sector-rotation-analyst

Identify sector rotation opportunities across all 11 GICS sectors using relative strength, momentum, and macro regime context from the Finskills API.

finskills@finskills

Install

openclaw skills install @finskills/sector-rotation-analyst

Sector Rotation Analyst

Identify which of the 11 GICS sectors are leading or lagging the market using live sector performance data, ETF holdings, and index constituent analysis from the Finskills API. Generates a sector rotation map with actionable over/underweight recommendations aligned with the current macro regime.

Setup

API Key required — Register at https://finskills.net to get your free key.
Header: X-API-Key: <your_api_key>

Get your API key: Register at https://finskills.net — free tier available, Pro plan unlocks real-time quotes, history, and financials.

When to Activate This Skill

Activate when the user:

Asks which sectors are leading or lagging the market
Wants top stock picks within a specific sector
Asks about sector rotation strategy based on the economic cycle
Wants to understand which ETFs offer sector exposure
Asks "where is smart money flowing?" or "which sectors are hot right now?"

Data Retrieval — Finskills API Calls

1. Sector Performance Data

text

GET https://finskills.net/v1/market/sectors

Extract: All 11 GICS sectors with performance across timeframes: 1D, 1W, 1M, 3M, YTD, 1Y

2. ETF Holdings (for sector leaders)

For each sector's representative ETF (XLK, XLF, XLV, etc.):

text

GET https://finskills.net/v1/free/etf/holdings/{SECTOR_ETF}

Extract: top 10 holdings (ticker, weight, company name)

3. S&P 500 Index Constituents (for sector weights)

text

GET https://finskills.net/v1/free/index/SP500/constituents

Extract: all constituents with sector classification — compute actual S&P 500 sector weights

4. Market Summary (Benchmark Context)

text

GET https://finskills.net/v1/market/summary

Extract: S&P 500, Nasdaq, Russell 2000 performance for relative comparison

Sector ETF Reference Map

Sector	ETF	Description
Technology	XLK	Software, hardware, semiconductors
Healthcare	XLV	Pharma, biotech, medical devices
Financials	XLF	Banks, insurance, asset managers
Consumer Discretionary	XLY	Retail, autos, restaurants
Industrials	XLI	Defense, aerospace, construction
Communication Services	XLC	Media, telecom, internet
Consumer Staples	XLP	Food, beverage, household products
Energy	XLE	Oil & gas, refiners
Real Estate	XLRE	REITs
Materials	XLB	Mining, chemicals, paper
Utilities	XLU	Power, water, gas utilities

Analysis Workflow

Step 1 — Sector Performance Snapshot

Create a leaderboard for each performance period: 1D, 1W, 1M, 3M, YTD:

Rank sectors from best to worst performer for each timeframe.

Flag divergences:

Sector outperforming YTD but recently lagging 1M: momentum fade, potential reversal
Sector lagging YTD but recently leading 1M: early rotation, potential breakout

Relative strength vs. S&P 500 for each sector:

text

Sector Relative Return = Sector Return − S&P 500 Return (same period)

Positive = outperforming (overweight candidate)
Negative = underperforming (underweight candidate)

Step 2 — Sector Rotation Cycle Mapping

Map current sector performance to the classic economic cycle:

text

Economic Cycle → Sector Leadership Pattern:

Early Recovery (recession ending):
  Leaders: Consumer Discretionary, Financials, Industrials
  Laggards: Utilities, Consumer Staples, Healthcare

Middle Expansion (goldilocks):
  Leaders: Technology, Industrials, Basic Materials
  Laggards: Utilities, Consumer Staples

Late Expansion (overheating):
  Leaders: Energy, Materials, Healthcare
  Laggards: Financials, Consumer Discretionary

Contraction (recession):
  Leaders: Consumer Staples, Utilities, Healthcare
  Laggards: Energy, Financials, Consumer Discretionary

Cross reference actual sector performance to infer the current cycle phase and whether the market is rotating toward or away from the expected pattern.

