Median move before and after European markets close, first half of 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 ETF Premium and Discount to NAV, Explained.
| ticker | morning_move_pct | afternoon_move_pct |
|---|---|---|
| SPY | 0.306 | 0.283 |
| VGK | 0.288 | 0.289 |
| EFA | 0.262 | 0.277 |
| EWJ | 0.272 | 0.302 |
- Rows × columns
- 4 × 3
- 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 | 4 distinct values (EFA, EWJ, SPY…) | |
morning_move_pct |
number | 0.262 to 0.306 | percent |
afternoon_move_pct |
number | 0.277 to 0.302 | 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 bars AS
(
SELECT
ticker,
window_start,
toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York')) AS et_minute,
toFloat64(open) AS px_o,
toFloat64(close) AS px_c
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('SPY', 'VGK', 'EFA', 'EWJ')
AND window_start >= '2026-01-02 00:00:00'
AND window_start < '2026-07-01 00:00:00'
),
legs AS
(
SELECT
ticker,
session_date,
argMinIf(px_o, window_start, et_minute >= 570) AS px_open,
argMaxIf(px_c, window_start, et_minute < 690) AS px_midday,
argMaxIf(px_c, window_start, et_minute < 960) AS px_close
FROM bars
WHERE et_minute >= 570 AND et_minute < 960
GROUP BY ticker, session_date
HAVING px_open > 0 AND px_midday > 0 AND px_close > 0
)
SELECT
ticker,
round(quantileExact(0.5)(abs(px_midday / px_open - 1) * 100), 3) AS morning_move_pct,
round(quantileExact(0.5)(abs(px_close / px_midday - 1) * 100), 3) AS afternoon_move_pct
FROM legs
GROUP BY ticker
ORDER BY multiIf(ticker = 'SPY', 1, ticker = 'VGK', 2, ticker = 'EFA', 3, 4)
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