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.