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

cvxv666

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163,725 просмотров • 5 месяцев назад •via X (Twitter)

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A 35-year-old accountant from New Orleans left his job and spent a full month in isolation with Claude. The result? He made $45,000 in a single day. 300 hours of meticulous work - and the perfect BTC trading algorithm was ready. If he keeps cooking like this, he’s hitting over $1,000,000 in a single month. His wallet: He selected username nsh91qaz - an ironic nod to his 1991 birth year, an age when most people believe it’s too late to change their lives. But he changed anyway. I ran a backtest of his strategy using Claude + Nautilus via PyPI. Results genuinely shocked me - mechanics are understandable to pretty much anyone. The real alpha is in the numbers under the hood. That’s what lets you pull $45k per day with pure math. I simulated every single one of his trades and broke down every transaction: 75 markets, 72 fills, 85.1% win rate, Sharpe ratio 4.21. All run on the Nautilus-core broker simulator with 41.8 GB of parquet data in DuckDB. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money Brier-loss ensemble: 400 trees · lr 0.03, walk-forward validation with Sharpe 4.21 ± 0.08. Save this post if you actually want to learn how to build something like this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:

A 35-year-old accountant from New Orleans left his job and spent a full month in isolation with Claude. The result? He made $45,000 in a single day. 300 hours of meticulous work - and the perfect BTC trading algorithm was ready. If he keeps cooking like this, he’s hitting over $1,000,000 in a single month. His wallet: He selected username nsh91qaz - an ironic nod to his 1991 birth year, an age when most people believe it’s too late to change their lives. But he changed anyway. I ran a backtest of his strategy using Claude + Nautilus via PyPI. Results genuinely shocked me - mechanics are understandable to pretty much anyone. The real alpha is in the numbers under the hood. That’s what lets you pull $45k per day with pure math. I simulated every single one of his trades and broke down every transaction: 75 markets, 72 fills, 85.1% win rate, Sharpe ratio 4.21. All run on the Nautilus-core broker simulator with 41.8 GB of parquet data in DuckDB. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money Brier-loss ensemble: 400 trees · lr 0.03, walk-forward validation with Sharpe 4.21 ± 0.08. Save this post if you actually want to learn how to build something like this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:

cvxv666

341,528 просмотров • 4 месяцев назад

A 29-year-old sales consultant from Oklahoma quit his job thanks to AI - now he makes his director’s entire annual salary in just two weeks. $306,000 in profit over the past month. He replaced an entire team of quants with Claude and a swarm of agents - and built his own ETH price simulation engine. His wallet: Each of the 6 agents validates its own trading decision, and thanks to their precision, he’s pulling in at least $15,000 a day. The agent system coverage speed is far higher than any top-tier trading team. They collect data 24/7 and run simulations using that data in the MiroFish engine - completely autonomously. They remember every pattern, every market reaction, every trading signal. This is a new milestone in algo trading. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money. Save this post if you actually want to learn how to build something like this. Or just skip homework and start copying every one of his trades right now - that’s the easiest and most profitable route I’m on:

A 29-year-old sales consultant from Oklahoma quit his job thanks to AI - now he makes his director’s entire annual salary in just two weeks. $306,000 in profit over the past month. He replaced an entire team of quants with Claude and a swarm of agents - and built his own ETH price simulation engine. His wallet: Each of the 6 agents validates its own trading decision, and thanks to their precision, he’s pulling in at least $15,000 a day. The agent system coverage speed is far higher than any top-tier trading team. They collect data 24/7 and run simulations using that data in the MiroFish engine - completely autonomously. They remember every pattern, every market reaction, every trading signal. This is a new milestone in algo trading. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money. Save this post if you actually want to learn how to build something like this. Or just skip homework and start copying every one of his trades right now - that’s the easiest and most profitable route I’m on:

