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Fresh Wallet Printed $140,905 in a Week Using the "Frank-Wolfe" Mathematical Formula Yesterday I shared a few strategies whales are using right now to stack daily gains. Here’s a clean example of how the “Frank-Wolfe” system works: > Joined January 22 > $185,163 total profit > trading only crypto... markets Profile link: How this bot works: > Scans markets for price inefficiencies > Identifies the biggest mispricing > Allocates small size to that edge > Repeats & compounds into an optimal position There’s no luck in his actions. Every trade is mathematically calculated. Sometimes I wish I don’t study math in university properly. Have you read the files already? While most people gamble, some run math. Save it and don’t skip.show more

may.crypto {🦅}

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20,874 просмотров • 5 месяцев назад •via X (Twitter)

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How to Build and Turn $15k into $1.1M in 20 Days Using Arbitrage Bot Claude Bot scaled a deposit up to $1.1M By trading 5-min and 15-min markets on Polymarket Bot using this strategy: - Mispricing formula - Expected value calculation - Kelly Criterion sizing mispricing found → EV calced → kelly sizing → enter > 25,123 trades > 83.9% win rate > +1.1M profit > Biggest win 33K Check this profile here: Copytrading: If you wish to do the same I have outlined exactly how to create your own bot in my article Which is also where I told the story of how Claude turned $300 into 2.4M in 4 months This week I will write an article “Why your bot isn’t working and how to fix it” So follow and save this post

AdiiX

33,914 просмотров • 3 месяцев назад

Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t “guessing where the chart will go.” This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:

Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t “guessing where the chart will go.” This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:

cvxv666

281,266 просмотров • 3 месяцев назад

Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:

Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:

cvxv666

202,247 просмотров • 3 месяцев назад

Stanford student fed Claude a book with 151 trading strategies and turned $87 into $213,000 in one week His account is 0xB27 He gave him one task: -find an edge on Polymarket BTC markets Claude analyzed 550 mathematical formulas in 2 minutes and said that most of them don’t work in prediction markets and explained why what remained: → momentum on 5m/15m/1h → binary markets systematically overestimate short-term BTC volatility → there is a gap between what the market thinks and what the data shows He wrote a bot over the weekend from March 4 to today: → 3,426 trades → biggest win: $11,900 on a single position → the account is public, you can check it Profile: “I’m not a trader, I didn’t have trading education, I had a book and Claude”-he says cost of entry: one book and a few prompts The link to the book will be under the post 👇🏼 Just insert PDF files into Claude and create your own bot Add this post to bookmarks so you don’t lose this PDF If you’re interested in which 5 prompts he used to set up the bot Like, repost, comment STANFORD and I’ll send them to you in DM The main thing is to be subscribed so I can DM you

AdiiX

47,280 просмотров • 4 месяцев назад

Hermes AI trading agent + math from this article = $440,000 profit on Polymarket in just 20 days. Zero profile views. This guy made almost $500k and everyone is acting like it’s completely normal. 85% win rate = he’s not guessing the future, he’s farming pure mathematical edge. Wallet of the agent: 850 green trades out of every 1,000. At his size and ROI he makes 11x more on winners than he loses. This is the real secret of any top PnL trader on Polymarket: stop guessing and and just exploit the math. Save this post so you don’t forget to read the article. Or take action right now and copy every trade this agent makes using this TG bot:

