Hvass-Labs/Finance-Research resource
Research in investment finance with Python Notebooks observed · 2026-08-28
Health v2 · maintenance only
73/100
- Activity 90
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2964
- days_rel: n/a
- days_push: 61
- n_releases_24m: 0
Adoption not part of the score
1130 stars · 230 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of research papers on long-term investing and portfolio optimization, written as runnable Python Jupyter Notebooks. It accompanies published SSRN papers and feeds the InvestOps Python package.
Use cases
- learn portfolio optimization with python notebooks
- research long-term stock forecasting
- study volatility harvesting strategies
- reproduce quantitative finance research papers
- understand portfolio diversification algorithms
- learn stock valuation methods
When to choose
- you want runnable, modifiable notebooks backing peer-distributed finance research
- you are studying quantitative investing or portfolio construction
- you want the algorithms behind the InvestOps package explained
When to avoid
- you need production trading software rather than research notebooks
- you want a maintained finance library - use InvestOps instead
- you need real-time market data tooling
Facets
learning-resource · maturity active
data-science math fintech data-science education python cross-platform jupyter-notebooks portfolio-optimization investing stock-valuation research-papers quantitative-finance
1 source
- readme: https://github.com/Hvass-Labs/Finance-Research · fetched 2026-08-28 · 52f9baff516a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Hvass-Labs/Finance-Research | main | 73 |
For agents
markdown · JSON · MCP: product_card(name="Hvass-Labs/Finance-Research")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem