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Input and Output

Input and Output

Input

The input for this project is the historical stock market dataset.

Each record represents the trading activity for one day and contains numerical features describing the stock’s market performance.

The model uses these historical observations to learn market behavior and estimate future closing prices.

Output

The project generates predicted stock closing prices based on historical trading data.

The outputs include:

  • Predicted closing prices
  • Actual vs Predicted comparison
  • Model evaluation metrics
  • Visualizations showing stock price trends

These outputs help assess how accurately the model forecasts future stock prices.