STRASMORE/EXPLORE 2,170 QUERIES

The overnight and New York halves of the day, year by year

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 2026-08-10, from International Fund NAV: Fair Value Pricing.

as of ranking 6×3read in context →
The overnight and New York halves of the day, year by year — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
yearovernight_gap_pctopen_to_close_pct
20210.7140.535
20220.8260.969
20230.6990.552
20240.7640.435
20250.9590.528
20261.0850.792
Rows × columns
6 × 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 The overnight and New York halves of the day, year by year, derived from the stored result.
ColumnTypeRangeNotes
year text 6 distinct values (2021, 2022, 2023…)
overnight_gap_pct number 0.699 to 1.085 percent
open_to_close_pct number 0.435 to 0.969 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 daily AS
(
    SELECT
        date,
        toFloat64(open)  AS open_px,
        toFloat64(close) AS close_px,
        lagInFrame(toFloat64(close)) OVER (ORDER BY date
            ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prior_close_px
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'SONY'
      AND date >= '2016-01-01'
      AND date <  '2026-08-01'
)
SELECT
    toString(toYear(date)) AS year,
    round(quantileDeterministic(0.5)(abs(open_px / prior_close_px - 1) * 100, toUInt32(date)), 3) AS overnight_gap_pct,
    round(quantileDeterministic(0.5)(abs(close_px / open_px - 1) * 100, toUInt32(date)), 3)       AS open_to_close_pct
FROM daily
WHERE prior_close_px > 0
  AND open_px > 0
GROUP BY year
ORDER BY year

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