their models. Polymarket and Kalshi have built successful businesses on top of certain assumptions about how prediction markets should work. They’re optimizing within constraints. The next generation of builders has the luxury of ignoring those constraints entirely.\n\nMelee can experiment with bonding curves because they’re not trying to be Polymarket. Flipr can embed leverage into social feeds because they don’t need regulatory approval in the U.S. Seda can spin up perps based on continuous data streams because they’re not beholden to binary resolution.\n\nThis is where the alpha is. Not in replicating what already exists, but in attacking the foundational problems directly. These five problems are table stakes. The platforms that solve liquidity, discovery, and resolution infrastructure won’t just gain market share — they’ll unlock the full potential of prediction markets as a coordination mechanism.\n\n2024 proved prediction markets can work at scale. 2026 will prove they can work everywhere.\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-12","value":0,"startTime":1762819200000,"endTime":1762905600000,"tweets":[]},{"label":"2025-11-13","value":0,"startTime":1762905600000,"endTime":1762992000000,"tweets":[]},{"label":"2025-11-14","value":0,"startTime":1762992000000,"endTime":1763078400000,"tweets":[]},{"label":"2025-11-15","value":3,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1989340604568846377","view_count":37,"bookmark_count":0,"created_at":1763130734000,"favorite_count":2,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1159842187678494725","conversation_id_str":"1989340604568846377","full_text":"Can someone clarify this for me?\n\nPrizepicks - working with both kalshi and polymarket\nNHL - Both are the “official partner”\n\nWhat are these deals? NHL can make more sense to have multiple partners if a partner is allowed to use the official names of NHL teams.\n\nBut what about prizepicks?\n\nAre they surfacing both polymarket and kalshi markets in their app? Is one platform being shown in one place (player props) and the other in another (single game 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Polymarket have wash trading? I read the paper so you don't have to.\n\nHere are the highlights (my takes are at the end):\n\n1. An estimated 25% of Polymarket's volume all-time resembles wash trading.\n\n- Reached a high of 60% of total weekly exchange volume in December 2024\n- Reached a low of 5% of volume in May 2025\n- 14% of wallets on the platform were flagged\n\nVolume by Category:\nCrypto - 3%\nPolitics - 12%\nElections - 17%\nSports - 45%\n\n2. Wash trading activity has spiked in anticipation of the $POLY token\n\nAfter the Polymarket token was teased on October 8th, daily volume jumped up substantially. In that same time, the amount of wash trading identified also rose.\n\n3. Most volume was done on low-value, low probability contracts.\n\nThe center chart depicting the Average buy/sell price shows the majority of wash trading happens in contracts that are near $0. This is a common strategy that allows users to get a high notional volume without risking much money.\n\nIf a user buys 1000 contracts that are worth .1c ($0.001) each, they are spending $1. But because each contract can resolve to $1, the the notional value of the contracts they traded is $1000.\n\nThere are many legitimate trading strategies that can be done in low probability outcomes, but if you're an airdrop farmer who is optimizing for notional volume, this is the place to be.\n\nMy takes:\n\n1. Thats it?\n\n25% of the volume being from wash trading means 75% of the billions of dollars transacted on Polymarket are real users taking real positions.\n\n2. Fees solve all\n\nWhat matters isn't how much volume is on your platform, but how much volume is monetizable. Right now there is no cost to trading. Once fees are implemented, the ratio of real volume to farming volume will improve.\n\nA fee of almost any size on low value contracts would eliminate that strategy immediately, addressing a large portion of this volume.\n\n3. Headlines make it seem worse than it is\n\nMaybe crypto has poisoned my view on this, but typically wash trading is done as a deliberate attempt to massively overstate volume by a malicious team. There's no indication the polymarket team was the one creating this volume or asking others to do this volume. Beyond that, polymarket's volume could be 75% of what it is today and the market's interpretation of their success would likely be unchanged.\n\nWhen there is an incentive to get volume, users will attempt to get volume. Every platform has some form of incentive for volume either via points/token or direct rebates for providing liquidity that help improve the experience for real users on the platform.\n\nOverall, wash trading of course is an issue and should not be considered when calculating a platform's volume. But most people's kneejerk reaction to the headlines will probably overstate the size of polymarket's issue in particular.\n\nOutstanding questions:\n\nHow should volume on prediction markets be calculated?\n\nWash trading and volume farming should be excluded, but its difficult to identify them with a high degree of certainty.\n\nMore importantly, is notional volume the right way to calculate it?\n\nAs an industry I believe notional volume should be replaced by considering the real amount of money a user is transacting, not the potential value of their contracts.\n\nI'd love to hear your reactions to the paper and your thoughts on how volume on prediction markets can be calculated more accurately.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-09","value":0,"startTime":1762560000000,"endTime":1762646400000,"tweets":[]},{"label":"2025-11-10","value":0,"startTime":1762646400000,"endTime":1762732800000,"tweets":[]},{"label":"2025-11-11","value":5,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987949918351507908","quoted_status_permalink":{"url":"https://t.co/bNW1hcHbjA","expanded":"https://twitter.com/hyperreal_nick/status/1987949918351507908","display":"x.com/hyperreal_nick…"},"retweeted":false,"fact_check":null,"id":"1987987464477437975","view_count":14564,"bookmark_count":89,"created_at":1762808121000,"favorite_count":82,"quote_count":2,"reply_count":7,"retweet_count":5,"user_id_str":"1159842187678494725","conversation_id_str":"1987987464477437975","full_text":"This article is worth reading. Here's my favorite excerpt:\n\n\"These five problems — liquidity, discovery, expression, creation, resolution — are interconnected. Solve liquidity and you make markets more attractive, which improves discovery. Better discovery brings more users, which makes permissionless creation viable. More markets mean more need for robust oracles. It’s a system, and right now, the system has bottlenecks.\n\nBut here’s the opportunity: the incumbents are locked into their models. Polymarket and Kalshi have built successful businesses on top of certain assumptions about how prediction markets should work. They’re optimizing within constraints. The next generation of builders has the luxury of ignoring those constraints entirely.