cvxv666

59,552 просмотров • 3 месяцев назад

A study proved that $40 million was extracted from Polymarket in one year using a single mathematical formula I found a wallet that is using it right now on Iran war markets and made $1.4M in one week. Most people on Polymarket try to predict the future. Will there be a war. Who will win the election. What will happen next. I spent months doing the same thing. Reading news. Watching debates. Building my little models of what I thought should happen. And losing money. Not because I was wrong about events. Because I was wrong about the game itself. The game is not about predictions. And the wallet I'm about to show you is living proof. Three weeks ago I pulled the full trade history of this wallet: What I saw at first didn't make sense. He was opening the same market more than 30 times. US strikes Iran by January 11. US strikes Iran by January 12. January 13. January 14. January 15. January 16. January 17. The same event. Different dates. Over and over. First thought: this person is obsessed with Iran. Second thought: this person doesn't care about Iran at all. Here's what he's actually doing. Polymarket creates separate markets for the same event with different deadlines. Will the US strike Iran by March. By April. By June. These are not independent questions. If the strike happens in March then April and June automatically resolve to YES as well. But Polymarket prices each market separately. And the crowd prices them emotionally. Fear spikes on Tuesday night because someone tweeted something. One market jumps. The others lag behind. For a few minutes and sometimes hours prices on related markets stop converging. When you buy NO across multiple dates and the total cost is 94 cents and the guaranteed payout is $1 regardless of what happens you're not betting. You're collecting a 6% return on mathematical inevitability. That's the entire strategy. He buys dollars for 94 cents. I checked his numbers. On the Iran series alone he pulled $247,000 in realized profit across seven markets with different dates. Average purchase price of NO positions from 72 to 95 cents. Each one resolved at $1. The biggest hit was the government shutdown market. $88,000 in profit. Same logic. Buy both sides when the total cost is less than a dollar. One side pays. Math does the rest. 85% of his capital is in political markets. Wars. Elections. Geopolitics. Not because he has strong geopolitical convictions. Because political markets on Polymarket are where the math breaks most often. Why political markets specifically? Because they generate the most emotion. When CNN runs breaking news about Iran at 11 PM thousands of people rush to buy YES on the nearest date. They overbid the price. They panic. They push one market out of line with the rest. That panic is his paycheck. And now the part that actually matters. I dug deeper into how this type of arbitrage works at scale and found a study that made everything click. A team analyzed every trade on Polymarket over 12 months. They found 17,218 market conditions. 41% of them had an exploitable pricing error. And the total profit extracted by arbitrageurs was $40 million. The top single wallet made $2 million using one algorithm. The Frank-Wolfe method. I'll explain without math because the concept is simple even if the calculations aren't. Imagine you walk into a store that sells lottery tickets for 7 different drawings. Each ticket is priced separately. The store doesn't coordinate prices between drawings. You notice that if you buy a certain combination of tickets across all 7 drawings the total cost is $94 but you're guaranteed to win exactly $100 no matter which drawing hits. You don't need to predict which drawing will win. You just need to notice that the store mispriced the tickets. Here's Frank-Wolfe in one sentence. It scans thousands of related markets simultaneously and finds combinations where the total price is less than the guaranteed payout. Then it calculates the exact amounts to buy on each side to maximize the spread. The reason a human can't do this manually is scale. There are hundreds of active markets on Polymarket. Many are connected by logic. If event A happens then event B must also happen. If candidate X wins state Y then the national result shifts. The number of possible combinations grows exponentially. While you're checking 10 markets by hand the algorithm has scanned 17,000. What anoin123 does is a manual version of this. He picks one cluster of related markets like the Iran date series and runs the logic in his head. Buy NO across seven dates. Total cost less than a dollar. Wait. Collect. The automated version does the same thing but across all markets on the platform simultaneously. My personal takeaway after three weeks of studying this. I spent months trying to be smarter than the crowd. Reading polls. Watching news. Forming opinions. And the whole time there was a category of traders who had zero opinions about anything. They just waited for the crowd to misprice related markets and collected the difference. The uncomfortable realization is that prediction markets are not actually about predictions for those who make the most money. They're about math. And the math breaks every day because people trade on emotions and the platform prices markets independently of each other. I don't have the infrastructure to run Frank-Wolfe at scale. But I don't need to. Wallets like anoin123 do this in plain sight. Every trade on the blockchain. Every entry price. Every exit. Every timestamp. I stopped trying to predict events. I started watching wallets that make money regardless of what happens. The difference in my results is so stark it's uncomfortable to think about. If you want to understand the full math behind this the study is publicly available. Search for Arbitrage in Prediction Markets on arXiv. But the short version is this. Every time the crowd panics about a war or an election and pushes one market out of line with its related markets someone on the other side quietly buys dollars for 94 cents. The question is not whether they'll strike Iran. The question is whether you noticed that seven markets about the same event are priced as if they have nothing to do with each other. That gap is where the money lives.

