Stock Price Prediction

This project predicts stock price trends using historical data and news sentiment analysis, combining LSTM, ARIMA, and NLP for stocks like Alphabet (GOOG).

How to Run

1. Open Stock_analysis.ipynb in Google Colab or Jupyter Notebook.
2. Install dependencies: pip install -r requirements.txt
3. Get a NewsAPI key from NewsAPI and add it to the notebook.
4. Run all cells to see predictions and plots.

Requirements

• Python 3.11
• Libraries: NumPy, Pandas, NewsAPI-Python, TensorFlow, Scikit-learn, NLTK

Model Weights

Download the pre-trained model (my_tf_model,403MB) from Google Drive