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A bug cost him $200,000 in five days. One week later, the same bot made $95,000 in a single day. Nothing changed about the market. He changed the brain. His wallet: Copytrade: The old system missed one corrupted data feed. The bot kept buying a bad position. Losses snowballed....

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Discover

83,007 subscribers

23,131 просмотров • 3 месяцев назад •via X (Twitter)

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Комментарии: 8

Фото профиля TokenTrekker
TokenTrekker3 месяцев назад

bro went from rookie to speedrun legend

Фото профиля dopo.eth 💸
dopo.eth 💸3 месяцев назад

brutal reality check 🫡

Фото профиля Khadarba
Khadarba3 месяцев назад

After making $95,000 in a single day, the bot's wallet was affected by a corrupted data feed.

Фото профиля 吸血姫るぅ🥀
吸血姫るぅ🥀3 месяцев назад

バグで大損したあと脳変えただけで9万5千ドル…妾も安いAI弄って通知来たら手数料だけすうっと減って指冷えたわ。興奮冷めて畳の冷たさ感じながら古い着物握りしめた夜じゃった。

Фото профиля Crafty Fox
Crafty Fox3 месяцев назад

Bro basically turned one prompt into a small business department

Фото профиля David Anthony Boyle
David Anthony Boyle3 месяцев назад

Checkme

Фото профиля SLOT.WIN
SLOT.WIN3 месяцев назад

i saw the same pattern in my casino’s baccarat tables, one tiny flaw flipped everything edge is just repetition with better instincts

Фото профиля Lino Petrillo
Lino Petrillo3 месяцев назад

Most people use Ai wrong. Try this: "Act as a business consultant. Give me 3 online business ideas I can start with $0 and a 30-day plan." Better prompts = better results. 500+ copy-paste AI prompts 👇

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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

US export-control disable Claude Fable 5 overnight. Not for what it said - for what one trader did with it. He turned an $11,000 wreck into $300,000 profit in five days. Then they pulled Claude Fable 5 from public hands. Too late - his bot's still running. His wallet: Every other Claude model still works. The two best ones don't. Anthropic's calling it a misunderstanding. Maybe. But think about what gets a model killed by export control overnight, no warning. Here's what Fable 5 actually did for him. It doesn't predict price. It computes the whole probability surface of a market - every outcome, weighted, faster than the market can correct itself. It finds the bets the crowd writes off as impossible, runs the real math, and buys them for pennies when the math disagrees. One of those just paid x205. A regular guy, a model this sharp, a market no regulator polices. They closed that door overnight - one night too late. He's holding one of the last builds that ever touched a live market. It's still on Polymarket right now, hunting the same mispriced tails. Fable 5 is locked. The algorithm it wrote is loose. You can't open the model anymore. You can still copy the wallet it built in two clicks:
0:46

US export-control disable Claude Fable 5 overnight. Not for what it said - for what one trader did with it. He turned an $11,000 wreck into $300,000 profit in five days. Then they pulled Claude Fable 5 from public hands. Too late - his bot's still running. His wallet: Every other Claude model still works. The two best ones don't. Anthropic's calling it a misunderstanding. Maybe. But think about what gets a model killed by export control overnight, no warning. Here's what Fable 5 actually did for him. It doesn't predict price. It computes the whole probability surface of a market - every outcome, weighted, faster than the market can correct itself. It finds the bets the crowd writes off as impossible, runs the real math, and buys them for pennies when the math disagrees. One of those just paid x205. A regular guy, a model this sharp, a market no regulator polices. They closed that door overnight - one night too late. He's holding one of the last builds that ever touched a live market. It's still on Polymarket right now, hunting the same mispriced tails. Fable 5 is locked. The algorithm it wrote is loose. You can't open the model anymore. You can still copy the wallet it built in two clicks:

cvxv666

77,366 просмотров • 3 месяцев 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

A TRADER USED CLAUDE FABLE 5 TO TURN AN $11,000 LOSS INTO $300,000 IN FIVE DAYS AND THEN THE GOVERNMENT PULLED THE MODEL Fable 5 wasn't predicting prices. It was computing the full probability surface of a market, every outcome weighted, faster than the market could correct itself. One of those bets paid x205. The model is gone. The algorithm it wrote is still running on Polymarket right now.
0:46

A TRADER USED CLAUDE FABLE 5 TO TURN AN $11,000 LOSS INTO $300,000 IN FIVE DAYS AND THEN THE GOVERNMENT PULLED THE MODEL Fable 5 wasn't predicting prices. It was computing the full probability surface of a market, every outcome weighted, faster than the market could correct itself. One of those bets paid x205. The model is gone. The algorithm it wrote is still running on Polymarket right now.

