How a 15% weight cap bites in a market-cap-weighted basket
Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-09-26, from What Stocks Are in the DAX 40?.
| symbol | as_of_label | weight_pct | over_cap_pct |
|---|---|---|---|
| NVDA | Sep 25, 2026 | 28.27 | 13.27 |
| AAPL | Sep 25, 2026 | 25.9 | 10.9 |
| MSFT | Sep 25, 2026 | 19.94 | 4.94 |
| AMZN | Sep 25, 2026 | 14.01 | 0 |
| JPM | Sep 25, 2026 | 4.74 | 0 |
| JNJ | Sep 25, 2026 | 3.4 | 0 |
| KO | Sep 25, 2026 | 1.97 | 0 |
| PG | Sep 25, 2026 | 1.77 | 0 |
- Rows × columns
- 8 × 4
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
symbol |
text | 8 distinct values (AAPL, AMZN, JNJ…) | |
as_of_label |
text | 1 distinct value (Sep 25, 2026) | |
weight_pct |
number | 1.77 to 28.27 | percent |
over_cap_pct |
number | 0 to 13.27 | percent |
Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
WITH latest AS
(
SELECT
ticker,
argMax(toFloat64(market_cap), date) AS mcap,
max(date) AS as_of
FROM global_markets.stocks_ratios
WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'AMZN', 'JPM', 'JNJ', 'PG', 'KO')
AND date >= today() - 400
AND market_cap > 0
GROUP BY ticker
),
basket AS
(
SELECT sum(mcap) AS total
FROM latest
)
SELECT
l.ticker AS symbol,
formatDateTime(l.as_of, '%b %e, %Y') AS as_of_label,
round(100 * l.mcap / b.total, 2) AS weight_pct,
round(greatest(100 * l.mcap / b.total - 15, 0), 2) AS over_cap_pct
FROM latest AS l
CROSS JOIN basket AS b
ORDER BY weight_pct DESC
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