STRASMORE/EXPLORE 2,767 QUERIES

cap_math

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.

as of table 12×5read in context →
cap_math — 12 rows by 5 columns, computed from US exchange, SIP and OPRA data.
tickeruncapped_weight_pctcapped_weight_pctcap_shift_ppas_of
NVDA14.5310-4.53Sep 28, 2026
AAPL12.9910-2.99Sep 28, 2026
GOOGL11.0210-1.02Sep 28, 2026
MSFT9.9411.331.38Sep 28, 2026
AMZN6.987.950.97Sep 28, 2026
META4.795.460.67Sep 28, 2026
AVGO4.3950.61Sep 28, 2026
TSLA3.714.230.52Sep 28, 2026
LLY2.783.160.39Sep 28, 2026
AMD2.612.970.36Sep 28, 2026
JPM2.352.680.33Sep 28, 2026
WMT2.272.580.32Sep 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
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for cap_math, derived from the stored result.
ColumnTypeRangeNotes
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
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

More from this analysishow-dax-index-weights-are-calculated
dividend_gap ranking 8×4 → The 2s10s spread, every print of the half table 124×2 → The 2s10s spread, every print of the half table 124×2 → Every half-year since 1976: the 2y and 10y change, the twist between them, and the half's lowest 2s10s print table 100×7 → SPY at one-minute resolution, 2:00–3:30 pm ET on May 6, 2010 table 90×4 → IPO lockup calendar: priced US listings whose 180-day date falls in the next 90 days table 63×8 → See all 2,767 queries →