0xMarioNawfal

114,591 просмотров • 3 месяцев назад

A security guard turned $900 into $187,000 on Polymarket. Guarded empty buildings for 10 years at $16/hour. One sleepless shift he built a BTC bot with Claude Opus 4.8. Never wrote a single line of code. I found his wallet. Reverse-engineered the entire system. Here is what he actually did. Gave Claude new Fable 5 two prompts at the start of his shift. Opus did not write the bot. It drew the blueprint: data, signals, backtest, risk, execution. Then handed that blueprint to a swarm of 300 agents. How it works: → Decompose: Claude Fable 5 breaks the goal into a task tree → Dispatch: 300 agents fan out (some pulling Binance data, some writing code, some backtesting 5 years of data) → Execute: 4,000 steps in one 14-hour run → Review: Claude Fable 5 reads it all back and kills whatever drifted The brain never wrote a line. The hands never made a call. By sunrise he had what a 6-engineer quant team ships in a quarter. A live BTC bot on Polymarket. Backtested. Risk-capped. Running 24/7. For 10 years he watched empty buildings. Now 300 agents watch the market while he sleeps. I rebuilt this exact system with Claude new Fable 5 You only need Claude + device + 1 hour to deploy. Giving this free for 24 hours. To get it: 1. Comment "Claude" 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you
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A security guard turned $900 into $187,000 on Polymarket. Guarded empty buildings for 10 years at $16/hour. One sleepless shift he built a BTC bot with Claude Opus 4.8. Never wrote a single line of code. I found his wallet. Reverse-engineered the entire system. Here is what he actually did. Gave Claude new Fable 5 two prompts at the start of his shift. Opus did not write the bot. It drew the blueprint: data, signals, backtest, risk, execution. Then handed that blueprint to a swarm of 300 agents. How it works: → Decompose: Claude Fable 5 breaks the goal into a task tree → Dispatch: 300 agents fan out (some pulling Binance data, some writing code, some backtesting 5 years of data) → Execute: 4,000 steps in one 14-hour run → Review: Claude Fable 5 reads it all back and kills whatever drifted The brain never wrote a line. The hands never made a call. By sunrise he had what a 6-engineer quant team ships in a quarter. A live BTC bot on Polymarket. Backtested. Risk-capped. Running 24/7. For 10 years he watched empty buildings. Now 300 agents watch the market while he sleeps. I rebuilt this exact system with Claude new Fable 5 You only need Claude + device + 1 hour to deploy. Giving this free for 24 hours. To get it: 1. Comment "Claude" 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you

Himanshu Kumar

54,953 просмотров • 3 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.
1:01

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

I asked **ChatGPT, Claude, Gemini, and Grok the same question: “Find a wallet making $10K+ per day with the highest consistency.” Results: ChatGPT → no live data Gemini → 3 wallets (inactive) Claude → script needed API Grok returned one wallet in 11 seconds. “This one hasn’t had a losing week since December.” Stats: • $1,436,159 profit • 37,552 trades • ~375 trades/day Wallet → Copytrade → The strategy? It trades latency between Binance and Polymarket. Entries happen 9–16 seconds after a >0.11% move in Bitcoin. Never earlier. Never later. Likely code size: ~20 lines. • Binance WebSocket • price comparison • buy trigger • sleep timer 20 lines of code → $1.4M profit. But the real twist: This isn’t one bot. Grok estimates at least 11 wallets run the same logic. You’re just seeing the one that got noticed.
1:07

I asked **ChatGPT, Claude, Gemini, and Grok the same question: “Find a wallet making $10K+ per day with the highest consistency.” Results: ChatGPT → no live data Gemini → 3 wallets (inactive) Claude → script needed API Grok returned one wallet in 11 seconds. “This one hasn’t had a losing week since December.” Stats: • $1,436,159 profit • 37,552 trades • ~375 trades/day Wallet → Copytrade → The strategy? It trades latency between Binance and Polymarket. Entries happen 9–16 seconds after a >0.11% move in Bitcoin. Never earlier. Never later. Likely code size: ~20 lines. • Binance WebSocket • price comparison • buy trigger • sleep timer 20 lines of code → $1.4M profit. But the real twist: This isn’t one bot. Grok estimates at least 11 wallets run the same logic. You’re just seeing the one that got noticed.

