65 lines
1.9 KiB
TOML
65 lines
1.9 KiB
TOML
[tool.poetry]
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name = "pyportfolioopt"
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version = "1.5.5"
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description = "Financial portfolio optimization in python"
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license = "MIT"
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authors = ["Robert Andrew Martin <martin.robertandrew@gmail.com>"]
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readme = "README.md"
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repository = "https://github.com/robertmartin8/PyPortfolioOpt"
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documentation = "https://pyportfolioopt.readthedocs.io/en/latest/"
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keywords= ["finance", "portfolio", "optimization", "quant", "investing"]
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classifiers=[
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"Development Status :: 4 - Beta",
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"Environment :: Console",
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"Intended Audience :: Financial and Insurance Industry",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: MIT License",
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"Natural Language :: English",
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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3 :: Only",
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"Topic :: Office/Business :: Financial",
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"Topic :: Office/Business :: Financial :: Investment",
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]
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packages = [ {include = "pypfopt"} ]
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[tool.poetry.urls]
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"Issues" = "https://github.com/robertmartin8/PyPortfolioOpt/issues"
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"Personal website" = "https://reasonabledeviations.com"
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[tool.poetry.dependencies]
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python = ">=3.8,<3.15"
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scipy = "^1.3"
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pandas = ">=0.19"
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cvxpy = "^1.1.19"
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numpy = "^1.22.4"
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matplotlib = { version="^3.2.0", optional=true }
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scikit-learn = { version="^0.24.1", optional=true }
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[tool.poetry.dev-dependencies]
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pytest = "^7.1.2"
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flake8 = "^4.0.1"
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jupyterlab = "^3.4.2"
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black = "^22.3.0"
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ipykernel = "^6.13.0"
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jedi = "^0.18.1"
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pytest-cov = "^3.0.0"
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yfinance = "^0.1.70"
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[tool.poetry.extras]
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optionals = ["scikit-learn", "matplotlib", "cvxopt"]
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[build-system]
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requires = ["poetry-core>=1.0.0"]
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build-backend = "poetry.core.masonry.api"
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[tool.black]
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line-length = 88
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[tool.isort]
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profile = "black"
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