\n\nMelee can experiment with bonding curves because they’re not trying to be Polymarket. Flipr can embed leverage into social feeds because they don’t need regulatory approval in the U.S. Seda can spin up perps based on continuous data streams because they’re not beholden to binary resolution.\n\nThis is where the alpha is. Not in replicating what already exists, but in attacking the foundational problems directly. These five problems are table stakes. The platforms that solve liquidity, discovery, and resolution infrastructure won’t just gain market share — they’ll unlock the full potential of prediction markets as a coordination mechanism.\n\n2024 proved prediction markets can work at scale. 2026 will prove they can work everywhere.\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-12","value":0,"startTime":1762819200000,"endTime":1762905600000,"tweets":[]},{"label":"2025-11-13","value":0,"startTime":1762905600000,"endTime":1762992000000,"tweets":[]},{"label":"2025-11-14","value":0,"startTime":1762992000000,"endTime":1763078400000,"tweets":[]},{"label":"2025-11-15","value":0,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1989340604568846377","view_count":37,"bookmark_count":0,"created_at":1763130734000,"favorite_count":2,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1159842187678494725","conversation_id_str":"1989340604568846377","full_text":"Can someone clarify this for me?\n\nPrizepicks - working with both kalshi and polymarket\nNHL - Both are the “official partner”\n\nWhat are these deals? NHL can make more sense to have multiple partners if a partner is allowed to use the official names of NHL teams.\n\nBut what about prizepicks?\n\nAre they surfacing both polymarket and kalshi markets in their app? Is one platform being shown in one place (player props) and the other in another (single game 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Polymarket have wash trading? I read the paper so you don't have to.\n\nHere are the highlights (my takes are at the end):\n\n1. An estimated 25% of Polymarket's volume all-time resembles wash trading.\n\n- Reached a high of 60% of total weekly exchange volume in December 2024\n- Reached a low of 5% of volume in May 2025\n- 14% of wallets on the platform were flagged\n\nVolume by Category:\nCrypto - 3%\nPolitics - 12%\nElections - 17%\nSports - 45%\n\n2. Wash trading activity has spiked in anticipation of the $POLY token\n\nAfter the Polymarket token was teased on October 8th, daily volume jumped up substantially. In that same time, the amount of wash trading identified also rose.\n\n3. Most volume was done on low-value, low probability contracts.\n\nThe center chart depicting the Average buy/sell price shows the majority of wash trading happens in contracts that are near $0. This is a common strategy that allows users to get a high notional volume without risking much money.\n\nIf a user buys 1000 contracts that are worth .1c ($0.001) each, they are spending $1. But because each contract can resolve to $1, the the notional value of the contracts they traded is $1000.\n\nThere are many legitimate trading strategies that can be done in low probability outcomes, but if you're an airdrop farmer who is optimizing for notional volume, this is the place to be.\n\nMy takes:\n\n1. Thats it?\n\n25% of the volume being from wash trading means 75% of the billions of dollars transacted on Polymarket are real users taking real positions.\n\n2. Fees solve all\n\nWhat matters isn't how much volume is on your platform, but how much volume is monetizable. Right now there is no cost to trading. Once fees are implemented, the ratio of real volume to farming volume will improve.\n\nA fee of almost any size on low value contracts would eliminate that strategy immediately, addressing a large portion of this volume.\n\n3. Headlines make it seem worse than it is\n\nMaybe crypto has poisoned my view on this, but typically wash trading is done as a deliberate attempt to massively overstate volume by a malicious team. There's no indication the polymarket team was the one creating this volume or asking others to do this volume. Beyond that, polymarket's volume could be 75% of what it is today and the market's interpretation of their success would likely be unchanged.\n\nWhen there is an incentive to get volume, users will attempt to get volume. Every platform has some form of incentive for volume either via points/token or direct rebates for providing liquidity that help improve the experience for real users on the platform.\n\nOverall, wash trading of course is an issue and should not be considered when calculating a platform's volume. But most people's kneejerk reaction to the headlines will probably overstate the size of polymarket's issue in particular.\n\nOutstanding questions:\n\nHow should volume on prediction markets be calculated?\n\nWash trading and volume farming should be excluded, but its difficult to identify them with a high degree of certainty.\n\nMore importantly, is notional volume the right way to calculate it?\n\nAs an industry I believe notional volume should be replaced by considering the real amount of money a user is transacting, not the potential value of their contracts.\n\nI'd love to hear your reactions to the paper and your thoughts on how volume on prediction markets can be calculated more accurately.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-09","value":0,"startTime":1762560000000,"endTime":1762646400000,"tweets":[]},{"label":"2025-11-10","value":0,"startTime":1762646400000,"endTime":1762732800000,"tweets":[]},{"label":"2025-11-11","value":82,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987949918351507908","quoted_status_permalink":{"url":"https://t.co/bNW1hcHbjA","expanded":"https://twitter.com/hyperreal_nick/status/1987949918351507908","display":"x.com/hyperreal_nick…"},"retweeted":false,"fact_check":null,"id":"1987987464477437975","view_count":14564,"bookmark_count":89,"created_at":1762808121000,"favorite_count":82,"quote_count":2,"reply_count":7,"retweet_count":5,"user_id_str":"1159842187678494725","conversation_id_str":"1987987464477437975","full_text":"This article is worth reading. Here's my favorite excerpt:\n\n\"These five problems — liquidity, discovery, expression, creation, resolution — are interconnected. Solve liquidity and you make markets more attractive, which improves discovery. Better discovery brings more users, which makes permissionless creation viable. More markets mean more need for robust oracles. It’s a system, and right now, the system has bottlenecks.\n\nBut here’s the opportunity: the incumbents are locked into their models. Polymarket and Kalshi have built successful businesses on top of certain assumptions about how prediction markets should work. They’re optimizing within constraints. The next generation of builders has the luxury of ignoring those constraints entirely.\n\nMelee can experiment with bonding curves because they’re not trying to be Polymarket. Flipr can embed leverage into social feeds because they don’t need regulatory approval in the U.S. Seda can spin up perps based on continuous data streams because they’re not beholden to binary resolution.