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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 {🦅}

39,234 subscribers

20,857 次观看 • 4 个月前 •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

33,763 次观看 • 2 个月前

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

201,894 次观看 • 1 个月前

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 次观看 • 3 个月前

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

59,313 次观看 • 2 个月前

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 次观看 • 4 个月前

This trader made $303,000 on Polymarket using a trading bot, buying markets for $14 His trading bot makes 10.26 trades per minute or 615.6 trades per hour. It trades 5 and 15-min crypto markets and looks for micro inefficiencies His strategy is simple: > Tracks Up and Down prices within the same market and across related markets > When it sees an imbalance, it starts buying the undervalued side with limit orders > Sometimes uses arbitrage if it sees edge This guy’s Polymarket account: Using this strategy and good trade execution, he generates profit consistently

This trader made $303,000 on Polymarket using a trading bot, buying markets for $14 His trading bot makes 10.26 trades per minute or 615.6 trades per hour. It trades 5 and 15-min crypto markets and looks for micro inefficiencies His strategy is simple: > Tracks Up and Down prices within the same market and across related markets > When it sees an imbalance, it starts buying the undervalued side with limit orders > Sometimes uses arbitrage if it sees edge This guy’s Polymarket account: Using this strategy and good trade execution, he generates profit consistently

VALIX

17,343 次观看 • 2 个月前

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

620,308 次观看 • 4 个月前

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

1,762,410 次观看 • 3 个月前

THIS TRADER BUILT A BOT WITH CLAUDE THAT TURNED $1,000 INTO $457,000 ON POLYMARKET BY TRADING MLB AND NBA MARKETS. It combines arbitrage, live sports mispricing and basket trading and repeats the same edge thousands of times until the capital compounds.

THIS TRADER BUILT A BOT WITH CLAUDE THAT TURNED $1,000 INTO $457,000 ON POLYMARKET BY TRADING MLB AND NBA MARKETS. It combines arbitrage, live sports mispricing and basket trading and repeats the same edge thousands of times until the capital compounds.

0xMarioNawfal

57,482 次观看 • 26 天前

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

154,547 次观看 • 1 个月前

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

40,720 次观看 • 1 个月前

This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange

This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange

VALIX

98,892 次观看 • 1 个月前

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 次观看 • 2 个月前

Qullamaggie on Success in Trading Is More About Not Doing Dumb Things “No, no, truly — I mean trading like… you don’t have to do a lot of advanced and smart things in the markets. Success in markets is more about not doing a lot of shit, dumb things — avoiding the dumb stuff. I truly think that. Every year I try to do less of the things that don’t work.”

Qullamaggie on Success in Trading Is More About Not Doing Dumb Things “No, no, truly — I mean trading like… you don’t have to do a lot of advanced and smart things in the markets. Success in markets is more about not doing a lot of shit, dumb things — avoiding the dumb stuff. I truly think that. Every year I try to do less of the things that don’t work.”

Lone

12,250 次观看 • 4 个月前

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

60,847 次观看 • 2 个月前

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 次观看 • 16 天前

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

129,387 次观看 • 2 个月前

Fantasy Top Prediction Markets Are LIVE! The biggest personalities on X. The most viral moments. The most dynamic social markets. Take your shot at the $20,000 prediction trading competition and step into the premier social betting experience. Read on to see how it works and how to compete.

Fantasy Top Prediction Markets Are LIVE! The biggest personalities on X. The most viral moments. The most dynamic social markets. Take your shot at the $20,000 prediction trading competition and step into the premier social betting experience. Read on to see how it works and how to compete.

fantasy.top

33,745 次观看 • 6 个月前

This 1-hour MIT Probability Theory lecture is the mathematical foundation behind the 3 formulas top traders use > Law of Large Numbers - a tiny edge compounds into profit over enough trades > log-normal distribution - why modelling markets with normal distribution fails every time > Shannon entropy - how to detect insider information before it moves the price 87% of wallets on prediction markets lose the ones who win understand this math watch this

This 1-hour MIT Probability Theory lecture is the mathematical foundation behind the 3 formulas top traders use > Law of Large Numbers - a tiny edge compounds into profit over enough trades > log-normal distribution - why modelling markets with normal distribution fails every time > Shannon entropy - how to detect insider information before it moves the price 87% of wallets on prediction markets lose the ones who win understand this math watch this

Mr. Buzzoni

37,972 次观看 • 1 个月前

This trader made $230,000 on Polymarket using software, buying markets for $20 His trading bot makes 255 trades per hour or 4.25 trades per minute. It scalps 5 and 15-min crypto markets His strategy: > 78% of trades are on BTC, and 84.4% of trades are on 5-min markets > Looks for mispricing and does directional scalping on 5-min markets > Trades the relative price structure between 5 and 15-min markets His Polymarket profile: Using this strategy, he turned $4,485 into $230,000 in 6 weeks

VALIX

80,670 次观看 • 2 个月前