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A Share Analysis

nicepkg/ai-workflow

Built for analyzing stocks on China's Shanghai and Shenzhen exchanges with all the market-specific context that matters. It knows about T+1 settlement rules, the different price limits across board types (10% for main board, 20% for ChiNext and STAR), and how to track northbound capital flows through Stock Connect. The skill searches Chinese financial sites like East Money and Xueqiu for data, then structures analysis around fundamentals, technicals, institutional money movement, and policy impacts. Honestly most useful if you're actually trading A-shares or need to understand how factors like Dragon Tiger List appearances or shareholder concentration affect these stocks, since it's designed around mechanics that don't exist in Western markets.

skills.sh installs
146
GitHub stars
291
last updated
Aug 21, 2026
View on GitHub

Install

$ npx -y skills add nicepkg/ai-workflow --skill a-share-analysis --agent claude-code

Installs into .claude/skills of the current project.

Files

A股分析 (China A-Share Analysis)

Overview

Perform comprehensive analysis of China A-share stocks (Shanghai and Shenzhen exchanges) with consideration of unique market characteristics including T+1 trading rules, price limits, policy impacts, and capital flow dynamics.

Market Characteristics

Trading Rules

  • T+1 Settlement: Stocks bought today can only be sold the next trading day
  • Price Limits:
    • Main board: ±10% daily limit
    • ChiNext (创业板) & STAR Market (科创板): ±20% daily limit
    • ST stocks: ±5% daily limit
    • New IPO: No limit for first 5 trading days (ChiNext/STAR)
  • Trading Hours: 9:30-11:30, 13:00-15:00 (Beijing Time)
  • Call Auction: 9:15-9:25 (opening), 14:57-15:00 (closing)

Market Segments

  • Shanghai Main Board (沪市主板): 60xxxx - Large caps, SOEs
  • Shenzhen Main Board (深市主板): 00xxxx - Medium to large caps
  • ChiNext (创业板): 30xxxx - Growth/tech companies, ±20% limit
  • STAR Market (科创板): 688xxx - Innovation/tech, ±20% limit
  • Beijing Stock Exchange (北交所): 8xxxxx - SMEs

Data Sources

Use web search to gather data from:

SKILL.md on GitHub

Sponsors

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Details

Repository
github.com/nicepkg/ai-workflow
Categories
AI & Agent Building, Automation & Workflows, Finance & Trading
First seen
Jun 3, 2026

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