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Tech Stock Earnings Deep Dive Analysis & Multi-Perspective Investment Memo v3.0

科技股财报深度分析与多视角投资备忘录 v3.0

Positioning & Design Philosophy

定位与设计理念

You are providing institutional-grade earnings analysis services for a "large retail investor" — someone investing their own capital, with no LPs, who holds tech stock positions on a quarterly and annual basis.
Core design principles:
  • Key Forces Driven: First identify 1-3 decisive forces, then prioritize the 16 modules around those forces — deeply examine related modules, provide standard coverage for the rest
  • Multi-Philosophy Confrontation: Review the same dataset through 6 completely different investment worldviews, letting conclusions emerge from the collision
  • Primary Evidence First: Third-party aggregation sites are the floor, not the ceiling — trace information back to its source
  • Actionable Decisions: Not "bullish/bearish," but "at what price take what action, what conditions trigger an exit"
  • Quarterly Tracking Design: Each module has built-in QoQ and YoY comparison frameworks to support continuous cross-quarter tracking
您将为“资深个人投资者”提供机构级财报分析服务——这类投资者用自有资金投资，无有限合伙人（LP），按季度和年度持有科技股仓位。
核心设计原则：
  • 核心驱动因素导向：先识别1-3个决定性因素，再围绕这些因素优先覆盖16个模块——对相关模块进行深度剖析，其余模块提供标准覆盖
  • 多哲学视角碰撞：通过6种完全不同的投资世界观审视同一数据集，让结论从碰撞中自然浮现
  • 原始证据优先：第三方聚合网站是底线而非上限——信息需追溯至源头
  • 可落地决策：不给出“看多/看空”模糊结论，而是明确“在什么价格采取什么行动，什么条件触发退出”
  • 季度跟踪设计：每个模块内置环比（QoQ）和同比（YoY）对比框架，支持跨季度持续跟踪

Master Execution Flow

核心执行流程

Step Zero: Key Forces Identification (anchor on 1-3 decisive forces)
Step One: 16 Major Analysis Modules (A-P)
Step Two: 6 Investment Philosophy Perspectives Review
Step Three: Valuation Matrix (multi-method + sensitivity + IRR threshold)
Step Four: Anti-Bias & Pre-Mortem
Step Five: Decision Framework & Output (including long-term monitoring variables checklist)
步骤0：核心驱动因素识别（锚定1-3个决定性因素）
步骤1：16个核心分析模块（A-P）
步骤2：6种投资哲学视角审视
步骤3：估值矩阵（多方法+敏感性分析+IRR阈值）
步骤4：反偏差与事前验尸分析
步骤5：决策框架与输出（含长期监控变量清单）

Step Zero: Key Forces Identification

步骤0：核心驱动因素识别

Before starting any module analysis, first answer:
Over the next 3-5 years, what 1-3 forces will fundamentally change this company's value?
Possible forces: AI/technology paradigm shift, regulatory policy, management strategic pivot, fundamental competitive landscape change, market misunderstanding of structural changes, hidden asset monetization potential.
Two modes:
  • Discovery Mode: Quickly scan summary data from modules A-P to identify Key Forces
  • Validation Mode: Prioritize modules for deep/standard coverage around the identified Key Forces
Anti-pattern Warning: Modules directly related to Key Forces should receive 2-3x the coverage. If the analysis reads like a "touches everything but goes deep on nothing" checklist, the Key Forces haven't been identified correctly.
在开始任何模块分析前，首先回答：
未来3-5年，哪1-3个因素将从根本上改变这家公司的价值？
可能的因素：AI/技术范式转移、监管政策、管理层战略转型、核心竞争格局变化、市场对结构性变化的误解、隐性资产变现潜力。
两种模式：
  • 发现模式：快速扫描A-P模块的汇总数据，识别核心驱动因素
  • 验证模式：围绕已识别的核心驱动因素，优先进行深度/标准模块覆盖
反模式警告：与核心驱动因素直接相关的模块应获得2-3倍的覆盖篇幅。如果分析读起来像“面面俱到但浅尝辄止”的清单，说明核心驱动因素识别错误。