A study proved that $40 million was extracted from Polymarket in one year using a single mathematical formula I found a wallet that is using it right now on Iran war markets and made $1.4M in one week. Most people on Polymarket try to predict the future. Will there be a war. Who will win the election. What will happen next. I spent months doing the same thing. Reading news. Watching debates. Building my little models of what I thought should happen. And losing money. Not because I was wrong about events. Because I was wrong about the game itself. The game is not about predictions. And the wallet I'm about to show you is living proof. Three weeks ago I pulled the full trade history of this wallet: What I saw at first didn't make sense. He was opening the same market more than 30 times. US strikes Iran by January 11. US strikes Iran by January 12. January 13. January 14. January 15. January 16. January 17. The same event. Different dates. Over and over. First thought: this person is obsessed with Iran. Second thought: this person doesn't care about Iran at all. Here's what he's actually doing. Polymarket creates separate markets for the same event with different deadlines. Will the US strike Iran by March. By April. By June. These are not independent questions. If the strike happens in March then April and June automatically resolve to YES as well. But Polymarket prices each market separately. And the crowd prices them emotionally. Fear spikes on Tuesday night because someone tweeted something. One market jumps. The others lag behind. For a few minutes and sometimes hours prices on related markets stop converging. When you buy NO across multiple dates and the total cost is 94 cents and the guaranteed payout is $1 regardless of what happens you're not betting. You're collecting a 6% return on mathematical inevitability. That's the entire strategy. He buys dollars for 94 cents. I checked his numbers. On the Iran series alone he pulled $247,000 in realized profit across seven markets with different dates. Average purchase price of NO positions from 72 to 95 cents. Each one resolved at $1. The biggest hit was the government shutdown market. $88,000 in profit. Same logic. Buy both sides when the total cost is less than a dollar. One side pays. Math does the rest. 85% of his capital is in political markets. Wars. Elections. Geopolitics. Not because he has strong geopolitical convictions. Because political markets on Polymarket are where the math breaks most often. Why political markets specifically? Because they generate the most emotion. When CNN runs breaking news about Iran at 11 PM thousands of people rush to buy YES on the nearest date. They overbid the price. They panic. They push one market out of line with the rest. That panic is his paycheck. And now the part that actually matters. I dug deeper into how this type of arbitrage works at scale and found a study that made everything click. A team analyzed every trade on Polymarket over 12 months. They found 17,218 market conditions. 41% of them had an exploitable pricing error. And the total profit extracted by arbitrageurs was $40 million. The top single wallet made $2 million using one algorithm. The Frank-Wolfe method. I'll explain without math because the concept is simple even if the calculations aren't. Imagine you walk into a store that sells lottery tickets for 7 different drawings. Each ticket is priced separately. The store doesn't coordinate prices between drawings. You notice that if you buy a certain combination of tickets across all 7 drawings the total cost is $94 but you're guaranteed to win exactly $100 no matter which drawing hits. You don't need to predict which drawing will win. You just need to notice that the store mispriced the tickets. Here's Frank-Wolfe in one sentence. It scans thousands of related markets simultaneously and finds combinations where the total price is less than the guaranteed payout. Then it calculates the exact amounts to buy on each side to maximize the spread. The reason a human can't do this manually is scale. There are hundreds of active markets on Polymarket. Many are connected by logic. If event A happens then event B must also happen. If candidate X wins state Y then the national result shifts. The number of possible combinations grows exponentially. While you're checking 10 markets by hand the algorithm has scanned 17,000. What anoin123 does is a manual version of this. He picks one cluster of related markets like the Iran date series and runs the logic in his head. Buy NO across seven dates. Total cost less than a dollar. Wait. Collect. The automated version does the same thing but across all markets on the platform simultaneously. My personal takeaway after three weeks of studying this. I spent months trying to be smarter than the crowd. Reading polls. Watching news. Forming opinions. And the whole time there was a category of traders who had zero opinions about anything. They just waited for the crowd to misprice related markets and collected the difference. The uncomfortable realization is that prediction markets are not actually about predictions for those who make the most money. They're about math. And the math breaks every day because people trade on emotions and the platform prices markets independently of each other. I don't have the infrastructure to run Frank-Wolfe at scale. But I don't need to. Wallets like anoin123 do this in plain sight. Every trade on the blockchain. Every entry price. Every exit. Every timestamp. I stopped trying to predict events. I started watching wallets that make money regardless of what happens. The difference in my results is so stark it's uncomfortable to think about. If you want to understand the full math behind this the study is publicly available. Search for Arbitrage in Prediction Markets on arXiv. But the short version is this. Every time the crowd panics about a war or an election and pushes one market out of line with its related markets someone on the other side quietly buys dollars for 94 cents. The question is not whether they'll strike Iran. The question is whether you noticed that seven markets about the same event are priced as if they have nothing to do with each other. That gap is where the money lives.

Blaze

31,373 просмотров • 5 месяцев назад

Anthropic released an update for Claude, and one young guy turned $1,400 into $238,000 in 11 days His account is 0xdE17. He is not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated the skills architecture for Claude, he didn’t sleep for two nights, read the documentation, and built a bot from scratch. Result: $1,430 → $238,006 in 11 days 366 trades. Win rate 62%. The biggest win $52,700 on a single bet. How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from the fair value by more than 8%. That’s the edge. Most people don’t see it the bot always does. The strategy is painfully simple - The market says 30¢ for an event - The real probability based on data is 55¢ - The bot enters. Waits. Exits at the peak. This isn’t luck. It’s attention arbitrage. The biggest trade was a bet that Trump would sign a crypto executive order in March. The market priced it at 28¢. The bot placed $16,000. Exited at 81¢. In 11 days he went through a journey most traders don’t go through in years. Now his wallet is public, and with the help of this terminal you will be able to copy his trades in time: Bot 0xdE17 CLAWD BTC SNIPER is open for copy-trade. People ask him: “How much starting capital do you need?” He replied: “I had $1,400 and a sleepless night.” Anthropic gave the tool. He simply wasn’t afraid to use it.

