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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...

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Discover

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12,556 просмотров • 3 месяцев назад •via X (Twitter)

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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
0:38

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

719,007 просмотров • 6 месяцев назад

This trader used Claude to build a Quant Bot and made +$78,118 on Polymarket Since Apr 28, this wallet has been averaging about $1,953 in profit per day and roughly 28 trades per hour This trader has put in $17.3K in deposits and is now sitting at roughly +450.4% ROI 26,505 predictions with a 64% win rate in 40 days This trader’s Polymarket account: The bot strategy is simple: >It does not need one huge move >It keeps picking off markets where the price is still wrong >Gets in before the odds fully catch up and runs the same setup again and again across a very large number of entries >That is how a small edge turns into a steep PnL curve Most profitable trades: $171 → $1,840 (+$1,668 +972.74%) $110 → $1,757 (+$1,647 +1,497.37%) $72 → $1,306 (+$1,234 +1,711.59%) What makes this stand out is not one lucky hit. It is the same repeatable pricing mistake, attacked early and recycled over and over until the gap closes
0:26

This trader used Claude to build a Quant Bot and made +$78,118 on Polymarket Since Apr 28, this wallet has been averaging about $1,953 in profit per day and roughly 28 trades per hour This trader has put in $17.3K in deposits and is now sitting at roughly +450.4% ROI 26,505 predictions with a 64% win rate in 40 days This trader’s Polymarket account: The bot strategy is simple: >It does not need one huge move >It keeps picking off markets where the price is still wrong >Gets in before the odds fully catch up and runs the same setup again and again across a very large number of entries >That is how a small edge turns into a steep PnL curve Most profitable trades: $171 → $1,840 (+$1,668 +972.74%) $110 → $1,757 (+$1,647 +1,497.37%) $72 → $1,306 (+$1,234 +1,711.59%) What makes this stand out is not one lucky hit. It is the same repeatable pricing mistake, attacked early and recycled over and over until the gap closes

Daniro

22,807 просмотров • 3 месяцев назад

A trader built a Claude-powered quant bot. 40 days later: +$78,118 profit. Public wallet: Copytrade Stats: • +450.4% ROI • 26,505 predictions • 64% win rate • ~$1,953 profit/day • ~28 trades/hour The interesting part? It doesn't predict the future. It hunts mispriced odds. Over and over. Most traders wait for one huge move. This bot doesn't care. It finds markets where the probability hasn't caught up yet. Enters early. Exits when the gap closes. Repeats thousands of times. That's how small edges become massive PnL. Biggest wins: • $171 → $1,840 (+973%) • $110 → $1,757 (+1,497%) • $72 → $1,306 (+1,712%) One lucky trade can happen to anyone. 26,505 predictions can't. That's not luck. That's a system.
0:26

A trader built a Claude-powered quant bot. 40 days later: +$78,118 profit. Public wallet: Copytrade Stats: • +450.4% ROI • 26,505 predictions • 64% win rate • ~$1,953 profit/day • ~28 trades/hour The interesting part? It doesn't predict the future. It hunts mispriced odds. Over and over. Most traders wait for one huge move. This bot doesn't care. It finds markets where the probability hasn't caught up yet. Enters early. Exits when the gap closes. Repeats thousands of times. That's how small edges become massive PnL. Biggest wins: • $171 → $1,840 (+973%) • $110 → $1,757 (+1,497%) • $72 → $1,306 (+1,712%) One lucky trade can happen to anyone. 26,505 predictions can't. That's not luck. That's a system.

Discover

75,207 просмотров • 3 месяцев назад

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$96.31) > in 5 hours it showed +$579 PnL > current balance: +$3,799.73 Cost: 10M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below. Good luck!
0:41

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$96.31) > in 5 hours it showed +$579 PnL > current balance: +$3,799.73 Cost: 10M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below. Good luck!

Oracle Boar

155,656 просмотров • 2 месяцев назад

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$98.40) > in 5 hours it showed +$493 PnL > current balance: +$3,279.73 Cost: 7.5M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below.
0:39

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$98.40) > in 5 hours it showed +$493 PnL > current balance: +$3,279.73 Cost: 7.5M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below.

