prof-little-bear

prof-little-bear / cc-equity-research

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Turn Claude Code into an equity-research agent: 24 analysis skills (Anthropic's open-source bundle + community), a single data MCP, and a personalization layer for investors at any level.

agentic-ai ai-agents anthropic claude-code equity-research
14
2
100% credibility
Found May 13, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A user-friendly collection of guides and setups that transform an AI assistant into a stock research expert, providing analysis workflows for discovering ideas, examining companies, monitoring positions, and exploring market trends using accessible data for US and Japanese equities.

How It Works

1
📰 Discover the toolkit

You stumble upon this handy collection while searching for easy ways to research stocks with AI help.

2
📥 Bring it into your AI helper

Follow the simple guide to load it up in your AI chat tool, and everything gets ready in moments.

3
🔗 Connect free stock data

Link to a friendly service that pulls in all the company reports, earnings, and market info you need – with lots free for everyday users.

4
⚙️ Set your comfort level

Pick a style that matches you – simple explanations for beginners or deep dives for pros – and your AI adjusts automatically.

5
Choose your research adventure
💡
Hunt for stock ideas

Explore themes, supply chains, or hidden gems to spark new investment thoughts.

📈
Dive into a company

Get the full story on any stock's business, earnings, or risks.

👀
Track your picks

Watch upcoming events or check if your investment ideas still hold up.

🌍
Check big picture trends

See how economy, rates, or trade affect the markets.

🎉 Unlock smart insights

You now have clear, tailored reports that help you understand stocks better and make confident decisions.

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Star Growth

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AI-Generated Review

What is cc-equity-research?

This repo turns Claude Code into an equity-research agent, bundling 24 analysis skills from Anthropic's open-source pack and community extensions with a single drillr.ai data MCP that pulls financials, SEC filings, earnings transcripts, alt data, and macro signals for US and Japanese stocks—free tier included. Slash commands like `/discover`, `/analyze`, `/monitor`, and `/macro` route natural-language queries to workflows for idea generation, deep dives, position tracking, and economic research. It solves the gaps in Anthropic's skills: pricey institutional data stacks and jargon-heavy outputs unsuited for non-sell-siders.

Why is it gaining traction?

It stands out by turning Claude Code into a personal assistant for equity work in minutes, swapping $150K/year data vendors for one accessible MCP with generous free quotas. Adaptive modes tweak tone, depth, and jargon for your experience level via simple config files, while plain-language routing keeps the interface dead simple—no SQL or complex prompts needed. Developers hook on the quick setup and parallel-agent power for supply chains or catalysts.

Who should use this?

Retail investors screening themes or running forensics on tickers like 7203 (Toyota); indie analysts without FactSet budgets tracking theses or catalysts; portfolio managers monitoring watchlists; academic economists digging macro flows or company ontologies. Skip if you're not in equities or prefer full custom agents.

Verdict

Grab it if you use Claude Code for investments—installs in under 27 mins to turn it into your executive assistant. With 14 stars and 1.0% credibility score, it's early-stage and unproven at scale, but multilingual docs and Apache 2.0 license make it low-risk to test.

(198 words)

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