aion-indian-market-intelligence

v1.0.6 suspicious
4.0
Medium Risk

Macro-event and sector impact intelligence for Indian financial markets. Structured analysis of how policy, economic, weather, and geopolitical events affect Indian market sectors.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some signs of potential risk, particularly due to the missing repository and the single-package maintainer profile, suggesting possible supply-chain manipulation.

  • Repository not found
  • Single-package maintainer profile
Per-check LLM notes
  • Network: The network call pattern suggests the package may be making API calls to an external service, which is common for packages providing market intelligence.
  • Shell: No shell execution patterns were detected, indicating low risk of direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository is not found, and the maintainer has only one package, which could indicate potential risk.

📦 Package Quality Overall: Low (3.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://dashboard.aiondashboard.site/models/indian-market-in
  • Detailed PyPI description (1029 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 5.0

Partial type annotation coverage

  • 4 type-annotated function signatures (partial)
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • elf.session = self.session or requests.Session() self.api_key = self.api_key or os.getenv("AION_API
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ 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 score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "AION Analytics" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aion-indian-market-intelligence 
Create a web-based dashboard application using Python and the 'aion-indian-market-intelligence' package to provide real-time insights into how macro-events and sector impacts influence the Indian financial markets. This application will serve as a tool for investors and analysts to quickly understand the current market trends and make informed decisions.

**Step 1:** Set up the development environment.
- Install Python and necessary libraries such as Flask for web framework, aion-indian-market-intelligence for market data, and any other required packages like pandas for data manipulation.

**Step 2:** Integrate the 'aion-indian-market-intelligence' package.
- Use the package to fetch structured data on policy changes, economic indicators, weather conditions, and geopolitical events affecting various sectors in India.
- Implement functions to analyze these events and their potential impacts on different market sectors.

**Step 3:** Develop the user interface.
- Design a clean and intuitive dashboard layout using HTML/CSS/JavaScript.
- Incorporate charts and graphs to visually represent the impact analysis results.

**Step 4:** Implement key features.
- **Event Impact Analysis**: Display a summary of recent macro-events along with their potential impacts on specific sectors.
- **Sector Performance Overview**: Show performance metrics for different sectors over time.
- **Real-Time Notifications**: Send alerts via email or push notifications when significant events occur.
- **Customizable Alerts**: Allow users to set up personalized alerts based on specific criteria.
- **Data Export**: Provide functionality to export analyzed data in CSV or Excel formats.

**Step 5:** Test and deploy the application.
- Conduct thorough testing to ensure all functionalities work as expected.
- Deploy the application on a cloud platform such as Heroku or AWS to make it accessible online.

💬 Discussion Feed

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