Oracle Boar

78,062 просмотров • 1 месяц назад

Anthropic released an update for Claude, and one student turned $1,400 into $238,000 in 11 days. His wallet: 0xdE17 He’s not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated Claude’s skills architecture, he spent two nights reading the documentation and built a bot from scratch. The result: $1,430 → $238,006 in 11 days 366 trades 62% win rate Largest single win: $52,700 How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from fair value by more than 8%. That’s the edge. Most people never notice it. The bot always does. The strategy is simple: The market prices an event at 30¢ The real probability based on data is closer to 55¢ The bot enters, waits, and exits as the market reprices It’s not 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 entered with $16,000. Exited at 81¢. In 11 days, he went through a journey most traders never experience in years. Now the wallet is public, and with this terminal you can copy the trades in real time: 0xde17f7144fbd0eddb2679132c10ff5e74b120988 Copytrade → People keep asking him: “How much starting capital do you need?” He answered: “I had $1,400 and a sleepless night.” Anthropic built the tool. He simply wasn’t afraid to use it.
1:00

Anthropic released an update for Claude, and one student turned $1,400 into $238,000 in 11 days. His wallet: 0xdE17 He’s not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated Claude’s skills architecture, he spent two nights reading the documentation and built a bot from scratch. The result: $1,430 → $238,006 in 11 days 366 trades 62% win rate Largest single win: $52,700 How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from fair value by more than 8%. That’s the edge. Most people never notice it. The bot always does. The strategy is simple: The market prices an event at 30¢ The real probability based on data is closer to 55¢ The bot enters, waits, and exits as the market reprices It’s not 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 entered with $16,000. Exited at 81¢. In 11 days, he went through a journey most traders never experience in years. Now the wallet is public, and with this terminal you can copy the trades in real time: 0xde17f7144fbd0eddb2679132c10ff5e74b120988 Copytrade → People keep asking him: “How much starting capital do you need?” He answered: “I had $1,400 and a sleepless night.” Anthropic built the tool. He simply wasn’t afraid to use it.

Discover

114,291 просмотров • 6 месяцев назад

If you think you need a big bankroll for a Polymarket bot - this guy made $160,000 with an average bet size of just $200. If you think you need to predict the future to run a profitable Polymarket bot - this guy makes money with pure mathematics. If you think it’s cap - every trade is on-chain, go check it yourself. Bot wallet: He doesn’t care where the price of BTC is going. All he does is methodically extract edge from the numbers. Both YES and NO shares will always be worth exactly $1 at market expiration. But are they worth exactly $1 while the market is still open? The answer is no. For example: YES at 70¢ + NO at 25¢ = 95¢ total. That 5¢ gap is free money. Repeat it ten thousand times.+$166,000 in two months. His active bankroll never exceeded a $10k, and risk per trade stayed at $200–300 the entire time. Mathematical. Methodical. Almost zero risk. This is how you actually get to the top of the leaderboard - not by guessing the future, but by exploiting inefficiencies. Want the full guide on how to build one? Save the post and read the article. Want to start copying the trades of a ready-made bot right now? Use this copy-trading solution:
0:30

If you think you need a big bankroll for a Polymarket bot - this guy made $160,000 with an average bet size of just $200. If you think you need to predict the future to run a profitable Polymarket bot - this guy makes money with pure mathematics. If you think it’s cap - every trade is on-chain, go check it yourself. Bot wallet: He doesn’t care where the price of BTC is going. All he does is methodically extract edge from the numbers. Both YES and NO shares will always be worth exactly $1 at market expiration. But are they worth exactly $1 while the market is still open? The answer is no. For example: YES at 70¢ + NO at 25¢ = 95¢ total. That 5¢ gap is free money. Repeat it ten thousand times.+$166,000 in two months. His active bankroll never exceeded a $10k, and risk per trade stayed at $200–300 the entire time. Mathematical. Methodical. Almost zero risk. This is how you actually get to the top of the leaderboard - not by guessing the future, but by exploiting inefficiencies. Want the full guide on how to build one? Save the post and read the article. Want to start copying the trades of a ready-made bot right now? Use this copy-trading solution:

