STRASMORE/EXPLORE 3,256 QUERIES

Eleven tickers on February 24, 2022: gap, intraday extremes, close (% vs prior close)

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 table 11×6read in context →
Eleven tickers on February 24, 2022: gap, intraday extremes, close (% vs prior close) — 11 rows by 6 columns, computed from US exchange, SIP and OPRA data.
tickerprior_closegap_pctlow_vs_prior_pcthigh_vs_prior_pctday_change_pct
QQQ329.41-3.2-3.43.53.4
SPY421.97-2.6-2.71.61.5
DIA331.44-2.6-2.60.40.3
XLE67.642.1-3.42.2-0.9
GLD178.282.4-1.72.4-0.6
TLT136.621.8-0.320.2
VIXY20.1711.1-3.811.2-3
LMT389.142.3-0.42.51.7
NOC386.12.514.42.4
RTX92.270.8-3.22.62.1
GD216.250.2-2.21.21.1
Rows × columns
11 × 6
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 Eleven tickers on February 24, 2022: gap, intraday extremes, close (% vs prior close), derived from the stored result.
ColumnTypeRangeNotes
ticker text 11 distinct values (DIA, GD, GLD…)
prior_close number 20.17 to 421.97 US dollars
gap_pct number -3.2 to 11.1 percent
low_vs_prior_pct number -3.8 to 1 percent
high_vs_prior_pct number 0.4 to 11.2 percent
day_change_pct number -3 to 3.4 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
    ticker,
    round(prior_close, 2) AS prior_close,
    round((rth_open / prior_close - 1) * 100, 1) AS gap_pct,
    round((rth_low / prior_close - 1) * 100, 1) AS low_vs_prior_pct,
    round((rth_high / prior_close - 1) * 100, 1) AS high_vs_prior_pct,
    round((rth_close / prior_close - 1) * 100, 1) AS day_change_pct
FROM (
    SELECT
        ticker,
        argMaxIf(toFloat64(close), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959 AND toDate(toTimeZone(window_start, 'America/New_York')) = toDate('2022-02-23')) AS prior_close,
        argMinIf(toFloat64(open), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959 AND toDate(toTimeZone(window_start, 'America/New_York')) = toDate('2022-02-24')) AS rth_open,
        minIf(toFloat64(low), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959 AND toDate(toTimeZone(window_start, 'America/New_York')) = toDate('2022-02-24')) AS rth_low,
        maxIf(toFloat64(high), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959 AND toDate(toTimeZone(window_start, 'America/New_York')) = toDate('2022-02-24')) AS rth_high,
        argMaxIf(toFloat64(close), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959 AND toDate(toTimeZone(window_start, 'America/New_York')) = toDate('2022-02-24')) AS rth_close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('QQQ', 'SPY', 'DIA', 'XLE', 'GLD', 'TLT', 'VIXY', 'LMT', 'NOC', 'RTX', 'GD')
      AND window_start >= toDateTime('2022-02-23 00:00:00') AND window_start < toDateTime('2022-02-24 23:59:00')
    GROUP BY ticker
)
ORDER BY indexOf(['QQQ', 'SPY', 'DIA', 'XLE', 'GLD', 'TLT', 'VIXY', 'LMT', 'NOC', 'RTX', 'GD'], ticker)
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More from this analysisFeb 24, 2022: War at the Open, Green by Close
QQQ daily closes, February 22 – March 14, 2022 series 15×4 → 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 → 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 3,256 queries →