Anthropic released an update for Claude, and one young guy turned $1,400 into $238,000 in 11 days His account is 0xdE17. He is not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated the skills architecture for Claude, he didn’t sleep for two nights, read the documentation, and built a bot from scratch. Result: $1,430 → $238,006 in 11 days 366 trades. Win rate 62%. The biggest win $52,700 on a single bet. How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from the fair value by more than 8%. That’s the edge. Most people don’t see it the bot always does. The strategy is painfully simple - The market says 30¢ for an event - The real probability based on data is 55¢ - The bot enters. Waits. Exits at the peak. This isn’t luck. It’s attention arbitrage. The biggest trade was a bet that Trump would sign a crypto executive order in March. The market priced it at 28¢. The bot placed $16,000. Exited at 81¢. In 11 days he went through a journey most traders don’t go through in years. Now his wallet is public, and with the help of this terminal you will be able to copy his trades in time: Bot 0xdE17 CLAWD BTC SNIPER is open for copy-trade. People ask him: “How much starting capital do you need?” He replied: “I had $1,400 and a sleepless night.” Anthropic gave the tool. He simply wasn’t afraid to use it.

AdiiX

1,764,612 просмотров • 4 месяцев назад

How to Turn $15k into $529k in 15 Days A Clawdbot scaled a deposit up to $529k By trading 5-min and 15-min markets on Polymarket > the bot buys YES and NO simultaneously > If their combined price is below $1, making 4% profit instantly > 9,866 trades > 83.9% win rate > +$529k profit Check this profile here: If you wish to do the same I have outlined exactly how to create your own bot in my article Which is also where I told the story of an account making $101k in 48 hours

DPool

620,811 просмотров • 5 месяцев назад

Chinese engineer made $600,000 in ONE MONTH trading BTC markets on Polymarket. Right tools + 6-layer execution stack, zero risk and pure math edge farming. He wins with an 85% probability - earn roughly $150,000 per week. Every week. His wallet: ~$7,000,000 a year. Not a bad return for simply finding the right information and feeding it to Claude. While some people are still using Claude as a regular chatbot, the real smart ones are making money. Claude helped me fully reverse-engineer his strategy - now you can build the same thing. There’s a complete professional-grade pipeline here, Jane Street quant level. You can keep scrolling and coping - or save this post, read article and build the same algo bot. Or just be smart and start copying his trades right now with this TG bot:

Chinese engineer made $600,000 in ONE MONTH trading BTC markets on Polymarket. Right tools + 6-layer execution stack, zero risk and pure math edge farming. He wins with an 85% probability - earn roughly $150,000 per week. Every week. His wallet: ~$7,000,000 a year. Not a bad return for simply finding the right information and feeding it to Claude. While some people are still using Claude as a regular chatbot, the real smart ones are making money. Claude helped me fully reverse-engineer his strategy - now you can build the same thing. There’s a complete professional-grade pipeline here, Jane Street quant level. You can keep scrolling and coping - or save this post, read article and build the same algo bot. Or just be smart and start copying his trades right now with this TG bot:

cvxv666

155,154 просмотров • 3 месяцев назад

Chinese engineers built a Claude-powered bot called PHANTOM that turned $1.18 into $3.3 MILLION. Not signals. Not manual trading. Fully autonomous execution. Stats: • 37,063 trades • 71% win rate • Biggest trade: $180K Copy it here: How it works: Scans thousands of markets across Polymarket + Kalshi Detects mispricing before repricing happens Enters and exits automatically in seconds The system runs 3 different engines: Pairs Arbitrage YES 0.62 + NO 0.41 = instant edge Sentiment AI Scans X + breaking news before markets react Volatility Timing Enters before spikes and exits into movement Why sports and prediction markets are perfect for this: • Slow repricing • Wide spreads • Constant inefficiencies That’s where the millions came from. Humans can’t compete anymore. You can’t monitor 50+ markets at once. You hesitate. You sleep. The bot doesn’t. 24/7 execution. No emotions. No delays. By the time you click, the opportunity is already gone. Manual trading is dying. Automation already won. Want the full setup? Comment “GUIDE” Like + RT Follow Discover