cvxv666

337,817 просмотров • 4 месяцев назад

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

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

cvxv666

203,703 просмотров • 4 месяцев назад

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

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

cvxv666

282,748 просмотров • 5 месяцев назад

Chinese quant turned $2,184 into $166,163 in one day. x76. One trade. Polymarket. I had to know if it was luck. So I ran his 84-day record through contamination-proof benchmark that evaluates trading strategies against live Polymarket CLOB snapshots. It wasn't luck. His wallet: 1,340 trades. 78% win rate. Sharpe 4.82. Confidence-Weighted Return: +8,420%. Max drawdown: -8.4%. Recovered in 2.1 days. Daily edge: $4,402. Every day. For 84 days. Top 3 verified wins: - BTC DOWN APR 24: $2,184 -> $166,163 (x76.08) - ETH DOWN MAR 6: $2,783 -> $25,556 (x9.18) - BTC UP APR: $6,004 -> $41,619 (x6.93) I rebuilt his entire pipeline using Claude + Nautilus-core + PolyBench fork. 7 stages: Event Ingest -> CLOB Snap -> News Fetch -> AI Infer -> EV+ Gate -> Size -> Execute. 38,666 binary prediction markets. 4,997 real-world events. 41.8 GB DuckDB parquet. HOLDOUT-84D-APEX replay, zero in-sample contamination. He doesn't predict the future. He reads the spread between what the model knows and what the crowd hasn't priced in yet. Every dollar he earns is somebody else paying for not having seen the misprice in time. Save this post if you want to learn how to build this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:

Chinese quant turned $2,184 into $166,163 in one day. x76. One trade. Polymarket. I had to know if it was luck. So I ran his 84-day record through contamination-proof benchmark that evaluates trading strategies against live Polymarket CLOB snapshots. It wasn't luck. His wallet: 1,340 trades. 78% win rate. Sharpe 4.82. Confidence-Weighted Return: +8,420%. Max drawdown: -8.4%. Recovered in 2.1 days. Daily edge: $4,402. Every day. For 84 days. Top 3 verified wins: - BTC DOWN APR 24: $2,184 -> $166,163 (x76.08) - ETH DOWN MAR 6: $2,783 -> $25,556 (x9.18) - BTC UP APR: $6,004 -> $41,619 (x6.93) I rebuilt his entire pipeline using Claude + Nautilus-core + PolyBench fork. 7 stages: Event Ingest -> CLOB Snap -> News Fetch -> AI Infer -> EV+ Gate -> Size -> Execute. 38,666 binary prediction markets. 4,997 real-world events. 41.8 GB DuckDB parquet. HOLDOUT-84D-APEX replay, zero in-sample contamination. He doesn't predict the future. He reads the spread between what the model knows and what the crowd hasn't priced in yet. Every dollar he earns is somebody else paying for not having seen the misprice in time. Save this post if you want to learn how to build this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:

cvxv666

59,996 просмотров • 4 месяцев назад

This Chinese engineer wins almost 90% of his trades. He extracted $60,000 profit in only TWO DAYS. He doesn’t even look at charts or guess the future - Claude + his 6-layer agent system does all the work. Edge is literally baked into the numbers and math, so this dude prints money with almost zero risk. His wallet: Right now in prediction markets you can make $5M a year with just AI and the will to build. Big institutions and billion-dollar capital haven’t entered yet - reputational risks are too high and space is still too young. That’s why an ordinary student can take professional-level experience and apply it on Polymarket. Out of 1,000 trades, he won 900. Pure inefficiency that he exploits. Save this post so you can read the article and understand how everything works. Or just start right now - copy every trade of this Chinese genius in two clicks:

This Chinese engineer wins almost 90% of his trades. He extracted $60,000 profit in only TWO DAYS. He doesn’t even look at charts or guess the future - Claude + his 6-layer agent system does all the work. Edge is literally baked into the numbers and math, so this dude prints money with almost zero risk. His wallet: Right now in prediction markets you can make $5M a year with just AI and the will to build. Big institutions and billion-dollar capital haven’t entered yet - reputational risks are too high and space is still too young. That’s why an ordinary student can take professional-level experience and apply it on Polymarket. Out of 1,000 trades, he won 900. Pure inefficiency that he exploits. Save this post so you can read the article and understand how everything works. Or just start right now - copy every trade of this Chinese genius in two clicks:

cvxv666

218,367 просмотров • 4 месяцев назад

A 23-year-old realtor from Nebraska lost his job and started studying Claude. The result? He made $22,000 in a single day. His Polymarket algorithm generated $249,000 in profit over the past month. Wallet proof: Dude spent around 250 hours teaching his Claude to collect data and run simulations through MiroFish. Now the bot runs on full autopilot - the perfect machine for extracting mathematical inefficiencies in BTC markets. He doesn’t need to predict the future - he simply calculates the perfect moment to buy both the UP and DOWN sides for a total of less than $1. The crowd reacts to price direction quickly - but he’s even faster. Thanks to data from private order books like Kraken and closed OTC BTC desks, he’s always one step ahead. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to build your own algo? Save this post and read the article. Alternatively, if you prefer not to miss his next profitable trades, you can start copying every single one of them right now with this TG bot:

