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setup.py
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setup.py
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from setuptools import setup, find_packages
with open('README.md', 'r', encoding="utf-8", errors='ignore') as fh:
long_description = fh.read()
version = {}
with open("vectorbt/_version.py", encoding="utf-8") as fp:
exec(fp.read(), version)
setup(
name='vectorbt',
version=version['__version__'],
description='Python library for backtesting and analyzing trading strategies at scale',
author='Oleg Polakow',
author_email='[email protected]',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/polakowo/vectorbt',
packages=find_packages(),
package_data={
'vectorbt': ['templates/*.json']
},
install_requires=[
'numpy>=1.16.5, <2.0.0',
'pandas',
'scipy',
'matplotlib',
'plotly>=4.12.0',
'ipywidgets>=7.0.0',
"numba>=0.53.1, <0.57.0; python_version<'3.10'",
"numba>=0.56.0, <0.57.0; python_version>='3.10' and python_version<'3.11'",
"numba>=0.57.0; python_version>='3.11'",
'dill',
'tqdm',
'dateparser',
'imageio',
'scikit-learn',
'schedule',
'requests',
'pytz',
'typing_extensions; python_version < "3.8"',
'mypy_extensions'
],
extras_require={
'full': [
'yfinance>=0.2.22',
'python-binance',
'ccxt>=4.0.14',
'alpaca-trade-api>=1.4.3',
'ray>=1.4.1',
'ta',
'pandas_ta',
'TA-Lib',
'python-telegram-bot>=13.4,<20.0', # LGPLv3
'quantstats>=0.0.37'
],
'cov': [
'pytest',
'pytest-cov',
'codecov'
]
},
python_requires='>=3.6',
license='Apache 2.0 with Commons Clause',
classifiers=[
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Intended Audience :: Financial and Insurance Industry',
'License :: Free for non-commercial use',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
'Programming Language :: Python :: 3.12',
'Operating System :: OS Independent',
'Intended Audience :: Science/Research',
'Topic :: Software Development',
'Topic :: Office/Business :: Financial',
'Topic :: Scientific/Engineering :: Information Analysis'
],
)