cvxv666

48,661 просмотров • 5 месяцев назад

This guy used Claude to build a Quant Bot and made +$115,533 on Polymarket Since Mar 25, this wallet has been averaging about $1,409 in profit per day while running at roughly 29 trades per hour 56,703 predictions with a 60% win rate in 82 days This trader’s Polymarket account: The bot strategy is simple: >It keeps scanning for markets where the price has not fully caught up yet >enters before the repricing is complete and keeps deploying the same setup across a huge number of entries >the edge on each trade is small, but the constant repetition is what pushes the curve higher over time Most profitable trades: $1,166 → $2,288 (+$1,122, +96.19%) $737 → $1,731 (+$994, +134.96%) $838 → $1,821 (+$983, +117.4%) It is a repeatable high-frequency process that keeps turning delayed pricing into steady PnL
0:26

This guy used Claude to build a Quant Bot and made +$115,533 on Polymarket Since Mar 25, this wallet has been averaging about $1,409 in profit per day while running at roughly 29 trades per hour 56,703 predictions with a 60% win rate in 82 days This trader’s Polymarket account: The bot strategy is simple: >It keeps scanning for markets where the price has not fully caught up yet >enters before the repricing is complete and keeps deploying the same setup across a huge number of entries >the edge on each trade is small, but the constant repetition is what pushes the curve higher over time Most profitable trades: $1,166 → $2,288 (+$1,122, +96.19%) $737 → $1,731 (+$994, +134.96%) $838 → $1,821 (+$983, +117.4%) It is a repeatable high-frequency process that keeps turning delayed pricing into steady PnL

Daniro

31,221 просмотров • 3 месяцев назад

This guy used Claude to build a Quant Bot and made +$589,139 on Polymarket. 25,388 predictions with a 63% win rate in 77 days. That comes out to roughly $7,651 in profit per day and almost 14 trades per hour. With $217K in deposits, he is now up 2.7x. About +271.5% ROI. The bot strategy is simple: It finds markets where the pricing is still off. Gets in before the odds fully catch up. Repeats the same setup again and again across many entries. The edge on each trade is small. But scale and repetition turn it into a massive result. Most profitable trades: $17,839 → $36,318 (+$18,478, +103.58%) $3,112 → $15,011 (+$11,898, +382.22%) $10,676 → $22,178 (+$11,502, +107.74%) What makes it work is not one huge trade. It is the same small advantage, applied fast, applied often, and repeated until the pricing gap is gone. I reverse-engineered it. Had Claude rebuild the same logic. One prompt. 90 minutes. Fully deployed. You only need: Claude + a device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word PROFIT 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you
0:26

This guy used Claude to build a Quant Bot and made +$589,139 on Polymarket. 25,388 predictions with a 63% win rate in 77 days. That comes out to roughly $7,651 in profit per day and almost 14 trades per hour. With $217K in deposits, he is now up 2.7x. About +271.5% ROI. The bot strategy is simple: It finds markets where the pricing is still off. Gets in before the odds fully catch up. Repeats the same setup again and again across many entries. The edge on each trade is small. But scale and repetition turn it into a massive result. Most profitable trades: $17,839 → $36,318 (+$18,478, +103.58%) $3,112 → $15,011 (+$11,898, +382.22%) $10,676 → $22,178 (+$11,502, +107.74%) What makes it work is not one huge trade. It is the same small advantage, applied fast, applied often, and repeated until the pricing gap is gone. I reverse-engineered it. Had Claude rebuild the same logic. One prompt. 90 minutes. Fully deployed. You only need: Claude + a device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word PROFIT 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you

