STRASMORE/EXPLORE 2,830 QUERIES

beweging_per_jaar

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 2026-09-30, from short-dated-aex-options.

as of table 6×5read in context →
beweging_per_jaar — 6 rows by 5 columns, computed from US exchange, SIP and OPRA data.
jaarboven_0_5_pctboven_1_pctboven_2_pctgem_abs_pct
202162.735.84.50.88
202281.359.830.71.6
202369.241.29.60.95
202463.133.710.30.9
202561.631.680.9
20267351.917.81.22
Rows × columns
6 × 5
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 beweging_per_jaar, derived from the stored result.
ColumnTypeRangeNotes
jaar text 6 distinct values (2021, 2022, 2023…)
boven_0_5_pct number 61.6 to 81.3 percent
boven_1_pct number 31.6 to 59.8 percent
boven_2_pct number 4.5 to 30.7 percent
gem_abs_pct number 0.88 to 1.6 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.

SELECT
    toString(toYear(handelsdag))                              AS jaar,
    round(100 * countIf(abs(mutatie_pct) > 0.5) / count(), 1) AS boven_0_5_pct,
    round(100 * countIf(abs(mutatie_pct) > 1.0) / count(), 1) AS boven_1_pct,
    round(100 * countIf(abs(mutatie_pct) > 2.0) / count(), 1) AS boven_2_pct,
    round(avg(abs(mutatie_pct)), 2)                           AS gem_abs_pct
FROM
(
    SELECT
        date AS handelsdag,
        100 * (toFloat64(close) / any(toFloat64(close)) OVER (ORDER BY date ASC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) - 1) AS mutatie_pct
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'EWN'
      AND date >= today() - 1830
      AND date <  today() - 1
)
WHERE isFinite(mutatie_pct)
GROUP BY jaar
HAVING count() >= 20
ORDER BY jaar
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