Step 3 — Top Stock Leaders Within Sectors

For the top 2–3 leading sectors, extract top ETF holdings:

List top 5 companies by weight in the sector ETF
Note weighting (stocks with > 10% weight dominate ETF returns)
Flag the sector ETF's largest contributors to recent performance

Step 4 — Sector Concentration in S&P 500

From the index constituents data:

Show current S&P 500 sector weights
Flag if any sector is > 30% weight (systemic concentration risk for index investors)
Note sector weight trend (growing vs. shrinking weight)

Step 5 — Recommendations

Provide:

Overweight (OW): 2–3 sectors with strongest momentum + macro tailwinds
Neutral (N): sectors with mixed signals or in transition
Underweight (UW): sectors with weakening momentum + macro headwinds

Output Format

text

╔══════════════════════════════════════════════════════╗
║    SECTOR ROTATION REPORT  —  {DATE}                ║
╚══════════════════════════════════════════════════════╝

📊 SECTOR PERFORMANCE LEADERBOARD
  Sector               ETF    1D      1W      1M      3M      YTD
  ─────────────────────────────────────────────────────────────────
  Technology          XLK    +1.8%   +3.2%   +8.1%   +15.2%  +22.4%
  Communication Svcs  XLC    +1.2%   +2.1%   +5.3%   +11.0%  +18.1%
  Consumer Disc.      XLY    +0.9%   +1.0%   +2.2%   +5.1%   +12.3%
  Industrials         XLI    +0.4%   +0.3%   +1.1%   +3.2%    +8.4%
  Financials          XLF    -0.1%   -0.5%   +0.8%   +2.1%    +6.2%
  Healthcare          XLV    -0.3%   +0.1%   -0.5%   +1.0%    +4.1%
  Materials           XLB    -0.5%   -1.2%   -1.0%   +0.2%    +2.1%
  Energy              XLE    -0.8%   -2.1%   -4.2%   -3.0%    -2.4%
  Real Estate         XLRE   -1.0%   -1.5%   -2.3%   -1.2%    -3.0%
  Consumer Staples    XLP    -1.1%   -1.0%   -1.8%   +0.5%    +2.0%
  Utilities           XLU    -1.4%   -2.0%   -3.1%   -2.5%    -1.5%
  ─────────────────────────────────────────────────────────────────
  S&P 500 (SPY)              +0.5%   +0.8%   +2.3%   +5.4%   +10.2%

🔄 ROTATION CYCLE SIGNAL: {Cycle Phase — e.g., "Mid-to-Late Expansion"}
   Market aligning with: {expected leaders for this cycle} ✅
   Anomalies: {any sectors not behaving as expected}

🏆 TOP SECTORS — EXPANDED VIEW

  #1 Technology (XLK) — YTD +22.4% vs SPY +10.2% (+12.2pp)
  Top Holdings: AAPL {weight}%, MSFT {weight}%, NVDA {weight}%, ...
  Catalyst: {AI capex cycle / Strong pricing power / etc.}

  #2 Communication Services (XLC) — YTD +18.1% vs SPY +10.2% (+7.9pp)
  Top Holdings: GOOG {weight}%, META {weight}%, ...
  Catalyst: {Digital advertising recovery / streaming growth}

  #3 {Next sector...}

📉 WEAKEST SECTORS
  Utilities (XLU) — YTD -1.5% | Headwind: Rising rates hurt dividend valuations
  Energy (XLE) — YTD -2.4% | Headwind: Oil supply increase, demand concerns

🏛️ S&P 500 SECTOR WEIGHTS
  Technology: {%} | Healthcare: {%} | Financials: {%} | ...
  [⚠️ Flag if Tech > 30%]

🎯 TACTICAL RECOMMENDATIONS
  OVERWEIGHT:  {Sector 1}, {Sector 2}  —  {rationale}
  NEUTRAL:     {Sector 3}, {Sector 4}
  UNDERWEIGHT: {Sector 5}, {Sector 6}  —  {rationale}

Limitations

Sector ETF performance may diverge from underlying sector due to size/weight concentration.
Sector rotation is a medium-term (1–6 month) framework; it has low signal at daily resolution.
ETF holdings data may lag actual portfolio composition by 1–3 months.

sector-rotation-analyst

Install

Sector Rotation Analyst

Setup

When to Activate This Skill

Data Retrieval — Finskills API Calls

1. Sector Performance Data

2. ETF Holdings (for sector leaders)

3. S&P 500 Index Constituents (for sector weights)

4. Market Summary (Benchmark Context)

Sector ETF Reference Map

Analysis Workflow

Step 1 — Sector Performance Snapshot

Step 2 — Sector Rotation Cycle Mapping

Step 3 — Top Stock Leaders Within Sectors

Step 4 — Sector Concentration in S&P 500

Step 5 — Recommendations

Output Format

Limitations

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