sector-analysis · git:20260619.9732239 · 2026-06-19 · sha256 b16c8e8a96649ce3
sector-analysis git:20260619.9732239B
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--- description: Analyze US market sectors and identify rotation opportunities --- # Sector Analysis ## ⚠️ Data Verification — Do This Before Any Analysis Before running any analysis, always retrieve the latest market data for the ticker: 1. **Fetch current price** — use web search or ask the user for the live price, 52-week range, and market cap. Never assume a price from training data. 2. **Confirm key figures** — recent earnings, revenue, key ratios (P/E, P/S, etc.) as applicable to this skill. 3. **State your data source** — note where the numbers came from (e.g., "Google Finance, June 19 2026") at the top of the output. 4. **Flag stale data explicitly** — if live data is unavailable, display this warning before proceeding: > ⚠️ **Live data unavailable.** The following analysis uses training-data estimates which may be significantly out of date. Verify all prices and metrics before making any decisions. Never silently substitute training-data estimates for current prices. When in doubt, ask the user to paste the latest quote. --- Analyze US market sectors and identify sector rotation opportunities based on economic cycles. ## Sector Overview Analyze the 11 S&P 500 sectors: 1. Information Technology 2. Healthcare 3. Financials 4. Consumer Discretionary 5. Communication Services 6. Industrials 7. Consumer Staples 8. Energy 9. Utilities 10. Real Estate 11. Materials ## Analysis Framework 1. **Sector Performance** - Relative performance vs. S&P 500 - Historical performance trends - Momentum and trend strength - Volatility analysis 2. **Economic Cycle Positioning** - Early cycle: Financials, Technology, Industrials - Mid cycle: Industrials, Materials, Energy - Late cycle: Energy, Consumer Staples, Healthcare - Recession: Utilities, Consumer Staples, Healthcare 3. **Fundamental Metrics** - Sector valuation (P/E, P/B vs. historical) - Earnings growth forecasts - Profit margin trends - Revenue growth outlook 4. **Macro Drivers** - Interest rate sensitivity - Commodity price exposure - Economic growth correlation - Currency impact - Regulatory environment 5. **Technical Picture** - Sector ETF chart patterns - Relative strength analysis - Support/resistance levels - Volume trends ## Sector Rotation Strategy - Identify current economic cycle phase - Determine leading and lagging sectors - Assess rotation timing signals - Evaluate defensive vs. cyclical positioning - Consider factor tilts (value, growth, quality) ## Top Holdings Analysis - Identify sector leaders and laggards - Analyze top 5-10 stocks per sector - Evaluate sector concentration risks - Find emerging opportunities ## Output Provide sector analysis with: - Current sector rankings and momentum - Economic cycle assessment - Sector rotation recommendations - Top stock picks within favored sectors - Sectors to underweight/avoid - Risk considerations by sector - Expected catalysts and timeframes - Implementation strategy (ETFs vs. individual stocks) Keep recommendations aligned with macro outlook and risk management principles. ## Standard Signal Output All analysis concludes with this standardized block: ``` ╔══════════════════════════════════════════════╗ ║ INVESTMENT SIGNAL ║ ╠══════════════════════════════════════════════╣ ║ Signal: BULLISH / NEUTRAL / BEARISH ║ ║ Confidence: HIGH / MEDIUM / LOW ║ ║ Horizon: SHORT / MEDIUM / LONG-TERM ║ ║ Score: X.X / 10 ║ ╠══════════════════════════════════════════════╣ ║ Action: BUY / HOLD / SELL ║ ║ Conviction: STRONG / MODERATE / WEAK ║ ╚══════════════════════════════════════════════╝ ``` **Score Guide**: 8.0–10.0 Strongly Bullish | 6.0–7.9 Moderately Bullish | 4.0–5.9 Neutral | 2.0–3.9 Moderately Bearish | 0.0–1.9 Strongly Bearish **Confidence**: HIGH (strong data, clear signals) | MEDIUM (mixed signals) | LOW (limited data, conflicting signals) **Horizon**: SHORT-TERM (1 week–3 months) | MEDIUM-TERM (3 months–1 year) | LONG-TERM (1+ years)