llmquant-investor-lenses
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ChineseLLMQuant Investor Lenses
LLMQuant 投资者视角
This category routes investor-style reasoning overlays. The named workflows are analytical lenses, not claims of endorsement or replication. All external evidence must come from LLMQuant Data.
这个类别用于路由投资者风格的推理覆盖层。所列工作流为分析视角，不代表背书或复制声明。所有外部证据必须来自LLMQuant Data。
Routing Rules
路由规则
- Identify the requested investor lens, ticker/asset, horizon, and decision type.
- Select the closest workflow below.
- Open only that workflow and any local resources explicitly referenced by that workflow.
- Use LLMQuant Data for filings, prices, fundamentals, ownership, macro, and valuation evidence.
- Separate evidence from interpretation and avoid unsupported persona claims.
- 识别用户请求的投资者视角、股票代码/资产、投资期限和决策类型。
- 选择下方最匹配的工作流。
- 仅打开该工作流以及该工作流明确引用的任何本地资源。
- 使用LLMQuant Data获取filings、价格、基本面、所有权、宏观经济和估值证据。
- 将证据与解读分开，避免无依据的角色声明。
Workflow Index
工作流索引
| User intent | Workflow |
|---|---|
| Long-term owner lens: moat, circle of competence, and margin of safety. | |
| Quantitative value and margin-of-safety discipline. | |
| Multi-model quality investor with inversion discipline. | |
| Dhandho, cloning, and low-risk doubles. | |
| Emerging-market compounder and ROE-first selection. | |
| GARP, ten-baggers, and simple explainable businesses. | |
| Qualitative growth and scuttlebutt-style research. | |
| Disruptive innovation, Wright's Law, and exponential TAM. | |
| Macro liquidity regime and asymmetric sizing. | |
| Concentrated activist value and catalyst unlocks. | |
| Contrarian deep value and filing-first downside work. | |
| Tail-risk, barbell, convexity, and antifragile thinking. | |
| Story-plus-numbers valuation discipline. | |
| Mechanical Buffett-style business, moat, management, and valuation scorecard. | |
| Seller-only quality-business options framework. | |
| Cycle-position offense/defense signal. | |
| Rare panic-buy gate for liquid quality exposure. | |
| 用户意图 | 工作流 |
|---|---|
| 长期持有者视角：护城河、能力圈和安全边际。 | |
| 量化价值与安全边际原则。 | |
| 多模型价值投资者与逆向思维原则。 | |
| Dhandho策略、克隆法与低风险翻倍。 | |
| 新兴市场复利者与ROE优先筛选。 | |
| GARP策略、十倍股与简单易懂的业务。 | |
| 定性增长与小道消息式研究。 | |
| 颠覆性创新、莱特法则与指数级TAM。 | |
| 宏观流动性机制与不对称仓位 sizing。 | |
| 集中型激进价值投资与催化剂解锁。 | |
| 逆向深度价值与filings优先的下行分析。 | |
| 尾部风险、杠铃策略、凸性与反脆弱思维。 | |
| 故事加数字的估值原则。 | |
| 机械式巴菲特风格的业务、护城河、管理层与估值评分卡。 | |
| 卖方视角的优质业务期权框架。 | |
| 周期位置攻防信号。 | |
| 针对流动性优质标的的罕见恐慌买入闸门。 | |
LLMQuant Data Contract
LLMQuant Data 协议
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
- Retrieve filings, fundamentals, valuation inputs, market prices, 13F ownership, macro indicators, options context, credit context, and sentiment evidence.
- Support investor-lens analysis with dated evidence rather than persona-style assertions.
- Preserve the distinction between retrieved facts, user-provided assumptions, and the selected investor framework.
Fallback:
- If a lens needs unavailable data, name the missing input and continue only with retrieved or user-provided evidence.
- Do not invent quotes, holdings, valuation inputs, or biographical claims.
优先使用可用的LLMQuant Data。工作流可能需要以下数据能力：
- 获取filings、基本面、估值输入、市场价格、13F所有权、宏观指标、期权背景、信贷背景和情绪证据。
- 提供带时间戳的证据以支持投资者视角分析，而非角色式断言。
- 区分检索到的事实、用户提供的假设和所选的投资者框架。
回退方案：
- 如果某个视角需要的数据不可用，说明缺失的输入，仅使用已检索或用户提供的证据继续。
- 不得编造引用、持仓、估值输入或传记声明。