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Median overnight gap against median intraday range, twelve months to September 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 2026-10-06, from How After-Market Orders Work: AMO vs Live.

as of ranking 5×3read in context →
Median overnight gap against median intraday range, twelve months to September 2026 — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickerovernight_gap_pctintraday_range_pct
NVDA0.882.62
MSFT0.592
AAPL0.341.93
SPY0.310.85
KO0.291.36
Rows × columns
5 × 3
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 Median overnight gap against median intraday range, twelve months to September 2026, derived from the stored result.
ColumnTypeRangeNotes
ticker text 5 distinct values (AAPL, KO, MSFT…)
overnight_gap_pct number 0.29 to 0.88 percent
intraday_range_pct number 0.85 to 2.62 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 daily AS
(
    SELECT
        ticker,
        date,
        toFloat64(open)  AS o,
        toFloat64(high)  AS h,
        toFloat64(low)   AS l,
        lagInFrame(toFloat64(close)) OVER (PARTITION BY ticker ORDER BY date) AS prev_close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO')
      AND date >= '2025-10-01'
      AND date <  '2026-10-01'
)
SELECT
    ticker,
    round(quantileDeterministic(0.5)(abs(o / prev_close - 1) * 100, toUInt32(date)), 2) AS overnight_gap_pct,
    round(quantileDeterministic(0.5)((h - l) / o * 100, toUInt32(date)), 2)             AS intraday_range_pct
FROM daily
WHERE prev_close > 0
  AND o > 0
GROUP BY ticker
ORDER BY overnight_gap_pct DESC
⌘/Ctrl + Enter

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