STRASMORE/EXPLORE 2,707 QUERIES

Median quoted spread by clock hour, one symbol, one 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 2026-09-27, from Tradegate vs Xetra: Hours and Prices.

as of series 16×4read in context →
Median quoted spread by clock hour, one symbol, one session — 16 rows by 4 columns, computed from US exchange, SIP and OPRA data.
et_timemedian_spread_bpsregular_hours_median_bpsquote_count
04:0013.761.031478
05:007.231.032069
06:009.31.03518
07:0012.411.032204
08:0012.051.033486
09:001.381.03221100
10:001.041.03278714
11:001.381.03307205
12:001.031.03268189
13:001.021.03249935
14:000.681.03173988
15:000.681.03231589
16:006.511.031321
17:005.831.03340
18:008.941.031106
19:0015.151.031099
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 Median quoted spread by clock hour, one symbol, one session, derived from the stored result.
ColumnTypeRangeNotes
et_time text 16 distinct values (04:00, 05:00, 06:00…)
median_spread_bps number 0.68 to 15.15
regular_hours_median_bps number every row is 1.03
quote_count number 340 to 307,205 count

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 round(quantileDeterministic(0.5)(
                   10000 * (toFloat64(ask_price) - toFloat64(bid_price))
                   / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2),
                   toUInt64(sequence_number)), 2)
        FROM global_markets.cache_stocks_quotes
        WHERE ticker = 'AAPL'
          AND sip_timestamp >= toDateTime('2026-06-10 13:30:00')
          AND sip_timestamp <  toDateTime('2026-06-10 20:00:00')
          AND bid_price > 0
          AND ask_price > bid_price
          AND sequence_number > 0
    ) AS regular_session_median
SELECT
    formatDateTime(toStartOfHour(toTimeZone(sip_timestamp, 'America/New_York')), '%H:%i') AS et_time,
    round(quantileDeterministic(0.5)(
        10000 * (toFloat64(ask_price) - toFloat64(bid_price))
        / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2),
        toUInt64(sequence_number)), 2) AS median_spread_bps,
    regular_session_median   AS regular_hours_median_bps,
    count()                  AS quote_count
FROM global_markets.cache_stocks_quotes
WHERE ticker = 'AAPL'
  AND sip_timestamp >= toDateTime('2026-06-10 08:00:00')
  AND sip_timestamp <  toDateTime('2026-06-11 00:00:00')
  AND bid_price > 0
  AND ask_price > bid_price
  AND sequence_number > 0
GROUP BY et_time
ORDER BY et_time
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