qqq_monthly
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 2026-10-09, from what-is-qqq-etf-for-korean-investors.
| month | month_close |
|---|---|
| 2023-10 | 350.87 |
| 2023-11 | 388.83 |
| 2023-12 | 409.52 |
| 2024-01 | 416.97 |
| 2024-02 | 439 |
| 2024-03 | 444.01 |
| 2024-04 | 424.59 |
| 2024-05 | 450.71 |
| 2024-06 | 479.11 |
| 2024-07 | 471.07 |
| 2024-08 | 476.27 |
| 2024-09 | 488.07 |
| 2024-10 | 483.85 |
| 2024-11 | 509.74 |
| 2024-12 | 511.23 |
| 2025-01 | 522.29 |
| 2025-02 | 508.17 |
| 2025-03 | 468.92 |
| 2025-04 | 475.47 |
| 2025-05 | 519.11 |
| 2025-06 | 551.64 |
| 2025-07 | 565.01 |
| 2025-08 | 570.4 |
| 2025-09 | 600.37 |
| 2025-10 | 629.07 |
| 2025-11 | 619.25 |
| 2025-12 | 614.31 |
| 2026-01 | 621.87 |
| 2026-02 | 607.29 |
| 2026-03 | 577.18 |
| 2026-04 | 667.74 |
| 2026-05 | 738.31 |
| 2026-06 | 736.4 |
| 2026-07 | 687.99 |
| 2026-08 | 716.76 |
| 2026-09 | 739.77 |
- Rows × columns
- 36 × 2
- 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 | 36 distinct values (2023-10, 2023-11, 2023-12…) | |
month_close |
number | 350.87 to 739.77 | US dollars |
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,
round(toFloat64(argMax(close, date)), 2) AS month_close
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'QQQ'
AND date >= '2023-10-01'
AND date < toStartOfMonth(today())
GROUP BY month_start
)
SELECT
formatDateTime(month_start, '%Y-%m') AS month,
month_close
FROM monthly
ORDER BY month_start
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