qqq_monthly_usd
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 2026-10-08, from qqq-etf-price-in-krw.
| month | change_pct | cum_change_pct |
|---|---|---|
| 2025-10 | 4.78 | 4.78 |
| 2025-11 | -1.56 | 3.14 |
| 2025-12 | -0.8 | 2.32 |
| 2026-01 | 1.23 | 3.58 |
| 2026-02 | -2.34 | 1.15 |
| 2026-03 | -4.96 | -3.86 |
| 2026-04 | 15.69 | 11.22 |
| 2026-05 | 10.57 | 22.98 |
| 2026-06 | -0.26 | 22.66 |
| 2026-07 | -6.57 | 14.59 |
| 2026-08 | 4.18 | 19.39 |
| 2026-09 | 3.21 | 23.22 |
| 2026-10 | 1.75 | 25.38 |
- Rows × columns
- 13 × 3
- 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 |
|---|---|---|---|
month |
text | 13 distinct values (2025-10, 2025-11, 2025-12…) | |
change_pct |
number | -6.57 to 15.69 | percent |
cum_change_pct |
number | -3.86 to 25.38 | 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.
WITH monthly AS
(
SELECT
toStartOfMonth(date) AS month_start,
toFloat64(argMax(close, date)) AS month_close
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'QQQ'
AND date >= toStartOfMonth(today() - 400)
GROUP BY month_start
)
SELECT
formatDateTime(month_start, '%Y-%m') AS month,
round((month_close / prev_close - 1) * 100, 2) AS change_pct,
round((month_close / base_close - 1) * 100, 2) AS cum_change_pct
FROM
(
SELECT
month_start,
month_close,
lagInFrame(month_close) OVER
(ORDER BY month_start ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_close,
first_value(month_close) OVER
(ORDER BY month_start ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS base_close
FROM monthly
)
WHERE prev_close > 0
ORDER BY month_start
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