A 23-year-old realtor from Nebraska lost his job and started studying Claude. The result? He made $22,000 in a single day. His Polymarket algorithm generated $249,000 in profit over the past month. Wallet proof: Dude spent around 250 hours teaching his Claude to collect data and run simulations through MiroFish. Now the bot runs on full autopilot - the perfect machine for extracting mathematical inefficiencies in BTC markets. He doesn’t need to predict the future - he simply calculates the perfect moment to buy both the UP and DOWN sides for a total of less than $1. The crowd reacts to price direction quickly - but he’s even faster. Thanks to data from private order books like Kraken and closed OTC BTC desks, he’s always one step ahead. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to build your own algo? Save this post and read the article. Alternatively, if you prefer not to miss his next profitable trades, you can start copying every single one of them right now with this TG bot:

cvxv666

166,136 просмотров • 4 месяцев назад

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

cvxv666

59,902 просмотров • 5 месяцев назад

Fired Jane Street quant walked out with ten years of private BTC trading data - and turned it into $1.5M He didn't build a bot. He built a simulator that sees the matrix - it runs every move Bitcoin can make before it makes one. His wallet: Here's what he actually built. A swarm of agents feeds ten years of stolen tick data into MiroFish - a god-tier agentic simulator. It doesn't forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once. Six agents each validate their own call. A trade only fires when they converge. They collect data 24/7, re-run the sim, and remember every pattern, every reaction, every signal they've ever seen. He doesn't predict the future. The math already knows it. He just reads the numbers and takes the money. I've been copying him for a week and PnL prints like a money printer on steroids. Here's the part the firms don't want public: MiroFish just broke algo trading. The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open - barely. Save this and build your own - or skip the homework and copy his with this bot:

Fired Jane Street quant walked out with ten years of private BTC trading data - and turned it into $1.5M He didn't build a bot. He built a simulator that sees the matrix - it runs every move Bitcoin can make before it makes one. His wallet: Here's what he actually built. A swarm of agents feeds ten years of stolen tick data into MiroFish - a god-tier agentic simulator. It doesn't forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once. Six agents each validate their own call. A trade only fires when they converge. They collect data 24/7, re-run the sim, and remember every pattern, every reaction, every signal they've ever seen. He doesn't predict the future. The math already knows it. He just reads the numbers and takes the money. I've been copying him for a week and PnL prints like a money printer on steroids. Here's the part the firms don't want public: MiroFish just broke algo trading. The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open - barely. Save this and build your own - or skip the homework and copy his with this bot:

cvxv666

132,166 просмотров • 3 месяцев назад

A trader made ~$2,000 every day trading soccer markets on Polymarket His numbers are honestly impressive: [+] 54.7% win rate [+] $36,000 total profit [+] $696,000 total volume And the most interesting part? You can copy his trades with 0% fees This trader is one of the best examples of a trader worth copying It’s all about taking a lot of positions, finding good entries and repeating the same process over and over The problem is actually following a wallet like this yourself You need to constantly watch Polymarket just to catch his entries and exits in time With copytrading, you can simply follow the wallet and have his positions copied automatically I attached a video showing how it works and pinned this trader’s profile in the comments ↓

Korens

28,858 просмотров • 14 дней 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):

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

An MIT student made $800,000 in just 45 days using literally only Claude. Never traded BTC before. Now his bot hits 85 out of 100 trades like it’s nothing. No magic or luck - just pure mechanics and numbers. His wallet: $837,436 total profit. 1,735 trades. 45 days. That’s 38 trades per day. A junior quant typically runs just 1 backtest per week. I completely reverse-engineered his strategy, analyzed every single trade, and verified every transaction. I ran his 45-day record through PolyBench - new arXiv benchmark (2604.14199) that evaluates LLMs on live Polymarket CLOB snapshots. The market priced BTC > $80K at 0.3% probability. His model said 35%. He bought 60K contracts. The market caught up. He doesn’t predict BTC. He exploits the spread between what his model knows and what the crowd hasn’t priced in yet. Just look at this god-like trades: $178 → $29,742 - BTC UP on May 3 (x167.2) $3,089 -> $126,286 - BTC UP April (x40.9) $2,369 -> $82,480 - BTC DOWN March (x34.8) $1,206 -> $37,939 - BTC DOWN Apr 4 (x31.5) $1,685 -> $45,139 - BTC UP Apr 23 (x26.8) Horizon Score: 91/100. Sharpe ratio: 4.82. Max drawdown: -8.4%. Recovery: 2.1 days. Daily edge: $18,610. Robustness matrix across 7 assets x 6 timeframes - the edge holds in every single cell BTC has ever traded in. A college kid with Claude + Horizon now runs the same execution stack as a $40B prop shop. Big institutions still can’t touch Polymarket - it’s too small and too reputationally risky. The window is wide open. Save this - full reverse-engineered breakdown. Or better yet, just start copying every one of his trades right now while the window is still open:

