STRASMORE/EXPLORE 3,094 QUERIES

AAPL quoted spread and top-of-book size by hour, 16 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 2026-10-05, from US Premarket and After-Hours in Israel Time.

as of ranking 16×4read in context →
AAPL quoted spread and top-of-book size by hour, 16 September 2026 — 16 rows by 4 columns, computed from US exchange, SIP and OPRA data.
new_york_hourisrael_houravg_spread_bpsavg_top_of_book_size
04:0011:009.01259
05:0012:008.81218
06:0013:007.6190
07:0014:006.4270
08:0015:004.21238
09:0016:002.22247
10:0017:001.36228
11:0018:001.13233
12:0019:000.93269
13:0020:000.79388
14:0021:001.32263
15:0022:001.11296
16:0023:004.48458
17:0000:003.38182
18:0001:008.15610
19:0002:006.69157
Rows × columns
16 × 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 and top-of-book size by hour, 16 September 2026, derived from the stored result.
ColumnTypeRangeNotes
new_york_hour text 16 distinct values (04:00, 05:00, 06:00…)
israel_hour text 16 distinct values (00:00, 01:00, 02:00…)
avg_spread_bps number 0.79 to 9.01
avg_top_of_book_size number 157 to 610

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 new_york_hour,
    formatDateTime(toStartOfHour(toTimeZone(sip_timestamp, 'Asia/Jerusalem')), '%H:%i')   AS israel_hour,
    round(avg(20000 * toFloat64(ask_price - bid_price) / toFloat64(ask_price + bid_price)), 2) AS avg_spread_bps,
    round(avg(toFloat64(bid_size + ask_size)), 0)                                         AS avg_top_of_book_size
FROM global_markets.cache_stocks_quotes
WHERE ticker = 'AAPL'
  AND sip_timestamp >= toDateTime('2026-09-16 08:00:00', 'UTC')
  AND sip_timestamp <  toDateTime('2026-09-17 00:00:00', 'UTC')
  AND bid_price > 0
  AND ask_price > bid_price
GROUP BY new_york_hour, israel_hour
ORDER BY new_york_hour
⌘/Ctrl + Enter

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