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Trading during the Q1 2026 disclosure window, five household names

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 2026-08-06, from When Are 13F Filings Due? 2026 Deadlines.

as of ranking 5×4read in context →
Trading during the Q1 2026 disclosure window, five household names — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickersessionsvolume_millionsmove_pct
NVDA32400328
SPY321436.313
AAPL321032.418.2
MSFT32824.213
KO32314.76.1
Rows × columns
5 × 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 Trading during the Q1 2026 disclosure window, five household names, derived from the stored result.
ColumnTypeRangeNotes
ticker text 5 distinct values (AAPL, KO, MSFT…)
sessions number every row is 32
volume_millions number 314.7 to 4,003 count
move_pct number 6.1 to 28 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 
SELECT
    ticker,
    uniqExact(toDate(toTimeZone(window_start, 'America/New_York'))) AS sessions,
    round(sum(volume) / 1e6, 1)                                     AS volume_millions,
    round(100 * ((toFloat64(argMax(close, window_start))
                  / toFloat64(argMin(open, window_start))) - 1), 1) AS move_pct
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('NVDA', 'AAPL', 'MSFT', 'SPY', 'KO')
  AND window_start >= '2026-04-01'
  AND window_start <  '2026-05-16'
  AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
       + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
  AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
       + toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
GROUP BY ticker
ORDER BY volume_millions DESC

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