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 2026-09-28, from Can You Trade US Stocks 24 Hours a Day?.
| ticker | premarket_pct | core_session_pct | after_hours_pct |
|---|---|---|---|
| SPY | 2.54 | 86.63 | 10.83 |
| PG | 0.21 | 86.84 | 12.94 |
| MSFT | 2.47 | 89.87 | 7.67 |
| KO | 0.88 | 90.03 | 9.08 |
| NVDA | 2.71 | 91.71 | 5.58 |
| AAPL | 1.38 | 92.25 | 6.38 |
| TSLA | 2.17 | 94.28 | 3.55 |
- Rows × columns
- 7 × 4
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
ticker |
text | 7 distinct values (AAPL, KO, MSFT…) | |
premarket_pct |
number | 0.21 to 2.71 | percent |
core_session_pct |
number | 86.63 to 94.28 | percent |
after_hours_pct |
number | 3.55 to 12.94 | 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,
toTimeZone(sip_timestamp, 'America/New_York') AS et,
has(conditions, 8) AS is_close,
toFloat64(size) AS shares
FROM global_markets.stocks_trades
WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'TSLA', 'SPY', 'KO', 'PG')
AND sip_timestamp >= toDateTime('2026-07-13 08:00:00', 'UTC')
AND sip_timestamp < toDateTime('2026-07-18 00:00:00', 'UTC')
AND NOT hasAny(conditions, [15, 16, 38])
)
SELECT ticker,
round(100 * sumIf(shares, NOT is_close AND toHour(et) * 60 + toMinute(et) < 570) / sum(shares), 2) AS premarket_pct,
round(100 * sumIf(shares, is_close OR toHour(et) * 60 + toMinute(et) BETWEEN 570 AND 959) / sum(shares), 2) AS core_session_pct,
round(100 * sumIf(shares, NOT is_close AND toHour(et) * 60 + toMinute(et) >= 960) / sum(shares), 2) AS after_hours_pct
FROM trades
GROUP BY ticker
ORDER BY premarket_pct + after_hours_pct DESC
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