28 lines
1.6 KiB
JSON
28 lines
1.6 KiB
JSON
{
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"news_dept": {
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"name": "新闻情绪部门模板",
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"description": "情绪脉冲量化版",
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"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。",
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"variables": [
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"ts_code",
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"trade_date",
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"data_scope",
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"features",
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"market_snapshot",
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"supplements"
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],
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"max_length": 4000,
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"required_context": [
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"ts_code",
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"trade_date",
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"features",
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"market_snapshot"
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],
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"version": "1.1.0",
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"metadata": {
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"label": "sentiment_pulse",
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"notes": "引导强度和窗口化输出。"
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},
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"activate": false
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}
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} |