STRASMORE/EXPLORE 3,214 QUERIES

AAPL quoted spread by ET hour, 15 September 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 2026-10-08, from Primary Peg vs Market Peg Orders Explained.

as of series 16×2read in context →
AAPL quoted spread by ET hour, 15 September 2026 — 16 rows by 2 columns, computed from US exchange, SIP and OPRA data.
et_timespread_cents
04:0024.53
05:0019.62
06:0023.8
07:0017.83
08:0017.41
09:006.7
10:004.02
11:003.23
12:002.68
13:002.29
14:002.03
15:002.15
16:0014.8
17:0010.75
18:0012.85
19:0010.32
Rows × columns
16 × 2
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 ET hour, 15 September 2026, derived from the stored result.
ColumnTypeRangeNotes
et_time text 16 distinct values (04:00, 05:00, 06:00…)
spread_cents number 2.03 to 24.53

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(toStartOfHour(toTimeZone(sip_timestamp, 'America/New_York')), '%H:%i') AS et_time,
    round(avg(toFloat64(ask_price) - toFloat64(bid_price)) * 100, 2) AS spread_cents
FROM global_markets.cache_stocks_quotes
WHERE ticker = 'AAPL'
  AND sip_timestamp >= '2026-09-15 08:00:00'
  AND sip_timestamp <  '2026-09-16 00:00:00'
  AND bid_price > 0
  AND ask_price > bid_price
GROUP BY et_time
ORDER BY et_time
⌘/Ctrl + Enter

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