sector-analysis · diff
git:20260224.5f0f21a to git:20260619.9732239
15 added, 0 removed. Audit B to B.
---
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 ⚠️ **Live data unavailable.** The following analysis uses training-data estimates which may be significantly out of date.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)