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Share of weekly volume by session window: seven household names, week of July 13, 2026

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 Can You Trade US Stocks 24 Hours a Day?.

as of ranking 7×4read in context →
Share of weekly volume by session window: seven household names, week of July 13, 2026 — 7 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerpremarket_pctcore_session_pctafter_hours_pct
SPY2.6486.7610.6
PG0.2594.035.73
NVDA3.2194.382.41
MSFT3.0794.432.51
AAPL1.6794.543.79
TSLA2.3896.131.49
KO0.8196.682.51
Rows × columns
7 × 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 Share of weekly volume by session window: seven household names, week of July 13, 2026, derived from the stored result.
ColumnTypeRangeNotes
ticker text 7 distinct values (AAPL, KO, MSFT…)
premarket_pct number 0.25 to 3.21 percent
core_session_pct number 86.76 to 96.68 percent
after_hours_pct number 1.49 to 10.6 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,
           toTimeZone(window_start, 'America/New_York') AS et,
           toFloat64(volume) AS shares
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'TSLA', 'SPY', 'KO', 'PG')
      AND window_start >= toDateTime('2026-07-13 08:00:00', 'UTC')
      AND window_start <  toDateTime('2026-07-18 00:00:00', 'UTC')
)
SELECT ticker,
       round(100 * sumIf(shares, toHour(et) * 60 + toMinute(et) < 570) / sum(shares), 2) AS premarket_pct,
       round(100 * sumIf(shares, toHour(et) * 60 + toMinute(et) BETWEEN 570 AND 959) / sum(shares), 2) AS core_session_pct,
       round(100 * sumIf(shares, toHour(et) * 60 + toMinute(et) >= 960) / sum(shares), 2) AS after_hours_pct
FROM bars
GROUP BY ticker
ORDER BY premarket_pct + after_hours_pct DESC

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