Chinese engineers built a Claude-powered bot called PHANTOM that turned $1.18 into $3.3 MILLION. Not signals. Not manual trading. Fully autonomous execution. Stats: • 37,063 trades • 71% win rate • Biggest trade: $180K Copy it here: How it works: Scans thousands of markets across Polymarket + Kalshi Detects mispricing before repricing happens Enters and exits automatically in seconds The system runs 3 different engines: Pairs Arbitrage YES 0.62 + NO 0.41 = instant edge Sentiment AI Scans X + breaking news before markets react Volatility Timing Enters before spikes and exits into movement Why sports and prediction markets are perfect for this: • Slow repricing • Wide spreads • Constant inefficiencies That’s where the millions came from. Humans can’t compete anymore. You can’t monitor 50+ markets at once. You hesitate. You sleep. The bot doesn’t. 24/7 execution. No emotions. No delays. By the time you click, the opportunity is already gone. Manual trading is dying. Automation already won. Want the full setup? Comment “GUIDE” Like + RT Follow Discover

Discover

43,683 просмотров • 2 месяцев назад

I ran a backtest of a trader’s strategy that generated $387,000 in profit using Claude + Nautilus via PyPI. Result shocked me - mechanics are understandable to anyone. The real alpha is in the numbers under the hood. That’s what lets you pull $30k a week with pure math. I simulated every single one of his trades and broke down every transaction. This guy wallet: I reverse-engineered all his arbitrage calibrations, mean-reversion logic and mapped out the entire lifecycle of his bot. 3,789 markets. 12,441 fills. 87.3% win rate. Sharpe ratio 4.21. Broker simulator on nautilus-core, 41.8 GB of parquet data in DuckDB. Every trade is a perfect cycle. Every dollar earned is pure exploitation of inefficiency. He doesn’t predict the future - math already knows it. He just reads the numbers right and takes the money. Brier-loss ensemble: 400 trees · lr 0.03, walk-forward validation with Sharpe 4.21 ± 0.08. Save this post if you actually want to learn how to build something like this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:

I ran a backtest of a trader’s strategy that generated $387,000 in profit using Claude + Nautilus via PyPI. Result shocked me - mechanics are understandable to anyone. The real alpha is in the numbers under the hood. That’s what lets you pull $30k a week with pure math. I simulated every single one of his trades and broke down every transaction. This guy wallet: I reverse-engineered all his arbitrage calibrations, mean-reversion logic and mapped out the entire lifecycle of his bot. 3,789 markets. 12,441 fills. 87.3% win rate. Sharpe ratio 4.21. Broker simulator on nautilus-core, 41.8 GB of parquet data in DuckDB. Every trade is a perfect cycle. Every dollar earned is pure exploitation of inefficiency. He doesn’t predict the future - math already knows it. He just reads the numbers right and takes the money. Brier-loss ensemble: 400 trees · lr 0.03, walk-forward validation with Sharpe 4.21 ± 0.08. Save this post if you actually want to learn how to build something like this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:

cvxv666

163,725 просмотров • 3 месяцев назад

Right tools + 6-layer execution stack = $400,000 profit on Polymarket in 20 days. Zero risk, pure math edge farming. Orchestra of agents and Claude 4.7 under the hood - a lethal weapon. It wins with an 85% probability. All proofs is on-chain: $435,000 in 22 days - that’s roughly $150,000 per week. ~$7,000,000 a year. Not a bad return for simply finding the right information and feeding it to Claude. While some people are still using Claude as a regular chatbot, the real smart ones are making money. There’s a complete professional-grade pipeline here, Jane Street quant level. 28 essential tools, all the data, backtests, and agent orchestration - everything is in this article. Save this post so you don’t lose it - it’s a full reverse-engineered breakdown of one of the most profitable bots on Polymarket. Want to start printing right now? I’m copying every trade of this algo with TG copy-trading bot:

Right tools + 6-layer execution stack = $400,000 profit on Polymarket in 20 days. Zero risk, pure math edge farming. Orchestra of agents and Claude 4.7 under the hood - a lethal weapon. It wins with an 85% probability. All proofs is on-chain: $435,000 in 22 days - that’s roughly $150,000 per week. ~$7,000,000 a year. Not a bad return for simply finding the right information and feeding it to Claude. While some people are still using Claude as a regular chatbot, the real smart ones are making money. There’s a complete professional-grade pipeline here, Jane Street quant level. 28 essential tools, all the data, backtests, and agent orchestration - everything is in this article. Save this post so you don’t lose it - it’s a full reverse-engineered breakdown of one of the most profitable bots on Polymarket. Want to start printing right now? I’m copying every trade of this algo with TG copy-trading bot:

