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.
| session_date | move_label | direction | abs_move_pct | trade_2x_pct_of_assets | trade_3x_pct_of_assets |
|---|---|---|---|---|---|
| 2025-04-09 | April 9, 2025 | higher | 12 | 24 | 72 |
| 2025-04-04 | April 4, 2025 | lower | 6.21 | 12.42 | 37.26 |
| 2025-04-03 | April 3, 2025 | lower | 5.35 | 10.7 | 32.1 |
| 2025-04-10 | April 10, 2025 | lower | 4.25 | 8.5 | 25.5 |
| 2025-05-12 | May 12, 2025 | higher | 4.07 | 8.14 | 24.42 |
| 2025-03-10 | March 10, 2025 | lower | 3.88 | 7.76 | 23.28 |
| 2025-10-10 | October 10, 2025 | lower | 3.47 | 6.94 | 20.82 |
| 2025-04-16 | April 16, 2025 | lower | 3.02 | 6.04 | 18.12 |
| 2025-01-27 | January 27, 2025 | lower | 2.91 | 5.82 | 17.46 |
| 2025-04-24 | April 24, 2025 | higher | 2.81 | 5.62 | 16.86 |
| 2025-02-27 | February 27, 2025 | lower | 2.78 | 5.56 | 16.68 |
| 2025-03-06 | March 6, 2025 | lower | 2.75 | 5.5 | 16.5 |
- 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
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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
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