STRASMORE/EXPLORE 3,214 QUERIES

qqq_close_recent

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.

as of series 43×3read in context →
qqq_close_recent — 43 rows by 3 columns, computed from US exchange, SIP and OPRA data.
session_dateclose_usdvolume_m
2026-08-10720.8726.2
2026-08-11718.4529.3
2026-08-12723.729.1
2026-08-13732.0731.6
2026-08-14731.0723.8
2026-08-17729.8726.5
2026-08-18717.5149
2026-08-19716.0835.8
2026-08-20710.9333.4
2026-08-21713.4433.4
2026-08-24706.3237.4
2026-08-25710.7223.9
2026-08-26711.3720.4
2026-08-27721.1128.7
2026-08-28716.4334.1
2026-08-31716.7632.2
2026-09-01707.6435.2
2026-09-02709.2423.5
2026-09-03717.6729.4
2026-09-04718.9632.9
2026-09-08718.3628.3
2026-09-09716.3126.8
2026-09-10708.6931.4
2026-09-11714.8826.6
2026-09-14709.1835.2
2026-09-15704.5426.6
2026-09-16704.7235.7
2026-09-17716.9237.3
2026-09-18721.4548.5
2026-09-21741.4746.7
2026-09-22747.4640.1
2026-09-23741.2133.2
2026-09-24741.129
2026-09-25744.530.3
2026-09-28736.5341.8
2026-09-29737.9327.1
2026-09-30739.7729.8
2026-10-01742.0335.7
2026-10-02749.5834.5
2026-10-05756.225.6
2026-10-06759.6626.5
2026-10-07757.7325.5
2026-10-08752.741
Rows × columns
43 × 3
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 qqq_close_recent, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2026-08-10 to 2026-10-08
close_usd number 704.54 to 759.66 US dollars
volume_m number 1 to 49 count

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,
    round(toFloat64(max(close)), 2)         AS close_usd,
    round(toFloat64(max(volume)) / 1e6, 1)  AS volume_m
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'QQQ'
  AND date >= today() - 60
GROUP BY date
ORDER BY date
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