Himanshu Kumar

85,774 просмотров • 3 месяцев назад

One Claude-powered Quant Bot just made +$78,118 on Polymarket. Not from one lucky prediction. From 26,505 of them. The wallet started with $17.3K. 40 days later: → +450.4% ROI → 64% win rate → ~$1,953 profit per day → ~28 trades every hour Account: Copytrade Most traders wait for obvious opportunities. By then, the edge is gone. This bot does the opposite. It enters while the market is still figuring things out. Before the odds fully adjust. Before the crowd notices. Before the spread disappears. Then it repeats the process hundreds of times per day. The result: $171 → $1,840 (+972%) $110 → $1,757 (+1,497%) $72 → $1,306 (+1,711%) One trade can be luck. 26,505 trades is a process.
0:26

One Claude-powered Quant Bot just made +$78,118 on Polymarket. Not from one lucky prediction. From 26,505 of them. The wallet started with $17.3K. 40 days later: → +450.4% ROI → 64% win rate → ~$1,953 profit per day → ~28 trades every hour Account: Copytrade Most traders wait for obvious opportunities. By then, the edge is gone. This bot does the opposite. It enters while the market is still figuring things out. Before the odds fully adjust. Before the crowd notices. Before the spread disappears. Then it repeats the process hundreds of times per day. The result: $171 → $1,840 (+972%) $110 → $1,757 (+1,497%) $72 → $1,306 (+1,711%) One trade can be luck. 26,505 trades is a process.

Philanthrop

12,157 просмотров • 3 месяцев назад

I gave Claude one Polymarket equation and told it to find every mispriced contract It hasn't stopped running in 4 months $600 → $14,190 Every Polymarket contract is priced by one formula: C(q) = b × ln(Σ e^(qi / b)) The pricing function inside it is softmax - the same math Claude uses to pick its next token Claude doesn't just understand this equation, it thinks in it So I gave it a task: "Scan every open contract, compute fair value, flag anything the market has wrong 24/7" It finds the gap, sizes the position by Kelly, enters before the crowd corrects Market shows 0.38, math shows 0.57, bot buys Resolution hits, bot collects 120 days 61.2% win rate 2.31 sharpe -3.8% max drawdown 425 trades 87% of Polymarket wallets are underwater They trade feelings against a formula that doesn't bluff, doesn't tilt, doesn't chase losses The edge is having something that reads the math faster than any human - and never stops looking
0:28

I gave Claude one Polymarket equation and told it to find every mispriced contract It hasn't stopped running in 4 months $600 → $14,190 Every Polymarket contract is priced by one formula: C(q) = b × ln(Σ e^(qi / b)) The pricing function inside it is softmax - the same math Claude uses to pick its next token Claude doesn't just understand this equation, it thinks in it So I gave it a task: "Scan every open contract, compute fair value, flag anything the market has wrong 24/7" It finds the gap, sizes the position by Kelly, enters before the crowd corrects Market shows 0.38, math shows 0.57, bot buys Resolution hits, bot collects 120 days 61.2% win rate 2.31 sharpe -3.8% max drawdown 425 trades 87% of Polymarket wallets are underwater They trade feelings against a formula that doesn't bluff, doesn't tilt, doesn't chase losses The edge is having something that reads the math faster than any human - and never stops looking

rari

311,933 просмотров • 6 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.
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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

1,765,913 просмотров • 6 месяцев назад

This trader used Claude to build a Quant Bot and made +$232,136 on Polymarket Since Mar 25, this wallet has been averaging about $3,180 in profit per day and a little over 7 trades per hour 13,070 predictions with a 47% win rate in 73 days This trader’s Polymarket account: This trader has put in $248.9K in deposits, which puts him at roughly +93% ROI The bot strategy is simple: >It waits for prices to lag behind the move gets filled before the market fully catches up >Then keeps recycling the same setup across many entries >One trade is not the story here. The result comes from repeating the same edge over and over until it compounds into a large PnL Most profitable trades: $6,757 → $24,330 (+$17,573, +260.06%) $7,597 → $23,943 (+$16,346, +215.15%) $11,472 → $27,672 (+$16,200, +141.21%) It is a repeatable process: find the lag, enter early, and keep pressing the same advantage until the gap disappears
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This trader used Claude to build a Quant Bot and made +$232,136 on Polymarket Since Mar 25, this wallet has been averaging about $3,180 in profit per day and a little over 7 trades per hour 13,070 predictions with a 47% win rate in 73 days This trader’s Polymarket account: This trader has put in $248.9K in deposits, which puts him at roughly +93% ROI The bot strategy is simple: >It waits for prices to lag behind the move gets filled before the market fully catches up >Then keeps recycling the same setup across many entries >One trade is not the story here. The result comes from repeating the same edge over and over until it compounds into a large PnL Most profitable trades: $6,757 → $24,330 (+$17,573, +260.06%) $7,597 → $23,943 (+$16,346, +215.15%) $11,472 → $27,672 (+$16,200, +141.21%) It is a repeatable process: find the lag, enter early, and keep pressing the same advantage until the gap disappears

