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A decade of SPY daily closing moves, sorted into size buckets

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 How Futures Margin Works: SPAN and Calls.

as of ranking 6×3read in context →
A decade of SPY daily closing moves, sorted into size buckets — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
move_bucketsessionsshare_pct
under 0.5%125650
0.5 to 1%65626.1
1 to 1.5%29911.9
1.5 to 2%1516
2 to 3%993.9
3% or more522.1
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 A decade of SPY daily closing moves, sorted into size buckets, derived from the stored result.
ColumnTypeRangeNotes
move_bucket text 6 distinct values (0.5 to 1%, 1 to 1.5%, 1.5 to 2%…)
sessions number 52 to 1,256
share_pct number 2.1 to 50 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 spy AS
(
    SELECT
        date,
        toFloat64(close) AS close_px,
        lagInFrame(toFloat64(close)) OVER
            (ORDER BY date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'SPY'
      AND date >= '2016-08-01'
      AND date <  '2026-08-01'
)
SELECT
    multiIf(move_pct < 0.5, 'under 0.5%',
            move_pct < 1.0, '0.5 to 1%',
            move_pct < 1.5, '1 to 1.5%',
            move_pct < 2.0, '1.5 to 2%',
            move_pct < 3.0, '2 to 3%',
                            '3% or more')                 AS move_bucket,
    count()                                               AS sessions,
    round(100 * count() / (SELECT count() FROM spy WHERE prev_close > 0), 1) AS share_pct
FROM
(
    SELECT abs(close_px / prev_close - 1) * 100 AS move_pct
    FROM spy
    WHERE prev_close > 0
)
GROUP BY move_bucket
ORDER BY min(move_pct)

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