\n\nThis is where the alpha is. Not in replicating what already exists, but in attacking the foundational problems directly. These five problems are table stakes. The platforms that solve liquidity, discovery, and resolution infrastructure won’t just gain market share — they’ll unlock the full potential of prediction markets as a coordination mechanism.\n\n2024 proved prediction markets can work at scale. 2026 will prove they can work everywhere.\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-12","value":0,"startTime":1762819200000,"endTime":1762905600000,"tweets":[]},{"label":"2025-11-13","value":0,"startTime":1762905600000,"endTime":1762992000000,"tweets":[]},{"label":"2025-11-14","value":0,"startTime":1762992000000,"endTime":1763078400000,"tweets":[]},{"label":"2025-11-15","value":25,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1989340604568846377","view_count":37,"bookmark_count":0,"created_at":1763130734000,"favorite_count":2,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1159842187678494725","conversation_id_str":"1989340604568846377","full_text":"Can someone clarify this for me?\n\nPrizepicks - working with both kalshi and polymarket\nNHL - Both are the “official partner”\n\nWhat are these deals? NHL can make more sense to have multiple partners if a partner is allowed to use the official names of NHL teams.\n\nBut what about prizepicks?\n\nAre they surfacing both polymarket and kalshi markets in their app? Is one platform being shown in one place (player props) and the other in another (single game 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Polymarket have wash trading? I read the paper so you don't have to.\n\nHere are the highlights (my takes are at the end):\n\n1. An estimated 25% of Polymarket's volume all-time resembles wash trading.\n\n- Reached a high of 60% of total weekly exchange volume in December 2024\n- Reached a low of 5% of volume in May 2025\n- 14% of wallets on the platform were flagged\n\nVolume by Category:\nCrypto - 3%\nPolitics - 12%\nElections - 17%\nSports - 45%\n\n2. Wash trading activity has spiked in anticipation of the $POLY token\n\nAfter the Polymarket token was teased on October 8th, daily volume jumped up substantially. In that same time, the amount of wash trading identified also rose.\n\n3. Most volume was done on low-value, low probability contracts.\n\nThe center chart depicting the Average buy/sell price shows the majority of wash trading happens in contracts that are near $0. This is a common strategy that allows users to get a high notional volume without risking much money.\n\nIf a user buys 1000 contracts that are worth .1c ($0.001) each, they are spending $1. But because each contract can resolve to $1, the the notional value of the contracts they traded is $1000.\n\nThere are many legitimate trading strategies that can be done in low probability outcomes, but if you're an airdrop farmer who is optimizing for notional volume, this is the place to be.\n\nMy takes:\n\n1. Thats it?\n\n25% of the volume being from wash trading means 75% of the billions of dollars transacted on Polymarket are real users taking real positions.\n\n2. Fees solve all\n\nWhat matters isn't how much volume is on your platform, but how much volume is monetizable. Right now there is no cost to trading. Once fees are implemented, the ratio of real volume to farming volume will improve.\n\nA fee of almost any size on low value contracts would eliminate that strategy immediately, addressing a large portion of this volume.\n\n3. Headlines make it seem worse than it is\n\nMaybe crypto has poisoned my view on this, but typically wash trading is done as a deliberate attempt to massively overstate volume by a malicious team. There's no indication the polymarket team was the one creating this volume or asking others to do this volume. Beyond that, polymarket's volume could be 75% of what it is today and the market's interpretation of their success would likely be unchanged.\n\nWhen there is an incentive to get volume, users will attempt to get volume. Every platform has some form of incentive for volume either via points/token or direct rebates for providing liquidity that help improve the experience for real users on the platform.\n\nOverall, wash trading of course is an issue and should not be considered when calculating a platform's volume. But most people's kneejerk reaction to the headlines will probably overstate the size of polymarket's issue in particular.\n\nOutstanding questions:\n\nHow should volume on prediction markets be calculated?\n\nWash trading and volume farming should be excluded, but its difficult to identify them with a high degree of certainty.\n\nMore importantly, is notional volume the right way to calculate it?\n\nAs an industry I believe notional volume should be replaced by considering the real amount of money a user is transacting, not the potential value of their contracts.\n\nI'd love to hear your reactions to the paper and your thoughts on how volume on prediction markets can be calculated more accurately.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-09","value":0,"startTime":1762560000000,"endTime":1762646400000,"tweets":[]},{"label":"2025-11-10","value":0,"startTime":1762646400000,"endTime":1762732800000,"tweets":[]},{"label":"2025-11-11","value":14564,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987949918351507908","quoted_status_permalink":{"url":"https://t.co/bNW1hcHbjA","expanded":"https://twitter.com/hyperreal_nick/status/1987949918351507908","display":"x.com/hyperreal_nick…"},"retweeted":false,"fact_check":null,"id":"1987987464477437975","view_count":14564,"bookmark_count":89,"created_at":1762808121000,"favorite_count":82,"quote_count":2,"reply_count":7,"retweet_count":5,"user_id_str":"1159842187678494725","conversation_id_str":"1987987464477437975","full_text":"This article is worth reading. Here's my favorite excerpt:\n\n\"These five problems — liquidity, discovery, expression, creation, resolution — are interconnected. Solve liquidity and you make markets more attractive, which improves discovery. Better discovery brings more users, which makes permissionless creation viable. More markets mean more need for robust oracles. It’s a system, and right now, the system has bottlenecks.\n\nBut here’s the opportunity: the incumbents are locked into their models. Polymarket and Kalshi have built successful businesses on top of certain assumptions about how prediction markets should work. They’re optimizing within constraints. The next generation of builders has the luxury of ignoring those constraints entirely.\n\nMelee can experiment with bonding curves because they’re not trying to be Polymarket. Flipr can embed leverage into social feeds because they don’t need regulatory approval in the U.S. Seda can spin up perps based on continuous data streams because they’re not beholden to binary resolution.\n\nThis is where the alpha is. Not in replicating what already exists, but in attacking the foundational problems directly. These five problems are table stakes. The platforms that solve liquidity, discovery, and resolution infrastructure won’t just gain market share — they’ll unlock the full potential of prediction markets as a coordination mechanism.