BharatFinTrack 0.1.5

Downloading and analyzing financial data, including indices, stocks, bonds, and mutual funds, from India, that is Bharat.

BharatFinTrack

BharatFinTrack is a Python package designed to simplify the process of downloading and analyzing financial data from India, that is Bharat. Conceptualized on September 1, 2024, and launched on September 8, 2024, this package is tailored for long-term investors seeking to streamline their financial data workflows. It focuses on open-source financial data and currently provides functionality for analyzing NSE equity indices. However, it is important to note that the package does not include features for technical indicators or real-time trading at this time. Active development is ongoing, with exciting new features planned for future releases. The goal of BharatFinTrack is to empower users by offering easy access to open-source data, enabling them to make informed financial decisions. Currently, the package offers the following features:

• Nifty Indices

  • Provides access to the characteristics of NSE equity indices.
  • Facilitates downloading and updating daily TRI data for all NSE equity indices.
  • Fetches closing values of prices (excluding dividend reinvestment) and Total Return Index (TRI) for all NSE equity indices.

• Functionality

  • Calculates the updated CAGR (%) of all NSE equity index prices and TRI since their inception.
  • Sorts equity indices by CAGR (%) values since inception.
  • Plots the descending sort of CAGR (%) by index category since inception.

Roadmap

• Add support for downloading equity index price data (excluding dividend reinvestment) for the specified start and end dates.
• Include NAV (Net Asset Value) data for mutual funds.
• Include NAV data for the National Pension System (NPS).

Easy Installation

To install, use pip:

pip install BharatFinTrack

Quickstart

A brief example of how to start:

>>> import BharatFinTrack
>>> nse_product = BharatFinTrack.NSEProduct()
>>> nse_product.equity_index_category
['broad', 'sector', 'thematic', 'strategy', 'variant']

# get the list of all NSE equity indices
>>> nse_product.all_equity_indices
['NIFTY 100',
 'NIFTY 200',
 'NIFTY 50',
 'NIFTY 50 ARBITRAGE',
 ...]

# download TRI data for a specified NSE equity index
>>> nse_tri = BharatFinTrack.NSETRI()
>>> nse_tri.download_historical_daily_data(
        index='NIFTY 50',
        start_date='23-Sep-2024',
        end_date='27-Sep-2024'
    )
	      Date	   Close
0	2024-09-23	38505.51
1	2024-09-24	38507.55
2	2024-09-25	38602.21
3	2024-09-26	38916.76
4	2024-09-27	38861.64

Documentation

For detailed information, see the documentation.

Support

If this project has been helpful and you'd like to contribute to its development, consider sponsoring with a coffee! Support will help maintain, improve, and expand this open-source project, ensuring continued valuable tools for the community.

Toolkit

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