aimoon

v0.2.2 suspicious
7.0
High Risk

A股量化筛选与交易建议系统 — ML集成排名 + Alpha Zoo 452因子 + 统一回测评分 + 交易策略引擎

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential misuse due to the use of os.system() for command execution, which can be exploited for malicious activities. While the network calls seem benign, the unusual User-Agent setting raises additional suspicion.

  • High risk associated with the use of os.system() indicating potential for arbitrary command execution.
  • Unusual User-Agent setting in network calls may indicate an attempt to mimic web browser behavior.
Per-check LLM notes
  • Network: The network calls appear to be standard HTTP GET requests, possibly for fetching external resources. However, the User-Agent being set to 'Mozilla/5.0' is unusual and might indicate an attempt to mimic web browser behavior.
  • Shell: The use of os.system('') is highly suspicious and suggests potential execution of arbitrary commands, which could be used for malicious purposes such as creating backdoors or executing shell commands.
  • Metadata: Low activity and lack of classifiers suggest low effort, but not necessarily malicious intent.

📦 Package Quality Overall: Low (4.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (17283 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 219 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 34 commits in iloat20/aimoon
  • Single author but highly active (34 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • } r = requests.get(url, params=params, timeout=15, headers={"User-Agent": "Mozi
  • try: r = requests.get(url, params=params, timeout=15, headers={"User-Agent": "Mozi
  • ,qfq"} try: r = requests.get(url, params=params, headers={"User-Agent": "Mozilla/5.0"}, t
  • try: r = requests.get(url, params=params, headers=_DEFAULT_HEADERS, timeout=timeou
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • THONIOENCODING", "utf-8") os.system("") from aimoon.config import load_config from aimoon.data
  • HONIOENCODING", "utf-8") os.system("") # 激活 VT100 控制序列（ANSI 颜色/Unicode 框线） try:
  • THONIOENCODING", "utf-8") os.system("") from aimoon.paper_trading import PaperTradingEngine d
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository iloat20/aimoon appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "iloat" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aimoon 
构建一个名为“智能选股助手”的小型应用程序，该应用利用Python的'aimoon'库来为用户推荐A股市场上的潜在投资股票。此应用将整合机器学习模型进行量化筛选，并提供基于Alpha Zoo 452因子的交易建议。此外，应用还将包括一个回测评分系统，用于评估不同交易策略的表现。请逐步解释应用程序的功能，列出一些建议功能，并说明如何使用'aimoon'库。具体步骤如下：

1. 用户界面设计：开发一个简洁直观的网页或桌面界面，允许用户输入参数（如时间范围、市值要求等）以过滤和选择他们感兴趣的股票。

2. 数据获取：使用'aimoon'库提供的API，从A股市场获取最新的股票数据，包括但不限于价格走势、财务指标等。

3. 量化筛选：根据用户设定的条件，结合ML集成排名算法对股票进行筛选，识别出具有潜力的投资标的。

4. 因子分析：应用Alpha Zoo 452因子模型，进一步分析每个潜在投资标的，提供详尽的因子得分报告。

5. 回测与评分：利用'aimoon'库中的统一回测评分系统，模拟不同的交易策略，并给出相应的评分，帮助用户了解不同策略的风险收益比。

6. 交易建议：基于上述分析结果，生成个性化的交易建议，指导用户做出更明智的投资决策。

7. 实时监控：实现一个简单的实时监控功能，让用户可以跟踪其关注股票的表现。

8. 报告导出：提供将分析结果导出为PDF或其他格式的选项，便于用户分享或存档。

通过这些步骤，您将创建一个全面且实用的工具，旨在帮助投资者在A股市场上发现价值并优化他们的投资组合。