Scan Report
5 /100
a-share-trader
A股核心交易框架 - 12种选股策略的自适应量化交易系统
This is a legitimate A-share (Chinese stock market) quantitative trading framework with 12 stock-picking strategies, adaptive market engine, and risk management. No malicious behavior detected.
Safe to install
This skill is safe to use. It operates locally with mock/simulated trading data and poses no security risks.
| Resource | Declared | Inferred | Status | Evidence |
|---|---|---|---|---|
| Filesystem | NONE | WRITE | ✓ Aligned | Logging and report generation to local directory |
| Network | NONE | NONE | — | No external network connections found |
| Shell | NONE | NONE | — | No shell execution detected |
| Environment | NONE | READ | ✓ Aligned | Standard Python imports, no sensitive env access |
| Database | NONE | NONE | — | save_to_db config present but not implemented |
File Tree
24 files · 285.5 KB · 7649 lines Python 22f · 7368L
Markdown 2f · 281L
├─
▾
core
│ ├─
a_share_trader.py
Python
│ ├─
adaptive_engine.py
Python
│ ├─
data_interface.py
Python
│ └─
real_data_interface.py
Python
├─
▾
strategies
│ ├─
__init__.py
Python
│ ├─
base_strategy.py
Python
│ ├─
chip_concentration.py
Python
│ ├─
defensive.py
Python
│ ├─
fundamental.py
Python
│ ├─
oversold_rebound.py
Python
│ ├─
quality_small_cap.py
Python
│ ├─
resonance.py
Python
│ ├─
revenue_profit.py
Python
│ ├─
small_cap_growth.py
Python
│ ├─
small_cap.py
Python
│ ├─
social_security.py
Python
│ └─
swing_trading.py
Python
├─
quick_start_optimized.py
Python
├─
quick_start.py
Python
├─
README.md
Markdown
├─
SKILL.md
Markdown
├─
strategy_optimizer.py
Python
├─
test_simple.py
Python
└─
test_strategies_detailed.py
Python
Security Positives
✓ No shell execution (subprocess, os.system, eval, exec)
✓ No credential harvesting (no ~/.ssh, .env, API key access)
✓ No data exfiltration (no external network connections)
✓ No code obfuscation (no base64, encoded strings)
✓ No reverse shell patterns
✓ No malicious downloads (no curl|bash, wget|sh)
✓ Local-only file operations (logging, JSON reports)
✓ Uses mock/simulated data interface by default
✓ Dynamic strategy loading is appropriate for plugin architecture
✓ Clean codebase with proper error handling