An MIT student made $800,000 in just 45 days using literally only Claude. Never traded BTC before. Now his bot hits 85 out of 100 trades like it’s nothing. No magic or luck - just pure mechanics and numbers. His wallet: $837,436 total profit. 1,735 trades. 45 days. That’s 38 trades per day. A junior quant typically runs just 1 backtest per week. I completely reverse-engineered his strategy, analyzed every single trade, and verified every transaction. I ran his 45-day record through PolyBench - new arXiv benchmark (2604.14199) that evaluates LLMs on live Polymarket CLOB snapshots. The market priced BTC > $80K at 0.3% probability. His model said 35%. He bought 60K contracts. The market caught up. He doesn’t predict BTC. He exploits the spread between what his model knows and what the crowd hasn’t priced in yet. Just look at this god-like trades: $178 → $29,742 - BTC UP on May 3 (x167.2) $3,089 -> $126,286 - BTC UP April (x40.9) $2,369 -> $82,480 - BTC DOWN March (x34.8) $1,206 -> $37,939 - BTC DOWN Apr 4 (x31.5) $1,685 -> $45,139 - BTC UP Apr 23 (x26.8) Horizon Score: 91/100. Sharpe ratio: 4.82. Max drawdown: -8.4%. Recovery: 2.1 days. Daily edge: $18,610. Robustness matrix across 7 assets x 6 timeframes - the edge holds in every single cell BTC has ever traded in. A college kid with Claude + Horizon now runs the same execution stack as a $40B prop shop. Big institutions still can’t touch Polymarket - it’s too small and too reputationally risky. The window is wide open. Save this - full reverse-engineered breakdown. Or better yet, just start copying every one of his trades right now while the window is still open:

cvxv666

69,518 просмотров • 4 месяцев назад

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

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

cvxv666

61,112 просмотров • 5 месяцев назад

A fired Jane Street quant walked out with 10 years of private BTC trading data. Turned it into $1.5M. He did not build a bot. He built a simulator that runs every move Bitcoin can make before it makes one. I found his wallet. Been copying him for a week. PnL prints like clockwork. Here is what he actually built. A swarm of agents feeds 10 years of stolen tick data into MiroFish. A god-tier agentic simulator. It does not forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once. Six agents each validate their own call. A trade only fires when they converge. They collect data 24/7, rerun the sim, and remember every pattern, every reaction, every signal they have ever seen. He does not predict the future. The math already knows it. He just reads the numbers and takes the money. Here is the part firms do not want public: MiroFish just broke algo trading. The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open. Barely. I rebuilt his approach using Claude. One prompt. Fed it the same framework. Let it run. The agent monitors his wallet 24/7. Copies every position in real-time. No delay. No guessing. Just mirror and profit. You only need Claude + device + 1 hour to deploy. Giving this free for 24 hours. To get it: 1. Comment the word "QUANT" 2. Like and retweet this post 3. Follow me Himanshu Kumar so I can DM you Save this post. Build the copytrading system this week. Start with $200. Scale on evidence.

A fired Jane Street quant walked out with 10 years of private BTC trading data. Turned it into $1.5M. He did not build a bot. He built a simulator that runs every move Bitcoin can make before it makes one. I found his wallet. Been copying him for a week. PnL prints like clockwork. Here is what he actually built. A swarm of agents feeds 10 years of stolen tick data into MiroFish. A god-tier agentic simulator. It does not forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once. Six agents each validate their own call. A trade only fires when they converge. They collect data 24/7, rerun the sim, and remember every pattern, every reaction, every signal they have ever seen. He does not predict the future. The math already knows it. He just reads the numbers and takes the money. Here is the part firms do not want public: MiroFish just broke algo trading. The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open. Barely. I rebuilt his approach using Claude. One prompt. Fed it the same framework. Let it run. The agent monitors his wallet 24/7. Copies every position in real-time. No delay. No guessing. Just mirror and profit. You only need Claude + device + 1 hour to deploy. Giving this free for 24 hours. To get it: 1. Comment the word "QUANT" 2. Like and retweet this post 3. Follow me Himanshu Kumar so I can DM you Save this post. Build the copytrading system this week. Start with $200. Scale on evidence.

