A professional Hong Kong stock valuation analysis tool, providing overall market valuation, industry valuation comparison, and in-depth individual stock valuation analysis.
Core Features
📊 Overall Market Valuation
- Hang Seng Index Valuation Level
- Historical Percentile of Market Valuation
- Relationship Between Valuation and Returns
- Valuation Trend Analysis
🏢 Industry Valuation Comparison
- PE/PB/PS/PCF Comparison Across Industries
- Historical Percentile of Industry Valuation
- Industry Relative Valuation Analysis
- Valuation Rotation Identification
🎯 Individual Stock Valuation Analysis
- Multi-dimensional Valuation Metrics
- Historical Valuation Range
- Valuation Comparison Within the Same Industry
- Valuation Reasonableness Assessment
📈 Valuation Models
- DCF Cash Flow Discount Model
- DDM Dividend Discount Model
- Relative Valuation Model
- Asset Replacement Cost Model
Use Cases
Investment Decision-Making
- Identify Undervalued/Overvalued Opportunities
- Formulate Valuation-Based Investment Strategies
- Industry Allocation Decisions
- Buy/Sell Timing for Individual Stocks
Risk Management
- Valuation Risk Monitoring
- Bubble Risk Identification
- Valuation Reversion Risk
- Portfolio Valuation Optimization
Research and Analysis
- Research on the Relationship Between Valuation and Returns
- Valuation Effectiveness Analysis
- Market Efficiency Research
- Cross-market Valuation Comparison
Output Content
📊 Market Valuation Overview
恒生指数估值水平 (2026-02-15):
PE (TTM): 12.5x (历史分位数: 35%)
PB (MRQ): 1.2x (历史分位数: 40%)
PS (TTM): 1.8x (历史分位数: 45%)
PCF (TTM): 8.5x (历史分位数: 30%)
股息率: 3.2% (历史分位数: 65%)
估值评分: 65/100 (适中偏低)
🏢 Industry Valuation Comparison
行业估值排名 (PE TTM):
1. 银行板块: 6.2x (历史分位数: 25%)
2. 地产板块: 8.5x (历史分位数: 30%)
3. 公用事业: 12.8x (历史分位数: 40%)
4. 科技板块: 25.6x (历史分位数: 60%)
5. 消费品: 28.9x (历史分位数: 70%)
🎯 Individual Stock Valuation Analysis
腾讯控股 (00700) 估值分析:
PE (TTM): 18.5x (历史分位数: 45%)
PB (MRQ): 3.2x (历史分位数: 50%)
PS (TTM): 6.8x (历史分位数: 55%)
PCF (TTM): 12.5x (历史分位数: 40%)
DCF估值: 380.0港元 (当前溢价: -5.5%)
DDM估值: 365.0港元 (当前溢价: -8.8%)
相对估值: 375.0港元 (当前溢价: -6.8%)
综合估值: 373.0港元 (当前溢价: -7.2%)
📈 Valuation Signals
市场估值信号:
- 整体估值: 适中偏低 (买入信号)
- 行业轮动: 科技→价值 (轮动信号)
- 个股机会: 银行、地产被低估 (机会信号)
- 风险提示: 科技股估值偏高 (风险信号)
Valuation Methods
Absolute Valuation
- DCF Model: Free Cash Flow Discounting
- DDM Model: Dividend Discount Model
- Asset Replacement: Replacement Cost Method
- Liquidation Value: Liquidation Value Method
Relative Valuation
- PE Valuation: Price-to-Earnings Multiple
- PB Valuation: Price-to-Book Multiple
- PS Valuation: Price-to-Sales Multiple
- PCF Valuation: Price-to-Cash-Flow Multiple
- EV/EBITDA: Enterprise Value Multiple
Cross-market Valuation
- AH Share Comparison: A-share vs H-share valuation comparison
- Global Comparison: Comparison with Global Market Valuations
- Historical Comparison: Comparison with Historical Valuation Levels
- Industry Comparison: Valuation Comparison Within the Same Industry
Technical Indicators
Valuation Indicators
- PE Ratio: Current PE vs Historical PE
- PB Ratio: Current PB vs Historical PB
- Valuation Percentile: Historical Position of Current Valuation
- Valuation Deviation: Current Valuation vs Reasonable Valuation
Trend Indicators
- Valuation Trend: Valuation Change Trend
