stock-pe-pb-analyzer
分析股票PE/PB历史水位的专业工具。使用BaoStock API获取真实股票数据，计算股票在过去十年中的PE、PB历史百分位水位。适用于：1）查询单个股票的PE/PB历史估值水平；2）评估当前估值相对于历史的高低位置；3）为投资决策提供估值参考数据。支持通过股票名称（如贵州茅台）或代码（如600519）查询A股所有股票。
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/caoyachao/stock-pe-pb-analyzer-skillWhat This Skill Does
The stock-pe-pb-analyzer is a specialized financial data tool designed to help investors and analysts evaluate A-share stocks through historical valuation metrics. By leveraging the BaoStock API, this skill extracts time-series financial data to calculate Price-to-Earnings (PE-TTM) and Price-to-Book (PB-MRQ) ratios over the last decade. It automatically computes historical percentiles, transforming raw market data into actionable intelligence. Users can instantly determine if a stock is currently trading at a premium or a discount relative to its own historical range, supporting more data-driven investment decisions.
Installation
To integrate this skill into your OpenClaw agent, execute the following command in your terminal:
clawhub install openclaw/skills/skills/caoyachao/stock-pe-pb-analyzer-skill
Ensure that you have the required Python environment installed with pandas, numpy, and baostock dependencies to ensure data processing and statistical calculations function correctly.
Use Cases
- Individual Stock Analysis: Quickly assess whether a specific stock, such as '贵州茅台' or '600519', is overvalued or undervalued.
- Portfolio Monitoring: Evaluate your current holdings to identify which assets have reached 'low' valuation percentiles, potentially signaling buying opportunities.
- Historical Trend Benchmarking: Compare the current valuation against 1, 3, 5, and 10-year benchmarks to understand long-term cyclical patterns.
- Risk Management: Avoid entering positions during periods of extreme overvaluation by identifying high-percentile 'hot' stocks.
Example Prompts
- "分析一下贵州茅台目前的PE和PB水位，看看现在是不是买入的好时机。"
- "查询代码600519的过去十年估值水平，并输出一份详细的统计报告。"
- "对比一下当前市场中各周期PE百分位情况，评估这只股票的估值是否处于历史低位区间。"
Tips & Limitations
- Data Precision: The skill filters out extreme anomalies (PE > 1000) to ensure statistical relevance, but always verify market conditions during volatile periods.
- Dependency Management: Ensure your environment has stable internet access, as the skill fetches real-time historical data from the BaoStock API.
- Investment Disclaimer: This tool provides quantitative analysis based on historical data; it does not constitute financial advice. Always perform your own due diligence and consider qualitative factors such as company management, macroeconomic environment, and industry growth prospects alongside these metrics.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-caoyachao-stock-pe-pb-analyzer-skill": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api, code-execution
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