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What a 10% participation order on AAPL could fill each half hour, August 12, 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 2026-09-28, from TWAP vs VWAP vs POV Orders Explained.

as of series 13×4read in context →
What a 10% participation order on AAPL could fill each half hour, August 12, 2026 — 13 rows by 4 columns, computed from US exchange, SIP and OPRA data.
et_timeaapl_volume_millionspov_child_fill_k_sharesshare_of_total_pct
09:303.8238210.6
10:002.82807.8
10:302.52506.9
11:002.352356.5
11:301.961965.4
12:001.621624.5
12:301.371373.8
13:001.221223.4
13:301.61604.4
14:001.511514.2
14:302.732737.5
15:001.931935.3
15:3010.74107429.7
Rows × columns
13 × 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 What a 10% participation order on AAPL could fill each half hour, August 12, 2026, derived from the stored result.
ColumnTypeRangeNotes
et_time text 13 distinct values (09:30, 10:00, 10:30…)
aapl_volume_millions number 1.22 to 10.74 count
pov_child_fill_k_shares number 122 to 1,074 count
share_of_total_pct number 3.4 to 29.7 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.

WITH bars AS
(
    SELECT
        toDate(toTimeZone(window_start, 'America/New_York'))           AS et_date,
        toHour(toTimeZone(window_start, 'America/New_York')) * 60
            + toMinute(toTimeZone(window_start, 'America/New_York'))   AS minute_of_day,
        toFloat64(volume)                                              AS shares
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'AAPL'
      AND window_start >= toDateTime('2026-08-12 00:00:00', 'America/New_York')
      AND window_start <  toDateTime('2026-08-13 00:00:00', 'America/New_York')
    UNION ALL
    SELECT
        toDate(toTimeZone(sip_timestamp, 'America/New_York'))          AS et_date,
        959                                                            AS minute_of_day,
        toFloat64(maxIf(size, has(conditions, 8)))                     AS shares
    FROM global_markets.stocks_trades
    WHERE ticker = 'AAPL'
      AND sip_timestamp >= toDateTime('2026-08-12 00:00:00', 'America/New_York')
      AND sip_timestamp <  toDateTime('2026-08-13 00:00:00', 'America/New_York')
      AND toHour(sip_timestamp, 'America/New_York') IN (13, 16)
      AND toMinute(sip_timestamp, 'America/New_York') < 10
    GROUP BY et_date
    HAVING countIf(has(conditions, 8)) > 0
),
buckets AS
(
    SELECT
        formatDateTime(toDateTime(intDiv(minute_of_day, 30) * 30 * 60, 'UTC'), '%H:%i') AS et_time,
        sum(shares)                                                                 AS bucket_shares
    FROM bars
    WHERE minute_of_day >= 570
      AND minute_of_day <  960
    GROUP BY et_time
)
SELECT
    b.et_time                                        AS et_time,
    round(b.bucket_shares / 1e6, 2)                  AS aapl_volume_millions,
    toUInt32(round(b.bucket_shares * 0.10 / 1e3))    AS pov_child_fill_k_shares,
    round(100 * b.bucket_shares / t.day_shares, 1)   AS share_of_total_pct
FROM buckets AS b
CROSS JOIN
(
    SELECT sum(bucket_shares) AS day_shares
    FROM buckets
) AS t
ORDER BY et_time
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