STRASMORE/EXPLORE 3,256 QUERIES

AAPL quoted spread by time of day, premarket through late session

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 2026-10-09, from What Limit Price Should I Set on a Stock?.

as of series 26×3read in context →
AAPL quoted spread by time of day, premarket through late session — 26 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_timespread_centsspread_bps
04:0025.47.7
04:3021.526.5
05:0019.665.9
05:3019.595.9
06:0023.587.1
06:3024.187.3
07:0019.395.9
07:3015.084.6
08:0015.984.8
08:3019.355.8
09:0027.068.2
09:306.161.9
10:004.011.2
10:304.031.2
11:003.271
11:303.191
12:002.740.8
12:302.620.8
13:002.30.7
13:302.280.7
14:002.050.6
14:302.010.6
15:002.170.7
15:302.140.6
16:0016.154.9
16:309.923
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 AAPL quoted spread by time of day, premarket through late session, derived from the stored result.
ColumnTypeRangeNotes
et_time text 26 distinct values (04:00, 04:30, 05:00…)
spread_cents number 2.01 to 27.06
spread_bps number 0.6 to 8.2

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(toStartOfInterval(toTimeZone(sip_timestamp, 'America/New_York'), INTERVAL 30 MINUTE), '%H:%i') AS et_time,
    round(avg(toFloat64(ask_price) - toFloat64(bid_price)) * 100, 2) AS spread_cents,
    round(avg((toFloat64(ask_price) - toFloat64(bid_price))
              / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2)) * 10000, 1) AS spread_bps
FROM global_markets.cache_stocks_quotes
WHERE ticker = 'AAPL'
  AND sip_timestamp >= '2026-09-15 08:00:00'
  AND sip_timestamp <  '2026-09-15 21:00:00'
  AND bid_price > 0
  AND ask_price > bid_price
GROUP BY et_time
ORDER BY et_time
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

More from this analysisWhat Limit Price Should I Set on a Stock?
How many cents separate MSFT's bid and ask, by share of quotes ranking 8×3 → Average quoted spread across five household names, mid-session ranking 5×4 → Share of prints under 100 shares, same mid-session window ranking 5×4 → Minutes a session spends near its own low, five household names series 5×4 → Where one session of AAPL prints actually happened, by venue ranking 15×4 → Shares traded at KO's lowest price levels in one session ranking 8×3 → See all 3,256 queries →