\n\n2024 proved prediction markets can work at scale. 2026 will prove they can work everywhere.\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-12","value":0,"startTime":1762819200000,"endTime":1762905600000,"tweets":[]},{"label":"2025-11-13","value":0,"startTime":1762905600000,"endTime":1762992000000,"tweets":[]},{"label":"2025-11-14","value":0,"startTime":1762992000000,"endTime":1763078400000,"tweets":[]},{"label":"2025-11-15","value":5834,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1989340604568846377","view_count":37,"bookmark_count":0,"created_at":1763130734000,"favorite_count":2,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1159842187678494725","conversation_id_str":"1989340604568846377","full_text":"Can someone clarify this for me?\n\nPrizepicks - working with both kalshi and polymarket\nNHL - Both are the “official partner”\n\nWhat are these deals? 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Go into debt if you have to.\n\nSo many opportunities to learn and make money. Like this one:\n\nBuy Cuomo YES on Polymarket at 5.5c\nBuy Cuomo No on Kalshi at 93c\nLock in profits on a market that will likely resolve tonight.\n\nIts a pretty liquid market, I'm surprised to see this large of a spread. Any idea why it's there? 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Polymarket have wash trading? I read the paper so you don't have to.\n\nHere are the highlights (my takes are at the end):\n\n1. An estimated 25% of Polymarket's volume all-time resembles wash trading.\n\n- Reached a high of 60% of total weekly exchange volume in December 2024\n- Reached a low of 5% of volume in May 2025\n- 14% of wallets on the platform were flagged\n\nVolume by Category:\nCrypto - 3%\nPolitics - 12%\nElections - 17%\nSports - 45%\n\n2. Wash trading activity has spiked in anticipation of the $POLY token\n\nAfter the Polymarket token was teased on October 8th, daily volume jumped up substantially. In that same time, the amount of wash trading identified also rose.\n\n3. Most volume was done on low-value, low probability contracts.\n\nThe center chart depicting the Average buy/sell price shows the majority of wash trading happens in contracts that are near $0. This is a common strategy that allows users to get a high notional volume without risking much money.\n\nIf a user buys 1000 contracts that are worth .1c ($0.001) each, they are spending $1. But because each contract can resolve to $1, the the notional value of the contracts they traded is $1000.\n\nThere are many legitimate trading strategies that can be done in low probability outcomes, but if you're an airdrop farmer who is optimizing for notional volume, this is the place to be.\n\nMy takes:\n\n1. Thats it?\n\n25% of the volume being from wash trading means 75% of the billions of dollars transacted on Polymarket are real users taking real positions.\n\n2. Fees solve all\n\nWhat matters isn't how much volume is on your platform, but how much volume is monetizable. Right now there is no cost to trading. Once fees are implemented, the ratio of real volume to farming volume will improve.\n\nA fee of almost any size on low value contracts would eliminate that strategy immediately, addressing a large portion of this volume.\n\n3. Headlines make it seem worse than it is\n\nMaybe crypto has poisoned my view on this, but typically wash trading is done as a deliberate attempt to massively overstate volume by a malicious team. There's no indication the polymarket team was the one creating this volume or asking others to do this volume. Beyond that, polymarket's volume could be 75% of what it is today and the market's interpretation of their success would likely be unchanged.\n\nWhen there is an incentive to get volume, users will attempt to get volume. Every platform has some form of incentive for volume either via points/token or direct rebates for providing liquidity that help improve the experience for real users on the platform.\n\nOverall, wash trading of course is an issue and should not be considered when calculating a platform's volume. But most people's kneejerk reaction to the headlines will probably overstate the size of polymarket's issue in particular.\n\nOutstanding questions:\n\nHow should volume on prediction markets be calculated?\n\nWash trading and volume farming should be excluded, but its difficult to identify them with a high degree of certainty.\n\nMore importantly, is notional volume the right way to calculate it?\n\nAs an industry I believe notional volume should be replaced by considering the real amount of money a user is transacting, not the potential value of their contracts.\n\nI'd love to hear your reactions to the paper and your thoughts on how volume on prediction markets can be calculated more accurately.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-09","value":0,"startTime":1762560000000,"endTime":1762646400000,"tweets":[]},{"label":"2025-11-10","value":0,"startTime":1762646400000,"endTime":1762732800000,"tweets":[]},{"label":"2025-11-11","value":7,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987949918351507908","quoted_status_permalink":{"url":"https://t.co/bNW1hcHbjA","expanded":"https://twitter.com/hyperreal_nick/status/1987949918351507908","display":"x.com/hyperreal_nick…"},"retweeted":false,"fact_check":null,"id":"1987987464477437975","view_count":14564,"bookmark_count":89,"created_at":1762808121000,"favorite_count":82,"quote_count":2,"reply_count":7,"retweet_count":5,"user_id_str":"1159842187678494725","conversation_id_str":"1987987464477437975","full_text":"This article is worth reading. Here's my favorite excerpt:\n\n\"These five problems — liquidity, discovery, expression, creation, resolution — are interconnected. Solve liquidity and you make markets more attractive, which improves discovery. Better discovery brings more users, which makes permissionless creation viable. More markets mean more need for robust oracles. It’s a system, and right now, the system has bottlenecks.\n\nBut here’s the opportunity: the incumbents are locked into their models. Polymarket and Kalshi have built successful businesses on top of certain assumptions about how prediction markets should work. They’re optimizing within constraints. The next generation of builders has the luxury of ignoring those constraints entirely.\n\nMelee can experiment with bonding curves because they’re not trying to be Polymarket. Flipr can embed leverage into social feeds because they don’t need regulatory approval in the U.S. Seda can spin up perps based on continuous data streams because they’re not beholden to binary resolution.\n\nThis is where the alpha is. Not in replicating what already exists, but in attacking the foundational problems directly. These five problems are table stakes. The platforms that solve liquidity, discovery, and resolution infrastructure won’t just gain market share — they’ll unlock the full potential of prediction markets as a coordination mechanism.\n\n2024 proved prediction markets can work at scale. 2026 will prove they can work everywhere.