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+1.5%+2.4%−2.5%+106.4%76666140
Chipmakers and the gear that builds them — the AI-cycle epicentre.
Energy30+1.1%+1.2%+11.7%+47.9%77584346
Oil & gas producers and services — the commodity-price trade.
Miners / metals28+1.0%+1.7%+6.4%+39.2%73605651
Metals, mining and materials — the hard-asset cycle.
Electrification16+0.7%+4.1%−5.5%+28.6%56555741
Power, grid and data-center build-out — the AI-capex spillover.
Health care54−2.6%−2.8%+2.1%+24.6%60364972
Tools, biotech and large-cap pharma — defensive growth.
Banks40−1.3%−0.1%−1.1%+19.2%58395065
Regional and money-center banks — the rate-and-credit trade.
Industrials / SMID74−1.1%−1.3%−5.2%+15.4%55454752
Broad industrial and small/mid-cap cyclicals — the economy beta.
Int'l (ex-US)35−0.8%+0.2%−1.5%+15.1%53603047
Foreign and emerging-market equity — the weak-dollar trade.
Thematic ETFs12+0.4%+1.3%+0.8%+10.4%495924
Clean-energy, niche-theme and preferred-income ETFs.
Aerospace-defense32−1.0%−1.7%−4.5%+8.4%45325144
Defense primes and steady-demand contractors.
Utilities31+0.9%+2.1%−2.0%+6.0%42345040
Regulated power and water — the rate-sensitive defensive.
Staples / low-vol48−0.7%−1.9%−2.8%+4.7%40554058
Consumer staples and low-vol dividend payers — the bond proxy.
Media & cable8−1.2%−2.9%+3.0%+4.5%33543055
Cable, broadcast and media networks.
Spec growth29−0.8%−0.6%+1.0%+4.0%44585945
High-beta growth, fintech and disruption — the risk-on extreme.
Travel & leisure21−1.8%−2.2%−9.4%+3.6%44435142
Airlines, hotels, cruises and casinos — the reopening trade.
Retail20−1.5%−1.0%−4.6%+2.6%42494737
Consumer-discretionary retail — the spending-cycle book.
Insurance20−2.2%−1.7%−4.3%+2.3%40365854
Property-casualty and life insurers — the steady financials.
Software / cloud29−1.9%−5.9%−0.0%+2.1%41545866
Enterprise software and cloud — the long-duration growth engine.
REITs / real estate34−0.5%−0.8%−3.4%+1.1%38424535
Equity REITs — the property and rate-duration trade.
Cash & short duration4−0.0%−0.2%+0.1%−0.6%338495
T-bill and ultra-short / floating-rate funds.
Bonds / fixed income16−0.1%−0.4%−1.0%−4.6%277927
Bond ETFs — the pure duration and credit sleeve.
IT services8−3.0%−4.7%−2.8%−12.3%25353258
IT services, consulting and outsourcing.
Data & analytics20−2.8%−4.9%−0.0%−12.5%28446157
Ratings, indices and financial-data franchises.
Payments & fintech7−3.1%−2.0%−1.5%−13.1%30304275
Card networks and payment processors.
Homebuilders13−3.1%−3.6%−10.4%−25.9%16473538
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.

Stox →

All listsGet the weekly emailFor AI agents: MCP server