Cluster Rotation

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

Updated July 17, 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
Payments & fintech+13.5pp−3.0pp−40.1pp21
Card networks and payment processors.
Insurance+11.1pp+2.7pp−12.1pp45
Property-casualty and life insurers — the steady financials.
Data & analytics+9.0pp−4.4pp−34.3pp24
Ratings, indices and financial-data franchises.
Health care+8.5pp−0.1pp+1.1pp54
Tools, biotech and large-cap pharma — defensive growth.
Energy+7.5pp+0.1pp+16.9pp71
Oil & gas producers and services — the commodity-price trade.
Software / cloud+7.5pp+11.5pp−23.7pp35
Enterprise software and cloud — the long-duration growth engine.
Banks+5.5pp+6.4pp+2.5pp61
Regional and money-center banks — the rate-and-credit trade.
REITs / real estate+4.8pp−0.8pp−11.7pp42
Equity REITs — the property and rate-duration trade.
IT services+4.7pp−17.2pp−45.3pp17
IT services, consulting and outsourcing.
Aerospace-defense+4.5pp−1.6pp−3.7pp45
Defense primes and steady-demand contractors.
Media & cable+4.4pp−17.4pp−26.2pp29
Cable, broadcast and media networks.
Utilities+3.1pp−4.7pp−4.5pp53
Regulated power and water — the rate-sensitive defensive.
Staples / low-vol+3.0pp−2.4pp−12.0pp39
Consumer staples and low-vol dividend payers — the bond proxy.
Retail+2.1pp−7.2pp−8.1pp50
Consumer-discretionary retail — the spending-cycle book.
Industrials / SMID+1.7pp−0.5pp+1.4pp55
Broad industrial and small/mid-cap cyclicals — the economy beta.
Cash & short duration+0.4pp−4.8pp−19.2pp30
T-bill and ultra-short / floating-rate funds.
Bonds / fixed income−0.4pp−6.8pp−19.6pp30
Bond ETFs — the pure duration and credit sleeve.
Travel & leisure−1.8pp−1.8pp−3.7pp49
Airlines, hotels, cruises and casinos — the reopening trade.
Homebuilders−2.1pp−9.1pp−25.2pp31
Homebuilders and building products — the housing-rate trade.
Int'l (ex-US)−2.3pp−8.0pp−6.5pp51
Foreign and emerging-market equity — the weak-dollar trade.
Spec growth−2.7pp−6.5pp−16.4pp42
High-beta growth, fintech and disruption — the risk-on extreme.
Miners / metals−4.2pp−13.2pp+13.1pp64
Metals, mining and materials — the hard-asset cycle.
Thematic ETFs−4.9pp−9.3pp+4.5pp55
Clean-energy, niche-theme and preferred-income ETFs.
Electrification−8.2pp−5.1pp+13.5pp62
Power, grid and data-center build-out — the AI-capex spillover.
Semis & hardware−12.6pp+10.0pp+71.8pp77
Chipmakers and the gear that builds them — the AI-cycle epicentre.

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 July 17, 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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