STRASMORE/EXPLORE 2,830 QUERIES

AAPL average quoted spread by half-hour (ET), one extended 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 2026-09-26, from How Do Market Makers Make Money? The Spread.

as of series 32×2read in context →
AAPL average quoted spread by half-hour (ET), one extended session — 32 rows by 2 columns, computed from US exchange, SIP and OPRA data.
et_timeavg_spread_cents
04:0030.8
04:3031.3
05:0023.6
05:3029.9
06:0028.8
06:3022.6
07:0018.7
07:3014.1
08:0020.1
08:3015.7
09:0026.9
09:308.7
10:004.7
10:303.7
11:003.9
11:303.2
12:004.3
12:304
13:004.5
13:303.5
14:003.3
14:303.2
15:002.9
15:302.3
16:0020.8
16:3023.5
17:0017.1
17:3011.6
18:0015.9
18:3012.4
19:008.8
19:3027.3
Rows × columns
32 × 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 average quoted spread by half-hour (ET), one extended session, derived from the stored result.
ColumnTypeRangeNotes
et_time text 32 distinct values (04:00, 04:30, 05:00…)
avg_spread_cents number 2.3 to 31.3

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.

WITH (
  SELECT max(toDate(sip_timestamp))
  FROM global_markets.cache_stocks_quotes
  WHERE ticker = 'AAPL' AND sip_timestamp >= now() - INTERVAL 7 DAY
) AS last_session
SELECT
  formatDateTime(toStartOfInterval(toTimeZone(sip_timestamp, 'America/New_York'), INTERVAL 30 MINUTE), '%H:%i') AS et_time,
  round(avg(ask_price - bid_price) * 100, 1) AS avg_spread_cents
FROM global_markets.cache_stocks_quotes
WHERE ticker = 'AAPL'
  AND sip_timestamp >= now() - INTERVAL 7 DAY
  AND toDate(sip_timestamp) = last_session
  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 analysisHow Do Market Makers Make Money? The Spread
AAPL trades by venue, latest session: off-exchange first ranking 19×4 → Average quoted spread: liquid mega-caps vs a thin small-cap (past week) ranking 3×4 → US stock venues: public exchanges vs off-exchange reporting facilities ranking 2×3 → AAPL: NBBO quote updates on the latest session scalar 1×4 → AAPL median quoted spread by 30-minute bucket (ET, extended hours included) series 32×2 → Quoted spread through one session, AAPL and KO, July 16 2026 series 26×3 → See all 2,830 queries →