pyproject.toml

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "neuralstockprophet"
version = "0.0.3"
description = "LSTM-ARIMA with attention mechanisms and multiplicative decomposition for sophisticated stock forecasting."
license = {file = "LICENSE"}
authors = [
    {name = "Lucas Chan", email = "chanconan@gmail.com"},
]
maintainers = [
    {name = "Lucas Chan", email = "chanconan@gmail.com"},
]
keywords = ["stock", "forecasting", "LSTM", "ARIMA", "attention", "multiplicative decomposition"]
readme = "README.md"
classifiers=[
    'Development Status :: 3 - Alpha',
    'Intended Audience :: Developers',
    'License :: OSI Approved :: MIT License',
    'Natural Language :: English',
    'Operating System :: OS Independent',
    'Topic :: Scientific/Engineering :: Artificial Intelligence',
    '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',
    "Programming Language :: Python :: 3 :: Only",
]
requires-python = ">=3.8"
dependencies = [
    "numpy",
    "pandas",
    "scikit-learn",
    "scipy",
    "statsmodels",
    "ta",
    "tensorflow",
    "tensorflow-metal",
    "quadprog",
    "jax",
    "jaxlib",
    "tqdm",
    "riskparityportfolio",
    "yfinance",
    "empyrical",
]

[project.urls]
Repository = "https://github.com/lucaswychan/neural-stock-prophet"

[project.optional-dependencies]
tests = [
    "pytest",
    "pytest-cov"
]
lint = [
    "black",
    "flake8"
]

[tool.black]
line-length = 120
target-version = ['py39']