Block-size prints vs the whole AAPL tape: July 6, 2026, with the session receipt

Name: Block-size prints vs the whole AAPL tape: July 6, 2026, with the session receipt
Creator: Strasmore
Published: 2026-07-26
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 2026-07-26, from What Is a Block Trade? Big Prints & the Data.

as of 2026-07-26 scalar 1×9read in context →

spy session bars jul06

390

total prints

967,733

block prints

block pct of prints

0.01

total volume m

53.6

block volume m

20.3

block pct of volume

37.8

median trade shares

median trade notional usd

1,568

Rows × columns: 1 × 9
Computed: 2026-07-26
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 Block-size prints vs the whole AAPL tape: July 6, 2026, with the session receipt, derived from the stored result.
Column	Type	Range	Notes
`spy_session_bars_jul06`	number	every row is 390
`total_prints`	number	every row is 967,733
`block_prints`	number	every row is 78
`block_pct_of_prints`	number	every row is 0.01	percent
`total_volume_m`	number	every row is 53.6	count
`block_volume_m`	number	every row is 20.3	count
`block_pct_of_volume`	number	every row is 37.8	percent
`median_trade_shares`	number	every row is 5	count
`median_trade_notional_usd`	number	every row is 1,568	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 2026-07-26, 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
    (
        SELECT countIf(window_start >= toDateTime('2026-07-06 09:30:00', 'America/New_York') AND window_start < toDateTime('2026-07-06 16:00:00', 'America/New_York'))
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'SPY' AND window_start >= toDateTime('2026-07-06 00:00:00', 'America/New_York') AND window_start < toDateTime('2026-07-07 00:00:00', 'America/New_York')
    ) AS bars_jul06
SELECT
    bars_jul06 AS spy_session_bars_jul06,
    count() AS total_prints,
    countIf(size >= 10000) AS block_prints,
    round(100.0 * countIf(size >= 10000) / count(), 2) AS block_pct_of_prints,
    round(toFloat64(sum(size)) / 1e6, 1) AS total_volume_m,
    round(toFloat64(sumIf(size, size >= 10000)) / 1e6, 1) AS block_volume_m,
    round(100.0 * toFloat64(sumIf(size, size >= 10000)) / toFloat64(sum(size)), 1) AS block_pct_of_volume,
    round(quantileDeterministic(0.5)(toFloat64(size), toUInt64(sip_timestamp))) AS median_trade_shares,
    round(quantileDeterministic(0.5)(toFloat64(size) * toFloat64(price), toUInt64(sip_timestamp))) AS median_trade_notional_usd
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
  AND sip_timestamp >= '2026-07-06 00:00:00' AND sip_timestamp < '2026-07-07 00:00:00'
  AND NOT hasAny(conditions, [15, 16, 38])

SQL to run

WITH
    (
        SELECT countIf(window_start >= toDateTime('2026-07-06 09:30:00', 'America/New_York') AND window_start < toDateTime('2026-07-06 16:00:00', 'America/New_York'))
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'SPY' AND window_start >= toDateTime('2026-07-06 00:00:00', 'America/New_York') AND window_start < toDateTime('2026-07-07 00:00:00', 'America/New_York')
    ) AS bars_jul06
SELECT
    bars_jul06 AS spy_session_bars_jul06,
    count() AS total_prints,
    countIf(size >= 10000) AS block_prints,
    round(100.0 * countIf(size >= 10000) / count(), 2) AS block_pct_of_prints,
    round(toFloat64(sum(size)) / 1e6, 1) AS total_volume_m,
    round(toFloat64(sumIf(size, size >= 10000)) / 1e6, 1) AS block_volume_m,
    round(100.0 * toFloat64(sumIf(size, size >= 10000)) / toFloat64(sum(size)), 1) AS block_pct_of_volume,
    round(quantileDeterministic(0.5)(toFloat64(size), toUInt64(sip_timestamp))) AS median_trade_shares,
    round(quantileDeterministic(0.5)(toFloat64(size) * toFloat64(price), toUInt64(sip_timestamp))) AS median_trade_notional_usd
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
  AND sip_timestamp >= '2026-07-06 00:00:00' AND sip_timestamp < '2026-07-07 00:00:00'
  AND NOT hasAny(conditions, [15, 16, 38])

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More from this analysisWhat Is a Block Trade? Big Prints & the Data

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