STRASMORE/EXPLORE 2,549 QUERIES

intraday_volume_build

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 2026-09-24, from why-open-interest-updates-once-a-day.

as of series 13×3read in context →
intraday_volume_build — 13 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_timevolume_thousandscumulative_pct
09:30149.217
10:00107.929.3
10:3066.636.9
11:0065.344.4
11:3050.350.1
12:0076.858.9
12:306265.9
13:006873.7
13:3054.979.9
14:0044.285
14:3038.489.4
15:004394.3
15:3050.4100
Rows × columns
13 × 3
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 intraday_volume_build, derived from the stored result.
ColumnTypeRangeNotes
et_time text 13 distinct values (09:30, 10:00, 10:30…)
volume_thousands number 38.4 to 149.2 count
cumulative_pct number 17 to 100 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.

SELECT
    formatDateTime(bucket, '%H:%i')                          AS et_time,
    round(bucket_contracts / 1000, 1)                        AS volume_thousands,
    round(100 * cumulative_contracts / session_contracts, 1) AS cumulative_pct
FROM
(
    SELECT
        bucket,
        bucket_contracts,
        sum(bucket_contracts) OVER (ORDER BY bucket) AS cumulative_contracts,
        sum(bucket_contracts) OVER ()                AS session_contracts
    FROM
    (
        SELECT
            toStartOfInterval(toTimeZone(sip_timestamp, 'America/New_York'), INTERVAL 30 MINUTE) AS bucket,
            sum(size)                                                                           AS bucket_contracts
        FROM global_markets.options_trades
        WHERE underlying_symbol = 'AAPL'
          AND sip_timestamp >= '2026-06-16 08:00:00'
          AND sip_timestamp <  '2026-06-17 04:00:00'
        GROUP BY bucket
    )
)
ORDER BY et_time
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