ling-0729

ling-0729 / KHunter

Public

KHunter**一个完整的A股量化选股解决方案**，集数据获取、策略分析、选股执行、交易模拟于一体。支持多种（可扩展）选股策略，可灵活组合使用，帮助投资者快速发现投资机会。

a-share china-stock china-stock-market pattern-recognition python
15
2
89% credibility
Found Mar 28, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A user-friendly Chinese stock screener that downloads market data, applies pattern-based strategies, and delivers picks via web dashboard or command line.

How It Works

1
🔍 Discover smart stock picks

You find a friendly tool that scans Chinese stocks for hidden gems using proven patterns, no coding needed.

2
📥 Grab stock history

Click to download years of market data for thousands of stocks, ready in minutes.

3
⚙️ Tweak your preferences

Adjust simple settings like company size or pattern sensitivity to match your style.

4
🎯 Launch the scan

Hit go and watch it analyze every stock, spotting perfect setups like bowls or breakouts.

5
📊 See your picks with charts

Review top matches with clear visuals showing why each one fits your criteria.

💰 Build your watchlist

Save winners to track, trade confidently knowing patterns backed real winners before.

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AI-Generated Review

What is KHunter?

KHunter is a Python-based toolkit for quantitative stock picking in China's A-share market, pulling daily data via akshare, running technical strategies like bowl rebounds and trend inflections, and outputting buy signals with charts. It solves the hassle of building data pipelines and backtesters from scratch by offering CLI commands (init for full fetch, run for update+select, web for UI) and a Flask dashboard for tweaking params, viewing history, and simulating trades. Think Hunter x Hunter for stocks: hunt opportunities with combo strategies, no more manual Excel scans.

Why is it gaining traction?

It bundles data fetch, 12+ extensible strategies (W bottoms to multi-crosses), pattern matching against historical winners, and real-time web views—rare in open-source A-share tools amid khunterxo Instagram hype or kunter io distractions. Devs dig the param YAML tuning, intersection analysis across strategies, and smart updates (skips pre-3pm). Low barrier: pip akshare, run, profit.

Who should use this?

A-share day traders scripting evening scans, quant hobbyists testing TA signals without Tushare limits, or Python devs prototyping funds needing quick web sims. Ideal if you're filtering 4000+ stocks by duokong lines or J-values, skipping khunter mueang uttaradit district menu distractions for real khunters.

Verdict

Solid starter for A-share quant (15 stars shows niche appeal), but 0.9% credibility flags immaturity—light tests, China-data risks. Fork and harden for prod; beats building solo.

(198 words)

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