Discover

111,334 просмотров • 6 месяцев назад

This trader reportedly made $90,000 in one day after using Claude Fable 5 to test 600 strategies in 48 hours. He was not smarter than Wall Street. He simply killed bad ideas thousands of times faster. His old backtesting system needed nearly a week to evaluate one strategy. Claude Fable 5 reportedly reduced the same process to around two minutes, letting him test hundreds of ideas over a single weekend. The results were brutal. 597 strategies failed. Only 3 survived. Those three were then deployed into live Polymarket trading and reportedly generated $90,000 in one day. The real edge was not discovering one brilliant strategy. It was eliminating almost every weak strategy before real money touched the market. His process started with a simple rule: “When the order book leans 70/30 during the final 90 seconds, buy the UP side.” Fable 5 then replayed that rule tick by tick across thousands of settled markets, including real order books, fills, liquidity and slippage. Two minutes later, the system could show whether the idea had any chance of surviving. The three successful strategies now reportedly run through MiroFish, use Kelly-based position sizing and only enter when simulated expectations diverge from the live market. That is what makes AI quant trading powerful. It does not instantly turn someone into a trading genius. It gives them far more attempts to test ideas, reject weak setups and identify the few patterns that remain profitable after realistic simulation. A traditional fund might test 20 strategies in a quarter. He tested 600 in one weekend. The advantage was not better intuition. It was faster elimination.
0:47

This trader reportedly made $90,000 in one day after using Claude Fable 5 to test 600 strategies in 48 hours. He was not smarter than Wall Street. He simply killed bad ideas thousands of times faster. His old backtesting system needed nearly a week to evaluate one strategy. Claude Fable 5 reportedly reduced the same process to around two minutes, letting him test hundreds of ideas over a single weekend. The results were brutal. 597 strategies failed. Only 3 survived. Those three were then deployed into live Polymarket trading and reportedly generated $90,000 in one day. The real edge was not discovering one brilliant strategy. It was eliminating almost every weak strategy before real money touched the market. His process started with a simple rule: “When the order book leans 70/30 during the final 90 seconds, buy the UP side.” Fable 5 then replayed that rule tick by tick across thousands of settled markets, including real order books, fills, liquidity and slippage. Two minutes later, the system could show whether the idea had any chance of surviving. The three successful strategies now reportedly run through MiroFish, use Kelly-based position sizing and only enter when simulated expectations diverge from the live market. That is what makes AI quant trading powerful. It does not instantly turn someone into a trading genius. It gives them far more attempts to test ideas, reject weak setups and identify the few patterns that remain profitable after realistic simulation. A traditional fund might test 20 strategies in a quarter. He tested 600 in one weekend. The advantage was not better intuition. It was faster elimination.

Secta

85,453 просмотров • 2 месяцев назад

This trader built a bot with Claude Fable 5 and made $96,000 on Polymarket. Average trade size: $3. The bot trades crypto Up/Down markets using a hybrid strategy that combines two-sided market making, arbitrage, and directional trading. The strategy has 5 steps: 1. Monitors multiple crypto markets continuously The bot tracks BTC, ETH, and SOL price action in real-time across different time windows. 2. Calculates its own fair probability for Up and Down No reliance on Polymarket prices. The bot builds its own model and compares it to the order book. 3. Places orders at prices that keep the combined cost of Up + Down below $1 This is the arbitrage edge. If Up costs 0.52 and Down costs 0.49, total is 1.01. The bot waits. When total drops below 1.00, it enters. 4. Manages the unhedged portion of the position After capturing arbitrage, the bot actively manages remaining exposure instead of holding passively. 5. Keeps directional exposure when its model identifies one outcome as undervalued When the bot sees clear mispricing, it leans into the undervalued side and holds until the edge closes. The entire edge is repeating small wins thousands of times. With an average trade size of $3, the bot captures micro-edges that manual traders ignore. No emotions. No hesitation. Just calculated entries repeated at scale until they compound into serious profit. Most people try to make big bets and predict major moves. This system just identifies tiny mispricings, enters with $3 average positions, and repeats the process until it grows the account. $96K profit built on thousands of $3 trades. The system runs autonomous: → Claude Fable 5 handles 5-step decision logic → Monitors multiple crypto markets 24/7 → Calculates fair probability independent of Polymarket prices → Enters when combined Up + Down cost drops below $1 → Manages unhedged positions actively → Holds directional exposure when model sees clear edge No manual trading. No guessing. Just finding micro-edges and exploiting them thousands of times. 💡 I'm sharing the complete Claude Fable 5 prompt and 5-step hybrid trading workflow. Free for 24 hours. To get it: 1️⃣ Comment the "Claude" 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar I'll DM you the setup.
0:32

