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Stock Forecasting App with ARIMA Model and Django

This repository contains a stock forecasting application built using the ARIMA (AutoRegressive Integrated Moving Average) model and Django framework. The application allows users to input stock data and obtain forecasted values based on the ARIMA model's predictions.

Features

  • ARIMA Model: The application utilizes the ARIMA model, a popular time series forecasting technique, to predict future stock prices based on historical data.
  • Interactive Web Interface: The application provides a web-based interface built with Django, allowing users to interact with the ARIMA model easily.
  • Visualization: The predicted stock values are visualized using charts, providing users with an intuitive representation of the forecasted trends.

Installation

To set up the Stock Forecasting App, follow these steps:

  1. Clone the repository:

    https://github.com/rahim-khan-iitg/stock_forecasting.git
  2. Change to the project directory:

    cd stock_forecasting
  3. Create a virtual environment:

    python3 -m venv venv
  4. Activate the virtual environment:

    • Windows:

      venv\Scripts\activate
    • Unix/Linux:

      source venv/bin/activate
  5. Install the dependencies:

    pip install -r requirements.txt
  6. Perform database migrations:

    python manage.py migrate
  7. Run the application:

    python manage.py runserver
  8. Access the Stock Forecasting App by visiting http://localhost:8000 in your web browser.

Usage

  1. Open the Stock Forecasting App in your web browser.
  2. Select the company name from the search box .
  3. select the select the option what to forecast.
  4. then click on the load data.

Contributing

Contributions to the Stock Forecasting App are welcome! If you find any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.

Contact

For any questions or inquiries, please contact Rahim Khan at rahimkhan7627047457@gmail.com.


We hope you find this Stock Forecasting App useful! Enjoy forecasting stock prices with the power of ARIMA and Django!

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