Skip to main content

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

Project description

BharatFinTrack

PyPI - Version PyPI - Status PyPI - Python Version PyPI - Wheel

GitHub last commit GitHub commit activity codecov

flake8 mypy pytest Read the Docs

GitHub Release Date GitHub Created At

Pepy Total Downloads PyPI - License

BharatFinTrack is a Python package designed to simplify the process of downloading and analyzing financial data from India. Conceptualized on September 1, 2024, and launched on September 8, 2024, the package is tailored for long-term investors looking to streamline their financial data workflows using reliable public sources. This package focuses on historical data and fundamental tracking; it does not include features for technical indicators or real-time trading. The package aims to empower users by providing easy access to open-source data, enabling them to make informed financial decisions. Currently, the package offers the following features:

Nifty Equity Indices

  • Provides access to detailed information about equity indices.
  • Enables downloading and updating daily Total Return Index (TRI) data for all equity indices.
  • Fetches closing values for both Price Return Index (PRI), excluding dividend reinvestment, and TRI for all equity indices.

National Pension System

  • Provides complete access to Pension Fund Manager (PFM) information alongside their respective schemes and unique identifiers.
  • Enables downloading full historical Net Asset Value (NAV) data from inception for any given PFM and specified scheme.
  • Fetches the most recent NAV values for selected schemes across multiple PFMs in a single workflow.

Compound Annual Growth Rate (CAGR)

  • Sorts PRI and TRI indices by CAGR (%) either globally or filtered within specific categories.
  • Calculates year-wise CAGR rolling backward from the present date for a specified asset (either a TRI index or an NPS scheme).
  • Compares the year-wise CAGR (%) and the compounding growth of a fixed annual investment across multiple assets (chosen from TRI indices or NPS schemes).

Systematic Investment Plan (SIP)

  • Estimates annual SIP performance, including investment amount, closing balance, and cumulative growth over a specified number of years and expected annual return, with options for yearly, quarterly, monthly, or weekly contributions.
  • Calculates the terminal closing summary of an SIP with a fixed monthly contribution to a specified asset (either a TRI index or an NPS scheme) starting from a given date.
  • Computes year-wise SIP returns rolling backward from the present date for a fixed monthly contribution, accepting either a specific TRI index or an NPS scheme as the asset.
  • Compares the year-wise XIRR (%) and compounding growth of a fixed monthly SIP investment across multiple assets (chosen from TRI indices or NPS schemes).

Analysis

  • Identifies key turning points, peak-to-trough corrections, and recoveries over the historical timeline of an specified asset.
  • Extracts historical values from downloaded data between the specified given start and end dates.

Visualization

  • Shows bar graphs of top-performing PRI and TRI indices by CAGR (%) since launch, with options to view a specified number of top indices, either overall or within each category.
  • Compares returns between a specified index and government securities for a monthly SIP of 1 Rupee over time.
  • Illustrates a line plot comparing the growth of a monthly SIP investment across multiple NSE equity TRI indices over the years.
  • Depicts a line plot comparing the growth of a one-time investment across multiple NSE equity TRI indices over the years.

Application

BharatFinTrack provides insights into the performance of equity indices. For instance, the following bar plot highlights the top five equity indices by TRI CAGR (%) within each category since their respective launches. This snapshot provides a powerful visual overview of long-term performance trends of CAGR (%) across different index categories over the years.

Category-wise Top Five TRI CAGR(%) of NSE Equity Indices

In the above graph, the NIFTY MIDCAP150 MOMENTUM 50 stands out as one of the best-performing NSE equity indices within the strategy category in terms of long-term CAGR (%). The following graph presents a comparison of year-wise investments and returns for a monthly SIP of 1 Rupee between government securities and a passive fund tracking the TRI of NIFTY MIDCAP150 MOMENTUM 50.

Year-wise SIP comparison between NIFTY_MIDCAP150_MOMENTUM_50 and Government Bond

Additionally, the following plot compares the growth multiples (X) of a monthly SIP investment across TRI indices, including the popular index NIFTY 50 and other top-performing NSE equity indices over the years.

Year-wise SIP growth comparison across multiple indices

Installation

To install, use pip:

pip install BharatFinTrack

After a successful installation, the following code should run without errors:

import BharatFinTrack
nse_product = BharatFinTrack.NSEProduct()

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.

Buy Me a Coffee

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bharatfintrack-0.4.1.tar.gz (30.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

bharatfintrack-0.4.1-py3-none-any.whl (34.4 kB view details)

Uploaded Python 3

File details

Details for the file bharatfintrack-0.4.1.tar.gz.

File metadata

  • Download URL: bharatfintrack-0.4.1.tar.gz
  • Upload date:
  • Size: 30.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for bharatfintrack-0.4.1.tar.gz
Algorithm Hash digest
SHA256 eb7c26fd2c9cde8a9269c0c430e88049dd0be0ebdd6b14243f04313c6a980d85
MD5 641eeaee561238aa55999cd33c80e481
BLAKE2b-256 cc60faf698300fe4793e97b37775036350678278548252e6d868827fe01d4585

See more details on using hashes here.

File details

Details for the file bharatfintrack-0.4.1-py3-none-any.whl.

File metadata

  • Download URL: bharatfintrack-0.4.1-py3-none-any.whl
  • Upload date:
  • Size: 34.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for bharatfintrack-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 eec93150976a43906623d3c5255a83f5b17059fae29e39ba6490b1d326c096b4
MD5 14a87538711dc902d1cf18a48256fe28
BLAKE2b-256 637760593f742976f12333835cc0db0e659889be1d38cb6456c5d6ca1a532d45

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page