morning-briefing

name	morning-briefing
description	Generate a structured daily market briefing based on YouTuber sentiment. Use when users want a morning report or daily market overview.

Morning Briefing

Generate a structured daily market briefing based on YouTuber sentiment.

Triggers

• "今日晨报"
• "早上好"
• "morning briefing"
• "daily briefing"
• "今天市场怎么样"
• /morning-briefing

Instructions

When the user wants a morning briefing, follow these steps:

1. Get Daily Summary Call get_daily_summary for today (and yesterday for comparison).

2. Get Hot Tickers Call list_tickers to identify the most discussed stocks.

3. Get Top 5 Stock Details Call get_ticker_sentiment for the top 5 most mentioned stocks to get detailed sentiment.

4. Compile Briefing Create a structured morning report with:

   • Market mood overview
   • Top bullish picks
   • Top bearish concerns
   • Notable viewpoints
   • What to watch today

5. Present Results Format the output as:

   # 📰 每日晨报 | YYYY-MM-DD
   
   ## 市场情绪温度计 🌡️
   
   **整体情绪**: 🟢 偏多 / 🟡 中性 / 🔴 偏空
   
   - 看涨观点: XX 条
   - 看跌观点: XX 条
   - 中性观点: XX 条
   
   ---
   
   ## 今日最看涨 📈
   
   | 排名 | 股票 | 看涨博主数 | 关键理由 |
   |------|------|------------|----------|
   | 1 | NVDA | 8 | AI需求强劲 |
   | 2 | AAPL | 5 | 新品发布预期 |
   | 3 | ... | ... | ... |
   
   ## 今日最看跌 📉
   
   | 排名 | 股票 | 看跌博主数 | 主要担忧 |
   |------|------|------------|----------|
   | 1 | XXX | 4 | 估值过高 |
   | 2 | ... | ... | ... |
   
   ---
   
   ## 重点股票速览
   
   ### NVDA
   - **情绪**: 🟢 强烈看涨
   - **看涨/看跌**: 8/1
   - **热点**: AI芯片需求、数据中心增长
   - **代表观点**: "[观点]" — 博主A
   
   ### TSLA
   - **情绪**: 🟡 分歧较大
   - **看涨/看跌**: 4/3
   - **热点**: FSD进展、交付数据
   - **代表观点**: "[观点]" — 博主B
   
   [重复 Top 5]
   
   ---
   
   ## 值得关注的观点 💡
   
   1. **[博主A]**: "[独到观点摘要]"
   2. **[博主B]**: "[独到观点摘要]"
   3. **[博主C]**: "[独到观点摘要]"
   
   ---
   
   ## 今日关注 👀
   
   - [ ] NVDA: 关注AI相关消息
   - [ ] TSLA: 关注交付数据
   - [ ] 宏观: 关注Fed讲话
   
   ---
   
   *数据来源: 60+ 财经 YouTuber | 更新时间: HH:MM*
   

Tool Sequence

1. get_daily_summary(date=today) + get_daily_summary(date=yesterday) → In parallel
2. list_tickers → Get hot stocks
3. get_ticker_sentiment(top_ticker_1) + ... + get_ticker_sentiment(top_ticker_5) → Top 5 in parallel
4. Compile morning briefing

Notes

• Keep it scannable and actionable
• Highlight what changed from yesterday
• Include a mix of consensus and contrarian views
• Format for easy reading on mobile
• Add timestamps for context