# mshumer/gpt-investor

Repository: https://github.com/mshumer/gpt-investor
Canonical: https://ross.abutalabs.com/products/gpt-investor
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2024-03-26T15:44:09+00:00

## Health v2 (maintenance only)
Score: 25/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 63
- inputs: {"age_days": 894, "days_push": 890, "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 2265, forks 277 (observed 2026-08-28T04:06:32.604120+00:00)

## What it is
An experimental AI agent notebook that uses Claude 3 models to analyze stocks in a given industry, gathering financial data, news, and analyst ratings to produce ranked investment recommendations. It is a Jupyter/Colab notebook intended for educational investment research, not financial advice.

## Use cases
- analyze stocks in an industry with AI
- rank companies by investment potential
- perform sentiment analysis on stock news
- generate investment reports with Claude
- compare a company against its peers
- get AI-generated price targets and recommendations

## When to choose
- you want an LLM-driven stock research workflow you can run and modify in a notebook
- you have an Anthropic API key and want quick industry-wide company comparisons
- you want an educational example of building an AI analysis agent

## When to avoid
- you need real-time market data or reliable financial advice
- you want production-grade, auditable investment tooling
- you cannot use Anthropic's Claude API

## Facets
- artifact type: application
- maturity: experimental
- function: agent-framework, nlp, data-science, analytics
- domain: fintech, artificial-intelligence, large-language-models
- platform: python, cli
- tags: investment-analysis, stock-research, claude, jupyter-notebook, sentiment-analysis, financial-data, ai-agents

## Member repositories
- mshumer/gpt-investor (main) score 25

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:32.604120+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 2026-08-30T02:42:25.247007+00:00, confidence not recorded.
  - readme: https://github.com/mshumer/gpt-investor (fetched 2026-08-28T04:06:32.604120+00:00, sha 2af17bc1fdb9)
- Data as of 2026-08-30T08:39:29.467469+00:00.