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sentiment-shift

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Original

English
🇨🇳

Translation

Chinese

Sentiment Shift Detector

情绪转变检测器

Identify stocks where blogger sentiment has changed significantly.
识别博主情绪发生显著变化的股票。

Triggers

触发词

  • "情绪变化最大的股票"
  • "谁转向了"
  • "sentiment shift"
  • "who changed their mind"
  • "态度转变"
  • /sentiment-shift
  • "情绪变化最大的股票"
  • "谁转向了"
  • "sentiment shift"
  • "who changed their mind"
  • "态度转变"
  • /sentiment-shift

Instructions

操作说明

When the user wants to find sentiment shifts, follow these steps:
  1. Get Multi-Day Summaries Call 
    get_daily_summary
    for recent dates (today, yesterday, a few days ago) to compare sentiment over time.
  2. Identify Changed Tickers Compare the summaries to find:
    • Stocks that moved from bullish to bearish
    • Stocks that moved from bearish to bullish
    • Stocks with increased/decreased mentions
  3. Get Detailed Sentiment For tickers with notable changes, call 
    get_ticker_sentiment
    to understand who changed their view.
  4. Search for Explanations Call 
    search_viewpoints
    for changed tickers to find the reasoning behind sentiment shifts.
  5. Present Results Format the output as:
    ## 情绪转变追踪 🔄

### 转向看涨 📈

#### TICKER1
- **变化**: 看跌 → 看涨
- **时间**: X天前开始转变
- **关键转变博主**: 博主A, 博主B
- **转变原因**: [摘要为什么改变看法]
- **代表观点**: "[具体观点]" — 博主A

### 转向看跌 📉

#### TICKER2
- **变化**: 看涨 → 看跌
- **时间**: X天前开始转变
- **关键转变博主**: 博主C
- **转变原因**: [摘要为什么改变看法]
- **代表观点**: "[具体观点]" — 博主C

### 热度变化 🌡️

| 股票 | 之前提及 | 现在提及 | 变化 |
|------|----------|----------|------|
| XXX | 5 | 25 | ⬆️ +400% |
| YYY | 20 | 3 | ⬇️ -85% |

### 分析
[总结市场情绪变化的整体趋势]
当用户想要查找情绪转变时，请遵循以下步骤：
  1. 获取多日汇总数据 调用
    get_daily_summary
    获取近期日期（今日、昨日、几天前）的数据，以对比不同时间的情绪变化。
  2. 识别情绪变化的股票代码 对比汇总数据，找出：
    • 从看涨转为看跌的股票
    • 从看跌转为看涨的股票
    • 提及量增加/减少的股票
  3. 获取详细情绪数据 对于有显著变化的股票代码，调用
    get_ticker_sentiment
    以了解哪些博主改变了观点。
  4. 搜索转变原因 对情绪变化的股票代码调用
    search_viewpoints
    ，找出情绪转变背后的原因。
  5. 呈现结果 按以下格式输出结果：
    ## 情绪转变追踪 🔄

### 转向看涨 📈

#### TICKER1
- **变化**: 看跌 → 看涨
- **时间**: X天前开始转变
- **关键转变博主**: 博主A, 博主B
- **转变原因**: [摘要为什么改变看法]
- **代表观点**: "[具体观点]" — 博主A

### 转向看跌 📉

#### TICKER2
- **变化**: 看涨 → 看跌
- **时间**: X天前开始转变
- **关键转变博主**: 博主C
- **转变原因**: [摘要为什么改变看法]
- **代表观点**: "[具体观点]" — 博主C

### 热度变化 🌡️

| 股票 | 之前提及 | 现在提及 | 变化 |
|------|----------|----------|------|
| XXX | 5 | 25 | ⬆️ +400% |
| YYY | 20 | 3 | ⬇️ -85% |

### 分析
[总结市场情绪变化的整体趋势]

Tool Sequence

工具调用流程

  1. get_daily_summary(date=today)
    + 
    get_daily_summary(date=yesterday)
    + 
    get_daily_summary(date=3_days_ago)
    → Compare over time
  2. Identify tickers with changed sentiment
  3. get_ticker_sentiment(changed_ticker)
    → For each changed ticker
  4. search_viewpoints(changed_ticker)
    → Find reasoning
  5. Compile shift analysis
  1. get_daily_summary(date=today)
    + 
    get_daily_summary(date=yesterday)
    + 
    get_daily_summary(date=3_days_ago)
    → 跨时间对比
  2. 识别情绪变化的股票代码
  3. get_ticker_sentiment(changed_ticker)
    → 针对每个情绪变化的股票代码
  4. search_viewpoints(changed_ticker)
    → 查找转变原因
  5. 整理情绪转变分析报告

Notes

注意事项

  • Sentiment shifts can be leading indicators
  • A blogger changing their view is often more significant than new bloggers joining
  • Track both direction changes and intensity changes
  • Include context for why shifts happened (news, earnings, etc.)
  • 情绪转变可作为领先指标
  • 博主改变观点通常比新博主加入更有意义
  • 同时追踪情绪方向变化和强度变化
  • 需包含情绪转变的背景原因（新闻、财报等）