STRASMORE/EXPLORE 3,094 QUERIES

Execution-to-tape lag by print size, AAPL, 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 ranking 4×3read in context →
Execution-to-tape lag by print size, AAPL, June 10, 2026 — 4 rows by 3 columns, computed from US exchange, SIP and OPRA data.
print_sizep99_lag_msover_1s_pct
under 1,00014341.17
1,000 to 4,9999960.96
5,000 to 9,9999950
10,000 and up18431.14
Rows × columns
4 × 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 Execution-to-tape lag by print size, AAPL, June 10, 2026, derived from the stored result.
ColumnTypeRangeNotes
print_size text 4 distinct values
p99_lag_ms number 995 to 1,843
over_1s_pct number 0 to 1.17 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
    multiIf(size < 1000,  'under 1,000',
            size < 5000,  '1,000 to 4,999',
            size < 10000, '5,000 to 9,999',
                          '10,000 and up')                        AS print_size,
    round(quantileExact(0.99)(
        toFloat64(dateDiff('millisecond', participant_timestamp, sip_timestamp))
    ), 0)                                                         AS p99_lag_ms,
    round(100 * countIf(dateDiff('millisecond', participant_timestamp, sip_timestamp) >= 1000)
              / count(), 2)                                       AS over_1s_pct
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
  AND sip_timestamp >= toDateTime('2026-06-10 00:00:00', 'UTC')
  AND sip_timestamp <  toDateTime('2026-06-11 00:00:00', 'UTC')
  AND participant_timestamp >= toDateTime('2026-06-10 00:00:00', 'UTC')
  AND participant_timestamp <= sip_timestamp
GROUP BY print_size
ORDER BY min(size)
⌘/Ctrl + Enter

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