📈 S&P 500 Markov Chain Predictor

✅ Data loaded successfully: 2528 data points (2014-08-19 to 2024-08-16)

Markov Chain Order (K-value): Higher values consider more historical states but may be less reliable due to data sparsity. Recommended: 1-3 for most cases.

Prediction Mode:

📊 Use Recent Historical Data

✏️ Enter Custom Daily Changes

How it works:

This predictor uses a Markov Chain to analyze historical S&P 500 daily changes and predict tomorrow's movement category. The model:

Groups daily changes into 8 categories (Large Drop to Large Rise)
Builds transition probabilities between state sequences
Uses the most recent K days to predict tomorrow's category
Falls back to simpler models if exact patterns aren't found

Note: This is for educational purposes only and should not be used for actual investment decisions.