ブレッド · S&P 500 — ブル相場のブレッド——移動平均線の上に立つ銘柄の割合
市場ブレッド — 50/200日線を上回る構成銘柄の割合——上昇は全員参加か、少数の巨大銘柄頼みか。
構成500銘柄のうち、自身の50日／200日移動平均線を上回って引けた銘柄の割合。ブレッドが高ければ全員での行進、指数が最高値なのにブレッドが崩れていれば、少数の巨大銘柄が相場を担いでいる。
What this page answers
The latest reading for the share of S&P 500 members above their 200-day average (%) is 69.10 (2026-07-17). The series starts 2023-07-13 and holds 756 observations; the long-run mean is 63.42, the all-time high 87.60 (2024-03-28) and the low 18.50 (2025-04-08).
構成500銘柄のうち、自身の50日／200日移動平均線を上回って引けた銘柄の割合。ブレッドが高ければ全員での行進、指数が最高値なのにブレッドが崩れていれば、少数の巨大銘柄が相場を担いでいる。 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
- 7,457.692026-07-17
- Observations
- 756
- Sample
- 2023-07-13 – 2026-07-17
share of S&P 500 members above their 200-day average (%) — year-end readings
| Date | Value |
|---|---|
| 2026-07-17 | 69.10 |
| 2025-12-31 | 59.10 |
| 2024-12-31 | 57.10 |
| 2023-12-29 | 81.00 |
Showing the 4 most recent of 756 observations — the full series is in the JSON: https://historyofmarket.com/api/sp500/breadth.json
Static Preview
Data & Source
GET /api/sp500/breadth.json — Canonical dataset endpoint.
Yahoo Finance · Macrotrends · Robert Shiller · FRED · S&P Global · Nasdaq · NBER.
FAQ
What is the latest share of S&P 500 members above their 200-day average (%) reading?
69.10 as of 2026-07-17. The long-run average is 63.42.
What period does the share of S&P 500 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.