trading-crab-lib/pyproject.toml at main · strycker/trading-crab-lib · GitHub

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[build-system]
requires = ["setuptools>=68,<76", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "trading-crab-lib"
version = "0.1.0"
description = "Market regime classification and prediction pipeline using macroeconomic data"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.10"
authors = [
    { name = "Strycker" },
]
keywords = [
    "finance",
    "market-regime",
    "clustering",
    "macroeconomics",
    "portfolio",
    "time-series",
    "machine-learning",
]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Financial and Insurance Industry",
    "Intended Audience :: Science/Research",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Topic :: Office/Business :: Financial :: Investment",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Typing :: Typed",
]
dependencies = [
    # Data
    "pandas>=2.0",
    "numpy>=1.25",
    "pyarrow>=14.0",          # parquet I/O
    # Data ingestion
    "fredapi>=0.5",
    "requests>=2.31",
    "beautifulsoup4>=4.12",
    "lxml>=4.9",              # fast HTML parser for BS4
    # Feature engineering / ML
    "scikit-learn>=1.4",
    "scipy>=1.11",
    # Config
    "pyyaml>=6.0",
    # Visualization
    "matplotlib>=3.8",
    "seaborn>=0.13",
    # Reporting (optional — add API key later)
    "python-dotenv>=1.0",
    "yfinance>=0.2",              # ETF price history for step 06
    "certifi>=2024.0",            # SSL CA bundle used by curl_cffi / yfinance
]

[project.urls]
Homepage = "https://github.com/strycker/trading-crab-lib"
Repository = "https://github.com/strycker/trading-crab-lib"
Issues = "https://github.com/strycker/trading-crab-lib/issues"

[project.optional-dependencies]
dev = [
    "pytest>=8.0",
    "pytest-cov",
    "ipykernel",
    "jupyterlab",
    "flake8",
]
# Alternative / fallback ETF price data sources (used when yfinance fails).
# Phase 3 — stooq via pandas-datareader: free, no API key, daily data back to ~1993.
# Phase 4 — OpenBB: wraps multiple providers (cboe free; fmp/tiingo need API keys).
data-extras = [
    "pandas-datareader>=0.10",
    "openbb>=4.1",
]
# Optional clustering backends and elbow detection utilities.
# hdbscan — hierarchical DBSCAN; more robust than DBSCAN for varying densities.
# kneed   — KneeLocator for automated elbow/knee detection on inertia curves.
clustering-extras = [
    "hdbscan>=0.8",
    "kneed>=0.8",
]

[tool.setuptools.packages.find]
where = ["src"]

[tool.setuptools.package-data]
trading_crab_lib = ["py.typed"]

[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["src"]