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llmquant-events

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LLMQuant Events

LLMQuant Events

This category routes event-driven research workflows for earnings, M&A, regulatory catalysts, and event-risk monitoring.
该模块用于路由收益、并购、监管催化剂及事件风险监控相关的事件驱动型研究工作流。

Routing Rules

路由规则

  1. Identify event type, issuer, asset, date, jurisdiction, affected instruments, and requested output.
  2. Select the closest workflow below.
  3. Open only that workflow and any referenced local resources.
  4. Use LLMQuant Data for filings, prices, options, estimates, news, corporate actions, regulatory records, prediction markets, and macro context.
  5. Report event dates, filing dates, data timestamps, source periods, stale notices, and missing inputs.
  1. 识别事件类型、发行方、资产、日期、管辖区域、受影响工具以及请求的输出内容。
  2. 选择最匹配的下方工作流。
  3. 仅打开该工作流及任何引用的本地资源。
  4. 使用LLMQuant Data获取filings、价格、期权、预估数据、新闻、公司行动、监管记录、预测市场及宏观背景信息。
  5. 报告事件日期、文件提交日期、数据时间戳、数据来源周期、过期通知及缺失的输入信息。

Workflow Index

工作流索引

User intentWorkflow
Build an earnings-event brief with setup, expectations, options, and risk cases.
workflows/earnings-event-brief.md
Track M&A, deal spread, approvals, financing, and break-risk milestones.
workflows/mna-event-tracker.md
Monitor regulatory, legal, policy, antitrust, FDA, or geopolitical event risk.
workflows/regulatory-risk-monitor.md
用户意图工作流
构建包含准备情况、预期、期权及风险场景的收益事件简报。
workflows/earnings-event-brief.md
追踪并购、交易价差、审批、融资及破裂风险里程碑。
workflows/mna-event-tracker.md
监控监管、法律、政策、反垄断、FDA或地缘政治事件风险。
workflows/regulatory-risk-monitor.md

LLMQuant Data Contract

LLMQuant 数据协议

Prefer LLMQuant Data when available. The workflows may need these data capabilities:
  • Retrieve event calendars, corporate actions, filings, news, estimates, transcripts, and issuer profiles.
  • Retrieve price history, options, implied move, event-window returns, volume, volatility, and sentiment.
  • Retrieve M&A terms, deal milestones, financing, regulatory approvals, court dates, and antitrust records when available.
  • Retrieve prediction-market odds, macro releases, policy calendars, and cross-asset context when relevant.
Fallback:
  • If event-specific data is unavailable, name the missing input and avoid event-probability or spread conclusions that depend on it.
  • Do not invent dates, deal terms, legal deadlines, or regulatory decisions.
优先使用可用的LLMQuant Data。工作流可能需要以下数据能力：
  • 获取事件日历、公司行动、filings、新闻、预估数据、会议纪要及发行方资料。
  • 获取价格历史、期权、隐含波动、事件窗口收益、成交量、波动率及情绪数据。
  • 获取并购条款、交易里程碑、融资、监管审批、庭审日期及反垄断记录（若可用）。
  • 获取预测市场赔率、宏观数据发布、政策日历及跨资产背景信息（若相关）。
Fallback方案：
  • 若特定事件数据不可用，说明缺失的输入信息，避免依赖该数据得出事件概率或价差相关结论。
  • 不得编造日期、交易条款、法律截止日期或监管决策。