STRASMORE/EXPLORE 2,170 QUERIES

How often the last price changes, minute by minute (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 →
How often the last price changes, minute by minute (June 2026) — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickerminutes_price_moved_pctmedian_move_bps
AMD99.89.6
MSFT99.34
AAPL98.73.8
NVDA98.75.3
SPY98.51.9
KO94.12.5
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 How often the last price changes, minute by minute (June 2026), derived from the stored result.
ColumnTypeRangeNotes
ticker text 6 distinct values (AAPL, AMD, KO…)
minutes_price_moved_pct number 94.1 to 99.8 percent
median_move_bps number 1.9 to 9.6

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.

the exact SQL behind every number
WITH regular_bars AS
(
    SELECT
        ticker,
        toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
        toTimeZone(window_start, 'America/New_York')         AS et,
        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
),
stepped AS
(
    SELECT
        ticker,
        et,
        px,
        lagInFrame(px) OVER (PARTITION BY ticker, session_date ORDER BY et
                             ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_px
    FROM regular_bars
)
SELECT
    ticker,
    round(100 * countIf(px != prev_px) / count(), 1)                                                       AS minutes_price_moved_pct,
    round(quantileDeterministic(0.5)(abs(px / prev_px - 1) * 10000, toUInt64(toUnixTimestamp(et))), 1)      AS median_move_bps
FROM stepped
WHERE prev_px > 0
GROUP BY ticker
HAVING count() > 0
ORDER BY minutes_price_moved_pct DESC

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