\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-12","value":0,"startTime":1762819200000,"endTime":1762905600000,"tweets":[]},{"label":"2025-11-13","value":0,"startTime":1762905600000,"endTime":1762992000000,"tweets":[]},{"label":"2025-11-14","value":0,"startTime":1762992000000,"endTime":1763078400000,"tweets":[]},{"label":"2025-11-15","value":6,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1989340604568846377","view_count":37,"bookmark_count":0,"created_at":1763130734000,"favorite_count":2,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1159842187678494725","conversation_id_str":"1989340604568846377","full_text":"Can someone clarify this for me?\n\nPrizepicks - working with both kalshi and polymarket\nNHL - Both are the “official partner”\n\nWhat are these deals? NHL can make more sense to have multiple partners if a partner is allowed to use the official names of NHL teams.\n\nBut what about prizepicks?\n\nAre they surfacing both polymarket and kalshi markets in their app? Is one platform being shown in one place (player props) and the other in another (single game 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Polymarket have wash trading? I read the paper so you don't have to.\n\nHere are the highlights (my takes are at the end):\n\n1. An estimated 25% of Polymarket's volume all-time resembles wash trading.\n\n- Reached a high of 60% of total weekly exchange volume in December 2024\n- Reached a low of 5% of volume in May 2025\n- 14% of wallets on the platform were flagged\n\nVolume by Category:\nCrypto - 3%\nPolitics - 12%\nElections - 17%\nSports - 45%\n\n2. Wash trading activity has spiked in anticipation of the $POLY token\n\nAfter the Polymarket token was teased on October 8th, daily volume jumped up substantially. In that same time, the amount of wash trading identified also rose.\n\n3. Most volume was done on low-value, low probability contracts.\n\nThe center chart depicting the Average buy/sell price shows the majority of wash trading happens in contracts that are near $0. This is a common strategy that allows users to get a high notional volume without risking much money.\n\nIf a user buys 1000 contracts that are worth .1c ($0.001) each, they are spending $1. But because each contract can resolve to $1, the the notional value of the contracts they traded is $1000.\n\nThere are many legitimate trading strategies that can be done in low probability outcomes, but if you're an airdrop farmer who is optimizing for notional volume, this is the place to be.\n\nMy takes:\n\n1. Thats it?\n\n25% of the volume being from wash trading means 75% of the billions of dollars transacted on Polymarket are real users taking real positions.\n\n2. Fees solve all\n\nWhat matters isn't how much volume is on your platform, but how much volume is monetizable. Right now there is no cost to trading. Once fees are implemented, the ratio of real volume to farming volume will improve.\n\nA fee of almost any size on low value contracts would eliminate that strategy immediately, addressing a large portion of this volume.\n\n3. Headlines make it seem worse than it is\n\nMaybe crypto has poisoned my view on this, but typically wash trading is done as a deliberate attempt to massively overstate volume by a malicious team. There's no indication the polymarket team was the one creating this volume or asking others to do this volume. Beyond that, polymarket's volume could be 75% of what it is today and the market's interpretation of their success would likely be unchanged.\n\nWhen there is an incentive to get volume, users will attempt to get volume. Every platform has some form of incentive for volume either via points/token or direct rebates for providing liquidity that help improve the experience for real users on the platform.\n\nOverall, wash trading of course is an issue and should not be considered when calculating a platform's volume. But most people's kneejerk reaction to the headlines will probably overstate the size of polymarket's issue in particular.\n\nOutstanding questions:\n\nHow should volume on prediction markets be calculated?\n\nWash trading and volume farming should be excluded, but its difficult to identify them with a high degree of certainty.\n\nMore importantly, is notional volume the right way to calculate it?\n\nAs an industry I believe notional volume should be replaced by considering the real amount of money a user is transacting, not the potential value of their contracts.\n\nI'd love to hear your reactions to the paper and your thoughts on how volume on prediction markets can be calculated more accurately.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-09","value":0,"startTime":1762560000000,"endTime":1762646400000,"tweets":[]},{"label":"2025-11-10","value":0,"startTime":1762646400000,"endTime":1762732800000,"tweets":[]},{"label":"2025-11-11","value":89,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987949918351507908","quoted_status_permalink":{"url":"https://t.co/bNW1hcHbjA","expanded":"https://twitter.com/hyperreal_nick/status/1987949918351507908","display":"x.com/hyperreal_nick…"},"retweeted":false,"fact_check":null,"id":"1987987464477437975","view_count":14564,"bookmark_count":89,"created_at":1762808121000,"favorite_count":82,"quote_count":2,"reply_count":7,"retweet_count":5,"user_id_str":"1159842187678494725","conversation_id_str":"1987987464477437975","full_text":"This article is worth reading. Here's my favorite excerpt:\n\n\"These five problems — liquidity, discovery, expression, creation, resolution — are interconnected. Solve liquidity and you make markets more attractive, which improves discovery. Better discovery brings more users, which makes permissionless creation viable. More markets mean more need for robust oracles. It’s a system, and right now, the system has bottlenecks.\n\nBut here’s the opportunity: the incumbents are locked into their models. Polymarket and Kalshi have built successful businesses on top of certain assumptions about how prediction markets should work. They’re optimizing within constraints. The next generation of builders has the luxury of ignoring those constraints entirely.\n\nMelee can experiment with bonding curves because they’re not trying to be Polymarket. Flipr can embed leverage into social feeds because they don’t need regulatory approval in the U.S. Seda can spin up perps based on continuous data streams because they’re not beholden to binary resolution.\n\nThis is where the alpha is. Not in replicating what already exists, but in attacking the foundational problems directly. These five problems are table stakes. The platforms that solve liquidity, discovery, and resolution infrastructure won’t just gain market share — they’ll unlock the full potential of prediction markets as a coordination mechanism.\n\n2024 proved prediction markets can work at scale. 2026 will prove they can work everywhere.