Metadata-Version: 2.1
Name: quantfinlib
Version: 0.0.3
Summary: Fundamental package for quantitative finance with Python.
Home-page: https://quantfinlib.org/
License: MIT
Keywords: quantitative finance,asset management,financial engineering
Author: Thijs van den Berg, Andrejs Fedjajevs, Mohammadjavad Vakili, Nathan de Vries
Maintainer: Thijs van den Berg
Maintainer-email: thijs@sitmo.com
Requires-Python: >=3.9,<4.0
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Office/Business
Classifier: Topic :: Office/Business :: Financial
Classifier: Topic :: Office/Business :: Financial :: Investment
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Dist: matplotlib (>=3.9.0,<4.0.0)
Requires-Dist: numpy (>=2.0.0,<3.0.0)
Requires-Dist: pandas (>=2.2.2,<3.0.0)
Project-URL: Repository, https://github.com/quantfinlib/quantfinlib
Description-Content-Type: text/markdown

# QuantFinLib

QuantFinLib is a comprehensive Python library designed for quantitative finance. It offers a wide range
of tools and algorithms that cater to various domains within quantitative finance, including machine learning,
asset management, portfolio optimization, time series transformations, indicators, labeling, feature engineering,
stochastic simulation, randomization tests, and backtesting. This library aims to provide robust and efficient
solutions for financial data analysis, modeling, and trading strategy development.

