Financial modelling in Python
Project description
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.
- Send him am email msc.smirnov.am+pyfinmod@gmail.com
- Shoot him a message in Linkedin
- Buy him a coffee here
Release history Release notifications | RSS feed
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