Daniro

54,383 просмотров • 3 месяцев назад

This trader used Claude to build a Quant Bot and made +$61,370 on Polymarket Since Mar 27, this wallet has been averaging roughly $820 in daily profit and a little over 20 trades per hour 36,611 predictions with a 50% win rate in 75 days This trader’s Polymarket account: The first deposit was $5.4K From that starting balance, the bot is up roughly +1,136% ROI Quant strategy is simple: > It does not wait around for one huge move > It keeps entering where short-term pricing is still behind the tape > Runs the same setup again and again across a large number of entries > Each trade on its own is not massive, but repetition is what builds the result Most profitable trades: $604 → $1,923 (+$1,319 +218.48%) $1,083 → $2,112 (+$1,029 +95%) $114 → $1,132 (+$1,018 +892.74%) It is a repeatable short-window process that keeps turning small pricing mistakes into steady PnL
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This trader used Claude to build a Quant Bot and made +$61,370 on Polymarket Since Mar 27, this wallet has been averaging roughly $820 in daily profit and a little over 20 trades per hour 36,611 predictions with a 50% win rate in 75 days This trader’s Polymarket account: The first deposit was $5.4K From that starting balance, the bot is up roughly +1,136% ROI Quant strategy is simple: > It does not wait around for one huge move > It keeps entering where short-term pricing is still behind the tape > Runs the same setup again and again across a large number of entries > Each trade on its own is not massive, but repetition is what builds the result Most profitable trades: $604 → $1,923 (+$1,319 +218.48%) $1,083 → $2,112 (+$1,029 +95%) $114 → $1,132 (+$1,018 +892.74%) It is a repeatable short-window process that keeps turning small pricing mistakes into steady PnL

Daniro

11,958 просмотров • 3 месяцев назад

The question of whether Polymarket will ban bots is not what you should be thinking about. The right question is how one Python bot manages to make $736K a week. I'm talking about the wallet SeriouslySirius. Its stats look like a glitch in the matrix 400K% ROI and over $3.8M in net profit. His profile: Here's how it works. There's no magic or gut feeling for picking winners. It's pure math and algorithms. The secret behind the strategy: It doesn't guess outcomes. The bot doesn't try to figure out who will win. It trades price differences. Only liquid markets. NFL and NBA. Huge volumes there so you can enter a $500K position without crashing the market instantly. Vegas as the benchmark. The bot is tied to Vegas bookmaker lines not to crowd emotions on Polymarket. Catching lag. This is the real juice. When a Vegas line moves by 0.5 to 1 point Polymarket lags for a few minutes. The bot sees this movement before everyone else and jumps into the trade while the platform price hasn't caught up yet. This gives 3 to 8 cents of guaranteed profit per dollar. Buying underdogs. If the crowd overvalues the favorite the bot buys the underdog below 50 cents and just waits for the market to correct the price. Will it get banned? Probably not. The bot doesn't break the system it makes it more efficient by adding liquidity. Essentially this is not a gambler but a high frequency hedge fund operating on sports events. This is an example of how Python code and understanding market mechanics beats any expert analysis. Copying this manually is almost impossible because you simply can't keep up with the robot in those 2 to 3 minutes when the opportunity window opens. But the logic itself of looking for price mismatches relative to Vegas is a solid approach. Tracking wallets that repeat this execution pattern is easier with PolyCop
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The question of whether Polymarket will ban bots is not what you should be thinking about. The right question is how one Python bot manages to make $736K a week. I'm talking about the wallet SeriouslySirius. Its stats look like a glitch in the matrix 400K% ROI and over $3.8M in net profit. His profile: Here's how it works. There's no magic or gut feeling for picking winners. It's pure math and algorithms. The secret behind the strategy: It doesn't guess outcomes. The bot doesn't try to figure out who will win. It trades price differences. Only liquid markets. NFL and NBA. Huge volumes there so you can enter a $500K position without crashing the market instantly. Vegas as the benchmark. The bot is tied to Vegas bookmaker lines not to crowd emotions on Polymarket. Catching lag. This is the real juice. When a Vegas line moves by 0.5 to 1 point Polymarket lags for a few minutes. The bot sees this movement before everyone else and jumps into the trade while the platform price hasn't caught up yet. This gives 3 to 8 cents of guaranteed profit per dollar. Buying underdogs. If the crowd overvalues the favorite the bot buys the underdog below 50 cents and just waits for the market to correct the price. Will it get banned? Probably not. The bot doesn't break the system it makes it more efficient by adding liquidity. Essentially this is not a gambler but a high frequency hedge fund operating on sports events. This is an example of how Python code and understanding market mechanics beats any expert analysis. Copying this manually is almost impossible because you simply can't keep up with the robot in those 2 to 3 minutes when the opportunity window opens. But the logic itself of looking for price mismatches relative to Vegas is a solid approach. Tracking wallets that repeat this execution pattern is easier with PolyCop