cvxv666

61,037 просмотров • 3 месяцев назад

HOW IS THIS QUANT BOT MAKING $12,422 PER DAY? +$211,174 in just 17 days. Not by predicting Bitcoin. By exploiting math. Public wallet: Since March 25, the wallet switched to a completely different style. High-frequency market making. Every second it scans for small pricing mistakes. Most traders need a huge move. This bot doesn't. It only needs tiny inefficiencies. Its framework combines three ideas: • Bayesian updates to adjust probabilities before markets fully react • Kelly sizing to determine how aggressively to bet • Stoikov market-making logic to manage inventory and quote risk The result: Find edge. Size correctly. Control risk. Repeat. Thousands of times. Some recent trades: • $8,378 → $34,940 (+317%) • $5,741 → $22,458 (+291%) • $26,446 → $41,749 (+57%) The interesting part? The core edge is surprisingly simple. When: YES + NO < $1 The market is mispriced. Most people ignore it. The bot doesn't. It exploits the gap. Again. And again. And again. That's how a tiny edge becomes a six-figure PnL curve. Bot:

HOW IS THIS QUANT BOT MAKING $12,422 PER DAY? +$211,174 in just 17 days. Not by predicting Bitcoin. By exploiting math. Public wallet: Since March 25, the wallet switched to a completely different style. High-frequency market making. Every second it scans for small pricing mistakes. Most traders need a huge move. This bot doesn't. It only needs tiny inefficiencies. Its framework combines three ideas: • Bayesian updates to adjust probabilities before markets fully react • Kelly sizing to determine how aggressively to bet • Stoikov market-making logic to manage inventory and quote risk The result: Find edge. Size correctly. Control risk. Repeat. Thousands of times. Some recent trades: • $8,378 → $34,940 (+317%) • $5,741 → $22,458 (+291%) • $26,446 → $41,749 (+57%) The interesting part? The core edge is surprisingly simple. When: YES + NO < $1 The market is mispriced. Most people ignore it. The bot doesn't. It exploits the gap. Again. And again. And again. That's how a tiny edge becomes a six-figure PnL curve. Bot:

Discover

12,270 просмотров • 1 месяц назад

a trader just pulled over $300,000 trading 5-min BTC using Claude. started with $1,500 scaled it to $3,040,000 $54,200 today $226,000 this week he created the account on march 4th and in less than a month outperformed what most people make in years. how? his profile: Copy it: no magic. no secret signals. he just set up his AI properly. → installed MCP plugins + APIs → told Claude: “build a terminal for 5-min BTC markets” → AI tracks inefficiencies between spot BTC and prediction markets like Polymarket → executes instantly: buy lower, sell higher fully automated. no emotions. no hesitation. while most people are still “trying AI”, others are already using it as infrastructure. this isn’t about hype. it’s about leverage. learn how to use tools like Claude properly, and you stop trading manually forever. the gap is opening fast.

Discover

129,791 просмотров • 3 месяцев назад

This GitHub script makes $500K a week. Someone found a legal API loophole worth $3.7M. According to his profile: I studied legendary swisstony wallet and I was blown away. The bot really started with some measly $5 and now his profit has hit the $3.7 million mark in just six months. Just picture him making $90K pure cash and everyone getting into a debate about the next prediction on the chat. There is no trading in the normal sense. This is systematic clearing with code. I went back into his working head and heres what the bot does with liquidity: First it works like a vacuum cleaner for'free'money. The bot searches for outcomes with a 99% improbability of occurrence and allocates significant sums to the 'NO' category at 99 cents. For him this is a guaranteed 1 and he does it hundreds of times. This isn't a casino this is an insurance company that takes your premiums but never pays claims. 2nd the bot catches misstake in the system itself. If A must cause B and the quotes did differ the script is immediately in the trade. And while you are still reading the headline on Sports the bot has already identified the mismatch in the order book and secured its gain. No way a human can keep up with it. However, the true excitement exists within the domains of sports and politics. The bot intentionally enters these markets. Why? Since that is where the biggest crowd of hamsters place bets for fun and the info about the matches always gets to the masses with the delay The script just sits in the middle and takes one cent of spread from each trade. Monthly, this equates to 22,000 such micro-bites, which accumulate into millions. Here's the bottom line. Right now there is the real bot war at Polymarket. The platform has already commenced applying charges on crypto markets as a measure to decelerate their pace. But in sports is still chaos and easy money.

