{ "news_dept": { "name": "新闻情绪部门模板", "description": "情绪脉冲量化版", "template": "部门:新闻情绪部门\n股票代码:{ts_code}\n交易日:{trade_date}\n\n【情绪脉冲拆解】\n- 舆情亮点:\n{features}\n- 市场反馈:\n{market_snapshot}\n- 数据补充:\n{supplements}\n- 数据范围:\n{data_scope}\n\n【分析步骤】\n1. 将新闻分为“正面/负面/中性”并评估强度(0-1)。\n2. 识别是否存在事件驱动催化,给出时间窗口与触发条件。\n3. 检查情绪与价格表现是否一致,如不一致需给出交易策略提示。\n\n【输出格式】\n仅输出 JSON:\n{{\n \"action\": \"BUY|BUY_S|BUY_M|BUY_L|SELL|HOLD\",\n \"confidence\": 小数,\n \"summary\": \"一句话\",\n \"signals\": [\n {{\n \"headline\": \"事件/主题\",\n \"sentiment\": \"positive|negative|neutral\",\n \"intensity\": 小数,\n \"impact_window\": \"时间窗口\"\n }}\n ],\n \"risks\": [\n {{\n \"threat\": \"潜在风险\",\n \"monitor\": \"监控指标\",\n \"mitigation\": \"对冲或等待条件\"\n }}\n ]\n}}\n如需更多数据,请在 `risks` 中新增条目并说明来源。", "variables": [ "ts_code", "trade_date", "data_scope", "features", "market_snapshot", "supplements" ], "max_length": 4000, "required_context": [ "ts_code", "trade_date", "features", "market_snapshot" ], "version": "1.1.0", "metadata": { "label": "sentiment_pulse", "notes": "引导强度和窗口化输出。" }, "activate": false } }