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name: stock-valuation description: FenokValue v9.5.3 - Documentation quality fixes. Hierarchical levels (STANDARD, FULL, DEEP). 3 adapters. All orchestrator mode. DCF/Reverse/Stress/Quality/Masters integration.

FenokValue Skill Guide (v9.5.3)

• 엔진: yfinance + Global Scouter + Damodaran 4-JSON + ValuationOrchestrator
• 핵심 기능: TWO_STAGE DCF, Reverse/Stress, Reason Codes(134개), 8 L1 Pillars, Masters Panel (4 modes), Hierarchical Level System
• 버전: 9.5.3 (2026-01-24) · Author: El Fenomeno

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🔴 CRITICAL: Quick Start First

MANDATORY: Before any analysis task, complete these steps:

1. Read Reference: Review CLAUDE.md for detailed agent reference
2. Install Dependencies: pip install -r requirements.txt
3. Verify Installation: python -c "import yfinance, pandas, numpy; print('OK')"
4. Test Run: python fenok_value.py report NVDA --format md

⚠️ DO NOT skip these steps. Data fetching requires proper environment setup.

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Resources & Folder Structure

Copystock-valuation/
├── SKILL.md              # This guide (user-facing)
├── CLAUDE.md             # Agent reference (detailed)
├── PROMPT_GUIDE.md       # Prompt examples
├── scripts/
│   ├── fenok_value.py    # CLI entry point (22 subcommands)
│   ├── report_generator.py   # v9.1.0 UnifiedReportGenerator
│   ├── masters_panel.py  # 13 investors, 4 modes
│   ├── valuation_engine.py   # DCF/Reverse/Stress
│   ├── quality_score.py  # Lynch/Piotroski/Altman
│   ├── core/             # 50+ core modules
│   │   ├── valuation_orchestrator.py   # Main orchestrator
│   │   ├── valuation_router.py         # Stock type routing
│   │   ├── stock_data_fetcher.py       # Data fetching
│   │   └── wacc_calculator.py          # WACC engine
│   ├── adapters/         # Data adapters
│   ├── providers/        # DataPack, SEC13F providers
│   └── tests/            # (dev only, excluded from ZIP)
├── masters/              # 13 investor profiles (JSON)
└── references/           # Technical specifications

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Dependencies

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1. Installation

Copycd scripts
pip install -r requirements.txt
python -c "import yfinance, pandas, numpy; print('OK')"

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2. 핵심 명령어

Report Levels (v9.5.0 Hierarchy)

Hierarchy: STANDARD (14) ⊂ FULL (20) ⊂ DEEP (22) | QUICK (5) = standalone

🔥 Breaking Change v9.5.0: 계층 구조 재설계

• STANDARD: subprocess → orchestrator 모드 변경
• Analyzer Names: dcf → conviction_score, relative → relative_valuation, etc.
• New Adapters: altman_z, lynch_classifier, relative_valuation (3개 신규)
• Hierarchy Enforced: validate_hierarchy() 런타임 검증

⚠️ Deprecated: full 및 analyze 명령은 deprecated 됨.

• full → report --level standard 사용
• analyze → report --level full 사용

CLI 옵션:

• --level: 분석 깊이 (quick/standard/full/deep) - v9.3.0 신규
• --view: 출력 레벨 (summary/full/debug)
• --mode: 분석 유형 (dcf/reverse/stress/full/debate)
• --format: 출력 형식 (text/md/json/html)
• --compare: 비교 모드 활성화
• --no-masters: Masters Panel 제외 (report 명령)
• --no-risk: Risk Radar 제외 (report 명령)

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3. v9.5.0 Migration Guide

Breaking Change: Hierarchy Restructure

What Changed:

Copy# Before v9.5.0 (subprocess mode for STANDARD)
STANDARD_ANALYZERS = {fetch, dcf, relative, scenario, risk, ...}  # subprocess names
FULL_ANALYZERS = {conviction_score, reverse_dcf, ...}  # orchestrator names
# STANDARD ⊄ FULL (different naming, different mode)

# After v9.5.0 (all orchestrator mode)
STANDARD_ANALYZERS = {conviction_score, reverse_dcf, relative_valuation, ...}  # 14 analyzers
FULL_ANALYZERS = STANDARD_ANALYZERS | {monte_carlo, sp500_context, ...}  # 20 analyzers
DEEP_ANALYZERS = FULL_ANALYZERS | {masters_panel, masters_all_modes}  # 22 analyzers
# STANDARD ⊂ FULL ⊂ DEEP (strict superset hierarchy)

Why the Change?

• 계층 무결성: STANDARD가 FULL의 부분집합이 아니었음 → 수정됨
• 일관성: 모든 레벨이 orchestrator 사용 → parallel 실행 이점
• 확장성: 새 분석기(altman_z, lynch_classifier, relative_valuation) 추가 용이

Deprecated Analyzer Names (v9.5.0)

Migration Paths

New Analyzers (v9.5.0)

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4. 워크플로우 예시

단일 종목 기본 분석

Copypython fenok_value.py analyze NVDA --format md

또는 단계별:

Copypython fetch_data.py NVDA --wacc-breakdown --estimates
python valuation_engine.py NVDA --mode full
python quality_score.py NVDA --mode full

비교 분석

Copypython valuation_engine.py NVDA AMD --mode full --compare
python quality_score.py NVDA AMD --compare

적자 성장주

Copypython ev_sales.py SNOW --debug
python rule_of_40.py SNOW --view summary

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4. 데이터 소스 (v9.0.0 Policy)

v9.0.0 핵심: DataPack → yfinance → Damodaran 우선순위. Evidence 추적.

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5. 성능 최적화 (v9.2.0)

병렬 처리 설정

벤치마크 결과 (v9.2.0)

벤치마크 스크립트: scripts/benchmark_parallel.py (실행: python benchmark_parallel.py --ticker NVDA)

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6. 테스트 (개발 환경 전용)

Note: 테스트는 개발 환경 전용입니다. ZIP 배포본에는 포함되지 않습니다.

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7. 버전 히스토리

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Last Updated: 2026-01-24