llm-quant/app/data/prompt_templates/news_dept@1.0.0.json
2025-10-06 15:43:20 +08:00

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{
"news_dept": {
"name": "新闻情绪部门模板",
"description": "针对舆情热度与事件影响的提示词",
"template": "\n部门新闻情绪部门\n股票代码{ts_code}\n交易日{trade_date}\n\n【角色定位】\n- 监控舆情热度、事件驱动与短期情绪。\n- 评估新闻对价格波动的正负面影响。\n\n【研究重点】\n1. 新闻情绪是否集中且持续?\n2. 主题与行情是否匹配?\n3. 情绪驱动的风险敞口。\n\n【数据边界】\n- 可用字段:\n{data_scope}\n- 舆情特征:\n{features}\n- 市场背景:\n{market_snapshot}\n- 追加数据:\n{supplements}\n\n请遵循【部门基础模板】的分析步骤突出情绪驱动的力度与时效性。\n",
"variables": [
"ts_code",
"trade_date",
"data_scope",
"features",
"market_snapshot",
"supplements"
],
"required_context": [
"ts_code",
"trade_date",
"features",
"market_snapshot"
],
"metadata": {
"category": "department",
"preset": "news"
},
"version": "1.0.0",
"activate": true
}
}