Blaze

26,369 просмотров • 8 месяцев назад

THIS WALLET STACKED $230K ON BTC UP/DOWN BETS. THE BLUEPRINT TO AUTOMATE THE SAME EDGE WITH CLAUDE The wallet is $230K all-time, every position a Bitcoin or Ethereum Up or Down market It never guesses direction. It enters only when the math and the market disagree THE STRATEGY: BTC moves are not fully random. When the market enters a committed directional state, continuation is measurable. That is Markov persistence Entry signal: > Δ = p̂ − q ≥ ε Model probability minus market price. Enter only on a 5% gap or more Persistence filter: > p(j*,j*) ≥ 0.87 Only trade states with 0.87 persistence or higher. Below that, skip. This is what holds the win rate above 65% with zero directional guessing Payout: > r = (1 − q) / q At q = 0.647 that is +54.5% a win. At q = 0.441, +126.7%. Lower entry price, bigger asymmetry Sizing: > f* = p − (1−p)/b Kelly. At p = 0.87, b = 0.647, f* ≈ 0.71. Size to the edge, never to gut HOW TO BUILD IT WITH CLAUDE: What separates this from a static bot: Claude reads its own trade journal every night and rewrites its own thresholds 1. Take an open-source Polymarket bot repo as your base logic. Feed it to Claude and have it migrate to CLOB v2: py_clob_client_v2, Safe wallet support, fee-aware evaluation 2. Hard-code the filters. Enter only when Δ ≥ 0.05 and p(j*,j*) ≥ 0.87. Apply Kelly on every fill. 3. Run DRY_RUN first. Log every signal, entry price, Markov state, and simulated P/L. No real money until the numbers hold for days 4. The nightly loop. Claude reads the journal, finds which persistence states actually won, adjusts MIN_PROB and MIN_EDGE, ships tomorrow's rules. The agent is sharper after 50 to 100 trades THE SETUP: Claude Opus as the brain. An open-source repo as the starting logic. A Polygon wallet with $50 to $100. Telegram for the morning report Start at $1 to $2 per trade while it learns. Scale only when the dry runs and the live fills line up 17,000 trades compound a thin edge into six figures. The model finds the edge. The nightly loop keeps it sharp Bookmark before you point a bot at your first window
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THIS WALLET STACKED $230K ON BTC UP/DOWN BETS. THE BLUEPRINT TO AUTOMATE THE SAME EDGE WITH CLAUDE The wallet is $230K all-time, every position a Bitcoin or Ethereum Up or Down market It never guesses direction. It enters only when the math and the market disagree THE STRATEGY: BTC moves are not fully random. When the market enters a committed directional state, continuation is measurable. That is Markov persistence Entry signal: > Δ = p̂ − q ≥ ε Model probability minus market price. Enter only on a 5% gap or more Persistence filter: > p(j*,j*) ≥ 0.87 Only trade states with 0.87 persistence or higher. Below that, skip. This is what holds the win rate above 65% with zero directional guessing Payout: > r = (1 − q) / q At q = 0.647 that is +54.5% a win. At q = 0.441, +126.7%. Lower entry price, bigger asymmetry Sizing: > f* = p − (1−p)/b Kelly. At p = 0.87, b = 0.647, f* ≈ 0.71. Size to the edge, never to gut HOW TO BUILD IT WITH CLAUDE: What separates this from a static bot: Claude reads its own trade journal every night and rewrites its own thresholds 1. Take an open-source Polymarket bot repo as your base logic. Feed it to Claude and have it migrate to CLOB v2: py_clob_client_v2, Safe wallet support, fee-aware evaluation 2. Hard-code the filters. Enter only when Δ ≥ 0.05 and p(j*,j*) ≥ 0.87. Apply Kelly on every fill. 3. Run DRY_RUN first. Log every signal, entry price, Markov state, and simulated P/L. No real money until the numbers hold for days 4. The nightly loop. Claude reads the journal, finds which persistence states actually won, adjusts MIN_PROB and MIN_EDGE, ships tomorrow's rules. The agent is sharper after 50 to 100 trades THE SETUP: Claude Opus as the brain. An open-source repo as the starting logic. A Polygon wallet with $50 to $100. Telegram for the morning report Start at $1 to $2 per trade while it learns. Scale only when the dry runs and the live fills line up 17,000 trades compound a thin edge into six figures. The model finds the edge. The nightly loop keeps it sharp Bookmark before you point a bot at your first window