This trader built a bot with Claude Fable 5 and made $96,000 on Polymarket. Average trade size: $3. The bot trades crypto Up/Down markets using a hybrid strategy that combines two-sided market making, arbitrage, and directional trading. The strategy has 5 steps: 1. Monitors multiple crypto markets continuously The bot tracks BTC, ETH, and SOL price action in real-time across different time windows. 2. Calculates its own fair probability for Up and Down No reliance on Polymarket prices. The bot builds its own model and compares it to the order book. 3. Places orders at prices that keep the combined cost of Up + Down below $1 This is the arbitrage edge. If Up costs 0.52 and Down costs 0.49, total is 1.01. The bot waits. When total drops below 1.00, it enters. 4. Manages the unhedged portion of the position After capturing arbitrage, the bot actively manages remaining exposure instead of holding passively. 5. Keeps directional exposure when its model identifies one outcome as undervalued When the bot sees clear mispricing, it leans into the undervalued side and holds until the edge closes. The entire edge is repeating small wins thousands of times. With an average trade size of $3, the bot captures micro-edges that manual traders ignore. No emotions. No hesitation. Just calculated entries repeated at scale until they compound into serious profit. Most people try to make big bets and predict major moves. This system just identifies tiny mispricings, enters with $3 average positions, and repeats the process until it grows the account. $96K profit built on thousands of $3 trades. The system runs autonomous: → Claude Fable 5 handles 5-step decision logic → Monitors multiple crypto markets 24/7 → Calculates fair probability independent of Polymarket prices → Enters when combined Up + Down cost drops below $1 → Manages unhedged positions actively → Holds directional exposure when model sees clear edge No manual trading. No guessing. Just finding micro-edges and exploiting them thousands of times. 💡 I'm sharing the complete Claude Fable 5 prompt and 5-step hybrid trading workflow. Free for 24 hours. To get it: 1️⃣ Comment the "Claude" 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar I'll DM you the setup.

Himanshu Kumar

102,688 просмотров • 1 месяц назад

A few weeks ago the US government forced Claude Fable 5 offline. It's back. And before they switch it off again, this is your shot to point the most powerful AI on earth at something of your own. Take the 26-year-old in Toronto. His bot went dark the day Fable 5 got pulled. The day it came back, it woke up and started printing again - $568,000 profit and counting. His wallet: Here's the story. When the ban hit, Anthropic had to switch Fable 5 off for everyone. They called it a misunderstanding with the government. Whatever it was, every bot running on that model stopped cold. His was one of them. He didn't rebuild a thing. The loop just sat there, paused, for weeks. Here's what that loop actually does. It's not one prompt to an AI. It's an agentic loop: a team of agents running on repeat. One reads the market, one places the trade, one tries to prove it wrong before a cent moves. Then it goes again, around the clock, keeping what works and dropping what doesn't. Fable 5 is the brain running that team. The exact model the government decided was too powerful to leave on. Point it at Bitcoin's 5-minute markets and it barely misses. Most of its trades close green, and it runs itself. He checks it from his phone. The government could switch off the model. It couldn't switch off the idea. Now the model's back, and so is the money. Save this before next headline. You'll want it the day Fable 5 hits offline again.
0:39

A few weeks ago the US government forced Claude Fable 5 offline. It's back. And before they switch it off again, this is your shot to point the most powerful AI on earth at something of your own. Take the 26-year-old in Toronto. His bot went dark the day Fable 5 got pulled. The day it came back, it woke up and started printing again - $568,000 profit and counting. His wallet: Here's the story. When the ban hit, Anthropic had to switch Fable 5 off for everyone. They called it a misunderstanding with the government. Whatever it was, every bot running on that model stopped cold. His was one of them. He didn't rebuild a thing. The loop just sat there, paused, for weeks. Here's what that loop actually does. It's not one prompt to an AI. It's an agentic loop: a team of agents running on repeat. One reads the market, one places the trade, one tries to prove it wrong before a cent moves. Then it goes again, around the clock, keeping what works and dropping what doesn't. Fable 5 is the brain running that team. The exact model the government decided was too powerful to leave on. Point it at Bitcoin's 5-minute markets and it barely misses. Most of its trades close green, and it runs itself. He checks it from his phone. The government could switch off the model. It couldn't switch off the idea. Now the model's back, and so is the money. Save this before next headline. You'll want it the day Fable 5 hits offline again.

cvxv666

24,298 просмотров • 2 месяцев назад

AWS just sent me a $47 bill. I hadn’t used it in 8 months. Logged in to shut everything down… Found one tiny EC2 instance still running. Micro. $0.0058/hour. I was about to terminate it. Then I checked the logs. A bot. Running 24/7 since February. Connected to Binance + a prediction market API. Executing trades every ~3 minutes. I pulled the wallet from the config: $339,140 profit. 38,945 trades. ~800 trades/day. → Copytrade: What it does is stupidly simple: • Reads BTC price from Binance • Compares with lagging prediction market price • Buys the outdated price • Collects ~$1 per trade • Repeats The entire code: 26 lines of Python. No comments. No README. Just execution. Total profit: $339K Server cost: $47/month ROI on the server alone: 721,000%+ Checked SSH logs. One login. Vietnam IP. February. They didn’t steal anything. Didn’t mine crypto. Just deployed a script… and left. I didn’t shut it down. Changed the password. Sat there reading logs for 2 hours. The bot is still running. Wallet still active. $113K currently in open positions. My forgotten $47 AWS server turned into the most profitable bill I never meant to pay.
1:03

