Stock Comparison

Triggers

• "对比 NVDA 和 AMD"
• "比较这两只股票"
• "compare NVDA vs AMD"
• "NVDA 和 AMD 哪个好"

• /compare NVDA AMD

• /compare {ticker1} {ticker2}

Arguments

• ticker1

  - First stock ticker (required)

• ticker2

  - Second stock ticker (required)

Instructions

1. Get Sentiment for Both Stocks Call

   get_ticker_sentiment

   for both tickers in parallel to get sentiment data.
2. Search for Related Viewpoints Call

   search_viewpoints

   with each ticker to find detailed blogger opinions.
3. Analyze and Compare Create a side-by-side comparison covering:
   • Overall sentiment score
   • Number of bullish vs bearish bloggers
   • Key arguments for each side
   • Common themes in viewpoints
4. Present Results Format the output as:

   ## 股票对比: TICKER1 vs TICKER2
   
   | 指标 | TICKER1 | TICKER2 |
   |------|---------|---------|
   | 整体情绪 | 🟢 看涨 | 🟡 中性 |
   | 看涨博主 | X 位 | Y 位 |
   | 看跌博主 | X 位 | Y 位 |
   | 提及次数 | XX | YY |
   
   ### TICKER1 关键观点
   **看涨理由:**
   - [观点1] — 博主A
   - [观点2] — 博主B
   
   **风险提示:**
   - [风险1] — 博主C
   
   ### TICKER2 关键观点
   **看涨理由:**
   - [观点1] — 博主D
   
   **风险提示:**
   - [风险1] — 博主E
   
   ### 综合分析
   [基于数据的客观分析，指出两者的优劣势]

Tool Sequence

1. get_ticker_sentiment(ticker1)

   +

   get_ticker_sentiment(ticker2)

   → In parallel

2. search_viewpoints(ticker1)

   +

   search_viewpoints(ticker2)

   → In parallel
3. Compile comparison table and analysis

Notes

• Always present data objectively, let users make their own decisions
• Highlight where bloggers disagree
• If one ticker has significantly more coverage, note this caveat
• Do NOT give buy/sell recommendations