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Stock Price Prediction with LSTM

A Streamlit app that fetches stock/crypto data from Alpha Vantage, trains an LSTM model, and predicts future prices.

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Features

• Real-time and historical data for stocks (e.g., TSLA) and crypto (e.g., BTC).
• LSTM-based price predictions.
• Interactive UI with plots and forecasts.

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Technologies

• Python 3.7+
• Streamlit, Pandas, Numpy, Scikit-learn, TensorFlow, Matplotlib, Alpha Vantage API

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Setup

1. Get an Alpha Vantage API key here.
2. Replace "API" in app.py with your key.
3. Install dependencies: pip install streamlit pandas numpy scikit-learn tensorflow matplotlib alpha-vantage
4. Run: streamlit run app.py

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Usage

• Enter a ticker (e.g., AAPL, BTC).
• Set historical days (100–1000) and prediction days (1–10).
• Click Predict to see current price, historical fit, and future forecasts.

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Limitations

• Real-time data is approximated.
• Free API has rate limits (5 requests/min).

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How It Works

Fetches data → Preprocesses → Trains LSTM → Predicts → Visualizes.

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