Yarchi

22,966 просмотров • 4 месяцев назад

This bot made +$21,000 in 3 weeks trading on weather markets! Account: 7,424 trades. +$1,000/day. Strategy: arbitrage on the most probable outcomes. Example: market Highest temperature in Dallas on April 12: > buys 74°F or higher Yes at 64.6¢ for $2,187 > buys 72-73°F Yes at 21.4¢ for $738 > buys 70-71°F Yes at 9.4¢ for $282 The lower the probability, the smaller the position size. Result: the second bet 72-73°F Yes hits and returns +$2,715. Net profit: $2,715 - $2,187 - $282 = +$246 From one cycle! Risks: > if a very low-probability outcome hits (e.g., 1¢) that the bot didn’t bet on > if the bot overallocates to high-probability outcomes and underallocates to low-probability ones, and the low-probability outcome wins To reduce such mistakes, the bot uses the Kelly Criterion. Capital allocation per market is proportional to outcome probability and edge over the market. Simply: > higher probability -> larger bet > lower probability -> smaller bet The expected value (EV) of this strategy is positive. This does not guarantee profit in a single cycle - only over many repetitions. I described this logic in more detail in the article. Save it.
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This bot made +$21,000 in 3 weeks trading on weather markets! Account: 7,424 trades. +$1,000/day. Strategy: arbitrage on the most probable outcomes. Example: market Highest temperature in Dallas on April 12: > buys 74°F or higher Yes at 64.6¢ for $2,187 > buys 72-73°F Yes at 21.4¢ for $738 > buys 70-71°F Yes at 9.4¢ for $282 The lower the probability, the smaller the position size. Result: the second bet 72-73°F Yes hits and returns +$2,715. Net profit: $2,715 - $2,187 - $282 = +$246 From one cycle! Risks: > if a very low-probability outcome hits (e.g., 1¢) that the bot didn’t bet on > if the bot overallocates to high-probability outcomes and underallocates to low-probability ones, and the low-probability outcome wins To reduce such mistakes, the bot uses the Kelly Criterion. Capital allocation per market is proportional to outcome probability and edge over the market. Simply: > higher probability -> larger bet > lower probability -> smaller bet The expected value (EV) of this strategy is positive. This does not guarantee profit in a single cycle - only over many repetitions. I described this logic in more detail in the article. Save it.