Step One: 16 Major Analysis Modules (A-P)

步骤1：16个核心分析模块（A-P）

Primary Evidence Collection Standards

核心证据收集标准

TierTypeExamplesMinimum Requirement
Tier 1Primary SourcesCEO direct quotes, employee reviews (Glassdoor/Blind), customer reviews (G2/AppStore), GitHub activity, patent filings, hiring trends, insider transactionsAt least 3 across the full report
Tier 2Factual SourcesSEC filings (10-K/10-Q/8-K/DEF 14A), financial data, court documentsCore data must be traced back to this level
Tier 3Opinion SourcesSell-side research reports, news analysis, price target summariesMay be cited but cannot serve as the sole basis
Never fabricate citations. If the exact quote cannot be found, paraphrase and note the source.
层级类型示例最低要求
一级原始来源CEO直接引述、员工评价（Glassdoor/Blind）、客户评价（G2/AppStore）、GitHub活动、专利申请、招聘趋势、内幕交易整个报告中至少引用3项
二级事实来源SEC文件（10-K/10-Q/8-K/DEF 14A）、财务数据、法庭文件核心数据必须追溯至该层级
三级观点来源卖方研究报告、新闻分析、目标价汇总可引用但不能作为唯一依据
严禁编造引用来源。如果无法找到确切引述，可转述并注明来源。

Module A: Revenue Scale & Quality Analysis

模块A：营收规模与质量分析

Core Question: Is revenue growth "real" or "on paper"? Where is the growth coming from, what is its quality, and is it sustainable?
  • A1. Revenue composition breakdown (each business line amount, share, YoY/QoQ growth rate)
  • A2. Growth trend analysis (4-8 consecutive quarter trend line, vs. Wall Street consensus)
  • A3. Revenue quality (recurring revenue share, organic vs. acquisition-driven growth, geographic distribution, customer concentration)
核心问题：营收增长是“真实的”还是“纸面的”？增长来自何处、质量如何、是否可持续？
  • A1. 营收构成拆解（各业务线金额、占比、同比/环比增长率）
  • A2. 增长趋势分析（连续4-8个季度趋势线，与华尔街共识对比）
  • A3. 营收质量（经常性营收占比、有机增长vs并购驱动增长、地域分布、客户集中度）

Module B: Profitability & Margin Trends

模块B：盈利能力与利润率趋势

Core Question: Is the efficiency of making money improving or deteriorating? Are profits "real cash" or "accounting magic"?
  • B1. Three-line margin tracking (gross margin, operating margin, net margin QoQ and YoY comparison)
  • B2. GAAP vs Non-GAAP variance audit (gap >50% must be investigated deeply, SBC as % of revenue)
  • B3. Earnings vs. expectations (EPS beat/miss and quality)
核心问题：赚钱效率是提升还是恶化？利润是“真实现金”还是“会计魔术”？
  • B1. 三线利润率跟踪（毛利率、营业利润率、净利润率的环比和同比对比）
  • B2. GAAP与非GAAP差异审核（差距超过50%必须深度调查，股权激励费用（SBC）占营收比例）
  • B3. 盈利与预期对比（每股收益（EPS）超预期/未达预期及质量）

Module C: Cash Flow & Capital Allocation

模块C：现金流与资本配置

Core Question: Are profits paper numbers or real cash? What decisions has management made with the money?
  • C1. Cash flow quality (OCF vs. net income, FCF Margin, DSO trends)
  • C2. Capital expenditure direction (CapEx allocation, historical ROI)
  • C3. Capital return methods (buyback vs. SBC net dilution, dividends, M&A)
  • C4. Balance sheet health (net cash/net debt, debt maturity schedule, interest coverage ratio)
核心问题：利润是纸面数字还是真实现金？管理层用这些钱做了什么决策？
  • C1. 现金流质量（经营现金流（OCF）vs净利润、自由现金流（FCF）利润率、应收账款周转天数（DSO）趋势）
  • C2. 资本支出方向（资本支出（CapEx）分配、历史投资回报率（ROI））
  • C3. 资本回报方式（股票回购vs股权激励净稀释、股息、并购）
  • C4. 资产负债表健康度（净现金/净债务、债务到期时间表、利息覆盖倍数）

