A 10 percent index cap, worked on a 40 stock 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 2026-09-29, from How DAX Index Weights Are Calculated.
| ticker | uncapped_weight_pct | capped_weight_pct | cap_shift_pp | as_of |
|---|---|---|---|---|
| NVDA | 14.53 | 10 | -4.53 | Sep 28, 2026 |
| AAPL | 12.99 | 10 | -2.99 | Sep 28, 2026 |
| GOOGL | 11.02 | 10 | -1.02 | Sep 28, 2026 |
| MSFT | 9.94 | 11.33 | 1.38 | Sep 28, 2026 |
| AMZN | 6.98 | 7.95 | 0.97 | Sep 28, 2026 |
| META | 4.79 | 5.46 | 0.67 | Sep 28, 2026 |
| AVGO | 4.39 | 5 | 0.61 | Sep 28, 2026 |
| TSLA | 3.71 | 4.23 | 0.52 | Sep 28, 2026 |
| LLY | 2.78 | 3.16 | 0.39 | Sep 28, 2026 |
| AMD | 2.61 | 2.97 | 0.36 | Sep 28, 2026 |
| JPM | 2.35 | 2.68 | 0.33 | Sep 28, 2026 |
| WMT | 2.27 | 2.58 | 0.32 | Sep 28, 2026 |
- Rows × columns
- 12 × 5
- 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 |
|---|---|---|---|
ticker |
text | 12 distinct values (AAPL, AMD, AMZN…) | |
uncapped_weight_pct |
number | 2.27 to 14.53 | percent |
capped_weight_pct |
number | 2.58 to 11.33 | percent |
cap_shift_pp |
number | -4.53 to 1.38 | |
as_of |
text | 1 distinct value (Sep 28, 2026) |
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 basket AS (
SELECT
ticker,
toFloat64(argMax(market_cap, date)) AS mcap,
max(date) AS asof
FROM global_markets.stocks_ratios
WHERE ticker IN ('AAPL','MSFT','NVDA','AMZN','GOOGL','META','AVGO','TSLA','LLY','JPM',
'V','MA','XOM','UNH','JNJ','PG','HD','COST','ABBV','WMT',
'NFLX','BAC','KO','MRK','PEP','ADBE','CSCO','AMD','TMO','ACN',
'MCD','ABT','CRM','LIN','PFE','INTU','TXN','QCOM','AMGN','ORCL')
AND date >= today() - 60
AND market_cap > 0
GROUP BY ticker
),
weights AS (
SELECT
ticker,
asof,
100 * mcap / sum(mcap) OVER () AS w0
FROM basket
),
spill AS (
SELECT
sum(greatest(w0 - 10, 0)) AS excess,
sum(if(w0 < 10, w0, 0)) AS room,
formatDateTime(max(asof), '%b %e, %Y') AS as_of
FROM weights
)
SELECT
ticker,
round(w0, 2) AS uncapped_weight_pct,
round(if(w0 >= 10, 10.0, w0 * (1 + excess / room)), 2) AS capped_weight_pct,
round(if(w0 >= 10, 10.0, w0 * (1 + excess / room)) - w0, 2) AS cap_shift_pp,
as_of
FROM weights
CROSS JOIN spill
ORDER BY uncapped_weight_pct DESC
LIMIT 12
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