A 35-year-old marketer quit his job in Hong Kong and went all in on AI.
One month later: $360,000.
He built a BTC price simulation engine using Claude Fable 5 + MiroFish.
Claude runs the algorithm.
MiroFish simulates the trades.
$5,000 to $15,000 profit per trade.
His Polymarket wallet tells the whole story: $366k all-time profit.
He even left an easter egg in his username. Marketing101. His old life.
Here's how it works:
His algorithm scans for mispricing in crypto markets 24/7.
The moment it detects an edge, it enters instantly.
No hesitation.
No emotion.
No second-guessing.
While everyone else reacts to price moves, his system is already 10,000 simulation cycles ahead.
Closed order book data + private OTC desks feed the engine.
Then MiroFish runs 10,000 scenarios of how the market will respond.
This isn't chart reading.
This is engineered money.
Pure fusion of:
→ AI decision-making
→ MiroFish simulation
→ Advanced math on exclusive data
He's constantly fading the crowd because his simulation reads the market better than everyone else.
Most traders guess where the chart goes next.
He already knows 10,000 versions of what happens next.
Want to learn how to build something like this?
🎁 I'm putting together the exact AI trading stack, prompts, and workflow behind this.
Like + Repost + Comment "Fable" and I'll DM it to you.
Make sure to follow me @codewithimanshu ( so i can send you DM)
Save this post and read the full breakdown.
A guy from Ohio built an AI trading bot that made over $1,000,000 in crypto markets.
Two full years of consistent profits.
Not luck. Not hype. Just pure alpha.
I reverse-engineered his entire system.
Same trader. Same playbook. Five winning trades:
$34 → $4,113 on ETH UP Nov 25 (119x)
$252 → $22,202 on ETH UP Feb 7 (88x)
$46 → $4,048 on ETH UP Aug 15 (87x)
$138 → $7,148 on SOL DOWN Sept (51x)
$63 → $3,259 on ETH DOWN May 16 (51x)
$1,003,045 total profit.
3,210 trades.
78% win rate.
I had to know if this was real or just lucky timing.
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 holds 41.8 GB of point-in-time market state.
He doesn't predict where ETH goes.
He reads the gap between what his AI model knows and what the crowd hasn't priced in yet.
Every dollar he made came from someone paying for not seeing the mispricing fast enough.
The system runs on:
→ Claude for decision logic
→ Real-time market data
→ 1 hour per day to monitor
Save this if you want to learn how to build it yourself.
Or just study the trades of someone who's been trading perfectly for two years straight.
💡 I'm sharing the full breakdown for free for 24 hours.
To get it:
1️⃣ Comment "Fable"
2️⃣ Like and Repost
3️⃣ Follow @codewithimanshu So,I'll DM you the details.
ChatGPT Side Hustle Guide Free Giveaway 😍
Learn how to use ChatGPT + a laptop + an internet connection + just 60 minutes a day with my step-by-step guide.
To get it –
1.Reply "AI" & Like.
2.retweet this post.
3.Follow me @codewithimanshu (so that I can DM you).
⏳ FREE for the next 48 hours only!
El arbitraje más asqueroso y corrupto de la historia del futbol y del deporte. Vean esta recopilación con todas las ayudas para Messi y Argentina.
Egipto fue víctima del robo del siglo 🇪🇬🤬
La FIFA Manchada de por vida.
@quinouer@GlodeJo07 Porqué los mataron? Los criminales también tienen derechos ... Porqué no aplicó para estos? O se trata nuevamente de chivos expiatorio para que no se indague más