Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch. Use before a company reports quarterly earnings to prepare positioning notes, set up bull/bear scenarios, and identify what will move the stock. Triggers on "earnings preview", "what to watch for [company] earnings", "pre-earnings", "earnings setup", or "preview Q[X] for [company]".
复制安装指令,让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "earnings-preview" 技能: 1. 下载 https://raw.githubusercontent.com/anthropics/financial-services/main/plugins/agent-plugins/earnings-reviewer/skills/earnings-preview/SKILL.md 2. 保存为 ~/.claude/skills/earnings-preview/SKILL.md 3. 装好后重载技能,告诉我可以用了
Build a "what to watch" framework specific to the company:
Financial Metrics:
Operational Metrics (sector-specific):
Build 3 scenarios with stock price implications:
| Scenario | Revenue | EPS | Key Driver | Stock Reaction |
|---|---|---|---|---|
| Bull | ||||
| Base | ||||
| Bear |
For each scenario:
Identify the 3-5 things that will determine the stock's reaction:
One-page earnings preview with:
快速筛选CIM、teaser等来件并生成一页筛选备忘录
结合远期曲线、波动率和历史数据评估外汇套息交易机会
分析投后公司月报/季报,生成偏差分析与董事会材料
用于搭建并购交易增厚摊薄模型,评估EPS影响、协同效应与交易结构敏感性
快速搭建PE交易IRR/MOIC敏感性测算表
帮你发现目标公司、核查历史关系并起草创始人外联邮件。