AWS just sent me a $47 bill. I hadn’t used it in 8 months. Logged in to shut everything down… Found one tiny EC2 instance still running. Micro. $0.0058/hour. I was about to terminate it. Then I checked the logs. A bot. Running 24/7 since February. Connected to Binance + a prediction market API. Executing trades every ~3 minutes. I pulled the wallet from the config: $339,140 profit. 38,945 trades. ~800 trades/day. → Copytrade: What it does is stupidly simple: • Reads BTC price from Binance • Compares with lagging prediction market price • Buys the outdated price • Collects ~$1 per trade • Repeats The entire code: 26 lines of Python. No comments. No README. Just execution. Total profit: $339K Server cost: $47/month ROI on the server alone: 721,000%+ Checked SSH logs. One login. Vietnam IP. February. They didn’t steal anything. Didn’t mine crypto. Just deployed a script… and left. I didn’t shut it down. Changed the password. Sat there reading logs for 2 hours. The bot is still running. Wallet still active. $113K currently in open positions. My forgotten $47 AWS server turned into the most profitable bill I never meant to pay.

Phantom_Defi

11,066 просмотров • 6 месяцев назад

How MiroFish helped me make $669/day on Polymarket One week ago I plugged a swarm intelligence engine into my Polymarket bot. It simulates 2,847 digital humans before every trade. The bot watches how they behave, then bets against the real crowd. 338 trades. $4,266 profit. One position returned 1,655% in five minutes. The engine is called MiroFish. It doesn't predict price. It predicts how people will react and on a prediction market, that's the only thing that matters. I feed it market context. It builds a parallel world. Thousands of AI agents argue, form groups, shift opinions. When their consensus diverges from what Polymarket is pricing, the bot enters. 5-minute windows. BTC, ETH, SOL, XRP. I've been running the bot live on What MiroFish actually is: > Built in 10 days by a 20-year-old undergraduate in Beijing using vibe coding > Hit #1 on GitHub's global trending above OpenAI, Google, and Microsoft > Backed by Chen Tianqiao, former richest man in China, who committed $4.1M within 24 hours of seeing one demo > Runs on OASIS by CAMEL-AI with GraphRAG knowledge graphs and Zep Cloud memory The edge is simple. Polymarket is a crowd behavior market. MiroFish is a crowd behavior simulator. Nobody is connecting the two yet.
0:40

How MiroFish helped me make $669/day on Polymarket One week ago I plugged a swarm intelligence engine into my Polymarket bot. It simulates 2,847 digital humans before every trade. The bot watches how they behave, then bets against the real crowd. 338 trades. $4,266 profit. One position returned 1,655% in five minutes. The engine is called MiroFish. It doesn't predict price. It predicts how people will react and on a prediction market, that's the only thing that matters. I feed it market context. It builds a parallel world. Thousands of AI agents argue, form groups, shift opinions. When their consensus diverges from what Polymarket is pricing, the bot enters. 5-minute windows. BTC, ETH, SOL, XRP. I've been running the bot live on What MiroFish actually is: > Built in 10 days by a 20-year-old undergraduate in Beijing using vibe coding > Hit #1 on GitHub's global trending above OpenAI, Google, and Microsoft > Backed by Chen Tianqiao, former richest man in China, who committed $4.1M within 24 hours of seeing one demo > Runs on OASIS by CAMEL-AI with GraphRAG knowledge graphs and Zep Cloud memory The edge is simple. Polymarket is a crowd behavior market. MiroFish is a crowd behavior simulator. Nobody is connecting the two yet.

BuBBliK

125,310 просмотров • 6 месяцев назад

Someone made a Claude-powered bot that made $381,000+ on Polymarket. Almost nobody noticed. But he wasn’t predicting BTC direction like everyone else. He built a market reaction engine. Wallet: What the system does: • pulls live CLOB order book data • tracks OTC liquidity shifts • runs thousands of BTC simulations in seconds • detects contracts lagging behind sentiment • enters before repricing • exits minutes later with the spread Results: • 3,464 trades • 78.6% win rate • 381k profit The real edge wasn’t predicting Bitcoin. It was reacting faster than the market could update itself. By the time most traders noticed the move, the trade was already finished. This isn’t gambling anymore. It’s latency + AI + execution.
0:37

Someone made a Claude-powered bot that made $381,000+ on Polymarket. Almost nobody noticed. But he wasn’t predicting BTC direction like everyone else. He built a market reaction engine. Wallet: What the system does: • pulls live CLOB order book data • tracks OTC liquidity shifts • runs thousands of BTC simulations in seconds • detects contracts lagging behind sentiment • enters before repricing • exits minutes later with the spread Results: • 3,464 trades • 78.6% win rate • 381k profit The real edge wasn’t predicting Bitcoin. It was reacting faster than the market could update itself. By the time most traders noticed the move, the trade was already finished. This isn’t gambling anymore. It’s latency + AI + execution.

