A professional Hong Kong stock liquidity risk monitoring tool that provides market liquidity analysis, individual stock liquidity risk assessment, and trade execution recommendations.
Core Features
💧 Market Liquidity Monitoring
- Overall market liquidity indicators
- Market depth analysis
- Liquidity trend monitoring
- Liquidity risk assessment
📊 Individual Stock Liquidity Analysis
- Individual stock liquidity score
- Bid-ask spread analysis
- Volume analysis
- Position concentration risk
⚠️ Liquidity Risk Warning
- Liquidity risk level
- Abnormal liquidity changes
- Liquidity crisis warning
- Risk mitigation recommendations
🎯 Trade Execution Recommendations
- Optimal execution strategy
- Trading timing selection
- Position size recommendations
- Transaction cost estimation
Use Cases
Risk Management
- Monitor market liquidity risk
- Identify liquidity crises
- Assess trade execution risk
- Formulate risk control measures
Trade Execution
- Optimize trade execution strategies
- Reduce market impact costs
- Choose the best trading timing
- Estimate transaction costs
Investment Decisions
- Assess the liquidity of investment targets
- Formulate position sizing strategies
- Assess exit feasibility
- Optimize investment portfolios
Output Content
💧 Market Liquidity Overview
港股市场流动性状况 (2026-02-15):
市场总成交额: 1,200亿港元
平均买卖价差: 0.15%
市场深度: 8,500万股
流动性评分: 72/100 (良好)
流动性趋势: 稳定
风险等级: 低
📊 Top 10 Individual Stocks by Liquidity
高流动性个股:
1. 腾讯控股(00700): 流动性评分 95/100
2. 阿里巴巴(09988): 流动性评分 92/100
3. 美团(03690): 流动性评分 88/100
4. 友邦保险(01299): 流动性评分 85/100
5. 汇丰控股(00005): 流动性评分 83/100
⚠️ Liquidity Risk Warning
低流动性风险个股:
1. 某小盘股: 流动性评分 25/100 (高风险)
2. 某创业板: 流动性评分 30/100 (高风险)
3. 某新股: 流动性评分 35/100 (中风险)
建议: 避免大额交易，分批执行
🎯 Trade Execution Recommendations
腾讯控股(00700) 交易建议:
建议执行方式: VWAP算法交易
建议交易时间: 14:30-15:30
最大单笔规模: 500万股
预期市场冲击: 0.05%
预期总成本: 0.20%
Liquidity Indicators
Market Liquidity Indicators
- Total Turnover: Total market turnover amount
- Average Spread: Average bid-ask spread ratio
- Market Depth: Bid-ask order book depth
- Turnover Rate: Market turnover rate
- Liquidity Score: Composite liquidity score
Individual Stock Liquidity Indicators
- Individual Stock Turnover: Individual stock turnover amount
- Individual Stock Spread: Individual stock bid-ask spread
- Volume: Number of shares traded
- Turnover Rate: Individual stock turnover rate
- Position Concentration: Shareholding ratio of major shareholders
Risk Indicators
- Liquidity Risk: Liquidity risk level
- Market Impact: Impact of trades on prices
- Execution Risk: Trade execution risk
- Exit Risk: Risk of exiting an investment
Risk Level
Risk Classification
- High Risk: Liquidity score < 30
- Medium Risk: Liquidity score 30-60
- Low Risk: Liquidity score 60-80
- Risk-free: Liquidity score > 80
Risk characteristics
- High risk: Low trading volume, wide spread, shallow depth
- Medium risk: Moderate trading volume, moderate spread, average depth
- Low risk: High trading volume, narrow spread, relatively deep depth
- Risk-free: Very high trading volume, very narrow spread, very deep depth
Technical indicators
Liquidity indicators
- Amihud illiquidity:
ILLIQ = |Return| / Volume - Bid-ask spread:
Spread = (Ask - Bid) / Mid - Roll model: Estimate effective spread
