mlquantx 0.2.6 is live: try with pip, extend on GitHub

[initial-d]

mlquantx 0.2.6 is live on PyPI. The package keeps the one-command first run and now turns every successful demo into a path back to the source and community.

Try it

python -m pip install --upgrade mlquantx
mlquant demo

The PyPI distribution name is mlquantx; the Python import package and command remain mlquant.

After all five stages succeed, the CLI links to the repository and reproduction-report form. Generated Markdown and JSON summaries now carry the same traceable links.

Extend it

git clone https://github.com/initial-d/ml-quant-trading.git
cd ml-quant-trading
python -m pip install -e ".[dev]"

Clone the source when you want to change factors, models, data sources, portfolio constraints, or backtest assumptions.

PyPI: https://pypi.org/project/mlquantx/
Release: https://github.com/initial-d/ml-quant-trading/releases/tag/v0.2.6
Reproduction report: https://github.com/initial-d/ml-quant-trading/issues/new?template=reproduction_report.yml
Chinese long-form introduction: https://zhuanlan.zhihu.com/p/2068624477336950404

Research and educational use only. The synthetic demo validates the engineering path; it is not evidence of live trading performance or investment advice.

[initial-d]

PyPI is live now: python -m pip install mlquantx && mlquant demo. Fresh-environment installation and the complete five-stage demo have been verified against the public package.

[initial-d]

v0.2.6 is now public on PyPI. The successful demo completion message and generated reports both point users back to GitHub, so pip install becomes the top of the contributor funnel instead of a replacement for cloning.