infusionvictor/warren-buffett-jr — explained in plain English
Analysis updated 2026-05-18
Search any US ticker and get a plain-English scorecard with bull, medium, and bear price targets.
Discover mid-sized, profitable, growing companies using the built-in screener.
Run a full six-agent research report on a stock directly inside Claude Code.
Use the command line tool to analyze, scorecard, or screen stocks in scripts.
| infusionvictor/warren-buffett-jr | 0petru/sentimo | agi-eval-official/forte | |
|---|---|---|---|
| Stars | 17 | 17 | 17 |
| Language | Python | Python | Python |
| Setup difficulty | easy | moderate | hard |
| Complexity | 3/5 | 3/5 | 4/5 |
| Audience | researcher | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
No API keys are required to start, optional FMP, FinnHub, and FRED keys enrich the data.
Warren Buffett Jr is a multi-agent stock analysis system built on top of Claude Code, following a methodology called Ruta 2030 Wall Street Agent System. A main orchestrator agent coordinates six specialist sub-agents that each look at a stock from a different angle: business quality, financial health, market and growth trends, technical momentum, risk and resilience, and valuation. Each specialist works independently and does not see the others' scores until all six are finished, so a strong valuation cannot quietly cover up weak fundamentals, or the other way around. The final report combines all six into an auditable score out of 100 points. The project follows a strict rule: without evidence there is no number, without a number there is no score, and without a formula there is no conclusion. If the data needed for a section is missing, the system marks that part as not scorable instead of filling the gap with a confident sounding guess. There are two ways to use it. A web app, built in Python, lets you search any US company by ticker or name and see a plain language explanation, a 1 to 10 scorecard from the agents, and a 12 month price chart with bull, medium, and bear targets. It also includes a screener that surfaces mid sized, profitable, growing companies you might not already know. A command line tool offers the same analyze, scorecard, and screen actions. No API keys are required to start, since core financial data comes from the free SEC EDGAR filings and Yahoo price data, though you can add optional API keys for extra data sources. The second way is the full six agent system, run from inside Claude Code by simply asking it to analyze a ticker, the orchestrator then builds the data packet, runs the six specialists, and produces the full audited report. The README notes that this deeper Python engine, covering technical indicators and a full valuation model, is still being built. The project states clearly that its output is research only, with stated assumptions, not investment advice, and it never places trades on its own.
A six-agent stock research system, built on Claude Code, that scores US companies on fundamentals, technicals, and valuation.
Mainly Python. The stack also includes Python, Claude Code, SEC EDGAR API.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
double-check against the repo, no cap.