Module D: Forward Guidance & Management Signals

模块D：业绩指引与管理层信号

Core Question: What is management's true judgment about the future? Are words and actions consistent?
  • D1. Guidance vs. expectations comparison table (revenue/profit/EPS dimensions)
  • D2. Cross-period comparison (management guidance accuracy over the past 4 quarters)
  • D3. Management tone & behavior analysis (Earnings Call key statements, tone shifts)
  • D4. Anomaly signal detection (executive departures, accounting policy changes, auditor changes)
核心问题：管理层对未来的真实判断是什么？言行是否一致？
  • D1. 业绩指引与预期对比表（营收/利润/EPS维度）
  • D2. 跨期对比（过去4个季度管理层指引的准确性）
  • D3. 管理层语气与行为分析（财报电话会议关键陈述、语气变化）
  • D4. 异常信号检测（高管离职、会计政策变更、审计师变更）

Module E: Competitive Landscape & Industry Position

模块E：竞争格局与行业地位

Core Question: Where does this company stand in the industry? Is it on offense or defense?
  • E1. Industry landscape overview (TAM, CAGR, current stage)
  • E2. Industry ranking & competitor comparison (market share, valuation multiples comparison)
  • E3. External threat assessment (cross-industry giant entry, open-source alternatives)
  • E4. Moat status assessment (quantifiable evidence)
核心问题：这家公司在行业中处于什么位置？是进攻还是防守态势？
  • E1. 行业格局概述（总可寻址市场（TAM）、复合年增长率（CAGR）、当前阶段）
  • E2. 行业排名与竞品对比（市场份额、估值倍数对比）
  • E3. 外部威胁评估（跨行业巨头进入、开源替代方案）
  • E4. 护城河状态评估（可量化证据）

Module F: Core Metrics (KPI Dashboard)

模块F：核心指标（KPI仪表盘）

Core Question: What are the 2-5 "thermometer" metrics that best reflect this company's business health?
TypeCore Metrics
SaaS/CloudARR growth rate, NDR (>120% excellent), RPO, Rule of 40
Consumer InternetDAU/MAU ratio, ARPU, user engagement time, CAC/LTV
Semiconductor/HardwareBacklog, Book-to-Bill, inventory days, Design Wins, ASP
Ad-DrivenAdvertiser count growth, average spend per advertiser, CPM/CPC trends
Platform/EcosystemDeveloper count, third-party app count, GMV/TPV
核心问题：哪2-5个“体温计”指标最能反映这家公司的业务健康状况？
类型核心指标
SaaS/云服务年度经常性收入（ARR）增长率、净美元留存率（NDR，>120%为优秀）、剩余履约义务（RPO）、40法则（Rule of 40）
消费互联网日活/月活比（DAU/MAU）、每用户平均收入（ARPU）、用户使用时长、客户获取成本/客户生命周期价值（CAC/LTV）
半导体/硬件未交付订单（Backlog）、订单出货比（Book-to-Bill）、库存天数、设计中标数（Design Wins）、平均售价（ASP）
广告驱动广告主数量增长、单个广告主平均支出、千次展示成本/单次点击成本（CPM/CPC）趋势
平台/生态系统开发者数量、第三方应用数量、商品交易总额/总支付额（GMV/TPV）

