STRASMORE/EXPLORE 3,256 QUERIES

Where the volume sits: share of June 2026 volume by half hour, New York time

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 2026-09-28, from Market Data Skills for AI Agents.

as of series 32×3read in context →
Where the volume sits: share of June 2026 volume by half hour, New York time — 32 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_timespy_share_pctko_share_pct
04:000.220.1
04:300.040.02
05:000.050.02
05:300.050.02
06:000.050.02
06:300.060.02
07:000.260.05
07:300.190.06
08:000.270.06
08:300.410.11
09:000.40.63
09:308.659.36
10:005.845.17
10:304.774.66
11:004.293.98
11:305.573.25
12:004.282.98
12:303.752.95
13:004.022.55
13:304.032.59
14:004.753.22
14:305.143.33
15:006.584.11
15:3017.1112.87
16:0016.2835.75
16:300.950.82
17:001.120.79
17:300.430.32
18:000.160.08
18:300.10.04
19:000.10.02
19:300.070.02
Rows × columns
32 × 3
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 Where the volume sits: share of June 2026 volume by half hour, New York time, derived from the stored result.
ColumnTypeRangeNotes
et_time text 32 distinct values (04:00, 04:30, 05:00…)
spy_share_pct number 0.04 to 17.11 percent
ko_share_pct number 0.02 to 35.75 percent

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 trades AS (
    SELECT ticker,
           toStartOfInterval(toTimeZone(sip_timestamp, 'America/New_York'), INTERVAL 30 MINUTE) AS et_bucket,
           toFloat64(size) AS volume
    FROM global_markets.stocks_trades
    WHERE ticker IN ('SPY', 'KO')
      AND sip_timestamp >= toDateTime('2026-06-01 04:00:00', 'UTC')
      AND sip_timestamp <  toDateTime('2026-07-01 04:00:00', 'UTC')
      AND toHour(toTimeZone(sip_timestamp, 'America/New_York')) BETWEEN 4 AND 19
      AND NOT hasAny(conditions, [15, 16, 38])
),
totals AS (
    SELECT sumIf(volume, ticker = 'SPY') AS spy_total,
           sumIf(volume, ticker = 'KO') AS ko_total
    FROM trades
)
SELECT formatDateTime(b.et_bucket, '%H:%i') AS et_time,
       round(100 * sumIf(b.volume, b.ticker = 'SPY') / any(t.spy_total), 2) AS spy_share_pct,
       round(100 * sumIf(b.volume, b.ticker = 'KO') / any(t.ko_total), 2) AS ko_share_pct
FROM trades AS b
CROSS JOIN totals AS t
GROUP BY et_time
ORDER BY et_time
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