Li US Stock Analysis

Problem

US stock queries often mix different data needs: live quotes, K-line or intraday charts, financial statements, analyst ratings, money flow, and index or sector data. If handled manually, it is easy to make small mistakes in ticker casing, market identifiers, or company-name-to-ticker mapping. This skill turns the user's intent into a more stable query path and reduces back-and-forth clarification.

How It Works

• Intent routing: routes live price, K-line/intraday, fundamentals, ratings, capital flows, broad market/sector, and composite analysis to the matching query.
• Ticker handling: maps company names to uppercase tickers such as AAPL, TSLA, and NVDA; uses US or us as the market identifier.
• Data source priority: prefers westock-data for richer US stock data, then falls back to stock-data when unavailable.
• Output standards: market analysis includes price, change, volume, and comparison with historical averages; financial analysis focuses on revenue growth, margins, PE/PS, and free cash flow; the final conclusion combines fundamentals, technicals, and market sentiment.

Boundaries

It is useful for structured US stock analysis, not for real-time trading decisions or guaranteed data availability. If both westock-data and stock-data are unavailable, the degraded result should be stated clearly. For financials, ratings, and money flow, keep data timestamps and source fields visible so inferences are not mistaken for facts.