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。

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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:

Industry	Example Leaders
白酒	{{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}}
半导体	{{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}}
电池	{{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}}
银行	{{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}}
证券	{{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}}
保险	{{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}}
医疗器械	{{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}}
光伏设备	{{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}}
汽车整车	{{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}}
软件开发	{{SECTOR_LEADER}}, {{CHALLENGER_1}}, {{CHALLENGER_2}}

2. Pull financial data for each peer

For each ticker in the peer set:
  get_quote(ticker)         → price, PE, PB, market cap
  get_financials(ticker, "income", "annual")     → revenue, net income
  get_financials(ticker, "balance", "annual")    → book value, debt
  get_stock_info(ticker)    → business description

3. Compute standard multiples

Multiple	Formula	AkShare source field
PE (TTM)	Price / EPS TTM	get_quote → 动态市盈率
PB	Price / Book Value per share	get_quote → 市净率
PS (TTM)	Market Cap / Revenue TTM	Compute from market cap + revenue
EV/EBITDA	Enterprise Value / EBITDA	Compute from market cap + debt - cash
Dividend Yield	DPS / Price	get_quote → 股息率

4. Present the comps table

Sort by market cap (largest first). Flag outliers (>2 standard deviations from mean). Include:

• Ticker, company name, price
• Market cap (亿 CNY)
• PE, PB, PS
• Revenue growth %, Net margin %
• 52-week high/low

5. Relative value assessment

• If target's PE is >1 std dev above peer mean → potentially overvalued
• If target's PE is >1 std dev below peer mean → potentially undervalued
• Flag companies with negative earnings separately
• Compare PEG ratios (PE / growth rate) when growth data is available

Notes

• All financial data from AkShare is based on Chinese accounting standards (CAS), not IFRS/US GAAP
• Chinese market has 涨跌停 limits (±10% for main board, ±20% for ChiNext/STAR)
• A-share market cap includes both circulating (流通) and non-circulating shares — check if the user wants 流通市值 or 总市值
• For cross-market comps (A-share vs HK-listed), note that A-shares typically trade at a premium