Himanshu Kumar

63,769 просмотров • 3 месяцев назад

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

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

cvxv666

155,925 просмотров • 4 месяцев назад

This Chinese quant made $500,000 trading oil on Polymarket - and now trying to hide. Previously his profile was called bin8888. Now he’s switched to hidden mode and is just "Anon" But I saved his profile: His Claude + MiroFish trading engine is so good that he doesn’t want anyone watching him. Claude gathers the data for the simulation. OSINT parser scrapes every Iran/Hormuz headline. MiroFish simulates how every single piece of data affects the oil price. Result: an algo that’s been perfectly calling oil moves for two straight months. This guy knows in advance what others only see after the chart moves. And unlike top futures traders, every one of his trades is visible on-chain. His knowledge and algorithm are completely open for us to use. I’m copying every new oil trade he makes with this bot (US users can actually trade here, unlike the main Polymarket site):

cvxv666

185,007 просмотров • 4 месяцев назад

This is the most perfect insider wallet on my list. He doesn't make mistakes and his portfolio grows several times every day! Here is his latest most profitable trade: He bought $5k worth of $SNAI and made over $345,000 (+6,000%) Just look at his stats: - Sol trader - 97.7% win rate - Profit $2,200,000+ - This week he made $333,600+ Add the wallet to your tracking list: I believe that there are only a few traders like him in the world. This wallet should be added by everyone who trades or is about to start. To follow his new trades and make money with him - click on the “ follow” button and be sure to turn on notifications. And add this post to your bookmarks so that you don't miss out on potential profits.

This is the most perfect insider wallet on my list. He doesn't make mistakes and his portfolio grows several times every day! Here is his latest most profitable trade: He bought $5k worth of $SNAI and made over $345,000 (+6,000%) Just look at his stats: - Sol trader - 97.7% win rate - Profit $2,200,000+ - This week he made $333,600+ Add the wallet to your tracking list: I believe that there are only a few traders like him in the world. This wallet should be added by everyone who trades or is about to start. To follow his new trades and make money with him - click on the “ follow” button and be sure to turn on notifications. And add this post to your bookmarks so that you don't miss out on potential profits.

DPool

56,058 просмотров • 1 год назад

The AI game just changed forever - 35 year old Chinese marketer earn $300k in ONE month using only Claude. He launched a swarm of agents powered by Opus 4.7 to trade BTC markets on Polymarket. Claude as the brain + agent swarm sim engine = $5k–$15k profit per trade. His wallet: Pure irony “Marketing101” username says it all - ANYONE can start from zero and achieve absolutely mind-blowing results. This guy could make over $3,000,000 in a year - and he has never built an app or known how to code. While some people are still using Claude as a regular chatbot, the real smart ones are making money. Runs on full autopilot - the perfect machine for extracting mathematical inefficiencies in BTC markets. He doesn’t need to predict the future - he simply buys both outcomes early, then sells the weaker side before expiration. The perfect machine that profits purely from mathematics. You can keep scrolling and coping - or save this post, read the article and build the same algo bot. Or just be smart and start copying every one of his trades right now with this TG bot:

The AI game just changed forever - 35 year old Chinese marketer earn $300k in ONE month using only Claude. He launched a swarm of agents powered by Opus 4.7 to trade BTC markets on Polymarket. Claude as the brain + agent swarm sim engine = $5k–$15k profit per trade. His wallet: Pure irony “Marketing101” username says it all - ANYONE can start from zero and achieve absolutely mind-blowing results. This guy could make over $3,000,000 in a year - and he has never built an app or known how to code. While some people are still using Claude as a regular chatbot, the real smart ones are making money. Runs on full autopilot - the perfect machine for extracting mathematical inefficiencies in BTC markets. He doesn’t need to predict the future - he simply buys both outcomes early, then sells the weaker side before expiration. The perfect machine that profits purely from mathematics. You can keep scrolling and coping - or save this post, read the article and build the same algo bot. Or just be smart and start copying every one of his trades right now with this TG bot:

