rank_gap

Name: rank_gap
Creator: Strasmore
Published: 2026-10-16
License: https://www.strasmore.com/terms/

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 2026-10-16, from dow-jones-nasdaq-share-price-for-indian-investors.

as of 2026-10-16 ranking 12×3read in context →

rank_gap — 12 rows by 3 columns, computed 2026-10-16 from US exchange, SIP and OPRA data.
ticker	size_rank	price_rank
NVDA	1	19
AAPL	2	8
MSFT	3	3
AMZN	4	13
WMT	5	25
JPM	6	10
V	7	6
JNJ	8	14
CSCO	9	27
CVX	10	18
KO	11	28
UNH	12	5

Rows × columns: 12 × 3
Computed: 2026-10-16
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 rank_gap, derived from the stored result.
Column	Type	Range	Notes
`ticker`	text	12 distinct values (AAPL, AMZN, CSCO…)
`size_rank`	number	1 to 12
`price_rank`	number	3 to 28	US dollars

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 2026-10-16, 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.

SELECT
    ticker,
    size_rank,
    price_rank
FROM
(
    SELECT
        d.ticker                                      AS ticker,
        row_number() OVER (ORDER BY r.mcap DESC)      AS size_rank,
        row_number() OVER (ORDER BY d.close_usd DESC) AS price_rank
    FROM
    (
        SELECT
            ticker,
            round(toFloat64(any(close)), 2) AS close_usd
        FROM global_markets.stocks_daily_aggs
        WHERE date = (SELECT max(date) FROM global_markets.stocks_daily_aggs WHERE ticker = 'SPY')
          AND ticker IN ('AAPL','AMGN','AMZN','AXP','BA','CAT','CRM','CSCO','CVX','DIS','GS','HD','HON','IBM','JNJ','JPM','KO','MCD','MMM','MRK','MSFT','NKE','NVDA','PG','SHW','TRV','UNH','V','VZ','WMT')
        GROUP BY ticker
    ) AS d
    INNER JOIN
    (
        SELECT
            ticker,
            toFloat64(argMax(market_cap, date)) AS mcap
        FROM global_markets.stocks_ratios
        WHERE date >= today() - 60
          AND ticker IN ('AAPL','AMGN','AMZN','AXP','BA','CAT','CRM','CSCO','CVX','DIS','GS','HD','HON','IBM','JNJ','JPM','KO','MCD','MMM','MRK','MSFT','NKE','NVDA','PG','SHW','TRV','UNH','V','VZ','WMT')
        GROUP BY ticker
        HAVING toFloat64(argMax(market_cap, date)) > 0
    ) AS r
      ON d.ticker = r.ticker
)
ORDER BY size_rank
LIMIT 12

SQL to run

SELECT
    ticker,
    size_rank,
    price_rank
FROM
(
    SELECT
        d.ticker                                      AS ticker,
        row_number() OVER (ORDER BY r.mcap DESC)      AS size_rank,
        row_number() OVER (ORDER BY d.close_usd DESC) AS price_rank
    FROM
    (
        SELECT
            ticker,
            round(toFloat64(any(close)), 2) AS close_usd
        FROM global_markets.stocks_daily_aggs
        WHERE date = (SELECT max(date) FROM global_markets.stocks_daily_aggs WHERE ticker = 'SPY')
          AND ticker IN ('AAPL','AMGN','AMZN','AXP','BA','CAT','CRM','CSCO','CVX','DIS','GS','HD','HON','IBM','JNJ','JPM','KO','MCD','MMM','MRK','MSFT','NKE','NVDA','PG','SHW','TRV','UNH','V','VZ','WMT')
        GROUP BY ticker
    ) AS d
    INNER JOIN
    (
        SELECT
            ticker,
            toFloat64(argMax(market_cap, date)) AS mcap
        FROM global_markets.stocks_ratios
        WHERE date >= today() - 60
          AND ticker IN ('AAPL','AMGN','AMZN','AXP','BA','CAT','CRM','CSCO','CVX','DIS','GS','HD','HON','IBM','JNJ','JPM','KO','MCD','MMM','MRK','MSFT','NKE','NVDA','PG','SHW','TRV','UNH','V','VZ','WMT')
        GROUP BY ticker
        HAVING toFloat64(argMax(market_cap, date)) > 0
    ) AS r
      ON d.ticker = r.ticker
)
ORDER BY size_rank
LIMIT 12

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