Query A-Share Stock Valuations with Precision Using eastmoney-stock-valuation

Where this fits

You're building an agent that helps a quantitative trader screen for undervalued A-share stocks. Every morning, the trader needs the latest PE (TTM and LYR), PB, PS, and market cap data across hundreds of tickers — not delayed or aggregated. Manually scraping East Money's site is brittle, and existing financial APIs often lack daily granularity. The eastmoney-stock-valuation skill plugs directly into your agent's data pipeline, giving it structured access to East Money's daily stock valuation records for the entire A-share market.

Why agents benefit

• Single-call access to 10+ valuation metrics (PE TTM/LYR, PB, PS, PEG, total/float market cap, close price) eliminates multi-API orchestration.
• Flexible query modes let your agent handle natural language like "show me the PB for 000001 on 2026-06-08" or "get all stocks' valuations for yesterday" without code changes.
• Built-in pagination (up to 500 records per page) allows agents to stream large market-wide datasets without hitting timeout limits.
• Interval queries enable agents to compute valuation trends over custom date ranges — useful for backtesting or alerting on divergences.
• No authentication overhead — agents can start querying immediately after installation.

Practical scenarios

Morning portfolio screening

An agent fetches the latest day's valuation snapshot for 3,000+ A-share stocks using a single --trade_date query, then filters for PE < 15 and PB < 1.5 to surface potential value plays.

Historical PE trend for a single stock

A research agent pulls all historical daily PE (TTM) for symbol=000001 between 2026-01-01 and 2026-06-30, then calculates z-scores to identify when the stock is trading at unusually low multiples.

Real-time alert for market-wide spikes

An agent runs a daily all-market query and compares sector-wise average PEG ratios against pre-defined thresholds, alerting the user if any sector hits a 90th percentile valuation.

Add it to your agent workflow

Install the skill via CLI:

npx skills add FTShare-Lab/FTShare-skill --skill eastmoney-stock-valuation

Then query a single stock on a specific date:

curl "http://your-agent:port/api/v1/market/data/eastmoney-stock-valuation?symbol=000001&trade_date=2026-06-08"

Response includes PE, PB, PS, market cap, and close price — ready for downstream analysis.

Compare before adopting

• Quality signals: East Money data is a primary source for A-share fundamentals; verify update timeliness (T+1 vs real-time) against your use case.
• Maintenance freshness: Check the GitHub repo for recent commits and issue resolution frequency — a skill with 58 stars and active maintenance signals reliability.
• Alternatives: Compare with skills that wrap Sina Finance or Tushare — this skill specifically avoids rate limits and complex registration.
• Workflow fit: If your agent already handles market-wide scans or custom date-range analytics, this skill is a drop-in replacement for scraping.

Why it is worth tracking

With 58 stars and a focused scope, this skill has clear community traction. Its straightforward query modes and rich valuation fields make it a strong candidate for any China-equity focused agent. Evaluate it when your A-share data pipeline needs daily granularity without the overhead of building your own East Money scraper.

For more details, visit the skill page on OpenAgentSkill: https://www.openagentskill.com/skills/ftshare-lab-eastmoney-stock-valuation.