Contents

QuantLib 1.33

0

Python bindings for the QuantLib library

Python bindings for the QuantLib library

Stars: 4778, Watchers: 4778, Forks: 1681, Open Issues: 54

The lballabio/QuantLib repo was created 8 years ago and the last code push was Yesterday.
The project is very popular with an impressive 4778 github stars!

How to Install quantlib

You can install quantlib using pip

pip install quantlib

or add it to a project with poetry

poetry add quantlib

Package Details

Author
QuantLib Team
License
BSD 3-Clause
Homepage
https://www.quantlib.org
PyPi:
https://pypi.org/project/QuantLib/
GitHub Repo:
https://github.com/lballabio/quantlib

Classifiers

  • Scientific/Engineering
No  quantlib  pypi packages just yet.

Errors

A list of common quantlib errors.

Code Examples

Here are some quantlib code examples and snippets.

GitHub Issues

The quantlib package has 54 open issues on GitHub

  • Option pricing BARONE-ADESI/WHALEY and negative rate
  • Refactor it.
  • AndreasenHugeVolatilityAdapter seems not work well
  • Replace boost::unordered_{map,set} with std::unordered_{map,set}
  • URGENT General Linear Least Squares Class
  • US Settlement Calendar Issue for New Years 2021/22?
  • ASW calculator to include RFR indicies
  • C++ modernization - unordered_set, optional, etc
  • BPSCalculator does not take into account coupon's compounding
  • Fix TreeSwaptionEngine Mispricing
  • Unexpected jumps in callable bond OAS
  • Unused definitions in QuantLib
  • non-virtual implementation of deepUpdate()
  • Is checkRange(t, extrapolate) in YieldTermStructure::discount necessary?
  • ExCouponDate should advance from schedule date

See more issues on GitHub

Related Packages & Articles

pyfolio 0.9.2

pyfolio is a Python library for performance and risk analysis of financial portfolios

PyAlgoTrade 0.20

PyAlgoTrade is an event driven algorithmic trading Python library.

finta 1.3

Common financial technical indicators implemented in Pandas.

pandas-ta 0.3.14b

An easy to use Python 3 Pandas Extension with 130+ Technical Analysis Indicators. Can be called from a Pandas DataFrame or standalone like TA-Lib. Correlation tested with TA-Lib.

ta 0.11.0

ta is a Python module that provides a technical analysis library, designed to enable feature engineering from financial time series datasets. It is built on the pandas and numpy libraries and offers a wide range of indicators such as volume, volatility, trend, and momentum indicators. ta is designed for Python developers working in the financial sector, making it a valuable asset in the field of Financial Software and Fintech Solutions, particularly for those developing trading algorithms or investment strategies.

akshare 1.13.31

AKShare is an elegant and simple financial data interface library for Python, built for human beings!