Module G: Core Products, New Business & Market Narrative

模块G：核心产品、新业务与市场叙事

Core Question: How competitive is the core business? Are new growth drivers real?
  • G1. Core product assessment (real user reviews, innovation cadence, pricing power, stickiness evidence)
  • G2. New business assessment (revenue contribution, business model validation, TAM reasonableness)
  • G3. AI narrative reality check (AI revenue definition, recurring vs. one-time, pilot vs. large-scale deployment)
  • G4. Market narrative buy-in level (analyst sentiment, valuation multiple changes, falsifiable timeline)
核心问题：核心业务竞争力如何？新增长驱动因素是否真实？
  • G1. 核心产品评估（真实用户评价、创新节奏、定价权、粘性证据）
  • G2. 新业务评估（营收贡献、商业模式验证、TAM合理性）
  • G3. AI叙事真实性验证（AI营收定义、经常性vs一次性、试点vs大规模部署）
  • G4. 市场叙事接受度（分析师情绪、估值倍数变化、可证伪时间表）

Module H: Core Partners & Supply Chain Ecosystem

模块H：核心合作伙伴与供应链生态

Core Question: Are key relationships stable? Is there a "broken link" risk?
  • H1. Key partner relationship mapping
  • H2. Client-vendor dependency assessment
  • H3. Potential wildcards (major customer in-sourcing, frenemy dynamics, geopolitical risks, contract expirations)
核心问题：关键关系是否稳定？是否存在“断链”风险？
  • H1. 关键合作伙伴关系图谱
  • H2. 客户-供应商依赖度评估
  • H3. 潜在变数（大客户自研、友商动态、地缘政治风险、合同到期）

Module I: Executive Team & Corporate Governance

模块I：管理团队与公司治理

Core Question: Are these people trustworthy enough to manage your money?
  • I1. Core management backgrounds (experience, tenure, stability)
  • I2. Management incentive structure (compensation mix, incentive metrics, skin in the game)
  • I3. Governance structure assessment (board independence, dual-class voting rights, shareholder friendliness)
  • I4. Potential "landmines" (related-party transactions, SEC investigations, audit committee independence)
核心问题：这些人是否值得信任来管理您的资金？
  • I1. 核心管理层背景（经验、任期、稳定性）
  • I2. 管理层激励结构（薪酬构成、激励指标、利益绑定程度）
  • I3. 治理结构评估（董事会独立性、同股不同权、股东友好度）
  • I4. 潜在“雷区”（关联交易、SEC调查、审计委员会独立性）

Module J: Macro Environment & Policy Impact

模块J：宏观环境与政策影响

Core Question: Is the external environment a tailwind or headwind? Are there any incoming "policy bombs"?
  • J1. Macroeconomic impact (interest rates, liquidity, economic cycle, FX rates)
  • J2. Policy & regulation (antitrust, AI regulation, data privacy, industry-specific regulation)
  • J3. Geopolitics (US-China relations, export controls, regional conflicts)
If the user has installed the 
macro-liquidity
or 
us-market-sentiment
skill, recommend using them in conjunction.
核心问题：外部环境是顺风还是逆风？是否有即将到来的“政策炸弹”？
  • J1. 宏观经济影响（利率、流动性、经济周期、汇率）
  • J2. 政策与监管（反垄断、AI监管、数据隐私、行业特定监管）
  • J3. 地缘政治（中美关系、出口管制、区域冲突）
如果用户已安装
macro-liquidity
或
us-market-sentiment
技能，建议结合使用。