\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-12","value":0,"startTime":1762819200000,"endTime":1762905600000,"tweets":[]},{"label":"2025-11-13","value":0,"startTime":1762905600000,"endTime":1762992000000,"tweets":[]},{"label":"2025-11-14","value":0,"startTime":1762992000000,"endTime":1763078400000,"tweets":[]},{"label":"2025-11-15","value":3,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1989340604568846377","view_count":37,"bookmark_count":0,"created_at":1763130734000,"favorite_count":2,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1159842187678494725","conversation_id_str":"1989340604568846377","full_text":"Can someone clarify this for me?\n\nPrizepicks - working with both kalshi and polymarket\nNHL - Both are the “official partner”\n\nWhat are these deals? NHL can make more sense to have multiple partners if a partner is allowed to use the official names of NHL teams.\n\nBut what about prizepicks?\n\nAre they surfacing both polymarket and kalshi markets in their app? Is one platform being shown in one place (player props) and the other in another (single game 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Polymarket have wash trading? I read the paper so you don't have to.\n\nHere are the highlights (my takes are at the end):\n\n1. An estimated 25% of Polymarket's volume all-time resembles wash trading.\n\n- Reached a high of 60% of total weekly exchange volume in December 2024\n- Reached a low of 5% of volume in May 2025\n- 14% of wallets on the platform were flagged\n\nVolume by Category:\nCrypto - 3%\nPolitics - 12%\nElections - 17%\nSports - 45%\n\n2. Wash trading activity has spiked in anticipation of the $POLY token\n\nAfter the Polymarket token was teased on October 8th, daily volume jumped up substantially. In that same time, the amount of wash trading identified also rose.\n\n3. Most volume was done on low-value, low probability contracts.\n\nThe center chart depicting the Average buy/sell price shows the majority of wash trading happens in contracts that are near $0. This is a common strategy that allows users to get a high notional volume without risking much money.\n\nIf a user buys 1000 contracts that are worth .1c ($0.001) each, they are spending $1. But because each contract can resolve to $1, the the notional value of the contracts they traded is $1000.\n\nThere are many legitimate trading strategies that can be done in low probability outcomes, but if you're an airdrop farmer who is optimizing for notional volume, this is the place to be.\n\nMy takes:\n\n1. Thats it?\n\n25% of the volume being from wash trading means 75% of the billions of dollars transacted on Polymarket are real users taking real positions.\n\n2. Fees solve all\n\nWhat matters isn't how much volume is on your platform, but how much volume is monetizable. Right now there is no cost to trading. Once fees are implemented, the ratio of real volume to farming volume will improve.\n\nA fee of almost any size on low value contracts would eliminate that strategy immediately, addressing a large portion of this volume.\n\n3. Headlines make it seem worse than it is\n\nMaybe crypto has poisoned my view on this, but typically wash trading is done as a deliberate attempt to massively overstate volume by a malicious team. There's no indication the polymarket team was the one creating this volume or asking others to do this volume. Beyond that, polymarket's volume could be 75% of what it is today and the market's interpretation of their success would likely be unchanged.\n\nWhen there is an incentive to get volume, users will attempt to get volume. Every platform has some form of incentive for volume either via points/token or direct rebates for providing liquidity that help improve the experience for real users on the platform.\n\nOverall, wash trading of course is an issue and should not be considered when calculating a platform's volume. But most people's kneejerk reaction to the headlines will probably overstate the size of polymarket's issue in particular.\n\nOutstanding questions:\n\nHow should volume on prediction markets be calculated?\n\nWash trading and volume farming should be excluded, but its difficult to identify them with a high degree of certainty.\n\nMore importantly, is notional volume the right way to calculate it?\n\nAs an industry I believe notional volume should be replaced by considering the real amount of money a user is transacting, not the potential value of their contracts.\n\nI'd love to hear your reactions to the paper and your thoughts on how volume on prediction markets can be calculated more accurately.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-09","value":0,"startTime":1762560000000,"endTime":1762646400000,"tweets":[]},{"label":"2025-11-10","value":0,"startTime":1762646400000,"endTime":1762732800000,"tweets":[]},{"label":"2025-11-11","value":5,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987949918351507908","quoted_status_permalink":{"url":"https://t.co/bNW1hcHbjA","expanded":"https://twitter.com/hyperreal_nick/status/1987949918351507908","display":"x.com/hyperreal_nick…"},"retweeted":false,"fact_check":null,"id":"1987987464477437975","view_count":14564,"bookmark_count":89,"created_at":1762808121000,"favorite_count":82,"quote_count":2,"reply_count":7,"retweet_count":5,"user_id_str":"1159842187678494725","conversation_id_str":"1987987464477437975","full_text":"This article is worth reading. Here's my favorite excerpt:\n\n\"These five problems — liquidity, discovery, expression, creation, resolution — are interconnected. Solve liquidity and you make markets more attractive, which improves discovery. Better discovery brings more users, which makes permissionless creation viable. More markets mean more need for robust oracles. It’s a system, and right now, the system has bottlenecks.\n\nBut here’s the opportunity: the incumbents are locked into their models. Polymarket and Kalshi have built successful businesses on top of certain assumptions about how prediction markets should work. They’re optimizing within constraints. The next generation of builders has the luxury of ignoring those constraints entirely.\n\nMelee can experiment with bonding curves because they’re not trying to be Polymarket. Flipr can embed leverage into social feeds because they don’t need regulatory approval in the U.S. Seda can spin up perps based on continuous data streams because they’re not beholden to binary resolution.\n\nThis is where the alpha is. Not in replicating what already exists, but in attacking the foundational problems directly. These five problems are table stakes. The platforms that solve liquidity, discovery, and resolution infrastructure won’t just gain market share — they’ll unlock the full potential of prediction markets as a coordination mechanism.\n\n2024 proved prediction markets can work at scale. 2026 will prove they can work everywhere.\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-12","value":0,"startTime":1762819200000,"endTime":1762905600000,"tweets":[]},{"label":"2025-11-13","value":0,"startTime":1762905600000,"endTime":1762992000000,"tweets":[]},{"label":"2025-11-14","value":0,"startTime":1762992000000,"endTime":1763078400000,"tweets":[]},{"label":"2025-11-15","value":0,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1989340604568846377","view_count":37,"bookmark_count":0,"created_at":1763130734000,"favorite_count":2,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1159842187678494725","conversation_id_str":"1989340604568846377","full_text":"Can someone clarify this for me?