Lab · Sector Engine
Global Sector × Region Heatmap
11 GICS sectors across 4 regions, refreshed daily after each market closes. Cross-region spreads, cyclical-defensive rotation, and region-weighted global aggregates — the decomposition that tells you whether a global sector move was actually global, or just one region carrying the average.
Snapshot Jul 7, 2026 · 1-month window · 4 regions × 11 sectors
Leading sector globally
Health Care
+7.0% weighted across 4 regions (1m)
Lagging sector globally
Tech
-6.3% weighted across 4 regions (1m)
Risk-on regime (cyc − def)
AsiaPacDM -0.0%
Defensives leading cyclicals (1-month)
Cyclical − Defensive spread per region
Cyclicals = Tech, ConsDisc, Industrials. Defensives = ConsStaples, Utilities, HealthCare. Positive = risk-on; negative = defensive bid.
Sector × Region heatmap
Cell color = quintile of all 44 cells for the selected window. Darkest red = bottom-quintile loss; darkest green = top-quintile gain. Hover for the underlying ETF source.
Cross-region spreads
Per-sector return difference between two regions. Positive bar means the first region of the pair is outperforming the second on this window.
Asia AI leadership spreads
Two derived spreads inside the AI-semis trade. EWY (Korea, Samsung + SK hynix-heavy) carries the memory-cycle signal; SMH (global semis) and EWT (Taiwan, TSMC ≈20%) carry logic. Positive = first leg leading, negative = trailing. Tracks the current window selector.
Global region-weighted aggregates
Per sector, weighted by MSCI ACWI region weights renormalised to our 4-region universe (US 0.66 / Europe 0.17 / Asia-Pac DM 0.06 / EM 0.11). Click a column to sort.
| Sector | 5d | 1m | 3m | YTD |
|---|
Diary view, not advice. Methodology and rebalance cadence in methodology.md. Worker source workers/sector-engine. Live probes: /api/sectors/matrix · /api/sectors/decomp.
The full matrix, in numbers
The Sector Engine measures the same eleven GICS sectors in four regions — US (SPDR Select Sectors), Europe (iShares STOXX 600 sectors, six direct plus five synthetic), Asia-Pac DM (TOPIX-17 funds via the Closelook data lake) and Emerging Markets (a country-weighted approximation across twelve country ETFs). That construction makes the global sector board comparable cell by cell — the kind of decomposition normally shown only on institutional terminals. One-month returns per cell below; the interactive heatmap above carries all windows, the decomposition and the cross-region spreads.
| Sector | US | Europe | Asia-Pac DM | EM |
|---|---|---|---|---|
| Health Care | +8.6% | +7.8% | +6.0% | -2.9%* |
| Financials | +7.8% | +5.1%* | +9.0%* | -2.6%* |
| Utilities | +4.7% | +4.3% | +2.0% | -2.3%* |
| Consumer Staples | +4.2% | +9.7%* | +9.4%* | -1.9%* |
| Industrials | +3.8% | +3.8% | +8.6%* | -4.2%* |
| Real Estate | +2.0% | +4.1%* | +9.6% | -2.6%* |
| Consumer Discretionary | +0.3% | +3.0%* | +5.5%* | -4.5%* |
| Materials | +0.2% | +4.9%* | +2.3%* | -2.6%* |
| Communication Services | -1.6% | -9.5% | -0.6%* | -5.2%* |
| Energy | -6.3% | +6.3% | -2.9% | -1.3%* |
| Technology | -7.1% | -7.0% | +3.2%* | -5.2%* |
Sorted by US 1-month return. * = country-weighted approximation (EM cells). Per-cell vehicles and all windows on the region and sector detail pages. closelook.net is an investment research diary — readings are our own measurements, not investment advice.