Quantitative Finance Research Toolkit

This repo hosts my personal finance research code. Most helpers live in the qlib package, which you can import after installing the project in editable mode.

Quick start

• Install uv and clone this repo.
• Create the environment and install deps: uv sync.
• Make the qlib package importable everywhere: uv pip install -e .
• Run the test suite anytime with uv run pytest.

The editable install step keeps the repo and your environment in sync. Any code change you make is picked up right away without re-installing.

Data loader

qlib.data.loader.DataLoader fetches OHLCV data from a CSV, a URL, or yfinance, cleans it, and returns a tidy pandas.DataFrame. See tests/test_loader.py for example usage.