yang-yongxing-strategy

Combine Yang Yongxing's nine-step screening with SEPA analysis for A-share candidates.

20|6|Updated Apr 19, 2026
One-click install
npx skills add https://github.com/chenhe81/yang-yongxing-strategy --skill yang-yongxing-strategy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: yang-yongxing-strategy
Source: https://github.com/chenhe81/yang-yongxing-strategy/tree/main
Command: npx skills add https://github.com/chenhe81/yang-yongxing-strategy --skill yang-yongxing-strategy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires akshare, pandas, numpy, requests, pyyaml, openviking, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines A-share stock selection by fusing Yang Yongxing's nine-step technical filter with SEPA's fundamental scoring to quickly identify high-probability candidates and enable consistent portfolio decisions.

Core Features & Use Cases

-联合扫描: Combine Yang Yongxing九步筛选 with SEPA基本面验证 to produce high-confidence buy signals.

  • 卖出信号检查与持仓跟踪: Check next-day sell signals and maintain a live portfolio with backtested performance.
  • 数据聚合与对比复盘: Aggregate results across strategies and generate daily/weekly reports for review.

Quick Start

Tell the Skill to run a combined scan (qingluan + sepa) and then inspect the top candidates for potential buys.

Frequently Asked Questions about yang-yongxing-strategy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I combine Yang Yongxing's nine-step stock screening with SEPA fundamental analysis for A-share candidates?

You can execute a joint scan that fuses Yang Yongxing's nine-step technical filter with SEPA's fundamental scoring to produce high-confidence A-share buy signals and portfolio decisions.

What is the best way to track A-share portfolio sell signals and maintain performance records?

You can check next-day sell signals and maintain a live portfolio with backtested performance, enabling consistent tracking and review of your A-share holdings.

Can I use OpenViking for memory and learning in A-share stock screening strategies?

Yes, you can optionally leverage OpenViking for memory and learning within the stock screening workflow to enhance reproducible scoring and ensure auditable recommendations.

Does this A-share stock screening approach work with akshare and pandas for daily and weekly scans?

Yes, it uses akshare and pandas to execute daily scans (qingluan) and weekly scans (zhongda), aggregating results across strategies to generate daily and weekly reports for review.

How do I generate reproducible scoring and auditable recommendations for A-share trading strategies?

You can implement strict thresholds, data fusion rules, and reproducible scoring across your joint technical and fundamental scans to ensure auditable A-share recommendations.