v0.2.5 - Portable Packaging and Reproducibility Artifacts

v0.2.5 - Portable Packaging and Reproducibility Artifacts

The v0.2.5 wheel is live on GitHub Releases and can run its deterministic demo from any working directory.

Install now

python -m pip install https://github.com/initial-d/ml-quant-trading/releases/download/v0.2.5/mlquant-0.2.5-py3-none-any.whl
mlquant demo

The exact mlquant project name is awaiting PyPI approval. Until that review finishes, the command above installs the same verified release wheel directly from GitHub.

Highlights

• Run mlquant demo from any directory without cloning the repository.
• Ship the deterministic small configuration inside the wheel.
• Keep explicit mlquant demo --config PATH behavior for custom research runs.
• Include the Hugging Face dataset/model export and documentation.
• Include the community-reviewed clarification of cumulative transaction-cost metrics.

Verification

• Built both wheel and source distribution from a clean build environment.
• Checked both distributions with twine check --strict.
• Verified the wheel contains mlquant/configs/small.yaml.
• Installed and ran the wheel in an isolated environment outside the repository.
• Passed CI on Python 3.9, 3.10, and 3.11, including the full CLI smoke test.

Research boundary

The bundled demo uses deterministic synthetic data. It verifies installation and the factor-to-backtest engineering path; it is not evidence of live or out-of-sample trading performance and is not investment advice.