STRASMORE/EXPLORE 2,170 QUERIES

One minute of AAPL quotes, second by second, 09:30 ET on 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 2026-08-12, from PCAP Market Data: How Market Replay Works.

as of series 60×3read in context →
One minute of AAPL quotes, second by second, 09:30 ET on June 10 2026 — 60 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_timequote_countmedian_gap_us
09:30:0052848
09:30:0160328
09:30:0248323
09:30:0339118
09:30:0432623
09:30:0541526
09:30:0626015
09:30:07114180
09:30:0818248
09:30:0923329
09:30:1025742
09:30:117814
09:30:1219315
09:30:13269175
09:30:1415183
09:30:1520340
09:30:1610014
09:30:174514
09:30:18212103
09:30:1932627
09:30:209313
09:30:2130737
09:30:2253172
09:30:2310174
09:30:248028
09:30:2519322
09:30:2611919
09:30:27124188
09:30:289740
09:30:29338173
09:30:3011725
09:30:3122733
09:30:329521
09:30:3317650
09:30:3418914
09:30:35385174
09:30:36320173
09:30:3715022
09:30:38184177
09:30:3929717
09:30:4027514
09:30:4124115
09:30:4248120
09:30:4318714
09:30:4410416
09:30:457222
09:30:46149172
09:30:479514
09:30:484919
09:30:49102174
09:30:5093174
09:30:51141172
09:30:524814
09:30:5311520
09:30:5415915
09:30:5512916
09:30:5626622
09:30:57131192
09:30:5836181
09:30:59130174
Rows × columns
60 × 3
Period covered
to
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 One minute of AAPL quotes, second by second, 09:30 ET on June 10 2026, derived from the stored result.
ColumnTypeRangeNotes
et_time date 09:30:00 to 09:30:59
quote_count number 10 to 603 count
median_gap_us number 13 to 192

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
    formatDateTime(toStartOfSecond(toTimeZone(sip_timestamp, 'America/New_York')), '%H:%i:%S') AS et_time,
    count()                                            AS quote_count,
    round(quantileDeterministic(0.5)(gap_us, det), 0)  AS median_gap_us
FROM
(
    SELECT
        sip_timestamp,
        toUnixTimestamp64Micro(sip_timestamp) - toUnixTimestamp64Micro(participant_timestamp) AS gap_us,
        toUInt64(toUnixTimestamp64Micro(sip_timestamp))                                       AS det
    FROM global_markets.cache_stocks_quotes
    WHERE ticker = 'AAPL'
      AND sip_timestamp >= '2026-06-10 13:30:00'
      AND sip_timestamp <  '2026-06-10 13:31:00'
      AND participant_timestamp > '2020-01-01 00:00:00'
)
WHERE gap_us BETWEEN 0 AND 1000000
GROUP BY et_time
ORDER BY et_time

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