Quant Paper Digest
A secure workflow for discovering and explaining new quantitative-finance research.
Purpose
Quant Paper Digest turns recent arXiv q-fin papers into a small, curated research digest. Each selected paper receives a plain-English explanation and a separate mathematical treatment.
Implemented
- Recent-paper discovery across modeling, pricing, trading, statistical finance, and risk categories.
- Deterministic HTML and JSON output with MathJax.
- Strict Markdown, HTML, URL, and TeX safety boundaries.
- Python 3.9, 3.11, and 3.12 CI, dependency auditing, and network-free tests.
Paper selection and analysis remain explicit research steps; the renderer does not pretend to evaluate paper quality automatically.
Repository access is available on request while the research package is being prepared for public release.