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Use when industry research and sector rotation for portfolio alpha — TAM/SAM/SOM analysis, competitive dynamics, regulatory tailwinds, and sector timing to beat the market by 5-15% annually.
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npx skills add https://github.com/oyi77/1ai-skills --skill investment-industryコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
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Android and mobile application security testing — emulators, rooting, traffic interception, dynamic instrumentation. Use when testing mobile apps for vulnerabilities, reversing APKs, or bypassing security controls on Android.
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SOC 職業分類に基づく
SKILL.md を表示中
| name | investment-industry |
| version | 2.0.0 |
| category | financial |
| domain | financial |
| author | oyi77 |
| license | Apache-2.0 |
| subdomain | finance |
| description | Use when industry research and sector rotation for portfolio alpha — TAM/SAM/SOM analysis, competitive dynamics, regulatory tailwinds, and sector timing to beat the market by 5-15% annually. |
| keywords | ["industry","research","market analysis","sector rotation","TAM","competitive dynamics","top-down investing","macro","thematic"] |
| source | ai-berkshire |
| money | true |
| tags | ["investment","industry","finance"] |
# Refer to the skill's usage section for specific commands
# Adapt these to your workflow
Sector rotation is the single most leveragable edge for portfolio returns. Getting the sector right matters more than picking the right stock within it — sector allocation explains 70-90% of a diversified portfolio's returns.
This skill transforms industry research into actionable sector rotation trades with specific entry/exit signals, position sizing, and monitoring cadence.
ROI Track Record: Systematic sector rotation strategies outperform buy-and-hold by 5-15% annually. Top-decile industry analysts earn 25%+ annualized on concentrated sector bets.
Capital Required: $1,000 minimum (sector ETFs or individual stocks)
Time to First Trade: 3-4 hours for full industry analysis, 1 hour/month to reassess
Archetype: Top-Down Macro Investor (Medium Capital, Low Time)
| Method | Effort | Return Potential |
|---|---|---|
| Sector rotation (Sector ETFs) | 2 hr initial + 1 hr/month | 5-10% alpha over market |
| Thematic industry positions | 3 hr research/position | 3-10x on thematic winners |
| Industry research reports | 8-10 hr/week | $5K-15K/month consulting |
| Sector newsletter/substack | 5 hr/week | $2K-8K/month subscriptions |
MACRO CHECK → SECTOR CHECK → INDUSTRY CHECK → POSITION CHECK
↓ ↓ ↓ ↓
Rate cycle Relative TAM/SAM/SOM Company screen
Inflation sector perf Competitive Financial health
GDP trend Earnings Regulatory Management quality
Policy shift momentum moat/dynamics Valuation
| Regime | Outperform | Underperform |
|---|---|---|
| Rising rates + strong economy | Financials, Energy, Industrials | Tech (growth), Real Estate |
| Falling rates + strong economy | Tech, Consumer Discretionary | Utilities, Staples |
| Rising rates + weak economy | Healthcare, Staples | Real Estate, Consumer Disc. |
| Falling rates + weak economy (recession) | Treasuries, Gold, Staples | Cyclicals, Small-cap |
| Inflation > 4% | Energy, Materials, Commodities | Long-duration bonds, Tech |
| Inflation < 2% | Tech, Consumer Disc., REITs | Energy, Materials |
TAM (Total Addressable Market):
├── Global spending in the space
├── Gartner/IDC/Statista reports
├── Revenue of all public players combined × market share assumption
├── Growth rate: 3-year CAGR
SAM (Serviceable Addressable Market):
├── Portion of TAM your target can realistically reach
├── Geographic constraints (US-only, EU-only)
├── Regulatory constraints
├── Technology constraints
SOM (Serviceable Obtainable Market):
├── What the target company can capture in 3-5 years
├── Current market share × realistic growth
├── Sales capacity check
├── Competitive response analysis
| Factor | Weight | Score (1-10) | Weighted |
|---|---|---|---|
| TAM growth rate (>10% CAGR = 10, <0% = 0) | 15% | — | — |
| Competitive structure (monopoly/duopoly = 10) | 20% | — | — |
| Regulatory tailwind (pro-industry = 10) | 10% | — | — |
| Macro regime alignment | 15% | — | — |
| Revenue visibility (>2yr backlog = 10) | 10% | — | — |
| Pricing power trend (rising = 10) | 15% | — | — |
| Consolidation potential (fragmented = low) | 15% | — | — |
| Total | 100% | — | — |
Buy: >70 — overweight sector 1.5-2x benchmark Hold: 40-70 — market weight or slight overweight Sell/Underweight: <40 — reduce to 0-50% of benchmark
#!/usr/bin/env python3
"""Sector rotation model — allocates based on industry scores."""
import pandas as pd
# industry_scores: dict of {industry_name: score_0_100}
industry_scores = {
"semiconductors": 88,
"healthcare_equipment": 72,
"renewable_energy": 55,
"retail_banking": 42,
"commercial_real_estate": 18,
}
total_score = sum(industry_scores.values())
print("=== SECTOR ROTATION ALLOCATION ===")
for industry, score in sorted(industry_scores.items(), key=lambda x: x[1], reverse=True):
allocation = score / total_score # Relative weight
action = "OVERWEIGHT" if score >= 70 else ("MARKET WEIGHT" if score >= 40 else "UNDERWEIGHT")
print(f" {industry}: Score {score}/100 → Weight {allocation:.1%} → {action}")
1. Identify current macro regime (rising/falling rates, inflation) — 5 min
2. Check 10-year Treasury yield, Fed funds rate, CPI — 5 min
3. Map regime to sector outperformers from table above — 5 min
4. For top 2 sectors, read 1 industry report each (Morningstar/IBD) — 20 min
5. Score each industry using scoring matrix — 15 min
6. Execute: Buy sector ETF (XLF, XLI, XLK, etc.) or top 3 stocks — 10 min
→ Total: ~60 min for a complete sector rotation
| Excuse | Why It's Wrong |
|---|---|
| "I'm a stock picker, not a macro investor" | 70% of your return comes from sector. Picking stocks in the wrong sector is fighting the tape. |
| "Sector timing is impossible" | Systematic rules (rate regime → sector map) beat discretionary macro timing. Follow the rules. |
| "I need to read 100 industry reports" | One Gartner PDF + scoring matrix beats reading 100 reports. Depth over breadth. |
| "The macro is confusing right now" | When uncertain, default to healthcare + staples (defensive). Stay until the regime is clear. |
| "This doesn't work in crypto" | Sector rotation works on every asset class. Rotate between DeFi, L1, infrastructure, memecoins. |
INDUSTRY ANALYSIS RECORD:
Date: ____
Industry: ____
Macro Regime: ____
TAM: $____ | Growth: ____% CAGR
Score: ____/100
Allocation Decision: Overweight / Market Weight / Underweight
Position(s): ____
Entry Date: ____
Exit Date: ____
Return vs Benchmark: ____%
☐ Macro regime identified (rate direction + inflation trend)
☐ Sector-to-regime map consulted
☐ TAM/SAM/SOM calculated for selected industry
☐ Industry scoring matrix completed (7 factors)
☐ At least 1 position in overweight sector
☐ Underweight positions reduced to <50% of benchmark
☐ Monthly reassessment calendar reminder set
Use this skill when working with investment industry.