\n\nPrizepicks - working with both kalshi and polymarket\nNHL - Both are the “official partner”\n\nWhat are these deals? NHL can make more sense to have multiple partners if a partner is allowed to use the official names of NHL teams.\n\nBut what about prizepicks?\n\nAre they surfacing both polymarket and kalshi markets in their app? Is one platform being shown in one place (player props) and the other in another (single game 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Polymarket have wash trading? I read the paper so you don't have to.\n\nHere are the highlights (my takes are at the end):\n\n1. An estimated 25% of Polymarket's volume all-time resembles wash trading.\n\n- Reached a high of 60% of total weekly exchange volume in December 2024\n- Reached a low of 5% of volume in May 2025\n- 14% of wallets on the platform were flagged\n\nVolume by Category:\nCrypto - 3%\nPolitics - 12%\nElections - 17%\nSports - 45%\n\n2. Wash trading activity has spiked in anticipation of the $POLY token\n\nAfter the Polymarket token was teased on October 8th, daily volume jumped up substantially. In that same time, the amount of wash trading identified also rose.\n\n3. Most volume was done on low-value, low probability contracts.\n\nThe center chart depicting the Average buy/sell price shows the majority of wash trading happens in contracts that are near $0. This is a common strategy that allows users to get a high notional volume without risking much money.\n\nIf a user buys 1000 contracts that are worth .1c ($0.001) each, they are spending $1. But because each contract can resolve to $1, the the notional value of the contracts they traded is $1000.\n\nThere are many legitimate trading strategies that can be done in low probability outcomes, but if you're an airdrop farmer who is optimizing for notional volume, this is the place to be.\n\nMy takes:\n\n1. Thats it?\n\n25% of the volume being from wash trading means 75% of the billions of dollars transacted on Polymarket are real users taking real positions.\n\n2. Fees solve all\n\nWhat matters isn't how much volume is on your platform, but how much volume is monetizable. Right now there is no cost to trading. Once fees are implemented, the ratio of real volume to farming volume will improve.\n\nA fee of almost any size on low value contracts would eliminate that strategy immediately, addressing a large portion of this volume.\n\n3. Headlines make it seem worse than it is\n\nMaybe crypto has poisoned my view on this, but typically wash trading is done as a deliberate attempt to massively overstate volume by a malicious team. There's no indication the polymarket team was the one creating this volume or asking others to do this volume. Beyond that, polymarket's volume could be 75% of what it is today and the market's interpretation of their success would likely be unchanged.\n\nWhen there is an incentive to get volume, users will attempt to get volume. Every platform has some form of incentive for volume either via points/token or direct rebates for providing liquidity that help improve the experience for real users on the platform.\n\nOverall, wash trading of course is an issue and should not be considered when calculating a platform's volume. But most people's kneejerk reaction to the headlines will probably overstate the size of polymarket's issue in particular.\n\nOutstanding questions:\n\nHow should volume on prediction markets be calculated?\n\nWash trading and volume farming should be excluded, but its difficult to identify them with a high degree of certainty.\n\nMore importantly, is notional volume the right way to calculate it?\n\nAs an industry I believe notional volume should be replaced by considering the real amount of money a user is transacting, not the potential value of their contracts.\n\nI'd love to hear your reactions to the paper and your thoughts on how volume on prediction markets can be calculated more accurately.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-09","value":0,"startTime":1762560000000,"endTime":1762646400000,"tweets":[]},{"label":"2025-11-10","value":0,"startTime":1762646400000,"endTime":1762732800000,"tweets":[]},{"label":"2025-11-11","value":82,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987949918351507908","quoted_status_permalink":{"url":"https://t.co/bNW1hcHbjA","expanded":"https://twitter.com/hyperreal_nick/status/1987949918351507908","display":"x.com/hyperreal_nick…"},"retweeted":false,"fact_check":null,"id":"1987987464477437975","view_count":14564,"bookmark_count":89,"created_at":1762808121000,"favorite_count":82,"quote_count":2,"reply_count":7,"retweet_count":5,"user_id_str":"1159842187678494725","conversation_id_str":"1987987464477437975","full_text":"This article is worth reading. Here's my favorite excerpt:\n\n\"These five problems — liquidity, discovery, expression, creation, resolution — are interconnected. Solve liquidity and you make markets more attractive, which improves discovery. Better discovery brings more users, which makes permissionless creation viable. More markets mean more need for robust oracles. It’s a system, and right now, the system has bottlenecks.\n\nBut here’s the opportunity: the incumbents are locked into their models. Polymarket and Kalshi have built successful businesses on top of certain assumptions about how prediction markets should work. They’re optimizing within constraints. The next generation of builders has the luxury of ignoring those constraints entirely.\n\nMelee can experiment with bonding curves because they’re not trying to be Polymarket. Flipr can embed leverage into social feeds because they don’t need regulatory approval in the U.S. Seda can spin up perps based on continuous data streams because they’re not beholden to binary resolution.\n\nThis is where the alpha is. Not in replicating what already exists, but in attacking the foundational problems directly. These five problems are table stakes. The platforms that solve liquidity, discovery, and resolution infrastructure won’t just gain market share — they’ll unlock the full potential of prediction markets as a coordination mechanism.\n\n2024 proved prediction markets can work at scale. 2026 will prove they can work everywhere.\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-12","value":0,"startTime":1762819200000,"endTime":1762905600000,"tweets":[]},{"label":"2025-11-13","value":0,"startTime":1762905600000,"endTime":1762992000000,"tweets":[]},{"label":"2025-11-14","value":0,"startTime":1762992000000,"endTime":1763078400000,"tweets":[]},{"label":"2025-11-15","value":25,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1989340604568846377","view_count":37,"bookmark_count":0,"created_at":1763130734000,"favorite_count":2,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1159842187678494725","conversation_id_str":"1989340604568846377","full_text":"Can someone clarify this for me?\n\nPrizepicks - working with both kalshi and polymarket\nNHL - Both are the “official partner”\n\nWhat are these deals? NHL can make more sense to have multiple partners if a partner is allowed to use the official names of NHL teams.