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Financial modelling in Python

Project description

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Financial modelling with Python and Pandas

Implemented functions:

  • Basic calculations
    • Net present Value
    • Internal rate of returns
    • Flat loan payments
    • Future value
    • Continuously compounded interest rate
  • Enterprise value
    • Free Cash Flows
    • Weighted average cost of capital and DCF

Based on this book Financial Modeling by Simon Benninga

Changelog

v0.2.2:

  • Fixed broken API link
  • Fixed minor bugs

v0.2.1:

  • Fixed failed tests
  • Integrate code coverage
  • Cleaned-up code, relative paths, broken links

v0.2:

  • Switched to financialmodelingprep.com API for financials
  • PyPI release
  • readthedocs release

Features in the next releases

  • Optimal portfolio calculation
  • Caching of API results

Documentation

The latest docs are available here.

Installation

Easiest way to install is to use pip

pip install pyfinmod

Contributing

All contributions in the form of pull-requests and issue reports are welcome.

Support

This package is originally created by Alexey Smirnov. All credits to him for his awesome work.

  1. Send him am email msc.smirnov.am+pyfinmod@gmail.com
  2. Shoot him a message in Linkedin
  3. Buy him a coffee here

Buy me a coffee

Project details


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