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Where a listed Germany fund's volume sits on the New York clock (Jun to Aug 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 2026-09-23, from DAX Futures Explained: FDAX, FDXM, FDXS.

as of ranking 8×3read in context →
Where a listed Germany fund's volume sits on the New York clock (Jun to Aug 2026) — 8 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_hourvolume_millionsshare_of_volume_pct
09:008.9514.3
10:008.8314.1
11:009.8915.8
12:006.911
13:005.118.2
14:004.537.2
15:0015.2324.4
16:002.974.8
Rows × columns
8 × 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 Where a listed Germany fund's volume sits on the New York clock (Jun to Aug 2026), derived from the stored result.
ColumnTypeRangeNotes
et_hour text 8 distinct values (09:00, 10:00, 11:00…)
volume_millions number 2.97 to 15.23 count
share_of_volume_pct number 4.8 to 24.4 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.

WITH bars AS
(
    SELECT
        formatDateTime(toStartOfHour(toTimeZone(window_start, 'America/New_York')), '%H:00') AS et_hour,
        toFloat64(volume) AS vol
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'EWG'
      AND window_start >= '2026-06-01 00:00:00'
      AND window_start <  '2026-09-01 00:00:00'
),
totals AS
(
    SELECT sum(vol) AS all_vol
    FROM bars
)
SELECT
    et_hour,
    round(sum(vol) / 1e6, 2)                 AS volume_millions,
    round(100 * sum(vol) / any(all_vol), 1)  AS share_of_volume_pct
FROM bars
CROSS JOIN totals
GROUP BY et_hour
HAVING 100 * sum(vol) / any(all_vol) >= 0.5
ORDER BY et_hour
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