STRASMORE/EXPLORE 2,648 QUERIES

2025 sessions by index move size, and the 3x reset each bucket implies

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 2026-09-22, from Leveraged ETF Rebalancing Into the Close.

as of ranking 5×3read in context →
2025 sessions by index move size, and the 3x reset each bucket implies — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
move_bucketbucket_countavg_3x_trade_pct
under 0.5%1081.51
0.5% to 1%654.4
1% to 2%498.73
2% to 3%2014.39
3% or more831.69
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 2025 sessions by index move size, and the 3x reset each bucket implies, derived from the stored result.
ColumnTypeRangeNotes
move_bucket text 5 distinct values (0.5% to 1%, 1% to 2%, 2% to 3%…)
bucket_count number 8 to 108 count
avg_3x_trade_pct number 1.51 to 31.69 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
    multiIf(abs(move_pct) < 0.5, 'under 0.5%',
            abs(move_pct) < 1.0, '0.5% to 1%',
            abs(move_pct) < 2.0, '1% to 2%',
            abs(move_pct) < 3.0, '2% to 3%',
                                 '3% or more')   AS move_bucket,
    count()                                      AS bucket_count,
    round(avg(abs(move_pct)) * 6, 2)             AS avg_3x_trade_pct
FROM
(
    SELECT
        date,
        round(100 * (close_px / lagInFrame(close_px)
              OVER (ORDER BY date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) - 1), 2) AS move_pct
    FROM
    (
        SELECT
            date,
            max(toFloat64(close)) AS close_px
        FROM global_markets.stocks_daily_aggs
        WHERE ticker = 'QQQ'
          AND date >= '2024-12-16'
          AND date <= '2025-12-31'
        GROUP BY date
    )
)
WHERE date >= '2025-01-02'
GROUP BY move_bucket
ORDER BY min(abs(move_pct))
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