Skills

China Comps

Comparable company analysis for A-share stocks.

Install

npx skills add jwangkun/claude-for-financial-services-cn --skill china-comps -g -a claude-code -y
Category
AI and agents
Updated
2mo ago
License
Apache-2.0
Context cost
Lightabout 995 tokens
Runs scripts
No, instructions only

What it does

Comparable company analysis for A-share stocks. Uses AkShare MCP to build peer groups, pull financial data, compute valuation multiples (PE, PB, PS), and assess relative value within a Chinese industry sector.

china-comps

Data Sources (Multi-Tier)

Tier 0, 万得 Wind(最全面付费数据)

  • 覆盖:A股/港美股/基金/指数/债券/宏观/研报/分析(44个工具)
  • MCP 服务:wind-mcp(需 WIND_API_KEY 密钥,以 ak_ 开头)
  • 优势:全市场覆盖面最广、数据最全面、包含研报和量化分析
  • 密钥申请:https://aifinmarket.wind.com.cn/#/home

Tier 1, 同花顺 iFind(付费精确数据)

Use ifind MCP when a valid IFIND_AUTH_TOKEN is configured.

ifind_get_stock_info(ticker)             → Company profile, multiples
ifind_get_stock_financials(ticker, ...)  → Revenue, net income, margins
ifind_search_stocks(query)               → Industry-wide stock screening

Tier 2, AkShare(免费开源数据)

Fallback when iFind is unavailable.

get_quote(ticker)              → Price, PE, PB, market cap
get_financials(ticker, "income", "annual")  → Revenue, net income
get_financials(ticker, "balance", "annual") → Book value
get_stock_info(ticker)         → Business description

数据源模式开关: 当环境变量 IFIND_DATA_SOURCE_MODE=ifind-only 时,仅使用 iFind 数据源,禁用 AkShare 降级。


name: china-comps description: Comparable company analysis for A-share stocks. Uses the AkShare MCP to build peer groups, pull financial data, compute valuation multiples (PE, PB, PS), and assess relative value within a Chinese industry sector. Use instead of the original comps-analysis skill when dealing with Chinese-listed equities.

china-comps

Workflow

1. Define the peer group

Start with the target stock, then use get_industry_stocks(industry="<行业名称>") to get the full peer set for that industry. Common industry names used in the 东方财富 classification:

Read the whole SKILL.md on GitHub

More in AI and agents