# Hvass-Labs/Finance-Research

Research in investment finance with Python Notebooks

Repository: https://github.com/Hvass-Labs/Finance-Research
Canonical: https://ross.abutalabs.com/products/finance-research
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: finance, investing, python, portfolio-optimization, stocks
Last push: 2026-07-03T09:11:31+00:00

## Health v2 (maintenance only)
Score: 73/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 90, release rhythm 35, longevity 100
- inputs: {"age_days": 2964, "days_push": 61, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1130, forks 230 (observed 2026-08-28T04:03:42.334960+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: data-science, math
- domain: fintech, data-science, education
- platform: python, cross-platform
- tags: jupyter-notebooks, portfolio-optimization, investing, stock-valuation, research-papers, quantitative-finance

## Member repositories
- Hvass-Labs/Finance-Research (main) score 73

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:42.334960+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:38:05.007829+00:00, confidence not recorded.
  - readme: https://github.com/Hvass-Labs/Finance-Research (fetched 2026-08-28T04:03:42.334960+00:00, sha 52f9baff516a)
- Data as of 2026-08-30T08:39:29.467469+00:00.