STRASMORE/EXPLORE 3,214 QUERIES

session_share

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 2026-10-08, from us-premarket-and-after-hours-india-time.

as of ranking 4×4read in context →
session_share — 4 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerpremarket_pctregular_pctafterhours_pct
AAPL1.88993.6244.487
KO0.7992.7056.505
MSFT2.67892.0645.258
NVDA4.35189.9565.693
Rows × columns
4 × 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 session_share, derived from the stored result.
ColumnTypeRangeNotes
ticker text 4 distinct values (AAPL, KO, MSFT…)
premarket_pct number 0.79 to 4.351 percent
regular_pct number 89.956 to 93.624 percent
afterhours_pct number 4.487 to 6.505 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 bars AS
(
    SELECT
        ticker,
        (toHour(toTimeZone(window_start, 'America/New_York')) * 60
         + toMinute(toTimeZone(window_start, 'America/New_York'))) AS et_min,
        volume
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('AAPL', 'KO', 'MSFT', 'NVDA')
      AND window_start >= '2026-09-01 00:00:00'
      AND window_start <  '2026-10-01 00:00:00'
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 240
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) <  1200
)
SELECT
    ticker,
    round(100 * sumIf(volume, et_min >= 240 AND et_min <  570) / sum(volume), 3) AS premarket_pct,
    round(100 * sumIf(volume, et_min >= 570 AND et_min <  960) / sum(volume), 3) AS regular_pct,
    round(100 * sumIf(volume, et_min >= 960 AND et_min < 1200) / sum(volume), 3) AS afterhours_pct
FROM bars
GROUP BY ticker
ORDER BY ticker
⌘/Ctrl + Enter

या डेटासोबत तुमच्या AI सहाय्यकात काम करा

या पानावरील डेटासह, क्वेरीसाठी तयार उघडते. मोफत, खात्याशिवाय.