📈 AI Stock Price Predictor

An LSTM-based deep learning app that predicts future stock prices using real-time market data and technical indicators.

🧠 How It Works

• Fetches real-time stock data via yfinance
• Engineers technical indicators: SMA, EMA, RSI, MACD
• Trains a 2-layer LSTM neural network on historical data
• Predicts future prices for any date you choose
• Displays UP/DOWN trend table + interactive chart

🛠️ Tech Stack

• Python, TensorFlow/Keras, Scikit-learn
• yfinance (real-time data)
• Streamlit (web app)
• Pandas, NumPy, Matplotlib

📊 Features

• Enter any stock symbol (AAPL, MSFT, GOOGL, etc.)
• Select any future date
• Get day-by-day price predictions
• Visual chart: Historical + AI predicted prices
• Color-coded trend table (Green=UP, Red=DOWN)
• Key metrics: Start Price, End Price, % Change

⚙️ Run Locally

pip install -r requirements.txt streamlit run app.py

📁 Project Structure

├── app.py # Main Streamlit app ├── Stock_Predictor_LSTM.ipynb # Jupyter notebook ├── requirements.txt └── README.md