Stock Comparison
Compare sentiment and blogger opinions between two stocks.
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
When the user wants to compare two stocks, follow these steps:
Get Sentiment for Both Stocks Call get_ticker_sentiment for both tickers in parallel to get sentiment data.
Search for Related Viewpoints Call search_viewpoints with each ticker to find detailed blogger opinions.
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
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
- get_ticker_sentiment(ticker1)
- get_ticker_sentiment(ticker2) → In parallel
- search_viewpoints(ticker1)
- search_viewpoints(ticker2) → In parallel
- 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