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.
| print_size | p99_lag_ms | over_1s_pct |
|---|---|---|
| under 1,000 | 1434 | 1.17 |
| 1,000 to 4,999 | 996 | 0.96 |
| 5,000 to 9,999 | 995 | 0 |
| 10,000 and up | 1843 | 1.14 |
- Rows × columns
- 4 × 3
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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.
the exact SQL behind every number
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)
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