The same twelve prints, ranked by venue clock and by tape clock
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 2026-08-14, from Market Data Timestamps: SIP vs Exchange Clocks.
| print_label | venue_clock_et | tape_clock_et | participant_rank | sip_rank | places_moved | sip_lag_delta_us |
|---|---|---|---|---|---|---|
| P06 | 10:44:17.160712 | 10:44:17.161018 | 6 | 12 | 6 | 305.7 |
| P07 | 10:44:17.160714 | 10:44:17.160999 | 7 | 6 | 1 | 284.4 |
| P08 | 10:44:17.160714 | 10:44:17.160999 | 8 | 7 | 1 | 284.5 |
| P09 | 10:44:17.160714 | 10:44:17.160999 | 9 | 8 | 1 | 284.7 |
| P10 | 10:44:17.160714 | 10:44:17.160999 | 10 | 9 | 1 | 284.9 |
| P11 | 10:44:17.160714 | 10:44:17.161008 | 11 | 10 | 1 | 293.4 |
| P12 | 10:44:17.160714 | 10:44:17.161008 | 12 | 11 | 1 | 293.5 |
| P01 | 10:44:17.160580 | 10:44:17.160595 | 1 | 1 | 0 | 14.9 |
| P02 | 10:44:17.160580 | 10:44:17.160598 | 2 | 2 | 0 | 17.6 |
| P03 | 10:44:17.160580 | 10:44:17.160598 | 3 | 3 | 0 | 17.7 |
| P04 | 10:44:17.160706 | 10:44:17.160900 | 4 | 4 | 0 | 193.7 |
| P05 | 10:44:17.160706 | 10:44:17.160900 | 5 | 5 | 0 | 193.8 |
- Rows × columns
- 12 × 7
- 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_label |
text | 12 distinct values (P01, P02, P03…) | |
venue_clock_et |
text | 4 distinct values | |
tape_clock_et |
text | 6 distinct values | |
participant_rank |
number | 1 to 12 | |
sip_rank |
number | 1 to 12 | |
places_moved |
number | 0 to 6 | |
sip_lag_delta_us |
number | 14.9 to 305.7 |
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
burst AS
(
SELECT intDiv(toUnixTimestamp64Nano(participant_timestamp), 10000000) AS slice_10ms
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
AND sip_timestamp >= '2026-06-10 14:30:00'
AND sip_timestamp < '2026-06-10 15:00:00'
AND ifNull(toUnixTimestamp64Nano(trf_timestamp), 0) = 0
GROUP BY slice_10ms
ORDER BY count() DESC, slice_10ms ASC
LIMIT 1
),
sample AS
(
SELECT
participant_timestamp,
sip_timestamp,
toUInt64(sequence_number) AS seq,
toUnixTimestamp64Nano(sip_timestamp)
- toUnixTimestamp64Nano(participant_timestamp) AS lag_ns
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
AND sip_timestamp >= '2026-06-10 14:30:00'
AND sip_timestamp < '2026-06-10 15:00:00'
AND ifNull(toUnixTimestamp64Nano(trf_timestamp), 0) = 0
AND intDiv(toUnixTimestamp64Nano(participant_timestamp), 10000000)
IN (SELECT slice_10ms FROM burst)
ORDER BY participant_timestamp ASC, seq ASC
LIMIT 12
),
ranked AS
(
SELECT
participant_timestamp,
sip_timestamp,
lag_ns,
row_number() OVER (ORDER BY participant_timestamp ASC, seq ASC) AS participant_rank,
row_number() OVER (ORDER BY sip_timestamp ASC, seq ASC) AS sip_rank
FROM sample
)
SELECT
concat('P', leftPad(toString(participant_rank), 2, '0')) AS print_label,
concat(formatDateTime(toTimeZone(participant_timestamp, 'America/New_York'), '%H:%i:%S'), '.',
leftPad(toString(intDiv(toUnixTimestamp64Nano(participant_timestamp) % 1000000000, 1000)), 6, '0')) AS venue_clock_et,
concat(formatDateTime(toTimeZone(sip_timestamp, 'America/New_York'), '%H:%i:%S'), '.',
leftPad(toString(intDiv(toUnixTimestamp64Nano(sip_timestamp) % 1000000000, 1000)), 6, '0')) AS tape_clock_et,
participant_rank,
sip_rank,
abs(toInt32(sip_rank) - toInt32(participant_rank)) AS places_moved,
round(lag_ns / 1000, 1) AS sip_lag_delta_us
FROM ranked
ORDER BY places_moved DESC, participant_rank ASC
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