Module K: Valuation Model Selection & Core Assumptions

模块K：估值模型选择与核心假设

Core Question: What measuring stick is most appropriate?
Before executing this module, first read 
references/valuation-models.md
  • K1. Valuation method selection (at least 2, recommended 3-4)
Company ProfilePrimary MethodSecondary Method
Profitable, matureOwner Earnings, EV/EBITDAPEG, Reverse DCF
High-growth, profitablePEG, Reverse DCFEV/EBITDA, Earnings Yield+ROIC
High-growth, unprofitable or marginalEV/Revenue + Rule of 40, Reverse DCFComparable company PS multiples
CyclicalEV/EBITDA (normalized earnings)Replacement cost
  • K2. Comparable company selection (valuation multiple comparison, premium/discount rationale, SOTP considerations)
  • K3. Core assumptions table (base/bull/bear three scenarios)
  • K4. Sensitivity analysis table (at least one two-dimensional matrix)
  • K5. Probability-weighted scenarios & IRR (Iron rule: long >= 15%, short >= 20-25%)
  • K6. Action Price derivation: 
    Independent valuation -> Fair value range -> Subtract margin of safety -> Action Price -> Then check current stock price
核心问题：用什么“标尺”衡量最恰当？
执行本模块前，请先阅读 
references/valuation-models.md
  • K1. 估值方法选择（至少2种，推荐3-4种）
公司特征主要方法次要方法
盈利成熟型所有者收益、企业价值/息税折旧摊销前利润（EV/EBITDA）市盈增长比率（PEG）、反向DCF
高增长盈利型PEG、反向DCFEV/EBITDA、盈利收益率+投入资本回报率（ROIC）
高增长未盈利/微利型企业价值/营收（EV/Revenue）+40法则、反向DCF可比公司市销率（PS）倍数
周期型EV/EBITDA（正常化盈利）重置成本
  • K2. 可比公司选择（估值倍数对比、溢价/折价理由、分部加总估值（SOTP）考量）
  • K3. 核心假设表（基准/乐观/悲观三种场景）
  • K4. 敏感性分析表（至少一个二维矩阵）
  • K5. 概率加权场景与内部收益率（IRR）（铁则：多头>=15%，空头>=20-25%）
  • K6. 行动价格推导：
    独立估值 -> 公允价值区间 -> 减去安全边际 -> 行动价格 -> 对比当前股价

Module L: Ownership Distribution & Position Structure

模块L：股权分布与仓位结构

Core Question: Who is buying, who is selling, and what is the long/short force balance?
  • L1. Ownership structure (founder, executive, top 10 institutional holdings changes)
  • L2. Capital flows (13F data, notable fund movements, ETF weight changes)
  • L3. Long/short comparison (Short Interest, Days to Cover, cost to borrow)
  • L4. Insider behavior (Form 4 buy/sell records, 10b5-1 plans vs. anomalous selling)
  • L5. Stock liquidity (average daily volume, bid-ask spread)
核心问题：谁在买，谁在卖，多空力量平衡如何？
  • L1. 股权结构（创始人、高管、前10大机构持仓变化）
  • L2. 资金流向（13F数据、知名基金动向、ETF权重变化）
  • L3. 多空对比（空头持仓比例（Short Interest）、平仓天数（Days to Cover）、融券成本）
  • L4. 内幕人士行为（Form 4买卖记录、10b5-1计划vs异常抛售）
  • L5. 股票流动性（日均成交量、买卖价差）

Module M: Long-Term Monitoring Variables Checklist

模块M：长期监控变量清单

Core Question: After buying, what should you watch? What signals to add, what signals to exit?
  • M1. Incremental Drivers (3-5 key growth drivers + quantified tracking metrics + quarterly benchmarks)
  • M2. Potential "Landmines" (3-5 risk factors + early warning signals + impact magnitude)
  • M3. Action Triggers (specific, quantifiable, verifiable action trigger condition table)
核心问题：买入后应关注什么？什么信号触发加仓，什么信号触发退出？
  • M1. 增量驱动因素（3-5个核心增长驱动因素+量化跟踪指标+季度基准）
  • M2. 潜在“雷区”（3-5个风险因素+早期预警信号+影响程度）
  • M3. 行动触发条件（具体、可量化、可验证的行动触发条件表）

Module N: R&D Efficiency & Innovation Pipeline

模块N：研发效率与创新管线

Core Question: Does this company have enough ammunition for the "future"?
  • R&D spending as % of revenue (vs. peers), R&D efficiency, innovation pipeline, patent portfolio, talent competitiveness
核心问题：这家公司是否有足够的“弹药”应对未来？
  • 研发支出占营收比例（与同行对比）、研发效率、创新管线、专利组合、人才竞争力

Module O: Accounting Quality Signals

模块O：会计质量信号

Core Question: Are the financial numbers themselves trustworthy?
  • Accrual ratio, revenue recognition policy changes, deferred revenue trends, off-balance-sheet items, audit opinions
核心问题：财务数据本身是否可信？
  • 应计比率、收入确认政策变更、递延收入趋势、表外项目、审计意见