cvxv666

57,923 просмотров • 4 месяцев назад

Using this video as guide Polymarket trader built a Claude bot that earned him $600k. His bot trades BTC price action with an 80% win rate. AGI has officially been invented - its name is Claude. Bot wallet: Earn $150–200k every single week. It’s completely public - if you want, you can copy every single one of his trades in real time. Longest win streak: 41 victories in a row. Maximum drawdown: just 3.5% of the deposit. Claude able to deliver these huge stats because 99.99% of people still have no idea how to actually use it properly. Save the post and watch the full 1-hour video. Do it. This is your ticket to the top 0.01% of Claude users.

Using this video as guide Polymarket trader built a Claude bot that earned him $600k. His bot trades BTC price action with an 80% win rate. AGI has officially been invented - its name is Claude. Bot wallet: Earn $150–200k every single week. It’s completely public - if you want, you can copy every single one of his trades in real time. Longest win streak: 41 victories in a row. Maximum drawdown: just 3.5% of the deposit. Claude able to deliver these huge stats because 99.99% of people still have no idea how to actually use it properly. Save the post and watch the full 1-hour video. Do it. This is your ticket to the top 0.01% of Claude users.

cvxv666

14,282 просмотров • 6 месяцев назад

This guy from Ohio made over $1,000,000 by doing just one thing - he built an AI trading bot for crypto markets. His algo has been printing money non-stop for TWO FULL YEARS. Not luck. Not fake. Just pure consistent alpha. I reverse-engineered the whole thing brick by brick. His wallet: Same trader. Same playbook. Five times. $34 -> $4,113 - ETH UP on Nov 25 (x119.7) $252 -> $22,202 - ETH UP on Feb 7 (x88.0) $46 -> $4,048 - ETH UP on Aug 15, NO side (x87.8) $138 -> $7,148 - SOL DOWN in September (x51.5) $63 -> $3,259 - ETH DOWN on May 16 (x51.1) $1,003,045 total profit. 3,210 trades. 78% win rate. I had to know if he was just lucky. So I rebuilt his entire pipeline using Claude + Horizon + a PolyBench fork running on Nautilus-core. 7 stages: Event Ingest -> CLOB Snap -> News Fetch -> AI Infer -> EV+ Gate -> Size -> Execute. CLOB depth at entry: $21K. Slippage budget: 0.6¢. Realized fill: 0.4¢. DuckDB parquet, 41.8 GB of point-in-time market state. He doesn’t predict ETH price. He reads the gap between what his model knows and what the crowd hasn’t priced in yet. Every dollar he made is someone else paying for not seeing the mispricing in time. Save this article if you want to learn how to build it. Or just copy the trades of the guy who has been trading perfectly for two years straight. Use this bot:

This guy from Ohio made over $1,000,000 by doing just one thing - he built an AI trading bot for crypto markets. His algo has been printing money non-stop for TWO FULL YEARS. Not luck. Not fake. Just pure consistent alpha. I reverse-engineered the whole thing brick by brick. His wallet: Same trader. Same playbook. Five times. $34 -> $4,113 - ETH UP on Nov 25 (x119.7) $252 -> $22,202 - ETH UP on Feb 7 (x88.0) $46 -> $4,048 - ETH UP on Aug 15, NO side (x87.8) $138 -> $7,148 - SOL DOWN in September (x51.5) $63 -> $3,259 - ETH DOWN on May 16 (x51.1) $1,003,045 total profit. 3,210 trades. 78% win rate. I had to know if he was just lucky. So I rebuilt his entire pipeline using Claude + Horizon + a PolyBench fork running on Nautilus-core. 7 stages: Event Ingest -> CLOB Snap -> News Fetch -> AI Infer -> EV+ Gate -> Size -> Execute. CLOB depth at entry: $21K. Slippage budget: 0.6¢. Realized fill: 0.4¢. DuckDB parquet, 41.8 GB of point-in-time market state. He doesn’t predict ETH price. He reads the gap between what his model knows and what the crowd hasn’t priced in yet. Every dollar he made is someone else paying for not seeing the mispricing in time. Save this article if you want to learn how to build it. Or just copy the trades of the guy who has been trading perfectly for two years straight. Use this bot:

cvxv666

72,493 просмотров • 4 месяцев назад