企业风险雷达 (Risk Radar)
Description
An enterprise risk assessment and sentiment monitoring tool for Chinese A-share
stocks. It pulls real data via akshare
from East Money and THS, computes six risk dimensions, scores them on a 0-100
scale (lower = riskier), generates traffic-light indicators, and produces a
self-contained interactive HTML dashboard with a radar chart.
Use Cases
- Quick risk scan for a single stock before making investment decisions.
- Batch screening of a watchlist to rank companies by risk score.
- Sentiment monitoring to gauge market perception of a specific company.
- Due diligence on potential suppliers, partners, or investment targets.
- Periodic monitoring via cron/CI to alert on risk changes.
How to Use
Installation
pip install -r requirements.txt
Quick start
# Scan a single stock (risk + sentiment + HTML report)
python radar.py scan --ticker 600519
# Scan without sentiment analysis
python radar.py scan --ticker 000858 --no-sentiment
# Generate report to specific path
python radar.py scan --ticker 601318 --output report.html
# Sentiment-only monitoring
python radar.py monitor --ticker 600519
# Batch scan multiple stocks
python radar.py batch --tickers 600519,000858,601318
CLI Commands
| Command | Description |
|---|---|
scan --ticker CODE |
Full risk scan + sentiment + HTML report |
scan --ticker CODE --no-sentiment |
Risk scan only, skip sentiment |
monitor --ticker CODE |
Sentiment/opinion monitoring only |
batch --tickers A,B,C |
Batch scan multiple tickers, sort by risk |
Risk Dimensions
| Dimension | Key | Scoring Logic |
|---|---|---|
| 资产负债率 (Debt Ratio) | debt_ratio |
<40% = 95pts; 40-55% = 80pts; 55-70% = 60pts; 70-85% = 30pts; >85% = 10pts |
| 现金流覆盖 (Cash Flow) | cash_flow |
Operating cash flow / current liabilities ratio |
| 股权质押 (Pledge) | pledge |
<10% = 95pts; 10-20% = 80pts; 20-40% = 60pts; 40-60% = 30pts; >60% = 10pts |
| 商誉占比 (Goodwill) | goodwill |
Goodwill / net equity ratio |
| 诉讼风险 (Litigation) | litigation |
Keyword detection from news: 90pts or 20pts |
| 盈利能力 (Profitability) | profitability |
Net margin percentage |
Traffic Light Levels
| Score Range | Level | Meaning |
|---|---|---|
| 70-100 | Green | Low risk, fundamentals solid |
| 40-69 | Yellow | Moderate risk, attention needed |
| 0-39 | Red | High risk, significant concerns |
Data Sources
All data is fetched via akshare from publicly available Chinese financial data platforms:
- Financial data: East Money (东方财富) and THS (同花顺) via
stock_financial_abstract_ths(),stock_financial_analysis_indicator() - Pledge data: East Money via
stock_em_gpzy_pledge_ratio_detail() - News/sentiment: East Money via
stock_news_em() - Company info: East Money via
stock_individual_info_em()
Output
The scan command generates a self-contained HTML file with:
- Radar chart showing all 6 risk dimensions
- Traffic light overall score indicator
- Per-dimension detail cards
- Risk warnings section
- Sentiment timeline with news headlines
- Summary statistics (positive/negative/neutral counts)
Architecture
risk-radar/
├── radar.py # Click-based CLI entry point
├── risk_radar/
│ ├── __init__.py # Package init
│ ├── scanner.py # Risk data fetching + scoring engine
│ ├── sentiment.py # News sentiment analysis
│ └── report.py # HTML dashboard generator
├── SKILL.md # This skill definition
├── README.md # Project README
└── requirements.txt # Python dependencies
Configuration
No API keys required. All data is sourced from free public APIs via akshare.
Notes
- Data is for reference only and does not constitute investment advice.
- Financial data APIs are subject to rate limiting from upstream providers.
- The first run may be slow as akshare caches some configuration.
