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The twelve biggest 2025 index moves and the reset trade each one requires

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 series 12×6read in context →
The twelve biggest 2025 index moves and the reset trade each one requires — 12 rows by 6 columns, computed from US exchange, SIP and OPRA data.
session_datemove_labeldirectionabs_move_pcttrade_2x_pct_of_assetstrade_3x_pct_of_assets
2025-04-09April 9, 2025higher122472
2025-04-04April 4, 2025lower6.2112.4237.26
2025-04-03April 3, 2025lower5.3510.732.1
2025-04-10April 10, 2025lower4.258.525.5
2025-05-12May 12, 2025higher4.078.1424.42
2025-03-10March 10, 2025lower3.887.7623.28
2025-10-10October 10, 2025lower3.476.9420.82
2025-04-16April 16, 2025lower3.026.0418.12
2025-01-27January 27, 2025lower2.915.8217.46
2025-04-24April 24, 2025higher2.815.6216.86
2025-02-27February 27, 2025lower2.785.5616.68
2025-03-06March 6, 2025lower2.755.516.5
Rows × columns
12 × 6
Period covered
to
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 The twelve biggest 2025 index moves and the reset trade each one requires, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2025-01-27 to 2025-10-10
move_label text 12 distinct values
direction text 2 distinct values (higher, lower)
abs_move_pct number 2.75 to 12 percent
trade_2x_pct_of_assets number 5.5 to 24 percent
trade_3x_pct_of_assets number 16.5 to 72 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(date)                                                                                AS session_date,
    concat(monthName(date), ' ', toString(toDayOfMonth(date)), ', ', toString(toYear(date)))      AS move_label,
    if(move_pct >= 0, 'higher', 'lower')                                                          AS direction,
    abs(move_pct)                                                                                 AS abs_move_pct,
    round(abs(move_pct) * 2, 2)                                                                   AS trade_2x_pct_of_assets,
    round(abs(move_pct) * 6, 2)                                                                   AS trade_3x_pct_of_assets
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'
ORDER BY abs_move_pct DESC
LIMIT 12
⌘/Ctrl + Enter

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