STRASMORE/EXPLORE 2,170 QUERIES

Average move from the 11:30 a.m. ET European close to the 4:00 p.m. close, Q2 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 2026-08-06, from How Mutual Fund NAV Is Calculated: Example.

as of ranking 5×3read in context →
Average move from the 11:30 a.m. ET European close to the 4:00 p.m. close, Q2 2026 — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickeravg_afternoon_move_pctlargest_afternoon_move_pct
EWG0.4282.212
VGK0.4052.159
EWJ0.3882.31
EFA0.3812.146
SPY0.3661.465
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 Average move from the 11:30 a.m. ET European close to the 4:00 p.m. close, Q2 2026, derived from the stored result.
ColumnTypeRangeNotes
ticker text 5 distinct values (EFA, EWG, EWJ…)
avg_afternoon_move_pct number 0.366 to 0.428 percent
largest_afternoon_move_pct number 1.465 to 2.31 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 afternoon_bars AS
(
    SELECT
        ticker,
        toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
        toFloat64(close)                                     AS px,
        window_start
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('EWJ', 'EWG', 'VGK', 'EFA', 'SPY')
      AND window_start >= toDateTime('2026-04-01 00:00:00', 'UTC')
      AND window_start <  toDateTime('2026-07-01 00:00:00', 'UTC')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 690
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
),
per_session AS
(
    SELECT
        ticker,
        session_date,
        abs(argMax(px, window_start) / argMin(px, window_start) - 1) * 100 AS afternoon_move_pct
    FROM afternoon_bars
    GROUP BY ticker, session_date
    HAVING count() > 30
)
SELECT
    ticker,
    round(avg(afternoon_move_pct), 3) AS avg_afternoon_move_pct,
    round(max(afternoon_move_pct), 3) AS largest_afternoon_move_pct
FROM per_session
GROUP BY ticker
ORDER BY avg_afternoon_move_pct DESC

Run your own version of this

The same 22 years of US equities and 12 years of options data are queryable in SQL or plain English. A free account runs 100 queries a day and takes no card.

More from this analysisHow Mutual Fund NAV Is Calculated: Example
One session's price path, SPY every 15 minutes on June 17, 2026 series 27×2 Share of SPY's session volume by half hour, June 2026 average series 13×2 Distance from the 10:00 a.m. ET price to the close, SPY, by month series 12×4 Average one-day move across six widely held funds, since 2021 ranking 6×2 The overnight and New York halves of the day, year by year ranking 6×3 Where the daily move lands: overnight gap versus the New York session ranking 6×3 See all 2,170 queries →