cvxv666
@antpalkin
e-beggar since 2021 | now looking for edge on @Polymarket
401 Following 7.6K Followers
The CEO of a $67B hedge fund just admitted AI agents are replacing his PhDs.
Citadel. $90B in lifetime profits. PhDs from Stanford and MIT.
Replaced by chat boxes.
Horizon just opened the same chat box to retail.
Closed beta soon.
You will not get a second invite.
Show more
Every good strategy starts with someone forwarding you a screenshot
This is that screenshot. Closed beta soon
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:
Show more
MIT student opens Claude in March. Never traded BTC in his life.
45 days later: $837,436 profit. 1,735 trades. 85% hit rate.
Proof:
Sharpe 4.82. Max drawdown -8.4%. Recovery 2.1 days
Market priced BTC > $80K at 0.3%. His model said 35%.
He bought 60K contracts. Market pimping up. $178 turned into $29,742 in one trade.
Quants at Jane Street do 1 backtest a week. He did 38 a day.
$40B prop shops can't touch Polymarket. too small. too reputationally risky.
The window is wide open.
Same execution stack as a $40B fund, running from a dorm laptop. You can get all of this just with this copy bot:
Show more
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:
Show more
The 2026 success plan is insanely simple:
> Open the Kreo copytrade bot:
> Mirror one MIT student’s wallet on Polymarket
> Let his Claude bot run on autopilot
> Sleep while it hits 85 out of 100 trades
> Wake up $18,610 richer
> Repeat for 45 days
Anyone can start today in just two clicks. But only a handful actually will.
Show more
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:
Show more
The 2026 success plan is insanely simple:
> Open the Kreo copytrade bot:
> Mirror one MIT student’s wallet on Polymarket
> Let his Claude bot run on autopilot
> Sleep while it hits 85 out of 100 trades
> Wake up $18,610 richer
> Repeat for 45 days
Anyone can start today in just two clicks. But only a handful actually will.
Show more
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:
Show more
MIT student opens Claude in March. Never traded BTC in his life.
45 days later: $837,436 profit. 1,735 trades. 85% hit rate.
Proof:
Sharpe 4.82. Max drawdown -8.4%. Recovery 2.1 days
Market priced BTC > $80K at 0.3%. His model said 35%.
He bought 60K contracts. Market pimping up. $178 turned into $29,742 in one trade.
Quants at Jane Street do 1 backtest a week. He did 38 a day.
$40B prop shops can't touch Polymarket. too small. too reputationally risky.
The window is wide open.
Same execution stack as a $40B fund, running from a dorm laptop. You can get all of this just with this copy bot:
Show more
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:
Show more
The guy who turned $2K into $166K on Polymarket wasn't in your replies.
He was in a 40-person Discord with 3 quants and a guy who backtest strats for fun.
That's where every real edge of the last decade has lived.
Horizon just opened theirs.
Currently small. Currently free:
Show more
Good strategies aren’t loud
They’re quietly shared between people who actually trade
That’s what our Discord is for
MIT professor when he realized his student made $800k - not because of his lectures, but thanks to Claude
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:
Show more
MIT professor when he realized his student made $800k - not because of his lectures, but thanks to Claude
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:
Show more
This MIT dude when he paid off his student debt with literally just Claude
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:
Show more
This MIT dude when he paid off his student debt with literally just Claude
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:
Show more
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:
Show more
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:
Show more
guy from Ohio shows up on Polymarket two years ago.
no team. no fund. one wallet.
$34 -> $4,113 on ETH UP. Nov 25 (x119.7)
$252 -> $22,202 on ETH UP. Feb 7 (x88.0)
$138 -> $7,148 on SOL DOWN. September (x51.5)
$63 -> $3,259 on ETH DOWN. May 16 (x51.1)
same playbook. every time.
$1,003,045 total. 3,210 trades. 78% win rate
someone rebuilds the entire stack to figure out how
7 stages. Claude + Horizon + PolyBench on Nautilus-core
41.8 GB of point-in-time state. CLOB depth $21K. realized fill 0.4¢. brick by brick. 8 min read.
meanwhile Kreo bot mirrors every trade in 2 clicks
his wallet, your wallet, same fills
the writeup saves you nothing. the bot saves you two years.