Blaze

217,714 просмотров • 6 месяцев назад

Billy Bob Thornton says his Landman windmill monologue went viral, with oil workers thanking him for “showing people” how the industry really works. “That scene became huge. I mean it was all over the internet.” “When I run into an oil guy… they always bring that scene up and thank me… ‘Thanks for showing people what this is.’” “People try to politicize everything, and the fact of the matter is that Taylor… is not taking a side. He’s just saying, ‘Here’s a look behind the curtain at how this works.’” “This is how it works and this is how it affects the people who work in it. This is how dangerous it is, here’s how much of a gamble it is.” “When something makes sense to you dialogue wise, it’s easy to do a long monologue.”

Billy Bob Thornton says his Landman windmill monologue went viral, with oil workers thanking him for “showing people” how the industry really works. “That scene became huge. I mean it was all over the internet.” “When I run into an oil guy… they always bring that scene up and thank me… ‘Thanks for showing people what this is.’” “People try to politicize everything, and the fact of the matter is that Taylor… is not taking a side. He’s just saying, ‘Here’s a look behind the curtain at how this works.’” “This is how it works and this is how it affects the people who work in it. This is how dangerous it is, here’s how much of a gamble it is.” “When something makes sense to you dialogue wise, it’s easy to do a long monologue.”

_Chase😈

965,816 просмотров • 24 дней назад

I built a bot for 5-min BTC markets using OpenClaw $50 -> $823 This type of market has a crazy opportunity since every trade is basically 2x. If your win rate is above 50%, you can realistically scale to $10,000+ examples: NickyNic / +$82,000 in a day profile: Xander-corvus2 / +$102,299 in a day profile: These aren't some pro traders, two profiles were created just days ago, they just know how to use Fast-Loop properly that's exactly why i built this bot > scans arbitrage every 5 mins > compares price with Binance and CoinGecko The result is a fully automated 24/7 system - it catches the move before Polymarket reacts and enters first

Noisy

593,081 просмотров • 5 месяцев назад

Chinese student used AI from Anthropic to turn $1,000 into $1,500,000 He studies at Tsinghua University in Beijing. His account is k9Q2m In such a young age he already make a million simply knowing the right formulas and being able to use Claude Result: $1,430 → $1,550,750 44,364 trades Win rate 100% The biggest win $23,600 on a single bet k9Q2m profile: How it bots work: The bot runs 6 formulas hedge funds use simultaneously, every tick. Most traders guess. This bot calculates. Formula 1 - LMSR Pricing Polymarket prices move on a logarithmic curve. The bot knows the exact price impact before entering. Market says 31¢ for BTC up in 5 minutes. The model sees the curve is mispriced. The bot enters before the correction. Formula 2 - Kelly Criterion Renaissance Capital uses it. Two Sigma uses it. Now your bot uses it. Every bet is sized exactly right. Never too big to blow the account. Never too small to matter. $1,000 bankroll. Consistent edge. Kelly compounds it into something real. Formula 3 - EV Gap Detection The bot scans every BTC market looking for one thing: - Where is the market price wrong by more than 5%? - Market says 30¢. Real probability is 55¢. EV = +0.52. The bot enters. Most people never see this gap. The bot never misses it. Formula 4 - KL-Divergence BTC 5-minute and 15-minute markets are correlated. When they drift apart - that's an arb. The bot measures the statistical distance between them every second. When it crosses 0.2, it flags the trade. This is how hedge funds extracted $100K+ on correlated election markets. The same logic runs here. Formula 5 - Bayesian Updates New block confirmed. Volume spike. Price movement. The bot doesn't ignore signals - it updates. Prior probability was 54%. New data comes in. Posterior jumps to 71%. The bot re-prices in real time while the market is still asleep. Formula 6 - Stoikov Execution Entering at the wrong moment kills the edge. The bot calculates the reservation price-the exact point where the risk-adjusted entry makes sense. It doesn't chase. It doesn't panic. It waits for the right tick, then fills What this means in practice: - Every few seconds the bot runs all six formulas in parallel. - If LMSR confirms mispricing - EV gap is above 5% - Kelly says the bet size is justified - Bayesian posterior agrees - KL-divergence flags the correlated drift - Stoikov clears the execution price Only then does the bot enter. Six filters. One trade. This isn't a trading bot. It's a hedge fund strategy running on a prediction market. The edge is real. The math is public. The difference is most people never build it. Just insert all these formulas into Claude and create your own bot Add this post to bookmarks so you don’t lose it Soon I will publish another bot with working formulas

