mandeephp/Volatility_Chart

Volatility_chart is a Django application for analyzing and visualizing financial data. It supports importing data from CSV, calculating Supertrend indicators, and displaying candlestick charts to track market trends.

Volatility Chart

Volatility Chart is a Django application designed for analyzing and visualizing financial data. It supports importing data from CSV files, calculating financial indicators, and providing interactive charts.

Features

• Import financial data from CSV files.
• Calculate financial indicators.
• Visualize data with interactive charts.

Installation

1. Clone the repository:

   git clone https://github.com/mandeephp/Volatility_Chart.git
   cd Volatility_Chart

2. Set up a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install dependencies:

   pip install -r requirements.txt

4. Apply migrations:

   python manage.py migrate

5. Run the development server:

   python manage.py runserver

Usage

• Open your browser and go to http://127.0.0.1:8000/ to access the application.

Configuration

• Ensure your CSV files match the expected format for importing data.

Development

• To contribute or make changes, create a new branch, make your changes, and submit a pull request.

Acknowledgments

• Django for providing the web framework.
• Plotly or other libraries for charting (if used).