cn-stock-analysis

You can perform A-share stock analysis by retrieving multi-period financial data and evaluating eight core health indicators, balance-sheet risks, and valuation metrics. The process enforces saving the complete fundamental analysis as a structured Markdown report to a local file path for review.

A-share stock analysis includes eight core financial indicators: cash income ratio, ROE, per-capita metrics, asset turnover, quarterly growth, goodwill-to-equity risk, gross margin, and R&D intensity. It also performs balance-sheet risk checks to judge business quality and financial risks.

Yes, Node.js and npm are required dependencies to execute the analysis scripts for generating stock reports. Additionally, the cn-financial MCP is used as a fallback data retrieval method when prioritized sources like mx-data or mx-search are unavailable.

Yes, this analysis supports single-stock deep dives, portfolio evaluations, and batch screening of A-share stocks. It processes fundamental indicators and valuation metrics for multiple holdings, outputting structured Markdown reports for each evaluated asset.

Valuation analysis applies PE, PB, and PS ratios alongside scenario-based future estimates to assess A-share investment value. It combines these valuation models with balance-sheet depth analysis and stock price technical trends to produce a final comprehensive rating.

The system prioritizes data retrieval via mx-data and mx-search tools to fetch the mandatory multi-period financial records. If these primary sources fail, it automatically falls back to the cn-financial MCP to ensure complete data retrieval for the stock analysis.