terancejiang

terancejiang / Turtle_investment_framework

Public

龟龟策略的claude code/cowork workflow和对应的screener，需要tushareapi

60
13
100% credibility
Found Mar 11, 2026 at 34 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An open-source framework for automating fundamental analysis of A-share and Hong Kong stocks using financial data collection, annual report processing, and multi-factor evaluation.

How It Works

1
🔍 Discover the Helper

You find the Turtle Investment Framework on GitHub, a simple tool that makes checking Chinese and Hong Kong stocks easy and insightful.

2
📥 Set It Up

Download it to your computer and run the one-click setup to get everything prepared in minutes.

3
🔗 Link Market Data

Sign up for a free stock info service and connect it so the tool can grab real financial numbers.

4
📈 Analyze a Stock

Enter a stock code like 600887, and it automatically gathers years of data, scans reports, and delivers a smart breakdown.

5
🔎 Pick Top Stocks

Launch the stock finder to sift through thousands and spotlight the best ones by quality, returns, and value.

🎉 Smart Choices Ready

Enjoy clear reports and ranked lists that help you spot great investments with confidence and ease.

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AI-Generated Review

What is Turtle_investment_framework?

Python framework for AI-assisted fundamental analysis of A-shares and HK stocks, blending Tushare API data pulls with Claude LLM prompts for qualitative insights. Users get structured financial packs, PDF annual report extractions, and four-factor scores on asset quality, returns penetration, actuarial precision, and valuation safety margins. Run via CLI scripts or Claude code cowork slash command `/turtle-analysis ` for instant Markdown reports.

Why is it gaining traction?

Tight claude code cowork integration lets you trigger full workflows from Anthropic's interface, bypassing manual scripting—ideal for claude code cowork reddit discussions on investment automation. Two-tier screener filters 5000+ stocks in seconds (Tier 1 market data) then deep-dives survivors, with Jupyter notebooks for tweaking thresholds like min-ROE or max-PE. Caches Tushare calls smartly, respecting rate limits.

Who should use this?

Chinese market quants with Tushare Pro tokens screening for high-ROE, low-premium picks. Value investors automating annual report scans and bottom-up floor price calcs. Devs in claude code cowork windows setups or claude github integration experimenting with code/cowork investment frameworks.

Verdict

Promising for claude code coworking download users eyeing cheap AI-stock tools, but 16 stars and 1.0% credibility signal alpha-stage maturity—lean docs and no production polish. Fork if Tushare + Claude fits; test the screener CLI first.

(198 words)

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