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How US share volume concentrates across symbols, May 2026

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 2026-08-11, from Quote-Driven vs Order-Driven Markets.

as of ranking 5×4read in context →
How US share volume concentrates across symbols, May 2026 — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
adv_bucketlisting_countshare_of_listings_pctshare_of_volume_pct
under 10k290922.80.1
10k to 100k368828.90.8
100k to 1M348827.37.7
1M to 10M232918.340.8
over 10M3462.750.6
Rows × columns
5 × 4
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 How US share volume concentrates across symbols, May 2026, derived from the stored result.
ColumnTypeRangeNotes
adv_bucket text 5 distinct values (100k to 1M, 10k to 100k, 1M to 10M…)
listing_count number 346 to 3,688 count
share_of_listings_pct number 2.7 to 28.9 percent
share_of_volume_pct number 0.1 to 50.6 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.

the exact SQL behind every number
WITH
daily AS
(
    SELECT
        ticker,
        date,
        max(toFloat64(volume)) AS shares
    FROM global_markets.stocks_daily_aggs
    WHERE date >= '2026-05-01'
      AND date <  '2026-06-01'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker, date
),
per_symbol AS
(
    SELECT
        ticker,
        avg(shares) AS adv,
        sum(shares) AS month_shares
    FROM daily
    GROUP BY ticker
    HAVING adv > 0
),
buckets AS
(
    SELECT
        multiIf(adv <    10000, 'under 10k',
                adv <   100000, '10k to 100k',
                adv <  1000000, '100k to 1M',
                adv < 10000000, '1M to 10M',
                                'over 10M') AS adv_bucket,
        min(adv)                            AS bucket_floor,
        count()                             AS listings,
        sum(month_shares)                   AS bucket_shares
    FROM per_symbol
    GROUP BY adv_bucket
),
totals AS
(
    SELECT
        count()           AS all_listings,
        sum(month_shares) AS all_shares
    FROM per_symbol
)
SELECT
    b.adv_bucket                                        AS adv_bucket,
    b.listings                                          AS listing_count,
    round(100 * b.listings / t.all_listings, 1)          AS share_of_listings_pct,
    round(100 * b.bucket_shares / t.all_shares, 1)       AS share_of_volume_pct
FROM buckets AS b
CROSS JOIN totals AS t
ORDER BY b.bucket_floor

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