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SPY on August 5, 2024, in half-hour buckets (ET): the low and the close of each

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 2026-09-16, from What Is a High VIX? Levels and Extremes.

as of series 13×3read in context →
SPY on August 5, 2024, in half-hour buckets (ET): the low and the close of each — 13 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_timespy_lowspy_close
09:30510.27515.22
10:00510.94514.64
10:30514.62516.43
11:00515.35519.68
11:30519.1520.42
12:00519.7523.57
12:30518.44518.91
13:00518.25519.66
13:30518.71519.06
14:00517.73518.95
14:30515.61515.72
15:00515.31516.43
15:30514.88517.41
Rows × columns
13 × 3
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 SPY on August 5, 2024, in half-hour buckets (ET): the low and the close of each, derived from the stored result.
ColumnTypeRangeNotes
et_time text 13 distinct values (09:30, 10:00, 10:30…)
spy_low number 510.27 to 519.7 US dollars
spy_close number 514.64 to 523.57 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.

the exact SQL behind every number
SELECT
    formatDateTime(bucket, '%H:%i')                    AS et_time,
    round(toFloat64(min(low)), 2)                      AS spy_low,
    round(toFloat64(argMax(close, window_start)), 2)   AS spy_close
FROM
(
    SELECT
        window_start,
        toStartOfInterval(toTimeZone(window_start, 'America/New_York'), INTERVAL 30 MINUTE) AS bucket,
        low,
        close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= toDateTime('2024-08-05 04:00:00', 'UTC')
      AND window_start <  toDateTime('2024-08-06 04:00:00', 'UTC')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
)
GROUP BY bucket
ORDER BY bucket

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