Real-Time Stock Price Predictor (LSTM + Transformer)

A fully functional Streamlit web app that predicts future stock prices using a hybrid LSTM + Transformer model. Fetches real-time data via Yahoo Finance.

🚀 Features

• Real-time stock ticker prediction
• Transformer + LSTM hybrid deep learning model
• Technical indicators: RSI, EMA12/26, MACD, Bollinger Bands
• Multi-day future predictions
• Interactive Plotly charts

▶️ Run locally

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

🌐 Deploy to Streamlit Cloud

1. Push this repo to GitHub
2. Go to https://share.streamlit.io/
3. Select this repo → choose app.py
4. Deploy

Files

• app.py — Streamlit app
• best_model.pth — trained PyTorch model
• scaler.save — MinMaxScaler for input normalization
• requirements.txt — app dependencies