STRASMORE/EXPLORE 3,293 QUERIES

spy_israel_clock

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 2026-11-01, from us-stock-market-hours-israel-time.

as of series 32×3read in context →
spy_israel_clock — 32 rows by 3 columns, computed from US exchange, SIP and OPRA data.
israel_timenew_york_timeavg_volume_millions
11:0004:000.08
11:3004:300.02
12:0005:000.02
12:3005:300.01
13:0006:000.02
13:3006:300.03
14:0007:000.08
14:3007:300.11
15:0008:000.13
15:3008:300.22
16:0009:000.21
16:3009:303.8
17:0010:002.7
17:3010:302.5
18:0011:002.19
18:3011:302.24
19:0012:001.93
19:3012:301.71
20:0013:001.52
20:3013:301.48
21:0014:001.82
21:3014:301.82
22:0015:002.19
22:3015:306.81
23:0016:003.9
23:3016:300.25
00:0017:000.16
00:3017:300.09
01:0018:000.07
01:3018:300.02
02:0019:000.02
02:3019:300.02
Rows × columns
32 × 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_israel_clock, derived from the stored result.
ColumnTypeRangeNotes
israel_time text 32 distinct values (00:00, 00:30, 01:00…)
new_york_time text 32 distinct values (04:00, 04:30, 05:00…)
avg_volume_millions number 0.01 to 6.81 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
    formatDateTime(toTimeZone(bucket, 'Asia/Jerusalem'), '%H:%i')    AS israel_time,
    formatDateTime(toTimeZone(bucket, 'America/New_York'), '%H:%i')  AS new_york_time,
    round(avg(bucket_volume) / 1000000, 2)                           AS avg_volume_millions
FROM
(
    SELECT
        toDate(toTimeZone(window_start, 'America/New_York'))   AS session,
        toStartOfInterval(
            window_start - toIntervalMinute(if(toHour(toTimeZone(window_start, 'America/New_York')) = 16
                                              AND toMinute(toTimeZone(window_start, 'America/New_York')) = 0, 1, 0)),
            INTERVAL 30 MINUTE)                                 AS bucket,
        toFloat64(sum(volume))                                  AS bucket_volume
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= toDateTime('2026-08-03 00:00:00', 'America/New_York')
      AND window_start <  toDateTime('2026-08-29 00:00:00', 'America/New_York')
    GROUP BY session, bucket
)
GROUP BY israel_time, new_york_time
ORDER BY min(toHour(toTimeZone(bucket, 'America/New_York')) * 60 + toMinute(toTimeZone(bucket, 'America/New_York')))
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