This Chinese quant built a simulation of how SPX price reacts to any global event.
Made over $100K with full blockchain proof.
He knows exactly where price will go.
I found his wallet. Reverse-engineered the entire system.
Then used Claude new Fable 5 rebuild it in under an 1hr.
Here is what he actually did.
Loaded 40+ years of SPX trading history into MiroFish simulator.
18K stars on GitHub. Open source. Agentic framework.
AI analyzed every single moment in that trading history.
Now he has a fully functional SPX price prediction system.
Dozens of successful SPX trades. Hundreds of tests across other stock markets.
Here is exactly what the stack looks like:
→ Market data APIs for SPX price (Alpha Vantage or Quandl)
→ Data pipeline built in Python
→ Feature engineering for output signals like RSI and MACD
→ Seed dataset for MiroFish (convert data into structured context)
→ Multi-agent simulation (macro strategist, earnings analyst, sentiment analyst agents)
→ Probability forecast running different scenarios
→ Trading decision model (SPX futures ES, SPY ETF)
The agents do not predict.
They simulate.
They run every possible market reaction to news, earnings, Fed moves, geopolitical events.
Then they converge on the highest probability outcome.
Trade only fires when all agents agree.
I rebuilt this exact pipeline with Claude Fable 5 (Mythos)
Fed it the framework. Connected the data sources. Let it simulate.
The agent monitors SPX patterns 24/7.
Runs scenarios in real-time.
Alerts me when convergence hits.
You can feed the whole thing to Claude and build your first simulation model together.
Even a small one.
You only need Claude + device + 1 hour to deploy.
Giving this free for 24 hours.
To get it:
1. Comment the word "Claude"
2. Like and retweet this
3. Follow me @codewithimanshu so I can DM you
Save this post. Build the simulation system this week.
Start with paper trading. Scale on evidence.