setup.py

from setuptools import setup , find_packages

with open("README.md", "r") as fh:
    long_description = fh.read()

setup(
    name='plutus-backtest',

    version='0.3.3.1',

    description="plutus is a python package \
    for backtesting investment decisions using Python 3.6 and above.",

    long_description_content_type='text/markdown',

    license="MIT",

    keywords="backtest python stock portfolio trade daytrading finance downside risk management accumulation return profit loss optimization asset security currency crypto futures derivatives test",

    author="IlliaBoloto",

    author_email="ils.boloto96@gmail.com",

    long_description=long_description,

# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
    classifiers=[
        # How mature is this project? Common values are
        #   2 - Pre-Alpha
        #   3 - Alpha
        #   4 - Beta
        #   5 - Production/Stable
        'Development Status :: 4 - Beta',
# Indicate who your project is intended for
        'Intended Audience :: Developers',
        'Intended Audience :: Financial and Insurance Industry',

        # Indicate which Topics are covered by the package
        'Topic :: Software Development',
        'Topic :: Office/Business :: Financial',

        # Specify the Python versions you support here. In particular, ensure
        # that you indicate whether you support Python 2, Python 3 or both.
        "Programming Language :: Python :: 3.6",
        "Programming Language :: Python :: 3.7",
        "Programming Language :: Python :: 3.8",
        'Programming Language :: Python :: 3.9',
    ],

    packages=find_packages(include=['plutus', 'plutus.*']),

    url="https://github.com/plutus-IV-org/plutus_backtest",

    python_requires=">=3.6.0",

    install_requires=[
        "dash >= 2.3.0",
        "dash_bootstrap_components >= 1.1.0",
        "numpy >= 1.21.2",
        "pandas >= 1.3.3",
        "plotly >= 5.4.0",
        "setuptools >= 57.4.0",
        "tabulate >= 0.8.9",
        "visdcc >= 0.0.50",
        "yfinance >= 0.1.63",
        "werkzeug==2.0.0",
        "jupyter_dash",
        "pyworkingdays"
    ],
)