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AAPL quoted spread by New York clock hour, July 14, 2026: median and 90th percentile minute

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 2026-08-01, from Can You Trade US Stocks 24 Hours a Day?.

as of ranking 7×4read in context →
AAPL quoted spread by New York clock hour, July 14, 2026: median and 90th percentile minute — 7 rows by 4 columns, computed from US exchange, SIP and OPRA data.
et_hourquoted_minute_countmedian_spread_bpsp90_spread_bps
18:005010.2513.98
04:00607.611.43
16:00507.5211.74
08:00605.7210.62
10:00601.761.98
12:00601.091.27
14:00600.851.04
Rows × columns
7 × 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 AAPL quoted spread by New York clock hour, July 14, 2026: median and 90th percentile minute, derived from the stored result.
ColumnTypeRangeNotes
et_hour text 7 distinct values (04:00, 08:00, 10:00…)
quoted_minute_count number 50 to 60 count
median_spread_bps number 0.85 to 10.25
p90_spread_bps number 1.04 to 13.98

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 per_minute AS (
    SELECT toStartOfMinute(toTimeZone(sip_timestamp, 'America/New_York')) AS et_minute,
           avg((toFloat64(ask_price) - toFloat64(bid_price))
               / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2)) * 10000 AS avg_spread_bps
    FROM global_markets.cache_stocks_quotes
    WHERE ticker = 'AAPL'
      AND sip_timestamp >= toDateTime('2026-07-14 08:00:00', 'UTC')
      AND sip_timestamp <  toDateTime('2026-07-15 00:00:00', 'UTC')
      AND bid_price > 0
      AND ask_price > bid_price
      AND toHour(toTimeZone(sip_timestamp, 'America/New_York')) IN (4, 8, 10, 12, 14, 16, 18)
    GROUP BY et_minute
)
SELECT formatDateTime(et_minute, '%H:00') AS et_hour,
       count() AS quoted_minute_count,
       round(quantileDeterministic(0.5)(avg_spread_bps, cityHash64(et_minute)), 2) AS median_spread_bps,
       round(quantileDeterministic(0.9)(avg_spread_bps, cityHash64(et_minute)), 2) AS p90_spread_bps
FROM per_minute
GROUP BY et_hour
HAVING count() >= 5
ORDER BY median_spread_bps DESC

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