He quit his marketing job at 35, became obsessed with AI, and earned $360,000 in a single month using Claude.
His secret?
A Bitcoin price simulation engine.
Using Claude as the "brain" behind the algorithm, he automated trades that generated between $5,000 and $15,000 per position.
Here's how the system works:
Instant detection
The algorithm scans crypto markets and executes the moment it detects mispriced assets.
Exclusive data
It uses order book data and private OTC flows that the average trader never gets to see.
The real magic
Before entering, the engine runs 10,000 simulations to predict how the market will react.
That's how he reached $366K in total profit by consistently betting against the crowd.
Not because he guesses better.
But because his system reads the market better.
This isn't about drawing lines on charts or predicting candles anymore.
This is money engineered to order:
AI + math + private data + automated execution.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
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3. Follow me @marryevan999
@MMittermeier Welchen Sinn hat Ihr Post? Läuft unter aktuellen Regierungskombinationen nicht so rund. Sowas führt nunmal zu politkewechseln. Gehen die dann schief, wird wieder ander gewählt. Blöde Sache mit der Demokratie, da tut sich der gewöhnliche Linke halt schwer. Pfui Spinne
An Anthropic engineer literally stopped me at a coffee shop because of what was on my screen.
I was sitting at Sightglass running my Polymarket bot.
He looked over once.
Then again.
Then said:
“That’s not a normal trading setup.”
I told him the whole thing runs on:
• Claude Code
• 4 open-source repos
• $25/month
That’s it.
He pulled up a chair instantly.
“I work on the agent team at Anthropic,” he said.
“We stress test Claude for workflows exactly like this.”
Then I showed him what the bot was actually doing.
86 MILLION trades analyzed.
Every wallet.
Every entry.
Every exit.
Every profitable pattern.
One prompt:
“Find wallets with 100+ trades and 70%+ win rate. Rank by profit. Export the best ones.”
Claude scanned 14,000 wallets in 4 minutes.
Returned 47.
The top 20 wallets made more money than the other 13,000 combined.
He stared at the results and said:
“That’s not data analysis.
That’s a weapon.”
And we were just getting started.
Second repo:
A Rust CLI scraping 500 live Polymarket markets in minutes.
Claude filtered everything automatically:
• spread gaps
• liquidity depth
• timing windows
• whale behavior
500 markets became 35.
Before I even looked at them.
93% rejected automatically.
Then a trade closed live on my screen.
+$84.
He didn’t even blink.
“How does it decide when to enter?”
3 independent AI agents:
• arbitrage
• convergence
• whale-copying
No shared memory.
2 agents agree = full position
1 agrees = half size
Disagreement = no trade
That consensus system alone cut 40% of losing trades.
Then he asked the real question:
“What about exits?”
That’s where it gets stupid.
The profitable whales rarely hold to settlement.
91% exit early.
So my bot exits BEFORE they do.
It takes profit at:
• 85% expected move
or
• unusual volume spikes
Basically:
It copies smart money…
then front-runs their exits.
He just sat there staring at the terminal.
“How much did you start with?”
$200.
27 days ago.
Current balance:
$14,300.
271 trades.
74% win rate.
Sharpe ratio: 2.47.
Fully automated.
I haven’t touched it in weeks.
Before leaving he said:
“This is almost identical to the internal scenarios our red team simulates.”
Next morning I got an email from him.
“Would you be open to speaking with our policy team?”
I replied:
“The article IS the meeting.”
The craziest part?
This stack costs less than Netflix.
AI is no longer replacing workers.
It’s replacing entire hedge funds.
Comment “Claude” if you want the framework.
@GoeringEckardt Wenig qualifiziert…. Stellen sich Schilder aus Luft und Liebe her? Und sind es dann Luft und Liebe oder wer stellt die Schilder auf? Was soll Ihr Post?