시장 폭 · 나스닥 100 — 나스닥 100 폭 — 이동평균선 위에 선 종목의 비율
시장 폭 — 나스닥 100 중 몇 종목이 50/200일선 위인가 — 기술주 랠리의 폭.
100개 구성 종목 중 자기 50일/200일 이동평균선 위에서 마감한 종목의 비율. 애초에 비중이 집중된 지수인 만큼, 폭과 지수가 엇갈릴 때는 특히 주의가 필요하다.
What this page answers
The latest reading for the share of Nasdaq 100 members above their 200-day average (%) is 62.00 (2026-07-17). The series starts 2023-07-13 and holds 756 observations; the long-run mean is 67.29, the all-time high 93.90 (2023-12-19) and the low 18.00 (2025-04-08).
100개 구성 종목 중 자기 50일/200일 이동평균선 위에서 마감한 종목의 비율. 애초에 비중이 집중된 지수인 만큼, 폭과 지수가 엇갈릴 때는 특히 주의가 필요하다. The data is refreshed by the History of Market pipeline and published as a stable JSON endpoint for research, citation, and AI-agent use.
Latest Snapshot
- Updated
- 2026-07-17
- Latest close
- 28,592.662026-07-17
- Observations
- 756
- Sample
- 2023-07-13 – 2026-07-17
share of Nasdaq 100 members above their 200-day average (%) — year-end readings
| Date | Value |
|---|---|
| 2026-07-17 | 62.00 |
| 2025-12-31 | 59.00 |
| 2024-12-31 | 57.00 |
| 2023-12-29 | 91.90 |
Showing the 4 most recent of 756 observations — the full series is in the JSON: https://historyofmarket.com/api/ndx/breadth.json
Static Preview
Data & Source
GET /api/ndx/breadth.json — Canonical dataset endpoint.
Yahoo Finance · Macrotrends · Robert Shiller · FRED · S&P Global · Nasdaq · NBER.
FAQ
What is the latest share of Nasdaq 100 members above their 200-day average (%) reading?
62.00 as of 2026-07-17. The long-run average is 67.29.
What period does the share of Nasdaq 100 members above their 200-day average (%) data cover?
2023-07-13 through 2026-07-17 — 756 observations.
Where does this data come from?
History of Market combines public market and macro datasets including Yahoo Finance, Macrotrends, Robert Shiller, FRED, S&P Global, Nasdaq, and NBER. The exact endpoint for this panel is linked below.
How often is it updated?
Daily-tier datasets refresh after the U.S. market close, with a broader weekly refresh on Sunday. The timestamp shown on this page comes from the JSON payload.
Can I use the data?
Yes, for research and education with attribution to History of Market. Upstream data sources retain their own terms.