LightAlgo system companion toolkit for fetching stock market data.
Project description
lightalgo-stock-fetcher
lightalgo-stock-fetcher is the LightAlgo system companion toolkit for fetching and normalizing stock market data.
Features
- Modern
pyproject.tomlpackaging based on Hatchling src/layout ready for PyPI publishing- Python 3.11+ target with typed package metadata
- Minimal standard-library HTTP fetcher to grow from
- Dev tooling extras for build, lint, test, and PyPI upload checks
Quick start
Create a Python 3.11 virtual environment:
PYTHON_BIN=python3.11 ./scripts/bootstrap.sh
If your Python 3.11 interpreter is installed at a custom path:
PYTHON_BIN=/absolute/path/to/python3.11 ./scripts/bootstrap.sh
Run the test suite:
.venv/bin/pytest
Build distribution artifacts:
.venv/bin/python -m build
Check package metadata before publishing:
.venv/bin/twine check dist/*
Upload to TestPyPI:
.venv/bin/twine upload --repository testpypi dist/*
Upload to PyPI:
.venv/bin/twine upload dist/*
Package layout
.
├── pyproject.toml
├── README.md
├── scripts/bootstrap.sh
├── src/lightalgo_stock_fetcher/
└── tests/
Next steps
- Replace the placeholder fetcher implementation with your actual data-source integrations
- Add project URLs once the repository homepage and issue tracker are ready
- Expand tests around auth, retries, parsing, and provider-specific adapters
Project details
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