guhcostan

guhcostan / b3analysis

Public

Agente de análise de ações brasileiras (B3) com Claude Code — sem API keys

18
3
100% credibility
Found Mar 26, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

B3Analysis is an educational tool that employs teams of AI assistants to screen, analyze Brazilian stocks, and suggest portfolios using public market data.

How It Works

1
🔍 Discover the stock analyzer

You hear about a free tool that helps everyday people check out Brazilian stocks using smart helpers and public info.

2
📥 Bring it to your computer

You download the files, and with one simple start, it sets up everything you need on its own—no extra work.

3
🚀 Find top stock picks

Tell it to scan dozens of popular Brazilian stocks, and it ranks them into elite, good, or avoid lists based on smart checks.

4
⭐ See your ranked winners

A clear list pops up showing the strongest stocks with reasons why they stand out, like steady profits and good liquidity.

5
📊 Dive deep into a favorite

Pick one stock from the list, and ask for a full breakdown with charts, news, economy links, and expert opinions.

6
💼 Build a pretend portfolio

Share a few top picks and some play money amount, and it suggests how to split it up smartly with risk thoughts.

🎉 Get your insights ready

You now have easy-to-read reports on stocks, economy snapshots, and portfolio ideas—all for learning without real risks.

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AI-Generated Review

What is b3analysis?

This Python tool deploys Claude-powered AI agents to analyze Brazilian B3 stocks, pulling OHLCV, fundamentals, macro data from BCB, and news from Google RSS—all sem API keys. Run slash commands like /b3:screen for tiered screening of 60 tickers using Logan's quality criteria, /b3:swarm WEGE3.SA for 11-agent deep dives on moats, valuations, and bear cases, or /b3:portfolio to optimize allocations. It spits out Portuguese reports on escadinha lucros, D/EBITDA, and Selic impacts, with auto venv setup via run.sh.

Why is it gaining traction?

Zero-config data flows beat API-locked alternatives, letting you screen brasileiras ações instantly like a github agente ia or modo agente github copilot tuned for B3. Agent swarms mimic buy-side teams with parallel technicals (RSI/MACD), governance checks, and devil's advocate critiques—faster than manual yfinance scripts. Devs dig the claude code hooks for error detection, edging out generic github agent s or agente zero github for finance.

Who should use this?

Retail traders screening B3 tickers for Novo Mercado liquidity and tag-along protection. Finance hobbyists building conviction on WEGE3 or ITUB3 via macro snapshots. Python devs prototyping multi-agente github setups for stock analysis without chave hassles.

Verdict

Grab it for educational B3 screening if you're into claude agents com python—docs guide flows well, commands just work. But 18 stars and 1.0% credibility signal immaturity: no tests, niche scope; test locally before relying on swarm outputs.

(198 words)

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