STRASMORE/EXPLORE 2,948 QUERIES

open_minute_range

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 2026-10-02, from stop-order-vs-limit-order.

as of ranking 16×3read in context →
open_minute_range — 16 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_houravg_minute_range_bpstotal_volume_millions
09:00 ET12.8186.6
10:00 ET10.3172.81
11:00 ET7.2122.55
15:00 ET6.5179.55
14:00 ET6105.52
13:00 ET5.996.18
08:00 ET5.815.94
12:00 ET5.897.9
16:00 ET5.536.4
07:00 ET2.42.08
04:00 ET2.21.03
06:00 ET1.90.91
17:00 ET1.73.98
05:00 ET1.50.74
18:00 ET1.30.9
19:00 ET1.30.87
Rows × columns
16 × 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 open_minute_range, derived from the stored result.
ColumnTypeRangeNotes
et_hour text 16 distinct values (04:00 ET, 05:00 ET, 06:00 ET…)
avg_minute_range_bps number 1.3 to 12.8
total_volume_millions number 0.74 to 186.6 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
    concat(formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H'), ':00 ET') AS et_hour,
    round(avg((toFloat64(high) / toFloat64(low) - 1) * 10000), 1)                        AS avg_minute_range_bps,
    round(sum(volume) / 1e6, 2)                                                          AS total_volume_millions
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'AAPL'
  AND window_start >= '2025-09-02'
  AND window_start <  '2025-10-01'
  AND toFloat64(low) > 0
GROUP BY et_hour
HAVING sum(volume) > 0 AND count() >= 20
ORDER BY avg_minute_range_bps DESC
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