Lab · Sector Engine · Sector
Technology across regions
Software, semiconductors, IT services. Largest weight in every region; cyclical bucket per Faber/Asness.
Snapshot Aug 23, 2026 · 4 regions × 11 sectors · refreshed daily.
Global region-weighted
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Top region for this sector
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Bottom region for this sector
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Technology across 4 regions
Same sector, four geographies, four windows. Source ETF per region noted.
| Region | 5d | 1m | 3m | YTD | Source |
|---|
Cross-region spreads — Technology only
All six region-pair spreads on the selected window for this sector. Strongest absolute spread first.
Tech themes — Phase 2 sub-cuts
Seven theme drill-downs inside Technology. The GICS Tech sector is too coarse for most equity work — these themes split the sector along the lines that actually drive performance dispersion (chip supply, AI compute, software ARR, etc.).
Semiconductors
Chip design, foundry, equipment, packaging. Most concentrated sub-sector — top 10 ≈ 75% of cap.
SMH.US →AI & Hyperscalers
Compute, training, deployment at scale. Hyperscalers + AI-native cohort.
AIQ.US →Cloud Software
SaaS / PaaS / cloud-native software. Recurring-revenue cohort distinct from hyperscalers.
WCLD.US →Cybersecurity
Endpoint, network, identity, cloud-native. Structurally non-discretionary spend.
CIBR.US →Robotics & Automation
Industrial robotics, factory automation, autonomous systems, embodied AI.
ROBO.US →FinTech
Payment networks, processors, neo-banks, financial software, crypto-rails.
FINX.US →China Internet
Chinese internet platforms — distinct theme due to regulatory regime and ADR structure.
KWEB.US →Diary view, not advice. Methodology in methodology.md. Back to the global heatmap.
Technology across the four regions
Software, semiconductors, IT services. Largest weight in every region; cyclical bucket per Faber/Asness. The same sector rarely behaves the same way twice across regions — the spread between the best and worst region is the tradable information, and the table below is the current state of that spread.
| Region | 5d | 1m | 3m | YTD | Vehicle | Confidence |
|---|---|---|---|---|---|---|
| Emerging Markets | -1.4% | +4.0% | +5.2% | +40.2% | EM:CN+TW+IN+KR+BR+SA+MX+ZA+ID+TH+MY+OTHER (approx.) | medium |
| US | -3.5% | +2.7% | +2.8% | +33.0% | XLK | high |
| Europe | +1.4% | +1.9% | +2.3% | +23.2% | EXH1.XETRA | high |
| Asia-Pac DM | -5.4% | +3.0% | +5.3% | +22.6% | 1625.TSE+1626.TSE (approx.) | high |
Rows sorted by YTD. The vehicle column names the tracker each cell is measured from — common vehicles for this exposure, listed for education, not recommendation. Cells flagged "approx." are built from the country-weighted approximation described in the methodology. closelook.net is an investment research diary.