STRASMORE/EXPLORE 2,985 QUERIES

spread_by_clock

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 2026-10-03, from why-stop-orders-fill-below-the-stop-price.

as of series 27×4read in context →
spread_by_clock — 27 rows by 4 columns, computed from US exchange, SIP and OPRA data.
et_timemedian_spread_bpsspread_vs_day_medianmedian_quoted_size
05:0043.8338.76200
09:302.262600
09:451.131600
10:001.131700
10:151.131700
10:301.131700
10:451.131800
11:001.131900
11:151.131800
11:301.131800
11:451.131900
12:001.1311000
12:151.131900
12:301.131900
12:451.131900
13:001.131900
13:151.131900
13:301.1311000
13:451.1311000
14:001.1311000
14:151.1311000
14:301.1311100
14:451.1311100
15:001.1311300
15:151.1311400
15:301.1311400
15:451.1312000
Rows × columns
27 × 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 spread_by_clock, derived from the stored result.
ColumnTypeRangeNotes
et_time text 27 distinct values (05:00, 09:30, 09:45…)
median_spread_bps number 1.13 to 43.83
spread_vs_day_median number 1 to 38.76
median_quoted_size number 200 to 2,000

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 quotes AS
(
    SELECT
        toStartOfInterval(toTimeZone(sip_timestamp, 'America/New_York'), INTERVAL 15 MINUTE) AS et_bucket,
        toFloat64(ask_price - bid_price) / toFloat64(ask_price) * 10000 AS spread_bps,
        toFloat64(bid_size + ask_size)                                  AS quoted_size,
        toUInt64(sequence_number)                                       AS det
    FROM global_markets.cache_stocks_quotes
    WHERE ticker = 'KO'
      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
)
SELECT
    formatDateTime(et_bucket, '%H:%i')                      AS et_time,
    round(quantileDeterministic(0.5)(spread_bps, det), 2)   AS median_spread_bps,
    round(quantileDeterministic(0.5)(spread_bps, det)
          / (SELECT quantileDeterministic(0.5)(spread_bps, det) FROM quotes), 2) AS spread_vs_day_median,
    round(quantileDeterministic(0.5)(quoted_size, det), 0)  AS median_quoted_size
FROM quotes
GROUP BY et_bucket
HAVING count() > 200
ORDER BY et_bucket
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