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The 15 minute gap across six household tickers (June 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 2026-08-06, from Why Stock Quotes Are Delayed 15 Minutes.

as of ranking 6×3read in context →
The 15 minute gap across six household tickers (June 2026) — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickermedian_gap_pctp99_gap_pct
AMD0.3612.532
NVDA0.1981.254
MSFT0.1571.008
AAPL0.1470.982
KO0.1080.669
SPY0.0710.593
Rows × columns
6 × 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 The 15 minute gap across six household tickers (June 2026), derived from the stored result.
ColumnTypeRangeNotes
ticker text 6 distinct values (AAPL, AMD, KO…)
median_gap_pct number 0.071 to 0.361 percent
p99_gap_pct number 0.593 to 2.532 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
WITH regular_bars AS
(
    SELECT
        ticker,
        toTimeZone(window_start, 'America/New_York')                      AS et,
        toTimeZone(window_start, 'America/New_York') + INTERVAL 15 MINUTE AS et_later,
        toFloat64(close)                                                  AS px
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'KO', 'AAPL', 'MSFT', 'NVDA', 'AMD')
      AND close > 0
      AND window_start >= '2026-06-01 00:00:00'
      AND window_start <  '2026-07-01 00:00:00'
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
)
SELECT
    a.ticker                                                                                           AS ticker,
    round(quantileDeterministic(0.5)(abs(b.px / a.px - 1) * 100, toUInt64(toUnixTimestamp(a.et))), 3)   AS median_gap_pct,
    round(quantileDeterministic(0.99)(abs(b.px / a.px - 1) * 100, toUInt64(toUnixTimestamp(a.et))), 3)  AS p99_gap_pct
FROM regular_bars AS a
INNER JOIN regular_bars AS b ON b.ticker = a.ticker AND b.et = a.et_later
GROUP BY ticker
ORDER BY median_gap_pct DESC

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