AngelOne Stock Data Fetching Tool (using the AngelOne Smart API)

A professional trading analytics platform that leverages Angel One's SmartAPI to fetch, analyze, and manage stock market data with precision. This robust application provides comprehensive functionality for both historical and real-time stock data analysis.

Setup

1. Install the required dependencies:

   pip install -r requirements.txt
   

2. Configure your API credentials:

   • Open config.py
   • Update the following variables with your actual credentials:
     • API_KEY: Your Angel One API key
     • CLIENT_CODE: Your client code (not email)
     • MPIN: Your MPIN
     • TOTP_SECRET: Your valid Base32-encoded TOTP secret

Usage

Run the main application:

python main.py

This will display a menu with the following options:

1. Fetch historical data for a specific stock

   • Fetches daily historical data for a specific stock (configured in config.py)
   • Saves data to historical_data.csv

2. Fetch historical data for all stocks in portfolio

   • Fetches daily historical data for all stocks in your portfolio
   • Saves data to portfolio_stocks_jan_to_mar.csv

3. Fetch full history of all stocks in portfolio

   • Fetches daily historical data for all stocks in your portfolio from their purchase dates
   • Saves data to portfolio_stocks_full_history.csv

4. Fetch minute-level data for a specific stock

   • Fetches minute-level data for a specific stock (configured in config.py)
   • Fetches data in batches to avoid API limits
   • Saves data to [STOCK_SYMBOL]_minute_data.csv

File Structure

• main.py: Main entry point for the application
• config.py: Configuration settings and API credentials
• utils.py: Utility functions for API operations
• fetch_historical_data.py: Script to fetch historical data for a specific stock
• fetch_portfolio_data.py: Script to fetch historical data for all stocks in portfolio
• fetch_portfolio_full_history.py: Script to fetch full history of all stocks in portfolio
• fetch_minute_data.py: Script to fetch minute-level data for a specific stock
• requirements.txt: List of required dependencies

Notes

• Make sure to keep your API credentials secure
• The application uses TOTP (Time-based One-Time Password) for authentication
• Data is fetched in batches to avoid API rate limits