Stock Clusters

The market mapped by how stocks actually move — not by sector

Updated June 18, 2026

The dashboard already groups stocks two ways: peers (rivals fighting for the same customers) and GICS sector (the statistical bucket). This is a third lens — built from the data itself. We took five years of daily returns for ~1,100 stocks and ETFs, stripped out the market’s common move, and let an algorithm group the names whose prices genuinely travel together. No sector labels, no hand-picking. The result is 25 clusters.

They often cut across GICS in revealing ways — utilities, REITs and long bonds fall into separate rate-sensitive groups; semiconductors split from software; the AI build-out shows up as its own “Electrification” cluster of electrical-equipment and engineering names. Below, each cluster is treated as an equal-weight index: its 1-day / 1-week / 1-month / 1-year price change, and its average Perform · Persist · Profit · Pressure score (0–100 percentiles; greener is stronger). Sorted by 1-year return. Click any cluster for its full member list.

ClusterNames1D1W1M1YPerformPersistProfitPressure
Semis & hardware51+0.3%−1.6%−10.0%+59.3%72666162
Chipmakers and the gear that builds them — the AI-cycle epicentre.
Energy30+2.6%+1.3%+7.7%+52.7%80634362
Oil & gas producers and services — the commodity-price trade.
Health care54−0.7%+2.1%+5.0%+30.6%64354965
Tools, biotech and large-cap pharma — defensive growth.
Miners / metals28+0.3%−2.3%−7.9%+19.5%60565643
Metals, mining and materials — the hard-asset cycle.
Industrials / SMID74−0.9%+0.8%+2.5%+14.3%58474751
Broad industrial and small/mid-cap cyclicals — the economy beta.
Banks40−1.3%+1.1%−1.7%+11.8%56335040
Regional and money-center banks — the rate-and-credit trade.
Software / cloud29+1.1%+5.2%+6.6%+9.1%45485872
Enterprise software and cloud — the long-duration growth engine.
Insurance20−1.7%+2.1%+10.4%+8.9%53295841
Property-casualty and life insurers — the steady financials.
Staples / low-vol48−1.6%+0.9%+4.1%+8.2%48514066
Consumer staples and low-vol dividend payers — the bond proxy.
Retail20−2.3%+0.4%+5.7%+5.6%50344754
Consumer-discretionary retail — the spending-cycle book.
Aerospace-defense32−0.9%+2.3%+8.4%+5.6%45355148
Defense primes and steady-demand contractors.
Travel & leisure21−2.5%−0.0%+2.3%+5.0%49515239
Airlines, hotels, cruises and casinos — the reopening trade.
Int'l (ex-US)35−0.1%−1.3%−4.5%+1.9%44633029
Foreign and emerging-market equity — the weak-dollar trade.
Electrification16−1.6%−7.2%−9.6%+0.8%38465741
Power, grid and data-center build-out — the AI-capex spillover.
IT services8−1.2%+7.2%+16.8%+0.3%39433271
IT services, consulting and outsourcing.
Cash & short duration4−0.0%−0.1%−0.5%−0.9%3764—79
T-bill and ultra-short / floating-rate funds.
Utilities31−0.7%+1.6%+9.0%−1.1%37425044
Regulated power and water — the rate-sensitive defensive.
Thematic ETFs12−0.8%−1.5%−4.7%−2.0%3366—25
Clean-energy, niche-theme and preferred-income ETFs.
Data & analytics20−1.0%+4.7%+10.2%−2.1%40476161
Ratings, indices and financial-data franchises.
REITs / real estate34−0.0%+1.1%+0.8%−3.0%35484524
Equity REITs — the property and rate-duration trade.
Media & cable8−0.9%+2.5%+3.0%−3.2%40433062
Cable, broadcast and media networks.
Bonds / fixed income16−0.1%+0.5%+1.0%−6.8%2685—21
Bond ETFs — the pure duration and credit sleeve.
Payments & fintech7−1.9%+1.9%+6.3%−7.6%38354244
Card networks and payment processors.
Spec growth29−1.0%−0.9%−6.7%−10.0%29625950
High-beta growth, fintech and disruption — the risk-on extreme.
Homebuilders13−0.7%+5.4%+5.8%−15.5%23453531
Homebuilders and building products — the housing-rate trade.

Equal-weight baskets, price return (ex-dividends). Scores are the average of each cluster’s members; ETF-heavy clusters (Bonds, International) show fewer Profit scores (no fundamentals). Clustering window: trailing 5y.

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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