FinRatioAnalysis

v0.2.4 safe
4.0
Medium Risk

Quantitative Finance Ratio Analysis with VCG (Value, Quality, Growth) Metrics and MCP Server Support

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks associated with network calls, shell execution, obfuscation, and credential harvesting. However, the metadata risk score is elevated due to the maintainer's lack of information and low repository activity, suggesting some level of uncertainty regarding its reliability.

  • Low risk in network, shell, obfuscation, and credential handling
  • Elevated metadata risk due to maintainer's lack of information and low repository activity
Per-check LLM notes
  • Network: The network call appears to be fetching financial data from FRED API, which is reasonable for a financial ratio analysis package.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's lack of information and the repository's low activity suggest potential unreliability.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • =GS10" response = requests.get(fred_url) response.raise_for_status()
✓ 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

Email domain looks legitimate: msn.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 FinRatioAnalysis 
Develop a comprehensive financial analysis tool named 'VCGAnalyzer' using the Python package 'FinRatioAnalysis'. This tool aims to assist investors in making informed decisions by providing deep insights into stock performance based on Value, Quality, and Growth metrics. Additionally, it integrates MCP server support to fetch real-time financial data.

Step-by-Step Instructions:
1. **Setup**: Begin by setting up your development environment with Python and installing the required packages, including 'FinRatioAnalysis'. Ensure you have access to a MCP server for live data updates.
2. **User Interface**: Design a user-friendly interface where users can input stock ticker symbols and select specific dates for analysis. Consider using a web framework like Flask or Django for a more interactive experience.
3. **Data Fetching**: Utilize the 'FinRatioAnalysis' package to connect to the MCP server and retrieve historical financial data for the selected stocks. Implement error handling to manage cases where data might not be available.
4. **Analysis Module**: Integrate the core functionalities of 'FinRatioAnalysis' to calculate various financial ratios such as Price-to-Earnings (P/E), Return on Equity (ROE), and Earnings Per Share (EPS). Focus on Value, Quality, and Growth metrics provided by the package.
5. **Visualization**: Display the calculated ratios and metrics through charts and graphs. Use libraries like Matplotlib or Plotly to visualize trends over time and compare different stocks.
6. **Report Generation**: Allow users to generate detailed reports summarizing the analysis. Include key findings, visualizations, and recommendations based on the data. Reports should be downloadable in PDF format.
7. **Real-Time Updates**: Implement functionality to refresh data periodically from the MCP server, ensuring users always have the latest information. Consider adding alerts for significant changes in stock performance.
8. **Security and Privacy**: Ensure all user inputs and data exchanges are securely handled. Protect user data privacy and comply with relevant regulations.

Suggested Features:
- Interactive dashboard for exploring multiple stocks simultaneously.
- Comparative analysis between selected stocks.
- Historical trend analysis with customizable date ranges.
- Customizable alert system based on predefined criteria.
- Integration with popular investment platforms for seamless data import.

Utilization of 'FinRatioAnalysis':
- Leverage the package's built-in functions to streamline the calculation of complex financial ratios.
- Use its VCG metric algorithms to provide unique insights into stock performance.
- Take advantage of MCP server support to ensure data accuracy and timeliness.
- Incorporate any additional features or enhancements offered by the package to enrich the user experience.