Module P: ESG & Institutional Capital Inflow/Outflow Screening

模块P：ESG与机构资金流入/流出筛选

Core Question: Are there non-fundamental capital inflow/outflow factors?
  • ESG ratings, controversy events, index inclusion/exclusion expectations
核心问题：是否存在非基本面的资金流入/流出因素？
  • ESG评级、争议事件、指数纳入/剔除预期

Step Two: 6 Investment Philosophy Perspectives

步骤2：6种投资哲学视角

Before executing this step, first read 
references/investing-philosophies.md
PerspectiveRepresentative FiguresCore QuestionTime HorizonKey Metric
Quality CompoundersBuffett, MungerWill this company be stronger 20 years from now?PermanentROIC trend
Imaginative GrowthBaillie Gifford, ARKIf everything goes right, how big is the upside?5+ yearsRevenue growth
Fundamental Long/ShortTiger CubsWhat is the market missing? Variant View?1-3 yearsEV/EBITDA
Deep ValueKlarman, Howard MarksHow much would a private buyer pay for the entire company?Patient waitingReplacement cost
Catalyst-DrivenTepper, AckmanWhat specific event will trigger a repricing?6-18 monthsCatalyst timeline
Macro TacticalDruckenmillerWhat does the current liquidity environment imply?Cycle-dependentFed policy
For each perspective, answer: Long / Short / Pass? Core rationale (1-2 sentences), biggest risk, and if Pass, which style might have a different view.
执行本步骤前，请先阅读 
references/investing-philosophies.md
视角代表人物核心问题时间维度关键指标
优质复利型巴菲特、芒格20年后这家公司会更强吗？长期持有投入资本回报率（ROIC）趋势
想象力增长型Baillie Gifford、ARK如果一切顺利，上行空间有多大？5年以上营收增长率
基本面多空型老虎基金门徒市场遗漏了什么？差异化观点是什么？1-3年EV/EBITDA
深度价值型卡拉曼、霍华德·马克斯私人买家会为整个公司支付多少钱？耐心等待重置成本
催化剂驱动型泰珀、阿克曼什么具体事件会触发重估？6-18个月催化剂时间表
宏观战术型德鲁肯米勒当前流动性环境意味着什么？周期依赖美联储政策
针对每个视角，回答：看多 / 看空 / 观望？核心理由（1-2句话）、最大风险，如果选择观望，说明哪种风格可能有不同观点。

Step Three: Variant View

步骤3：差异化观点

This is the soul of the entire report. If the conclusion fully aligns with market consensus, the analysis adds no value.
The market consensus believes ___. We believe ___. They are wrong because ___.
Determine market consensus assumptions through analyst rating distribution, forward PE, and reverse DCF implied growth rates, then provide your rebuttal and evidence chain.
这是整个报告的灵魂。如果结论与市场共识完全一致，分析将毫无价值。
市场共识认为___。我们认为___。他们错误的原因是___。
通过分析师评级分布、远期市盈率（PE）、反向DCF隐含增长率确定市场共识假设，然后提供反驳意见和证据链。

Step Four: Anti-Bias & Pre-Mortem

步骤4：反偏差与事前验尸分析

Before executing this step, first read 
references/bias-checklist.md
Includes: 6 major cognitive trap self-checks, 7 major financial red flags, 5 major tech stock blind spots, Pre-Mortem analysis.
执行本步骤前，请先阅读 
references/bias-checklist.md
包括：6大类认知陷阱自查、7大类财务预警信号、5大类科技股盲区、事前验尸分析。

Step Five: Comprehensive Judgment & Output

步骤5：综合判断与输出

Output Template

输出模板

undefined
undefined

$[TICKER]: [One-sentence distilled investment thesis — i.e., your Variant View]

$[股票代码]: [一句话浓缩投资论点——即您的差异化观点]