\n\nBut what about prizepicks?\n\nAre they surfacing both polymarket and kalshi markets in their app? Is one platform being shown in one place (player props) and the other in another (single game 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Polymarket have wash trading? I read the paper so you don't have to.\n\nHere are the highlights (my takes are at the end):\n\n1. An estimated 25% of Polymarket's volume all-time resembles wash trading.\n\n- Reached a high of 60% of total weekly exchange volume in December 2024\n- Reached a low of 5% of volume in May 2025\n- 14% of wallets on the platform were flagged\n\nVolume by Category:\nCrypto - 3%\nPolitics - 12%\nElections - 17%\nSports - 45%\n\n2. Wash trading activity has spiked in anticipation of the $POLY token\n\nAfter the Polymarket token was teased on October 8th, daily volume jumped up substantially. In that same time, the amount of wash trading identified also rose.\n\n3. Most volume was done on low-value, low probability contracts.\n\nThe center chart depicting the Average buy/sell price shows the majority of wash trading happens in contracts that are near $0. This is a common strategy that allows users to get a high notional volume without risking much money.\n\nIf a user buys 1000 contracts that are worth .1c ($0.001) each, they are spending $1. But because each contract can resolve to $1, the the notional value of the contracts they traded is $1000.\n\nThere are many legitimate trading strategies that can be done in low probability outcomes, but if you're an airdrop farmer who is optimizing for notional volume, this is the place to be.\n\nMy takes:\n\n1. Thats it?\n\n25% of the volume being from wash trading means 75% of the billions of dollars transacted on Polymarket are real users taking real positions.\n\n2. Fees solve all\n\nWhat matters isn't how much volume is on your platform, but how much volume is monetizable. Right now there is no cost to trading. Once fees are implemented, the ratio of real volume to farming volume will improve.\n\nA fee of almost any size on low value contracts would eliminate that strategy immediately, addressing a large portion of this volume.\n\n3. Headlines make it seem worse than it is\n\nMaybe crypto has poisoned my view on this, but typically wash trading is done as a deliberate attempt to massively overstate volume by a malicious team. There's no indication the polymarket team was the one creating this volume or asking others to do this volume. Beyond that, polymarket's volume could be 75% of what it is today and the market's interpretation of their success would likely be unchanged.\n\nWhen there is an incentive to get volume, users will attempt to get volume. Every platform has some form of incentive for volume either via points/token or direct rebates for providing liquidity that help improve the experience for real users on the platform.\n\nOverall, wash trading of course is an issue and should not be considered when calculating a platform's volume. But most people's kneejerk reaction to the headlines will probably overstate the size of polymarket's issue in particular.\n\nOutstanding questions:\n\nHow should volume on prediction markets be calculated?\n\nWash trading and volume farming should be excluded, but its difficult to identify them with a high degree of certainty.\n\nMore importantly, is notional volume the right way to calculate it?\n\nAs an industry I believe notional volume should be replaced by considering the real amount of money a user is transacting, not the potential value of their contracts.\n\nI'd love to hear your reactions to the paper and your thoughts on how volume on prediction markets can be calculated more accurately.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null}]},{"label":"2025-11-09","value":0,"startTime":1762560000000,"endTime":1762646400000,"tweets":[]},{"label":"2025-11-10","value":0,"startTime":1762646400000,"endTime":1762732800000,"tweets":[]},{"label":"2025-11-11","value":14564,"startTime":1762732800000,"endTime":1762819200000,"tweets":[{"bookmarked":false,"display_text_range":[0,275],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1987949918351507908","quoted_status_permalink":{"url":"https://t.co/bNW1hcHbjA","expanded":"https://twitter.com/hyperreal_nick/status/1987949918351507908","display":"x.com/hyperreal_nick…"},"retweeted":false,"fact_check":null,"id":"1987987464477437975","view_count":14564,"bookmark_count":89,"created_at":1762808121000,"favorite_count":82,"quote_count":2,"reply_count":7,"retweet_count":5,"user_id_str":"1159842187678494725","conversation_id_str":"1987987464477437975","full_text":"This article is worth reading. Here's my favorite excerpt:\n\n\"These five problems — liquidity, discovery, expression, creation, resolution — are interconnected. Solve liquidity and you make markets more attractive, which improves discovery. Better discovery brings more users, which makes permissionless creation viable. More markets mean more need for robust oracles. It’s a system, and right now, the system has bottlenecks.\n\nBut here’s the opportunity: the incumbents are locked into their models. Polymarket and Kalshi have built successful businesses on top of certain assumptions about how prediction markets should work. They’re optimizing within constraints. The next generation of builders has the luxury of ignoring those constraints entirely.\n\nMelee can experiment with bonding curves because they’re not trying to be Polymarket. Flipr can embed leverage into social feeds because they don’t need regulatory approval in the U.S. Seda can spin up perps based on continuous data streams because they’re not beholden to binary resolution.\n\nThis is where the alpha is. Not in replicating what already exists, but in attacking the foundational problems directly. These five problems are table stakes. The platforms that solve liquidity, discovery, and resolution infrastructure won’t just gain market share — they’ll unlock the full potential of prediction markets as a coordination mechanism.\n\n2024 proved prediction markets can work at scale. 2026 will prove they can work everywhere.\"","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null}]},{"label":"2025-11-12","value":0,"startTime":1762819200000,"endTime":1762905600000,"tweets":[]},{"label":"2025-11-13","value":0,"startTime":1762905600000,"endTime":1762992000000,"tweets":[]},{"label":"2025-11-14","value":0,"startTime":1762992000000,"endTime":1763078400000,"tweets":[]},{"label":"2025-11-15","value":5834,"startTime":1763078400000,"endTime":1763164800000,"tweets":[{"bookmarked":false,"display_text_range":[0,277],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1989340604568846377","view_count":37,"bookmark_count":0,"created_at":1763130734000,"favorite_count":2,"quote_count":1,"reply_count":0,"retweet_count":0,"user_id_str":"1159842187678494725","conversation_id_str":"1989340604568846377","full_text":"Can someone clarify this for me?\n\nPrizepicks - working with both kalshi and polymarket\nNHL - Both are the “official partner”\n\nWhat are these deals? 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