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How often the best quote changed, fifteen minute buckets, Sep 15 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 2026-10-05, from Can You Cancel a Limit Order Before It Fills.

as of series 26×3read in context →
How often the best quote changed, fifteen minute buckets, Sep 15 2026 — 26 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_timeaapl_quote_updates_per_secko_quote_updates_per_sec
09:3065.519.3
09:4544.424.2
10:0045.625.2
10:1533.722.3
10:303417.2
10:4537.520.3
11:0038.718.2
11:152513.9
11:3025.411.2
11:4527.812.9
12:0025.112.1
12:1524.214.5
12:3021.49.5
12:4520.911.1
13:0018.810.2
13:1517.68.8
13:30196.5
13:4518.16.4
14:0019.48.4
14:1519.86.2
14:3020.36.2
14:4520.45.9
15:0017.15.5
15:1520.85.4
15:3023.67.2
15:456616
Rows × columns
26 × 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 How often the best quote changed, fifteen minute buckets, Sep 15 2026, derived from the stored result.
ColumnTypeRangeNotes
et_time text 26 distinct values (09:30, 09:45, 10:00…)
aapl_quote_updates_per_sec number 17.1 to 66
ko_quote_updates_per_sec number 5.4 to 25.2

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
    formatDateTime(toStartOfFifteenMinutes(toTimeZone(sip_timestamp, 'America/New_York')), '%H:%i') AS et_time,
    round(countIf(ticker = 'AAPL') / 900, 1) AS aapl_quote_updates_per_sec,
    round(countIf(ticker = 'KO')   / 900, 1) AS ko_quote_updates_per_sec
FROM global_markets.cache_stocks_quotes
WHERE ticker IN ('AAPL', 'KO')
  AND sip_timestamp >= '2026-09-15 13:30:00'
  AND sip_timestamp <  '2026-09-15 20:00:00'
GROUP BY et_time
ORDER BY et_time
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More from this analysisCan You Cancel a Limit Order Before It Fills
SPY volume by fifteen minute bucket, Sep 15 2026 series 26×2 → Average gap between tape prints, regular session, Sep 15 2026 ranking 6×3 → AAPL print sizes, share of trades and share of volume, Sep 15 2026 ranking 5×3 → A real quote in motion: Apple's bid and ask by the minute, Sep 15 2026 series 15×4 → Average one-minute high-low range by time of day series 13×3 → NVDA's largest gap-down opens and the 30 minutes that followed series 8×3 → See all 3,094 queries →