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Average minute bar range by ET clock time, second quarter 2026

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 2026-08-06, from ETF Premium and Discount to NAV, Explained.

as of series 26×4read in context →
Average minute bar range by ET clock time, second quarter 2026 — 26 rows by 4 columns, computed from US exchange, SIP and OPRA data.
et_timespy_range_bpsefa_range_bpshyg_range_bps
09:307.066.472.53
09:456.565.861.81
10:006.135.851.77
10:155.635.351.59
10:305.855.41.72
10:455.334.961.58
11:004.784.791.51
11:154.624.741.46
11:304.595.341.39
11:454.324.191.4
12:004.023.841.3
12:153.793.371.21
12:303.893.511.27
12:453.562.961.23
13:003.853.471.29
13:153.843.461.31
13:303.793.431.27
13:453.432.881.21
14:003.863.421.31
14:153.543.181.13
14:303.42.971.27
14:453.4931.28
15:003.663.351.3
15:153.432.951.21
15:303.73.151.33
15:455.184.281.93
Rows × columns
26 × 4
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 Average minute bar range by ET clock time, second quarter 2026, derived from the stored result.
ColumnTypeRangeNotes
et_time text 26 distinct values (09:30, 09:45, 10:00…)
spy_range_bps number 3.4 to 7.06
efa_range_bps number 2.88 to 6.47
hyg_range_bps number 1.13 to 2.53

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
    formatDateTime(toStartOfFifteenMinutes(toTimeZone(window_start, 'America/New_York')), '%H:%i') AS et_time,
    round(avgIf(range_bps, ticker = 'SPY'), 2) AS spy_range_bps,
    round(avgIf(range_bps, ticker = 'EFA'), 2) AS efa_range_bps,
    round(avgIf(range_bps, ticker = 'HYG'), 2) AS hyg_range_bps
FROM
(
    SELECT
        window_start,
        ticker,
        (toFloat64(high) - toFloat64(low)) / toFloat64(close) * 10000 AS range_bps
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'EFA', 'HYG')
      AND window_start >= '2026-04-01 00:00:00'
      AND window_start <  '2026-07-01 00:00:00'
      AND close > 0
      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 et_time
HAVING countIf(ticker = 'SPY') > 0
   AND countIf(ticker = 'EFA') > 0
   AND countIf(ticker = 'HYG') > 0
ORDER BY et_time
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