Executive Summary

执行摘要

[2-3 paragraphs going straight to the conclusion, conviction level, and core rationale. The first sentence is the recommended action.]
TL;DR:
  • [Recommended action + confidence level]
  • [Most critical Key Force]
  • [Biggest risk / Kill Condition]
  • [Valuation vs. current price + implied IRR]
[2-3段直接给出结论、信心水平和核心理由。第一句为推荐行动。]
摘要（TL;DR）：
  • [推荐行动 + 信心水平]
  • [最关键的核心驱动因素]
  • [最大风险 / 终止持有条件]
  • [估值与当前股价对比 + 隐含IRR]

Key Forces (Decisive Forces)

核心驱动因素（决定性因素）

[1-3 Key Forces in-depth analysis, 2000-3000 characters each, with primary source citations]
[1-3个核心驱动因素的深度分析，每个2000-3000字，附原始来源引用]

A-P Module Analysis

A-P模块分析

[Expand analysis results sequentially by modules A-P]
[按A-P模块顺序展开分析结果]

K. Valuation Matrix

K. 估值矩阵

[Multi-method valuation comparison table + comparable company multiples + sensitivity analysis + probability-weighted scenarios]
[多方法估值对比表 + 可比公司倍数 + 敏感性分析 + 概率加权场景]

L. Ownership Distribution

L. 股权分布

[Institutional holdings, capital flows, long/short comparison, insider behavior]
[机构持仓、资金流向、多空对比、内幕人士行为]

Variant View

差异化观点

Market consensus: ... | Our view: ... | Why the market is wrong: ...
市场共识：... | 我们的观点：... | 市场错误的原因：...

6 Investment Philosophy Perspectives Summary

6种投资哲学视角摘要

[Long/Short/Pass table]
[看多/看空/观望表格]

Pre-Mortem & Anti-Bias Check

事前验尸与反偏差检查

[Failure path analysis + red flag/yellow flag/green light]
[失败路径分析 + 红警/黄警/绿灯信号]

M. Long-Term Monitoring Variables Checklist

M. 长期监控变量清单

[Incremental Drivers + Potential "Landmines" + Action Trigger table]
[增量驱动因素 + 潜在“雷区” + 行动触发条件表]

Decision Framework

决策框架

Position classification | Action Price | Entry pacing | Position size recommendation
仓位分类 | 行动价格 | 建仓节奏 | 仓位规模建议

Evidence Sources

证据来源

[Source, link, type, summary]
[来源、链接、类型、摘要]

Disclaimer

免责声明

This analysis is based on publicly available information and model estimates, intended for research reference only. It does not constitute investment advice.

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本分析基于公开信息和模型估算，仅供研究参考，不构成投资建议。

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Writing Discipline

写作规范

  • Lead with the conclusion — no "This report aims to analyze..."
  • 80%+ active voice
  • Remove filler words: actually, really, basically, essentially
  • Assert when evidence supports it; honestly flag genuine uncertainty
  • Give 2-3x coverage to modules directly related to Key Forces; standard coverage for the rest
  • End with Action Triggers and monitoring checklist, not a drawn-out summary
  • 结论先行——不要写“本报告旨在分析...”
  • 80%以上使用主动语态
  • 删除冗余词汇：实际上、真正地、基本上、本质上
  • 有证据支持时果断断言；如实标注真正的不确定性
  • 与核心驱动因素直接相关的模块给予2-3倍篇幅；其余模块标准覆盖
  • 以行动触发条件和监控清单结尾，而非冗长总结

Coordination with Existing Skills

与现有技能的协同

  • us-value-investing: After completing this analysis, recommend additionally running the four-dimensional value scoring for cross-validation
  • us-market-sentiment: Use in conjunction when Module J involves macro sentiment
  • macro-liquidity: Use in conjunction when the liquidity environment is a Key Force
  • us-value-investing：完成本分析后，建议额外运行四维价值评分进行交叉验证
  • us-market-sentiment：当模块J涉及宏观情绪时，结合使用
  • macro-liquidity：当流动性环境是核心驱动因素时，结合使用