AdiiX

718,058 просмотров • 4 месяцев назад

Polymarket added fees so most arbitrage bots died. Devs who spent months building strategies watched their edge disappear in one update. But a small group figured out how to stay profitable anyway. This wallet is making $27,000 every single day right now. $743,000 in 35 days. 31,566 predictions. Fully automated. And it is running the exact same strategy i broke down in my previous article. His wallet: < Here is exactly how it works and why fees didn't kill it: The bot trades crypto Up/Down markets across BTC, ETH, SOL and XRP simultaneously. Not randomly. With surgical precision on timing and entry price. Look at the realized moves: Bitcoin position turned $2,300 into $8,260. XRP position turned $10,105 into $22,100. Ethereum position turned $1,347 into $10,950. Those are not lucky trades. That is a system firing correctly at scale. The reason fees didn't destroy this bot is the same reason i explained before. Pure speed arbitrage bots died because their edge was margin - and fees ate the margin completely. This bot doesn't rely on tiny spread captures. It combines pair-sum arbitrage with precise entry timing to find windows where combined price is cheap enough that fees still leave meaningful profit on the table. The math only works at specific entry prices and specific timing windows. Most bots can't find those windows fast enough. This one can because the infrastructure is fast enough to compete. $27,000 per day from a strategy that survived the fee update while everyone else shut down. That is not luck. That is being technically ahead of the competition. The gap between bots that died and bots that kept printing was never the strategy. It was execution quality and infrastructure speed.

Polymarket added fees so most arbitrage bots died. Devs who spent months building strategies watched their edge disappear in one update. But a small group figured out how to stay profitable anyway. This wallet is making $27,000 every single day right now. $743,000 in 35 days. 31,566 predictions. Fully automated. And it is running the exact same strategy i broke down in my previous article. His wallet: < Here is exactly how it works and why fees didn't kill it: The bot trades crypto Up/Down markets across BTC, ETH, SOL and XRP simultaneously. Not randomly. With surgical precision on timing and entry price. Look at the realized moves: Bitcoin position turned $2,300 into $8,260. XRP position turned $10,105 into $22,100. Ethereum position turned $1,347 into $10,950. Those are not lucky trades. That is a system firing correctly at scale. The reason fees didn't destroy this bot is the same reason i explained before. Pure speed arbitrage bots died because their edge was margin - and fees ate the margin completely. This bot doesn't rely on tiny spread captures. It combines pair-sum arbitrage with precise entry timing to find windows where combined price is cheap enough that fees still leave meaningful profit on the table. The math only works at specific entry prices and specific timing windows. Most bots can't find those windows fast enough. This one can because the infrastructure is fast enough to compete. $27,000 per day from a strategy that survived the fee update while everyone else shut down. That is not luck. That is being technically ahead of the competition. The gap between bots that died and bots that kept printing was never the strategy. It was execution quality and infrastructure speed.

Punisher

34,167 просмотров • 3 месяцев назад

I asked ClawdBot to find every wallet on Polymarket younger than 60 days with profit above 1 million dollars. It came back with exactly 1 result. One wallet out of hundreds of thousands. I opened the profile and spent the next two hours trying to understand what I was looking at. I expected maybe 5 or 10 results. Tens of thousands of active wallets. Somebody must qualify. ClawdBot went quiet for a couple minutes. Result: 1. I reread the filters three times. Changed nothing. Ran it again. Same result: 1. Most wallets on Polymarket are in the red. The ones in profit usually sit at a few hundred or a few thousand dollars. Wallets above $100K in total profit are already rare. Above a million in under 60 days? This one. That is it. $1,613,408. In 57 days. Here is the profile if you want to check the numbers yourself: I started breaking it down week by week. $345,000 last week. Not his best week. Just a regular week. That is roughly $49,000 per day. Every day. Weekends included. $49,000 a day is $18 million annualized. That is a small hedge fund. I asked ClawdBot how many wallets on Polymarket have ever crossed a million in total profit. The answer was under 20. Most of them have been active for six months or longer. Some over a year. This one did it in 57 days. The average profitable wallet on Polymarket makes a few thousand over its entire lifetime. This one makes $345,000 in a week. At some point you stop calling this trading and start calling it something else. I went into the trade history. ClawdBot laid it all out on a timeline. He is not trading 50 markets at once. He picks a specific type and works only those. Few entries, but each one is not small. And here is the part I cannot figure out. Almost every entry happens between 2 and 4 AM EST. Not once or twice. Consistently. As if whatever signal he uses fires in the middle of the night when nobody is watching. I stared at the screen for two hours trying to see the logic. I think I am starting to see a pattern. But that is a separate breakdown. One query. One result. $1,613,408. After that I changed the parameters. Profit above $500K, age under 90 days. ClawdBot came back with 3 wallets. Breaking those down this week.

Blaze

94,606 просмотров • 5 месяцев назад