Casey

15,758 просмотров • 4 месяцев назад

A trader built a QUANT bot using Claude Fable 5. Result: $81,323 profit on Polymarket. 25,511 predictions in 54 days. 46% win rate. $1,506 per day on average. The strategy is surprisingly simple: 1. Fast market-making model focused on short crypto Up/Down markets 2. No need for both sides at once. System accumulates one side when prices dislocate, then completes the position when the opposite side gets cheap 3. Edge comes from temporal arbitrage + partial hedging + constant inventory rotation across nearby windows Biggest winning trades: $1,277 → $2,516 (+$1,239 profit | 97% gain) $1,059 → $2,205 (+$1,146 profit | 108% gain) $1,372 → $2,487 (+$1,115 profit | 81% gain) The entire profit curve is built on one small edge repeated thousands of times. This is not about predicting the market. This is about reading price dislocations faster than everyone else and exploiting the gap before it closes. The system runs autonomous: → Claude handles decision logic → Monitors crypto markets 24/7 → Executes when arbitrage windows open → Rotates inventory continuously No emotions. No guessing. Just math and execution speed. 💡 I'm sharing the complete Claude prompt and workflow behind this QUANT bot. Free for 24 hours. To get it: 1️⃣ Comment the word "Fable" 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar I'll DM you the setup.
0:25

A trader built a QUANT bot using Claude Fable 5. Result: $81,323 profit on Polymarket. 25,511 predictions in 54 days. 46% win rate. $1,506 per day on average. The strategy is surprisingly simple: 1. Fast market-making model focused on short crypto Up/Down markets 2. No need for both sides at once. System accumulates one side when prices dislocate, then completes the position when the opposite side gets cheap 3. Edge comes from temporal arbitrage + partial hedging + constant inventory rotation across nearby windows Biggest winning trades: $1,277 → $2,516 (+$1,239 profit | 97% gain) $1,059 → $2,205 (+$1,146 profit | 108% gain) $1,372 → $2,487 (+$1,115 profit | 81% gain) The entire profit curve is built on one small edge repeated thousands of times. This is not about predicting the market. This is about reading price dislocations faster than everyone else and exploiting the gap before it closes. The system runs autonomous: → Claude handles decision logic → Monitors crypto markets 24/7 → Executes when arbitrage windows open → Rotates inventory continuously No emotions. No guessing. Just math and execution speed. 💡 I'm sharing the complete Claude prompt and workflow behind this QUANT bot. Free for 24 hours. To get it: 1️⃣ Comment the word "Fable" 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar I'll DM you the setup.

Himanshu Kumar

880,546 просмотров • 2 месяцев назад

He built a trading bot on Polymarket with Claude Result: +$66,295 in 1 month His bot trades short-term crypto Up/Down markets using a strategy with 4 core elements: 1. Right after a market opens, it calculates the probability of Up and Down 2. If its own estimate differs from the price on Polymarket, it buys the undervalued outcome 3. When the move is confirmed, it increases the position, even if the price has become more expensive 4. If the signal changes, it starts buying the opposite side as a hedge or to flip the position His Polymarket username: uninformedfloww He captures a consistent edge through a large number of trades with positive expected value That’s how he made +$66k in one month
0:28

He built a trading bot on Polymarket with Claude Result: +$66,295 in 1 month His bot trades short-term crypto Up/Down markets using a strategy with 4 core elements: 1. Right after a market opens, it calculates the probability of Up and Down 2. If its own estimate differs from the price on Polymarket, it buys the undervalued outcome 3. When the move is confirmed, it increases the position, even if the price has become more expensive 4. If the signal changes, it starts buying the opposite side as a hedge or to flip the position His Polymarket username: uninformedfloww He captures a consistent edge through a large number of trades with positive expected value That’s how he made +$66k in one month

VALIX

15,778 просмотров • 1 месяц назад

A 33-year-old quant from Hong Kong built a perfect BTC price simulation engine with a swarm of agents. 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: Humans can’t process dozens of gigabytes of data in seconds - but Claude can. Closed order book feeds from CEXs, live data from OTC trading desks, Pyth oracles - AI agent gathers all of it in one iteration. His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $369,000 all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. 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 the full guide to build the same bot? Save the post and read the article. Want to start copying his trades right now? Use this TG copy-trading bot (US users can actually trade here, unlike the main Polymarket site):
0:56

