ML Stock Classifier – Buy/Sell Predictor”

This project builds a supervised ML model to predict whether AAPL stock will go UP or DOWN the next day using technical indicators.

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🧠 Features

🚀 Features

• 📈 Predicts BUY/SELL signals using a trained Random Forest Classifier
• 📊 Uses historical stock data with technical indicators like returns and moving averages
• 🧠 Includes train/test split with model evaluation (accuracy, confusion matrix)
• 📦 Built with pandas, scikit-learn, and matplotlib
• ✅ Clean, modular code structure ready for further enhancement or deployment

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📊 Model Performance

• Classifier: Random Forest (n=100)
• Accuracy: 66.7%
• Evaluation: Confusion Matrix + Feature Importance

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🧾 Author

Shiva Sai | Quant + FinTech Track | Pre-WashU MSF 2025