{"skill":{"slug":"deep-stock","displayName":"deep-stock","summary":"Professional stock analysis framework — 6-step deep dive from macro to valuation, powered by Charlie V3.0 methodology.","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":0,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1778639469021,"updatedAt":1778639810168},"latestVersion":{"version":"1.0.0","createdAt":1778639469021,"changelog":"## 一套框架，穿透噪音\n> 大多数股票分析工具告诉你一只股票*过去*发生了什么。  \n> Deep Stock 告诉你它*现在*值多少钱——以及现在是不是该行动的时机。\n\n## 你用它会得到什么\n- ✅ **专业级分析**（以前得找卖方分析师才能拿到的东西）\n- ✅ **6步系统框架**（宏观→行业→公司→估值→概率→决策）\n- ✅ **贝叶斯概率更新**（不是拍脑袋猜）\n- ✅ **内置反面论证**（防止确认偏误）\n\n## 怎么用\n就一句话：\n> **\"分析 [股票名/代码]\"**\n然后 Deep Stock 自动跑完整 6 步流程：\n① 数据采集     → 股价、财报、新闻、股东数据\n② 宏观过滤     → 国际 → 国内 → 行业 → 公司（4层）\n③ 估值分析     → PE-TTM / PEG / DCF / SOTP + 可信度评级\n④ 贝叶斯更新   → 概率加权情景推演，告别主观猜测\n⑤ 反面论证     → 强制找反面证据（芒格25种误判）\n⑥ 决策矩阵     → 综合评分 → 买入/持有/减仓/观望\n\nDeep Stock 1.0.0 — initial release.\n\n- Introduces a professional 6-step stock analysis framework inspired by Charlie Munger's models.\n- Covers macro, industry, company, valuation, probability, and decision-making in a structured workflow.\n- Integrates Bayesian probability updates and built-in contradiction checking to combat bias.\n- Includes a comprehensive methodology guide (Charlie V3.0) with detailed step-by-step instructions.\n- Supports user-driven depth and data verification through interactive AI-powered analysis.\n- Provides both Chinese and English documentation for broad accessibility.","license":"MIT-0"},"metadata":null,"owner":{"handle":"vlarkspur","userId":"s173tqp217ark4jsn2bvrz11xd869z6k","displayName":"vlarkspur","image":"https://avatars.githubusercontent.com/u/264106810?v=4"},"moderation":null}