QuantMedia Sector Confluence Index
Sector Confluence is a QuantMedia metric. It takes the same post-close scan behind the daily signal dashboard and groups it by sector, so you can see where technical agreement is concentrated rather than only how much of it exists in aggregate.
QuantMedia Sector Confluence is the mean confluence score and BUY breadth of each sector within the 180-name scan universe, computed from one post-close run and ranked by mean score. A sector mean of 24 out of 30 means the average stock in that sector had 24 signals simultaneously bullish — comfortably above the 22 threshold.
Current reading
Sector readings for 2026-09-03, ranked by mean confluence score across 179 scored equities.
| # | Sector | Mean | Median | BUY | Breadth | Strongest |
|---|---|---|---|---|---|---|
| 1 | Energy | 24.64 | 25 | 11/11 | 100.0% | HAL (26) |
| 2 | Health Care | 20.45 | 21 | 10/22 | 45.5% | JNJ (26) |
| 3 | Communication Services | 20.00 | 23 | 4/6 | 66.7% | NFLX (24) |
| 4 | Materials | 17.80 | 18 | 1/10 | 10.0% | APD (26) |
| 5 | Financials | 17.76 | 17 | 5/33 | 15.2% | WFC (27) |
| 6 | Consumer Staples | 17.75 | 18 | 1/8 | 12.5% | PG (23) |
| 7 | Technology | 16.92 | 16 | 13/39 | 33.3% | AI (26) |
| 8 | Consumer Discretionary | 14.00 | 15 | 2/11 | 18.2% | TSLA (23) |
| 9 | Utilities | 13.67 | 13 | 0/3 | 0.0% | NEE (17) |
| 10 | Clean Energy | 12.00 | 13 | 0/6 | 0.0% | SEDG (17) |
| 11 | Industrials | 11.10 | 10 | 1/30 | 3.3% | DE (25) |
Generated 2026-09-04T01:07:07Z. Hand-maintained QuantMedia sector grouping, approximating GICS. Not an official classification.
Method
Ranking uses the mean rather than breadth because breadth saturates: once most of a sector clears the threshold, breadth stops distinguishing between a sector averaging 22 and one averaging 27. The mean keeps separating them. Both are shown so you can see when they disagree — a high mean with low breadth means a few very strong names carrying an otherwise flat sector.
Sector grouping
The grouping is hand-maintained by QuantMedia and approximates GICS without being it. Most assignments are uncontroversial. The exception is a small clean-energy cohort of solar manufacturers and residential installers, which GICS splits across Information Technology, Industrials and Utilities; these are grouped together here because they trade as a cohort, and separating them would leave buckets too small to average. Calling the mapping GICS would claim an accuracy it does not have.
Sector membership is fixed to the scan universe, so a sector's constituent count reflects QuantMedia's liquidity list rather than the sector's true size in the market. Utilities, for example, has three members here and is reported only because it clears the minimum — it is not a representative sample of US utilities.
Limitations
- Small samples. Several sectors have fewer than ten scored members. A single stock moves the mean materially. Constituent counts are shown for exactly this reason.
- Not sector allocation advice. A top rank means recent technical agreement, and nothing about valuation, fundamentals or forward return.
- Same trend bias as the underlying signals. Sectors that have already run tend to rank highest, which is a property of momentum scoring rather than a discovery.
- Universe-dependent. Computed on 180 liquid names, not on sector ETFs or full sector membership. Readings are not comparable to XLK/XLF-style ETF performance.
Data and refresh
| Source | QuantMedia post-close signal scan |
|---|---|
| Cadence | Every US trading day, published after 23:30 UTC |
| Machine-readable | /data/sector_confluence.json |
| Citation | Free to cite with attribution to QuantMedia and the market date |