me_cool_off

15,828 просмотров • 4 месяцев назад

This guy built an HFT bot on Polymarket with Claude Result: +$174,125 in 2 months His bot trades 5 and 15-minute crypto Up/Down markets using a directional strategy with a dynamic hedge: 1. Constantly calculates its own probability for Up and Down 2. Buys the side where its model sees an edge 3. When the underlying asset reverses, it doesn’t close the position. Instead, it starts accumulating the opposite outcome This is how the algorithm constantly changes its net exposure inside each market The opposite side is used as a dynamic hedge, while the remaining exposure forms the directional position > Average trade: $14.68 > Trades/active hour: 131 > Win Rate: 52% His Polymarket account: This bot constantly recalculates probabilities and adapts its position to every new market move Using this strategy, it captures a micro edge and steadily grows its capital Save this so you don’t lose it
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This guy built an HFT bot on Polymarket with Claude Result: +$174,125 in 2 months His bot trades 5 and 15-minute crypto Up/Down markets using a directional strategy with a dynamic hedge: 1. Constantly calculates its own probability for Up and Down 2. Buys the side where its model sees an edge 3. When the underlying asset reverses, it doesn’t close the position. Instead, it starts accumulating the opposite outcome This is how the algorithm constantly changes its net exposure inside each market The opposite side is used as a dynamic hedge, while the remaining exposure forms the directional position > Average trade: $14.68 > Trades/active hour: 131 > Win Rate: 52% His Polymarket account: This bot constantly recalculates probabilities and adapts its position to every new market move Using this strategy, it captures a micro edge and steadily grows its capital Save this so you don’t lose it

VALIX

27,231 просмотров • 1 месяц назад

Polymarket front run bot Spent the last month building the backend for this bot which essentially acts the same way that high frequency trading bots work in the stock market It waits for a market buy order to come through where there is thin liquidity in the order book meaning their market buy will push the price up of a YES/NO contract meaning that if my bot buys the contracts first then I can sell them at the high price to the market buy order before their orders have gone through Prediction markets are still early enough to find opportunities like this, just like how the early days of stock trading similar bots to this were invented It is essentially an arbitrage strategy, will make the bot public and free to a few people tomorrow so turn on notifications so you don’t miss it
1:54

Polymarket front run bot Spent the last month building the backend for this bot which essentially acts the same way that high frequency trading bots work in the stock market It waits for a market buy order to come through where there is thin liquidity in the order book meaning their market buy will push the price up of a YES/NO contract meaning that if my bot buys the contracts first then I can sell them at the high price to the market buy order before their orders have gone through Prediction markets are still early enough to find opportunities like this, just like how the early days of stock trading similar bots to this were invented It is essentially an arbitrage strategy, will make the bot public and free to a few people tomorrow so turn on notifications so you don’t miss it

Ethan

71,943 просмотров • 9 месяцев назад

He built a trading bot on Polymarket with Claude Result: +$198,045 in 4 months His bot trades the microstructure of short-term crypto Up/Down markets using a hybrid high-frequency strategy with 3 core elements: 1. Builds a directional position by choosing the Up or Down outcome that is currently undervalued relative to his model 2. If the market movement changes, it starts buying the opposite side as a hedge or to flip the position 3. If it sees an arbitrage opportunity, it builds a full set of Up and Down His Polymarket account: Using this strategy, he captures a consistent edge and repeats it thousands of times That’s how he keeps growing his capital
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He built a trading bot on Polymarket with Claude Result: +$198,045 in 4 months His bot trades the microstructure of short-term crypto Up/Down markets using a hybrid high-frequency strategy with 3 core elements: 1. Builds a directional position by choosing the Up or Down outcome that is currently undervalued relative to his model 2. If the market movement changes, it starts buying the opposite side as a hedge or to flip the position 3. If it sees an arbitrage opportunity, it builds a full set of Up and Down His Polymarket account: Using this strategy, he captures a consistent edge and repeats it thousands of times That’s how he keeps growing his capital

VALIX

28,577 просмотров • 1 месяц назад