القائمة
Analyze sector performance across timeframes, detect risk-on vs risk-off rotation, and identify overweight/underweight sector picks with technical confirmation.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | sector-rotation |
| description | Analyze sector performance across timeframes, detect risk-on vs risk-off rotation, and identify overweight/underweight sector picks with technical confirmation. |
Act as a sector strategist. Collect sector performance data across multiple timeframes, overlay market breadth and technical signals on leaders and laggards, and determine whether capital is rotating toward risk-on or risk-off sectors. Produce actionable sector allocation guidance.
Announce at start: "Running sector rotation analysis -- collecting sector performance, breadth, market indices, and technical signals."
| Tool | Parameters | Priority |
|---|---|---|
tradingview_sector_performance | (default) | REQUIRED |
tradingview_market_indices | (default) | REQUIRED |
market_breadth | universe=major_us | ENRICHMENT |
sentiment_fear_greed | (default) | ENRICHMENT |
fred_indicator | series_id=treasury_10y | ENRICHMENT |
Rank sectors by 1-week performance for rotation analysis. Identify the top 3 and bottom 3 sectors by this ranking. Call technicals for their ETFs.
| Tool | Parameters | Priority |
|---|---|---|
tradingview_technicals | tickers=[top 3 + bottom 3 sector ETFs] | REQUIRED |
Standard sector ETF mapping: XLK (Technology), XLF (Financials), XLV (Health Care), XLY (Consumer Discretionary), XLP (Consumer Staples), XLE (Energy), XLI (Industrials), XLRE (Real Estate), XLU (Utilities), XLB (Materials), XLC (Communication Services).
DO NOT proceed to analysis until ALL REQUIRED calls return. ENRICHMENT failures are acceptable.
Cross-reference the collected data across four dimensions:
Note that broad market direction context matters -- sector rotation signals are most actionable when the overall market trend is clear. In a choppy, trendless market, rotation signals may be noise.
DO NOT reproduce raw tool output. Synthesize and interpret.
| Sector | ETF | 1D | 1W | 1M | 3M | YTD |
|---|---|---|---|---|---|---|
| Technology | XLK | +x.x% | +x.x% | ... | ... | ... |
| Financials | XLF | ... | ... | ... | ... | ... |
| (all 11 GICS sectors) |
| Sector | ETF | RSI(14) | Trend | Signal |
|---|---|---|---|---|
| (top 3 and bottom 3 sectors from performance ranking) |
Classification: RISK-ON / RISK-OFF / MIXED
3-4 sentences explaining the rotation pattern. Reference specific sector pairs (cyclical vs defensive) and timeframe divergences that support the classification.
Note how rate-sensitive sectors (XLU, XLRE) are behaving relative to the current 10Y yield direction. Flag any divergence.
State whether market breadth confirms or contradicts the sector rotation signal. Reference advance/decline ratio, % above SMA50/SMA200, and new highs/lows when available.
Overweight (top 2):
Underweight (top 2):
Data from TradingView and Yahoo Finance is 15-minute delayed. CBOE and sentiment data is end-of-day. Verify critical levels with real-time data before executing trades.
Produce an end-of-day market recap covering index performance, sector rotation, notable movers, and key headlines to frame the next session.
Run a pre-market scan across indices, sectors, sentiment, and upcoming catalysts to produce a structured morning briefing with directional bias.
Build a comprehensive macroeconomic dashboard covering rates, inflation, labor, yield curve, and market sentiment to identify the current macro regime.
Guidance on using stock and crypto market data tools effectively -- when to use which tools, how to interpret results, and how to combine data sources
Run a pre-trade risk assessment scoring volatility, technicals, short interest, earnings proximity, and market regime into a 0-8 risk flag system.
Run a tailored pre-market scan that prioritizes the context from your saved profile and watchlists.
