📈 (S&P 500) Stock Market Prediction

This project uses historical data from the S&P 500 index to predict whether the market will go up the next day.

What does it do?

• Fetches full historical S&P 500 data using the yfinance API
• Creates new predictive features like:
  • Moving average ratios
  • Recent trend counts
• Trains a Random Forest Classifier to predict the next day’s movement
• Returns both actual and predicted values for validation

🛠️ Technologies

• Python
• pandas, yfinance
• scikit-learn (RandomForestClassifier)
• matplotlib (optional, for visualization)

📥 Data Source

All data is pulled directly from Yahoo Finance using yfinance:

import yfinance as yf
sp500 = yf.Ticker("^GSPC").history(period="max")