- Kyle's Lambda: Price impact coefficient
Market depth indicators
- Order book slope: Order book price elasticity
- Market depth: Total bid-ask depth
- Concentration: Proportion of large orders
- Imbalance: Degree of bid-ask imbalance
Execution quality indicators
- Execution shortfall: Difference between execution price and benchmark
- Market impact: Impact of trades on prices
- Timing cost: Opportunity cost of waiting to trade
- Total cost: Total execution cost
Data sources
Main data sources
- HKEX: Real-time market data
- Major brokers: Liquidity research reports
- Data vendors: High-frequency data services
- Academic research: Liquidity model research
Data update frequency
- Real-time data: Updated in real time during trading hours
- Minute data: Updated every minute
- Daily data: Updated after daily close
- Historical data: More than 5 years of historical data
Usage
Basic query
# 获取市场流动性
python scripts/liquidity_risk.py --market
# 获取个股流动性
python scripts/liquidity_risk.py --stock 00700
# 获取流动性排名
python scripts/liquidity_risk.py --ranking
# 获取风险预警
python scripts/liquidity_risk.py --warning
Advanced analysis
# 流动性历史分析
python scripts/liquidity_risk.py --history 00700 --period 30
# 市场冲击分析
python scripts/liquidity_risk.py --impact 00700 --size 1000000
# 执行策略建议
python scripts/liquidity_risk.py --execution 00700 --amount 50000000
# 流动性压力测试
python scripts/liquidity_risk.py --stress 00700
Configuration options
Risk level
# 高风险过滤
python scripts/liquidity_risk.py --risk high
# 中风险过滤
python scripts/liquidity_risk.py --risk medium
# 低风险过滤
python scripts/liquidity_risk.py --risk low
Display options
# 简洁模式
python scripts/liquidity_risk.py --simple
# 详细模式
python scripts/liquidity_risk.py --detailed
# 排序选项
python scripts/liquidity_risk.py --sort by_liquidity
Output format
Table format
┌─────────────┬──────────┬─────────┬──────────┬──────────┐
│ 股票代码 │ 股票名称 │ 流动性 │ 风险等级 │ 建议 │
├─────────────┼──────────┼─────────┼──────────┼──────────┤
│ 00700 │ 腾讯控股 │ 95/100 │ 无风险 │ 正常交易 │
│ 09988 │ 阿里巴巴 │ 92/100 │ 无风险 │ 正常交易 │
│ 03690 │ 美团 │ 88/100 │ 低风险 │ 正常交易 │
│ 01299 │ 友邦保险 │ 85/100 │ 低风险 │ 正常交易 │
│ 00005 │ 汇丰控股 │ 83/100 │ 低风险 │ 正常交易 │
└─────────────┴──────────┴─────────┴──────────┴──────────┘
JSON format
{
"date": "2026-02-15",
"market_liquidity": {
"total_volume": 120000000000,
"avg_spread": 0.0015,
"market_depth": 85000000,
"liquidity_score": 72,
"risk_level": "低"
},
"stock_liquidity": [
{"code": "00700", "name": "腾讯控股", "score": 95, "risk_level": "无风险", "recommendation": "正常交易"}
],
"warnings": [
{"code": "XXXXX", "name": "某小盘股", "score": 25, "risk_level": "高风险", "action": "避免大额交易"}
]
}
Notes
- Data delay: Liquidity data may have a slight delay
- Market mechanism: Hong Kong stocks have no price limits, so liquidity risk may be amplified
- Trading hours: Liquidity may be poor at market open and close
- Individual stock differences: Liquidity differs greatly between large-cap and small-cap stocks
- Market sentiment: Liquidity may drop sharply during market panic
Changelog
v1.0.0 (2026-02-15)
- Initial version release
- Support market liquidity monitoring
- Individual stock liquidity analysis
- Liquidity risk alerts
- Trading execution recommendations
Hong Kong Stock Liquidity Risk Monitor - Professional liquidity risk management tool