- Valuation Momentum: Valuation Change Speed
- Valuation Rotation: Industry Valuation Rotation
- Valuation Convergence: Valuation Mean Reversion
Risk Indicators
- Valuation Risk: Overvaluation Risk
- Bubble Risk: Market Bubble Risk
- Reversion Risk: Valuation Reversion Risk
- Liquidity Risk: Insufficient Liquidity Risk
Data Sources
Primary Data Sources
- Hong Kong Stock Exchange: Official Financial Data
- Bloomberg: Real-time Valuation Data
- Reuters: Historical Valuation Data
- Major Brokerages: Research Report Data
Data Update Frequency
- Real-time Data: Updated in real time during trading hours
- Financial Data: Quarterly Update
- Valuation Data: Daily Update
- Historical Data: Over 10 years of historical data
Usage
Basic Query
# 获取市场估值
python scripts/valuation_analyzer.py --market
# 获取行业估值
python scripts/valuation_analyzer.py --sectors
# 获取个股估值
python scripts/valuation_analyzer.py --stock 00700
# 获取估值排名
python scripts/valuation_analyzer.py --ranking
Advanced Analysis
# DCF估值模型
python scripts/valuation_analyzer.py --dcf 00700
# 相对估值分析
python scripts/valuation_analyzer.py --relative 00700
# 估值历史分析
python scripts/valuation_analyzer.py --history 00700 --period 5y
# 估值敏感性分析
python scripts/valuation_analyzer.py --sensitivity 00700
Configuration Options
Valuation Methods
# DCF模型
python scripts/valuation_analyzer.py --method dcf
# DDM模型
python scripts/valuation_analyzer.py --method ddm
# 相对估值
python scripts/valuation_analyzer.py --method relative
# 综合估值
python scripts/valuation_analyzer.py --method comprehensive
Display Options
# 简洁模式
python scripts/valuation_analyzer.py --simple
# 详细模式
python scripts/valuation_analyzer.py --detailed
# 排序选项
python scripts/valuation_analyzer.py --sort by_pe
Output Format
Table Format
┌─────────────┬──────────┬─────────┬──────────┬──────────┐
│ 行业名称 │ PE TTM │ PB MRQ │ 历史分位 │ 评级 │
├─────────────┼──────────┼─────────┼──────────┼──────────┤
│ 银行板块 │ 6.2x │ 0.8x │ 25% │ 买入 │
│ 地产板块 │ 8.5x │ 0.9x │ 30% │ 买入 │
│ 科技板块 │ 25.6x │ 3.8x │ 60% │ 持有 │
│ 消费品 │ 28.9x │ 4.2x │ 70% │ 卖出 │
└─────────────┴──────────┴─────────┴──────────┴──────────┘
JSON Format
{
"date": "2026-02-15",
"market_valuation": {
"hsi_pe_ttm": 12.5,
"hsi_pb_mrq": 1.2,
"hsi_ps_ttm": 1.8,
"hsi_pcf_ttm": 8.5,
"pe_percentile": 35,
"pb_percentile": 40,
"valuation_score": 65
},
"sector_valuations": [
{"sector": "银行", "pe_ttm": 6.2, "pb_mrq": 0.8, "percentile": 25, "rating": "买入"}
],
"stock_valuations": [
{"code": "00700", "name": "腾讯控股", "pe_ttm": 18.5, "pb_mrq": 3.2, "target_price": 373.0}
]
}
Notes
- Valuation Timeliness: Valuations are based on the latest financial data and may lag
- Exchange Rate Impact: Hong Kong stocks are denominated in Hong Kong dollars; exchange rate factors must be considered
- Accounting Standards: Hong Kong stocks use IFRS, which may differ from A-shares and US stocks
- Market Mechanism: Hong Kong stocks have no price limits, so valuation fluctuations may be relatively large
- Data Quality: Data quality for some small-cap stocks may be relatively poor
Changelog
v1.0.0 (2026-02-15)
- Initial Version Released
- Supports overall market valuation analysis
- Industry valuation comparison feature
- Individual stock valuation analysis
- DCF/DDM valuation models
Hong Kong Stock Valuation Analyzer - Professional Valuation Analysis Tool