Show more
The newest product, with the most features on the market. 🚢
1️⃣ Search for Your Position by Market Name
2️⃣ Price to Beat Added to Crypto Up/Down Markets
3️⃣ Current Price Added to Crypto Up/Down Markets
4️⃣ Auto-Retry for Failed Copytrade Tasks
5️⃣ Search Button Merged with Markets
6️⃣ Global Notification Settings Added
7️⃣ Automatic USDC Recovery
8️⃣ Edit Buy Amounts Directly on Charts
9️⃣ Auto-Detect Your Language on Signup
Even more reasons to make the switch to Kreo. 🤝
Show more
this is how I feel after fully reverse-engineered and copied an algorithm that printed $1,000,000 with literally just only Claude
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:
Show more
this is how I feel after fully reverse-engineered and copied an algorithm that printed $1,000,000 with literally just only Claude
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:
Show more
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:
Show more
breakdown of what one Polymarket trader is actually running:
> stack: Claude + HFT terminal + AI map ingesting OSINT
> inputs every 5 min: 437 sources, 1,284 events, 14 event clusters
> trigger: cross-stream convergence - 3 independent sources confirm the same point
> entry latency: ~4 minutes ahead of price action
> news lead: ~5 minutes ahead of CNN
last month:
- 107 trades
- $82,475 net profit
-avg trade: $500-$1,000
- best trade: $14,000 -> $72,000 in 24h, catalyst was a single AIS frame
- projected: a normal 2-3 month cycle = ~1,000 trades = ~$1M
every fill is on-chain. wallet is public. copy-trade is one click with this bot:
the only reason this still works - pro traders from Wall Street aren't on Polymarket yet
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New WTI oil price algo just dropped - it has already generated $82,000 in profit in less than a month.
The perfect combo: Claude + HFT terminal + AI "God Eye"
Every news drop, every price wiggle, any random headline - this thing sees it first and trade.
His wallet:
$82,475 profit across 107 trades. That’s roughly $500–$1,000 per trade.
In a normal 2–3 month cycle this HFT beast can hit ~1,000 trades - that’s $1 million in profit.
$14k in -> $72k out in just one day. Catalyst: a single AIS frame.
This isn’t even trading anymore - it’s OSINT arbitrage.
This trader sees war coming 5 minutes before CNN.
Every 5 minutes on the map: 437 sources, 1,284 events, 14 clusters.
Cross-stream convergence: 3 sources confirm the same point -> entry 4 minutes before the move.
This guy knows in advance what others only see after the chart moves.
Every single 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):
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You could literally:
> Open Horizon
> Type "trade like Burry on shorts, Buffett on longs"
> Let the AI agent translate it into actual code
> Backtest 20 years of historical data in 90 seconds
> Hit deploy -> it goes live on your broker
> Sleep through trades Wall Street pays $650K/yr to execute
Why are people still trading manually in 2026?
Show more
breakdown of what one Polymarket trader is actually running:
> stack: Claude + HFT terminal + AI map ingesting OSINT
> inputs every 5 min: 437 sources, 1,284 events, 14 event clusters
> trigger: cross-stream convergence - 3 independent sources confirm the same point
> entry latency: ~4 minutes ahead of price action
> news lead: ~5 minutes ahead of CNN
last month:
- 107 trades
- $82,475 net profit
-avg trade: $500-$1,000
- best trade: $14,000 -> $72,000 in 24h, catalyst was a single AIS frame
- projected: a normal 2-3 month cycle = ~1,000 trades = ~$1M
every fill is on-chain. wallet is public. copy-trade is one click with this bot:
the only reason this still works - pro traders from Wall Street aren't on Polymarket yet
Show more
New WTI oil price algo just dropped - it has already generated $82,000 in profit in less than a month.
The perfect combo: Claude + HFT terminal + AI "God Eye"
Every news drop, every price wiggle, any random headline - this thing sees it first and trade.
His wallet:
$82,475 profit across 107 trades. That’s roughly $500–$1,000 per trade.
In a normal 2–3 month cycle this HFT beast can hit ~1,000 trades - that’s $1 million in profit.
$14k in -> $72k out in just one day. Catalyst: a single AIS frame.
This isn’t even trading anymore - it’s OSINT arbitrage.
This trader sees war coming 5 minutes before CNN.
Every 5 minutes on the map: 437 sources, 1,284 events, 14 clusters.
Cross-stream convergence: 3 sources confirm the same point -> entry 4 minutes before the move.
This guy knows in advance what others only see after the chart moves.
Every single 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):
Show more
