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AAPL volume minute by minute, 3:00 to 4:00 p.m. ET, June 10, 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 2026-08-20, from How Block Trades Print on the Tape.

as of series 60×4read in context →
AAPL volume minute by minute, 3:00 to 4:00 p.m. ET, June 10, 2026 — 60 rows by 4 columns, computed from US exchange, SIP and OPRA data.
et_timetotal_volume_kblock_volume_kblock_pct
15:007200
15:0164.400
15:0272.900
15:0382.700
15:0477.300
15:0572.800
15:0676.200
15:076100
15:0881.300
15:0976.900
15:1088.500
15:11123.65040.5
15:1256.700
15:1353.400
15:1470.800
15:158400
15:165800
15:17112.800
15:1865.100
15:19103.800
15:20148.200
15:2191.300
15:22129.500
15:23141.631.622.3
15:2491.400
15:2598.400
15:26128.800
15:27105.600
15:2882.700
15:2984.200
15:3095.900
15:3198.700
15:3261.300
15:3380.300
15:3489.600
15:35108.124.422.5
15:3680.800
15:3760.800
15:3872.400
15:3949.100
15:4094.510.611.3
15:4196.700
15:4290.700
15:4393.900
15:4462.700
15:4585.200
15:4666.800
15:4761.800
15:4876.200
15:49146.55034.1
15:5032900
15:51142.400
15:52100.800
15:53177.800
15:54205.900
15:55514.8130.325.3
15:56242.600
15:57278.300
15:58352.200
15:59924.637.94.1
Rows × columns
60 × 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 AAPL volume minute by minute, 3:00 to 4:00 p.m. ET, June 10, 2026, derived from the stored result.
ColumnTypeRangeNotes
et_time text 60 distinct values (15:00, 15:01, 15:02…)
total_volume_k number 49.1 to 924.6 count
block_volume_k number 0 to 130.3 count
block_pct number 0 to 40.5 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(toTimeZone(minute, 'America/New_York'), '%H:%i') AS et_time,
    total_volume_k,
    block_volume_k,
    block_pct
FROM
(
    SELECT
        toStartOfMinute(sip_timestamp)                          AS minute,
        round(toFloat64(sum(size)) / 1000, 1)                   AS total_volume_k,
        round(toFloat64(sumIf(size, size >= 10000)) / 1000, 1)  AS block_volume_k,
        round(100 * toFloat64(sumIf(size, size >= 10000))
                  / toFloat64(sum(size)), 1)                    AS block_pct
    FROM global_markets.stocks_trades
    WHERE ticker = 'AAPL'
      AND sip_timestamp >= toDateTime('2026-06-10 19:00:00', 'UTC')
      AND sip_timestamp <  toDateTime('2026-06-10 20:00:00', 'UTC')
    GROUP BY minute
)
ORDER BY minute
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