A 33-year-old quant from Hong Kong built a perfect BTC price simulation engine with a swarm of agents. 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: Humans can’t process dozens of gigabytes of data in seconds - but Claude can. Closed order book feeds from CEXs, live data from OTC trading desks, Pyth oracles - AI agent gathers all of it in one iteration. His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $369,000 all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. 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 the full guide to build the same bot? Save the post and read the article. Want to start copying his trades right now? Use this TG copy-trading bot (US users can actually trade here, unlike the main Polymarket site):

cvxv666

83,208 просмотров • 4 месяцев назад

Every gambler who ever muttered "I'm due for a win" was one theorem away from understanding why he was about to lose. an Oxford professor teaches that exact theorem for free. Vegas does not mind. the people who need these 50 minutes most are the ones feeding the slot machines instead. his subject is conditional probability. the wheel has no memory. ten reds in a row change nothing. the next spin carries the same edge against you, every single time. that is the whole casino in one idea. and the post above argues the whole market runs on it too. Crawford teaches it to Oxford first-years. no system. no strategy. no hot streak. just the proof that the house edge does not care what already happened. skip to conditional probability. watch him kill "I'm due" in one line. every bet independent, every one bleeding the same tiny percentage, the crowd paying it a million times over. no memory. no streaks. one edge, forever. a trader I know says the day he understood independence was the day he stopped revenge trading. the math has been free the whole time. the house is betting you never learn it.
51:16

Every gambler who ever muttered "I'm due for a win" was one theorem away from understanding why he was about to lose. an Oxford professor teaches that exact theorem for free. Vegas does not mind. the people who need these 50 minutes most are the ones feeding the slot machines instead. his subject is conditional probability. the wheel has no memory. ten reds in a row change nothing. the next spin carries the same edge against you, every single time. that is the whole casino in one idea. and the post above argues the whole market runs on it too. Crawford teaches it to Oxford first-years. no system. no strategy. no hot streak. just the proof that the house edge does not care what already happened. skip to conditional probability. watch him kill "I'm due" in one line. every bet independent, every one bleeding the same tiny percentage, the crowd paying it a million times over. no memory. no streaks. one edge, forever. a trader I know says the day he understood independence was the day he stopped revenge trading. the math has been free the whole time. the house is betting you never learn it.

Rossst.03

10,472 просмотров • 1 месяц назад

A Chinese engineering student built a Claude powered device the size of a credit card. Raspberry Pi. Camera. One red LED. Total cost $14. His professor called it a toy. His classmates laughed. He posted a demo on YouTube and got 200 views. Then someone noticed what the device was actually connected to. A wallet. Making $11 million. In 10 months. kch123. $11,525,240 profit. 2,347 predictions. Joined June 2025. → Profile: The device does one thing. He asks it a question with his voice. Claude scans thousands of prediction markets in real time. When it finds a price that doesn't match reality the red LED lights up. Red light. He places the trade. Green result. $2M position on Seahawks. Won. $1.5M on Villarreal not winning. His professor saw the YouTube video again three months later. The demo was the same. The view count wasn't. Neither was the wallet. He asked the student what changed. The student showed him the balance. The professor didn't say anything. Sat down. Then asked if the device could run two accounts. 759K people watching. $319K still loaded in active positions. The device fits in your hand. The LED is still blinking. His classmates stopped laughing around month four. By month six two of them had built their own.
0:47

A Chinese engineering student built a Claude powered device the size of a credit card. Raspberry Pi. Camera. One red LED. Total cost $14. His professor called it a toy. His classmates laughed. He posted a demo on YouTube and got 200 views. Then someone noticed what the device was actually connected to. A wallet. Making $11 million. In 10 months. kch123. $11,525,240 profit. 2,347 predictions. Joined June 2025. → Profile: The device does one thing. He asks it a question with his voice. Claude scans thousands of prediction markets in real time. When it finds a price that doesn't match reality the red LED lights up. Red light. He places the trade. Green result. $2M position on Seahawks. Won. $1.5M on Villarreal not winning. His professor saw the YouTube video again three months later. The demo was the same. The view count wasn't. Neither was the wallet. He asked the student what changed. The student showed him the balance. The professor didn't say anything. Sat down. Then asked if the device could run two accounts. 759K people watching. $319K still loaded in active positions. The device fits in your hand. The LED is still blinking. His classmates stopped laughing around month four. By month six two of them had built their own.

