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There's a Chinese quantitative trader who built a simulation system specifically designed to predict how the S&P 500 Index (SPX) reacts to various global events. Using this system, he's already made over $100,000—and every single trade is clearly recorded on the blockchain for verification at any time.
His price predictions are remarkably accurate.
The system is called MiroFish, and it's loaded with over 40 years of SPX trading history data (the project has garnered 18,000 stars on GitHub). It then uses AI to analyze every price movement throughout history in detail.
The result: this guy now has a system capable of precisely predicting SPX price movements.
Here's his track record:
Dozens of successful SPX price prediction trades on Polymarket, plus hundreds of tests across other stock markets—all results are on display.
To replicate this technical approach, you need to work through these steps:
· Get the data: Find a market data API (like Alpha Vantage or Quandl) and pull SPX price data.
· Build the pipeline: Write a Python program to process the data smoothly.
· Extract features: Organize tradeable signals, such as technical indicators like RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence).
· Feed the data: Use the historical datasets organized in the MiroFish project and convert them into a format the system can read.
· Run simulations: Build a multi-agent simulation system that includes different roles like macroeconomic strategists, analysts, and sentiment analysts working together to model scenarios.
· Calculate probabilities: Run multiple different market scenarios and analyze the probability distributions.
· Make decisions: Finally, combine it with a trading model to place orders on SPX futures (ES) or SPY ETF and similar instruments.
If you want to run a similar simulation with your own data, you can save and try the workflow above.
You can also share this content with Claude and work together to build your own simulation model (even start with a smaller version to test it out).
If you want to try following trades on Polymarket, you can check out this bot assistant:
#Polymarket