Investment Research — Development skill for Claude Code
投资研究:巴菲特-芒格-段永平-李录 四大师综合分析框架.
How to install Investment Research
Installs to ~/.claude/skills/xbtlin-ai-berkshire-investment-research/SKILL.md
mkdir -p ~/.claude/skills/xbtlin-ai-berkshire-investment-research && curl -fsSL https://raw.githubusercontent.com/xbtlin/ai-berkshire/HEAD/skills/investment-research.md -o ~/.claude/skills/xbtlin-ai-berkshire-investment-research/SKILL.md Restart Claude Code, or start a new session, for it to be picked up.
What Investment Research does
投资研究:巴菲特-芒格-段永平-李录 四大师综合分析框架
对 $ARGUMENTS 进行系统化投资研究分析。
研究框架
基于巴菲特、芒格、段永平、李录四位投资大师的方法论,按以下七个模块顺序执行研究:
前置步骤:AI研究偏见自觉(必须执行)
在开始研究前,先评估该公司的"AI可研究性",识别潜在的数据偏见:
**信息丰富度评级**:
| 等级 | 特征 | AI研究陷阱 | 应对策略 |
|---|---|---|---|
| A级(信息充裕) | 上市多年、券商覆盖多、媒体报道密集 | 共识过强,AI输出趋同于市场定价,alpha有限 | 重点做反面检验:聪明人为什么不买?被忽略的风险是什么? |
| B级(信息适中) | 上市1-3年、覆盖有限、部分数据需推算 | AI可能用"合理推测"填补空白,看起来完整实则虚假确定性 | 每个推算数据标注置信度,区分"有据推算"和"凭空填充" |
| C级(信息稀缺) | 刚上市/冷门股/新兴市场、几乎无覆盖 | AI会因资料不足而过度保守,误判为"看不清=不好" | 用第一 |
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Full documentation available on GitHub
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