Jane Street spent $6 billion and 4,032 GPUs on one thing: AI agents that loop through trading strategies 100x faster than any human.
Generate, backtest, kill, repeat - thousands a week, until one survives data it's never seen.
That loop is why they made $39.6 billion last year while 89% of retail went broke trading one idea they never stress-tested.
The edge was never a smarter idea. It was volume.
They test 100 strategies for every 1 you test by hand, and a second agent kills the 97 that only look good on old data before a dollar goes live.
Now the entire loop fits in a chat box. Horizon takes one plain-English sentence and spins up the same two agents.
One builds your strategy, one tries to kill it - backtests 5 years in seconds, and only what survives goes live on your exchange.
The $150 billion setup. Free while beta open.
Bookmark this & read the full breakdown below - the exact two-agent loop, step by step, and who just handed it to retail.
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Jane Street quant just stole and fit a $40-million trading brain inside a box that costs $4,000 and quietly walked out of the building with it.
It's the new AMD Ryzen AI Halo. Eleven weeks later, that computer has made him $400,000 - from his bedroom.
His wallet:
The model doesn't guess where Bitcoin goes. It simulates it.
Every five minutes it reads the candle into a pattern net - break of structure, order blocks, the gaps where liquidity hides.
Then it hands that read to MiroFish: a simulation that runs the next five minutes forward thousands of times, sorts every path into three outcomes - bear, neutral, breakout and threads the median straight through them.
That median is where price actually lands. Not where the crowd hopes.
When that fair value drifts 15¢ off the live book, the edge is real. It sizes by Kelly and fires. One button, no nerves.
On the firm's cluster, one simulation like that ate serious hardware. The Halo box - 128GB of unified memory, a 200B model held whole, runs thousands a minute, offline, while he sleeps.
No cloud. No login the firm can kill.
The desk still owns the model. It just can't aim it where he aims it - Polymarket's too small for a fund that size to touch.
He took the edge home. Two clicks and you trade right beside it:
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This 27 year old ex-crypto miner pointed a $4,000 mini PC at Polymarket and turned it into $1,000,000 - in under three months.
U.S. export-controlled Claude Fable 5 last week and cut every cloud trader off overnight. This guy didn't even notice.
No cloud. No subscription. No model anyone can ban.
Just a box on his desk, trading Bitcoin while he sleeps.
His bot wallet:
It's an AMD Ryzen AI Max+ 395 - 16 cores, a 50-TOPS neural engine, 128GB of unified memory. His AI never touches the internet.
That memory is the whole trick. A normal gaming GPU holds 24GB - a toy.
128GB unified holds a 200-billion-parameter model whole, nothing offloaded. A frontier brain, running offline, in his apartment.
It doesn't predict price. It runs the full probability map of every 5-minute market, thousands of times a minute, and hunts the bets the crowd prices at zero.
When its math says a 0.2¢ longshot is really worth 1.6%, it buys the "impossible" for pennies. One paid x32.
No data center. No leased GPU. No off-switch but his.
They can pull a model from the cloud in one night. They can't raid a box on a guy's desk.
$4,000 of hardware. $1,000 of stake. $1,000,000 out - still running tonight.
You don't need the box. You need the wallet it trades. Copy in two clicks:
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A 33-year-old weather nerd just turned $1,000 into $946,207 trading Bitcoin - with a trick he stole from hurricane forecasting.
No finance degree. No trading desk. Just one trick every forecaster lives by and every trader forgets.
Public wallet:
The trick: forecasters never call tomorrow with a single model. They run 31 and count the votes. He aimed the exact same trick at Bitcoin.
A Claude agent reads each 5-minute BTC market into MiroFish - a simulation that runs 31 model paths and only fires when 28 of them agree. Below 26 votes, it kills the trade.
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.
Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency.
That's the whole edge. Not a prediction. A quorum.
It sizes by Kelly and presses one button. Most signals never clear the vote, so most days it sits idle.
He spent years learning that certainty is a scam and consensus is the edge.
Forecasting the weather never paid him a cent.
Forecasting Bitcoin the same way just paid him $946,000.
But you don’t have to build your own bot - you can copy every single trade this algorithm makes with 0ms delay using this TG bot:
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An engineer at a Chicago HFT shop spent six years building latency arb pipes between CME and NYSE.
On May 1st his desk got cut. Severance: $40K.
He deposited $3000, ran a Hermes trading agent on Polymarket, and pulled in $236,913 over the next 23 days.
His agent wallet:
The pit taught him one thing - find where one venue knows something another doesn't, size to the gap, exit before the spread closes.
So he made 757 trades a day. Not 7. Not 75. And let the rest expire.
Here's the actual stack.
Claude Opus 4.7 reads spot momentum off Chainlink, scores every 5-minute BTC market by Markov persistence × Kelly edge
Then surfaces the windows where Polymarket hasn't priced in what Binance and Coinbase already confirmed.
Hermes Agent by NousResearch executes. A $10/mo Hetzner VPS runs it 24/7. Telegram pings on every fill.
Total cost: $10/month. Setup: 30 minutes. No coding.
One trade on May 14: Bitcoin Down at 9AM ET. Market said 15.8¢. He put $1,681 on Down. It hit. +$8,974. A 533% return in 47 minutes.
The real edge is the nightly self-learning loop. Every midnight, Opus reads the day's trade journal and rewrites MIN_PROB and MIN_EDGE in the .env file.
May 2nd the threshold was 0.87. May 12th 0.89. May 23rd 0.91. The bot tightens with the regime.
His version of the bot has rewritten itself 187 times in 23 days.
The desk that cut him couldn't ban him from Polymarket. The bot doesn't sit in the colo. It doesn't need a leased line. It just reads two endpoints and presses a button.
Save this if you want to dig in and understand Hermes.
Or just copy this guy trades using TG bot - his algorithm has been perfected 187 times:
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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.
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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:
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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:
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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:
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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:
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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:
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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.
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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. 🤝
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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:
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