STRASMORE/EXPLORE 2,170 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 2026-08-01, 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
04:000.230.15
04:300.040.03
05:000.050.03
05:300.050.03
06:000.050.02
06:300.060.03
07:000.280.07
07:300.210.08
08:000.280.09
08:300.430.11
09:000.430.31
09:308.914.18
10:006.187.66
10:305.027.07
11:004.516.03
11:305.664.93
12:004.184.52
12:303.974.47
13:004.243.83
13:304.263.86
14:005.024.89
14:305.45.05
15:006.966.23
15:3018.0619.51
16:0013.526.54
16:300.910.09
17:000.360.12
17:300.280.02
18:000.170.01
18:300.110.02
19:000.10.02
19:300.070.02
Rows × columns
32 × 3
Period covered
to
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 date 04:00 to 19:30
spy_share_pct number 0.04 to 18.06 percent
ko_share_pct number 0.01 to 19.51 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.

the exact SQL behind every number
WITH bars AS (
    SELECT ticker,
           toStartOfInterval(toTimeZone(window_start, 'America/New_York'), INTERVAL 30 MINUTE) AS et_bucket,
           volume
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'KO')
      AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2026-06-01')
      AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2026-06-30')
),
totals AS (
    SELECT sumIf(volume, ticker = 'SPY') AS spy_total,
           sumIf(volume, ticker = 'KO') AS ko_total
    FROM bars
)
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 bars AS b
CROSS JOIN totals AS t
GROUP BY et_time
ORDER BY et_time

Run your own version of this

The same 22 years of US equities and 12 years of options data are queryable in SQL or plain English. A free account runs 100 queries a day and takes no card.

More from this analysisMarket Data Skills for AI Agents
Trading sessions per month: SPY bars, July 2025 through June 2026 series 12×4 Minute bars per session: nine widely held names, June 2026 series 9×4 One company, two tickers: share class volume split, June 2026 ranking 6×4 One week of the US minute tape: symbols and bars per session, Jul 20-24, 2026 series 5×4 Survivorship, measured: March cohorts of US symbols still trading in late July 2026 table 10×5 Who left the tape: March 2021 symbols by daily dollar volume, checked against late July 2026 ranking 5×4 See all 2,170 queries →