STRASMORE/EXPLORE 2,830 QUERIES

spread_by_hour

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 2026-09-30, from us-premarket-and-after-hours-philippine-time.

as of ranking 13×4read in context →
spread_by_hour — 13 rows by 4 columns, computed from US exchange, SIP and OPRA data.
labelavg_spread_bpsmedian_spread_bpsspread_vs_tightest_x
16:00 PHT7.4712.1
18:00 PHT7.27.311.7
19:00 PHT5.44.88.8
20:00 PHT5.34.88.6
21:00 PHT21.53.3
22:00 PHT1.21.22
23:00 PHT10.91.6
00:00 PHT0.80.91.3
01:00 PHT0.70.61.1
02:00 PHT0.60.61
03:00 PHT0.60.61.1
04:00 PHT4.53.97.3
06:00 PHT3.93.66.3
Rows × columns
13 × 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_hour, derived from the stored result.
ColumnTypeRangeNotes
label text 13 distinct values (00:00 PHT, 01:00 PHT, 02:00 PHT…)
avg_spread_bps number 0.6 to 7.4
median_spread_bps number 0.6 to 7.3
spread_vs_tightest_x number 1 to 12.1

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
    concat(leftPad(toString(toHour(toTimeZone(sip_timestamp, 'Asia/Manila'))), 2, '0'), ':00 PHT') AS label,
    round(avg(spread_bps), 1)                                 AS avg_spread_bps,
    round(quantileDeterministic(0.5)(spread_bps, seq), 1)      AS median_spread_bps,
    round(avg(spread_bps) / min(avg(spread_bps)) OVER (), 1)   AS spread_vs_tightest_x
FROM
(
    SELECT
        sip_timestamp,
        toUInt64(abs(sequence_number)) AS seq,
        toFloat64(ask_price - bid_price) / toFloat64(ask_price + bid_price) * 2 * 10000 AS spread_bps
    FROM global_markets.cache_stocks_quotes
    WHERE ticker = 'AAPL'
      AND sip_timestamp >= toDateTime('2026-09-15 08:00:00', 'UTC')
      AND sip_timestamp <  toDateTime('2026-09-16 00:30:00', 'UTC')
      AND bid_price > 0
      AND ask_price > bid_price
)
GROUP BY label
HAVING count() > 500
ORDER BY min(sip_timestamp)
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