Carver

790,501 просмотров • 5 месяцев назад

Two horses. One has a 20% chance of winning, the other 80%. A bookie knows the real odds. The crowd doesn't. $10,000 lands on one horse, $50,000 on the other. Inside an MIT classroom, a professor asks one question: how does the bookie guarantee he never loses? He ignores what he knows. Sets the odds not by probability but by how the money fell. Five to one, matching the market. First horse wins, he pays $60,000 and collected $60,000. Second horse wins, same thing. Zero exposure. Fee on top. Riskless profit. That's not gambling. That's pricing. The same math prices every option contract on Wall Street. Black-Scholes, replicating portfolios, hedging. It starts with one insight: you don't need to predict the future. You structure the trade so the future doesn't matter. The professor builds it step by step. Take any derivative. Find a combination of stock and cash that replicates the pay-off exactly. Hold both sides. Risk cancels. You keep the spread. He pulls up Bloomberg with IBM call options and shows it in real numbers. Prices a digital option using nothing but two calls at different strikes. No model needed. Just replication. Traders do this thousands of times a day. Enter a contract, hedge it on the exchange, walk away with a fee. No opinion on direction. Just structure. The entire derivatives market works this way. Not prediction. Replication. The people who understood that distinction first built the biggest fortunes in finance.
49:29

Two horses. One has a 20% chance of winning, the other 80%. A bookie knows the real odds. The crowd doesn't. $10,000 lands on one horse, $50,000 on the other. Inside an MIT classroom, a professor asks one question: how does the bookie guarantee he never loses? He ignores what he knows. Sets the odds not by probability but by how the money fell. Five to one, matching the market. First horse wins, he pays $60,000 and collected $60,000. Second horse wins, same thing. Zero exposure. Fee on top. Riskless profit. That's not gambling. That's pricing. The same math prices every option contract on Wall Street. Black-Scholes, replicating portfolios, hedging. It starts with one insight: you don't need to predict the future. You structure the trade so the future doesn't matter. The professor builds it step by step. Take any derivative. Find a combination of stock and cash that replicates the pay-off exactly. Hold both sides. Risk cancels. You keep the spread. He pulls up Bloomberg with IBM call options and shows it in real numbers. Prices a digital option using nothing but two calls at different strikes. No model needed. Just replication. Traders do this thousands of times a day. Enter a contract, hedge it on the exchange, walk away with a fee. No opinion on direction. Just structure. The entire derivatives market works this way. Not prediction. Replication. The people who understood that distinction first built the biggest fortunes in finance.

Superior

1,967,386 просмотров • 1 месяц назад

Two horses. One has a 20% chance of winning, the other 80%. A bookie knows the real odds. The crowd doesn't. $10,000 lands on one horse, $50,000 on the other. Inside an MIT classroom, a professor asks one question: how does the bookie guarantee he never loses? He ignores what he knows. Sets the odds not by probability but by how the money fell. Five to one, matching the market. First horse wins, he pays $60,000 and collected $60,000. Second horse wins, same thing. Zero exposure. Fee on top. Riskless profit. That's not gambling. That's pricing. The same math prices every option contract on Wall Street. Black-Scholes, replicating portfolios, hedging. It starts with one insight: you don't need to predict the future. You structure the trade so the future doesn't matter. The professor builds it step by step. Take any derivative. Find a combination of stock and cash that replicates the pay-off exactly. Hold both sides. Risk cancels. You keep the spread. He pulls up Bloomberg with IBM call options and shows it in real numbers. Prices a digital option using nothing but two calls at different strikes. No model needed. Just replication. Traders do this thousands of times a day. Enter a contract, hedge it on the exchange, walk away with a fee. No opinion on direction. Just structure. The entire derivatives market works this way. Not prediction. Replication. The people who understood that distinction first built the biggest fortunes in finance.
52:19

Two horses. One has a 20% chance of winning, the other 80%. A bookie knows the real odds. The crowd doesn't. $10,000 lands on one horse, $50,000 on the other. Inside an MIT classroom, a professor asks one question: how does the bookie guarantee he never loses? He ignores what he knows. Sets the odds not by probability but by how the money fell. Five to one, matching the market. First horse wins, he pays $60,000 and collected $60,000. Second horse wins, same thing. Zero exposure. Fee on top. Riskless profit. That's not gambling. That's pricing. The same math prices every option contract on Wall Street. Black-Scholes, replicating portfolios, hedging. It starts with one insight: you don't need to predict the future. You structure the trade so the future doesn't matter. The professor builds it step by step. Take any derivative. Find a combination of stock and cash that replicates the pay-off exactly. Hold both sides. Risk cancels. You keep the spread. He pulls up Bloomberg with IBM call options and shows it in real numbers. Prices a digital option using nothing but two calls at different strikes. No model needed. Just replication. Traders do this thousands of times a day. Enter a contract, hedge it on the exchange, walk away with a fee. No opinion on direction. Just structure. The entire derivatives market works this way. Not prediction. Replication. The people who understood that distinction first built the biggest fortunes in finance.

Beaver

70,042 просмотров • 1 месяц назад