# martinshkreli/models

stock market models - have fun

Repository: https://github.com/martinshkreli/models
Canonical: https://ross.abutalabs.com/products/martinshkreli-models
Language: HTML
License: NOASSERTION
License Family: other
Last push: 2026-08-26T01:01:45+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 1511, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1725, forks 224 (observed 2026-08-28T04:05:28.086944+00:00)

## What it is
A collection of stock market financial models organized by ticker and sector, distributed as Excel spreadsheet files. It includes sector models (biopharma, software, telecom, etc.), disease-area models, hedge fund data, patent and PDB files, and stock screens.

## Use cases
- download equity research models for biotech and pharma companies
- find stock valuation spreadsheets by ticker
- study how professional financial models are built in Excel
- screen stocks using prebuilt stock screens
- explore hedge fund holdings and patent data
- get software and telecom company financial models

## When to choose
- you want ready-made Excel financial models for equity research
- you are learning financial modeling and want real-world examples
- you need sector-level stock analysis spreadsheets for free

## When to avoid
- you need programmatic APIs or live market data feeds
- you require a maintained, licensed software tool rather than static files
- you need guaranteed accuracy or audit-ready financial data

## Facets
- artifact type: dataset
- maturity: active
- function: data-science, analytics
- domain: fintech, spreadsheets
- platform: cross-platform
- tags: stock-market, financial-models, excel, equity-research, biopharma, hedge-funds, finance

## Member repositories
- martinshkreli/models (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:28.086944+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 2026-08-30T03:33:51.873096+00:00, confidence not recorded.
  - readme: https://github.com/martinshkreli/models (fetched 2026-08-28T04:05:28.086944+00:00, sha 2a362f548319)
- Data as of 2026-08-30T08:39:29.467469+00:00.