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QQQ daily closes, February 22 – March 14, 2022

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 2026-07-26, from Feb 24, 2022: War at the Open, Green by Close.

as of series 15×4read in context →
QQQ daily closes, February 22 – March 14, 2022 — 15 rows by 4 columns, computed from US exchange, SIP and OPRA data.
sessionclose_usdchange_pctshares_m
2022-02-22338.09-185.1
2022-02-23329.41-2.685.1
2022-02-24340.653.4128.5
2022-02-25345.871.577.6
2022-02-28347.150.476.4
2022-03-01341.56-1.666.8
2022-03-02347.181.669.8
2022-03-03342.26-1.470.6
2022-03-04337.35-1.475.8
2022-03-07324.83-3.789.2
2022-03-08323.28-0.5115.3
2022-03-09335.053.663.8
2022-03-10331.42-1.168.7
2022-03-11324.34-2.165.6
2022-03-14318.21-1.978.9
Rows × columns
15 × 4
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 daily closes, February 22 – March 14, 2022, derived from the stored result.
ColumnTypeRangeNotes
session date 2022-02-22 to 2022-03-14
close_usd number 318.21 to 347.18 US dollars
change_pct number -3.7 to 3.6 percent
shares_m number 63.8 to 128.5 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.

the exact SQL behind every number 
SELECT
    toString(et_date) AS session,
    close_usd,
    round(if(prev_close = 0, NULL, (close_usd / prev_close - 1) * 100), 1) AS change_pct,
    shares_m
FROM (
    SELECT et_date, close_usd, shares_m,
           lagInFrame(close_usd) OVER (ORDER BY et_date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_close
    FROM (
        SELECT
            toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
            round(argMaxIf(toFloat64(close), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 2) AS close_usd,
            round(toFloat64(sum(volume)) / 1e6, 1) AS shares_m
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'QQQ'
          AND window_start >= toDateTime('2022-02-18 00:00:00') AND window_start < toDateTime('2022-03-15 23:59:00')
        GROUP BY et_date
    )
)
WHERE et_date >= toDate('2022-02-22') AND et_date <= toDate('2022-03-14')
ORDER BY et_date

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More from this analysisFeb 24, 2022: War at the Open, Green by Close
QQQ by half-hour: February 24, 2022 regular session series 13×4 → 2-year and 10-year Treasury yields, February 18 – March 8, 2022 (%) series 12×3 → QQQ sessions since 2003: intraday low ≤ −3% vs prior close AND close ≥ +1% series 2×4 → Eleven tickers on February 24, 2022: gap, intraday extremes, close (% vs prior close) table 11×6 → After the reversal: when QQQ broke the invasion-day low, and how far it fell scalar 1×10 → QQQ on February 24, 2022: the invasion-day reversal, receipted scalar 1×14 → See all 2,170 queries →