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STOCK PRICE PREDICTOR

LINK TO MY APP : https://atifbeast-stocks-price-predictions-stocks-ctcijo.streamlit.app/

An innovative application that leverages Deep Learning techniques to predict future prices on the highly volatile stock market.

Preview

Features

  • Utilizes LSTM (Long Short-Term Memory) for accurate price predictions.
  • Integrates RNNs (Recurrent Neural Networks) to effectively capture and retain historical data patterns.
  • Employs MongoDB for seamless storage of daily predictions and improved scalability.
  • Provides accurate and reliable insights for short-term investors.
  • Supports various ticker symbols for users to select from.
  • Utilizes the Tiingo API for real-time stock updates.

Installation

  1. Clone the repository:
git clone https://github.com/Atifbeast/Stocks-Price-Predictions.git
  1. Change to the project directory:
cd stock-price-predictor
  1. Install the dependencies:
pip install -r requirements.txt

Usage

  1. Obtain a Tiingo API key by signing up at Tiingo.
  2. Open the config.py file and replace the API_KEY value with your Tiingo API key.
  3. Run the application:

Contributing

Contributions are welcome! If you find any issues or have suggestions, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.