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Top of book messages against prints on the tape, 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 2026-08-12, from How to Estimate Queue Position From L2 Data.

as of series 8×4read in context →
Top of book messages against prints on the tape, AAPL, June 10 2026 — 8 rows by 4 columns, computed from US exchange, SIP and OPRA data.
et_timequote_updatestradesupdates_per_trade
08:00349042670.8
09:002218191414301.6
10:002798981952681.4
11:003078551623801.9
12:002688151121232.4
13:00251012955822.6
14:00174920953191.8
15:002334331493031.6
Rows × columns
8 × 4
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 Top of book messages against prints on the tape, AAPL, June 10 2026, derived from the stored result.
ColumnTypeRangeNotes
et_time text 8 distinct values (08:00, 09:00, 10:00…)
quote_updates number 3,490 to 307,855
trades number 4,267 to 195,268 count
updates_per_trade number 0.8 to 2.6

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.

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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
    q.et_time                            AS et_time,
    q.quote_updates                      AS quote_updates,
    t.trades                             AS trades,
    round(q.quote_updates / t.trades, 1) AS updates_per_trade
FROM
(
    SELECT
        formatDateTime(toStartOfHour(toTimeZone(sip_timestamp, 'America/New_York')), '%H:%i') AS et_time,
        count() AS quote_updates
    FROM global_markets.cache_stocks_quotes
    WHERE ticker = 'AAPL'
      AND sip_timestamp >= '2026-06-10 12:00:00'
      AND sip_timestamp <  '2026-06-10 20:00:00'
    GROUP BY et_time
) AS q
INNER JOIN
(
    SELECT
        formatDateTime(toStartOfHour(toTimeZone(sip_timestamp, 'America/New_York')), '%H:%i') AS trade_hour,
        count() AS trades
    FROM global_markets.stocks_trades
    WHERE ticker = 'AAPL'
      AND sip_timestamp >= '2026-06-10 12:00:00'
      AND sip_timestamp <  '2026-06-10 20:00:00'
    GROUP BY trade_hour
) AS t ON q.et_time = t.trade_hour
ORDER BY et_time
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