₿ Bitcoin Price Predictor 📈

A machine learning–powered Bitcoin price prediction web app built using Streamlit, scikit-learn, and yfinance.
The app fetches real-time historical Bitcoin data, performs feature engineering with technical indicators, and predicts future prices using machine learning models.

⚠️ Disclaimer: This project is for educational purposes only. Cryptocurrency markets are highly volatile. Do not use this tool for real financial decisions.

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🚀 Features

• 📊 Real-time Bitcoin data using Yahoo Finance
• 🧠 Machine Learning models:
  • Linear Regression
  • Random Forest Regressor
• 📉 Technical indicators:
  • Moving Averages (7 & 30 days)
  • RSI (Relative Strength Index)
  • MACD
  • Volatility
  • Price & Volume Lags
• 🔮 Predict Bitcoin price 1–7 days ahead
• 📈 Interactive visualizations
• 🎯 Feature importance analysis (Random Forest)
• 📥 Download predictions as CSV
• 🌙 Dark-mode friendly UI

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🛠️ Tech Stack

• Python
• Streamlit
• scikit-learn
• Pandas & NumPy
• Matplotlib
• yfinance

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📂 Project Structure

Bitcoin-Price-Predictor/ │ ├── app.py # Main Streamlit application ├── README.md # Project documentation ├── requirements.txt # Python dependencies ├── .gitignore # Ignored files └── venv/ # Virtual environment (ignored)

📂 Project Structure