Magnificent 7 · Equal-Weight — Magnificent 7 · Equal-Weight Index of the Seven
Magnificent 7 — The equal-weight M7 index against the S&P 500.
Jan 3, 2022 = 100. These seven stocks have driven the bulk of the index's recent advance and sit at the centre of every concentration debate.
What this page answers
Rebased to 100 on 2022-01-03, the equal-weight Mag 7 index stands at 247.8 (2026-09-02). Dispersion inside the basket is wide: NVDA leads at +647.3% while TSLA trails at -10.7% — the Seven trade as one basket in the index and as seven very different stocks underneath.
Jan 3, 2022 = 100. These seven stocks have driven the bulk of the index's recent advance and sit at the centre of every concentration debate. The data is refreshed by the History of Market pipeline and published as a stable JSON endpoint for research, citation, and AI-agent use.
The plate
Latest Snapshot
- Updated
- 2026-09-03
- Latest value
- 247.792026-09-02
Mag 7 members since 2022-01-03
| Ticker | Company | Base price | Latest price | Return |
|---|---|---|---|---|
| NVDA | NVIDIA Corporation | $30.03 | $224.41 | +647.3% |
| GOOGL | Alphabet Inc. | $143.72 | $337.12 | +134.6% |
| AAPL | Apple Inc. | $177.79 | $324.96 | +82.8% |
| META | Meta Platforms, Inc. | $335.59 | $592.85 | +76.7% |
| MSFT | Microsoft Corporation | $321.86 | $496.82 | +54.4% |
| AMZN | Amazon.com, Inc. | $170.40 | $254.98 | +49.6% |
| TSLA | Tesla, Inc. | $399.93 | $357.01 | -10.7% |
Showing the full record (7 rows). Raw series: https://historyofmarket.com/api/m7/index.json
Data & Source
GET /api/m7/index.json — Canonical dataset endpoint.
Exchange closing prices · Company filings · Robert Shiller · FRED · NBER.
FAQ
Where does this data come from?
History of Market combines public market and macro datasets — exchange closing prices, company filings, Robert Shiller, FRED, NBER, and the UBS Global Investment Returns Yearbook (Dimson–Marsh–Staunton). 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.