Cluster Rotation

Which market clusters are leading vs lagging the S&P 500

Updated October 9, 2026

Each row is one of the 25 co-movement clusters — groups of stocks and ETFs that historically move together. The columns show how each cluster has performed vs SPY over the last 4 weeks, 13 weeks, and full year (excess return in percentage points), plus a 13-week sparkline of that running excess. Sorted by 4-week excess, so the current leaders are at the top.

The sparkline is the story: a steady climb means consistent weekly beats vs SPY; a bend in the curve is where leadership changed. A cluster with a negative 4W reading but an upward-curving sparkline is closing its gap — the early rotation signal.

Cluster4W vs SPY13W vs SPY1Y vs SPY13W trendPerform
Software / cloud+6.4pp+15.2pp−8.0pp46
Enterprise software and cloud — the long-duration growth engine.
Semis & hardware+3.5pp−0.3pp+67.3pp79
Chipmakers and the gear that builds them — the AI-cycle epicentre.
Health care+1.8pp+6.0pp+4.5pp61
Tools, biotech and large-cap pharma — defensive growth.
Retail−0.7pp−3.9pp−12.2pp46
Consumer-discretionary retail — the spending-cycle book.
IT services−1.1pp+13.0pp−23.1pp25
IT services, consulting and outsourcing.
Electrification−1.4pp−9.9pp+0.6pp56
Power, grid and data-center build-out — the AI-capex spillover.
Cash & short duration−2.1pp−3.2pp−19.8pp40
T-bill and ultra-short / floating-rate funds.
Spec growth−2.4pp−5.0pp−23.6pp35
High-beta growth, fintech and disruption — the risk-on extreme.
Data & analytics−3.4pp−1.2pp−29.7pp35
Ratings, indices and financial-data franchises.
Energy−3.4pp+9.2pp+29.4pp78
Oil & gas producers and services — the commodity-price trade.
Bonds / fixed income−3.5pp−7.3pp−26.4pp29
Bond ETFs — the pure duration and credit sleeve.
Industrials / SMID−3.5pp−7.8pp−2.9pp57
Broad industrial and small/mid-cap cyclicals — the economy beta.
Utilities−3.9pp−13.2pp−23.0pp33
Regulated power and water — the rate-sensitive defensive.
Int'l (ex-US)−3.9pp−5.3pp−13.1pp49
Foreign and emerging-market equity — the weak-dollar trade.
Travel & leisure−4.1pp−12.3pp−9.3pp50
Airlines, hotels, cruises and casinos — the reopening trade.
Aerospace-defense−4.2pp−8.0pp−17.7pp39
Defense primes and steady-demand contractors.
Thematic ETFs−4.4pp−7.2pp−12.8pp42
Clean-energy, niche-theme and preferred-income ETFs.
Staples / low-vol−4.7pp−6.9pp−18.3pp45
Consumer staples and low-vol dividend payers — the bond proxy.
Payments & fintech−4.9pp+1.6pp−33.1pp33
Card networks and payment processors.
Insurance−5.0pp−8.2pp−21.8pp37
Property-casualty and life insurers — the steady financials.
Homebuilders−6.7pp−17.8pp−40.7pp19
Homebuilders and building products — the housing-rate trade.
REITs / real estate−6.9pp−12.0pp−20.3pp38
Equity REITs — the property and rate-duration trade.
Media & cable−8.9pp−1.3pp−27.0pp35
Cable, broadcast and media networks.
Banks−9.6pp−9.5pp−4.4pp56
Regional and money-center banks — the rate-and-credit trade.
Miners / metals−10.2pp−1.3pp+6.0pp64
Metals, mining and materials — the hard-asset cycle.

Excess returns = cluster equal-weight index minus SPY, both rebased to 100 at the start of each window. Sparkline: 13-week running excess vs SPY, rebased to 0 at week −13 — slope = trend strength, a bend = regime change. Clustering window: trailing 5y. Series built October 9, 2026. Perform score is the cluster average marketBeat1Y from the live universe (— for ETF clusters).

Every ticker here links to its live page — peer-relative metrics, a percentile fingerprint, and screeners across the whole S&P 500.

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