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Quarterly third Friday volume against the trailing 20 session average

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 series 14×5read in context →
Quarterly third Friday volume against the trailing 20 session average — 14 rows by 5 columns, computed from US exchange, SIP and OPRA data.
expiry_dateexpiry_volume_millionstrailing_20d_volume_millionsexpiry_ratioexpiry_label
2023-03-173.092.761.12Mar 17, 2023
2023-06-162.062.140.96Jun 16, 2023
2023-09-151.492.110.71Sep 15, 2023
2023-12-152.051.411.45Dec 15, 2023
2024-03-151.171.480.79Mar 15, 2024
2024-06-211.221.141.07Jun 21, 2024
2024-09-200.40.470.84Sep 20, 2024
2024-12-200.480.880.54Dec 20, 2024
2025-03-213.293.670.9Mar 21, 2025
2025-06-202.333.290.71Jun 20, 2025
2025-09-192.932.491.17Sep 19, 2025
2025-12-191.751.980.89Dec 19, 2025
2026-03-204.932.691.83Mar 20, 2026
2026-09-181.840.971.89Sep 18, 2026
Rows × columns
14 × 5
Period covered
to
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 Quarterly third Friday volume against the trailing 20 session average, derived from the stored result.
ColumnTypeRangeNotes
expiry_date date 2023-03-17 to 2026-09-18
expiry_volume_millions number 0.4 to 4.93 count
trailing_20d_volume_millions number 0.47 to 3.67 count
expiry_ratio number 0.54 to 1.89 ratio or rate
expiry_label text 14 distinct values (Dec 15, 2023, Dec 19, 2025, Dec 20, 2024…)

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 daily AS
(
    SELECT
        date,
        max(toFloat64(volume)) AS vol
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'EWG'
      AND date >= '2023-01-01'
      AND date <  '2026-09-19'
    GROUP BY date
),
with_avg AS
(
    SELECT
        date,
        vol,
        avg(vol) OVER (ORDER BY date ROWS BETWEEN 20 PRECEDING AND 1 PRECEDING) AS trailing_avg
    FROM daily
)
SELECT
    toString(date)                       AS expiry_date,
    round(vol / 1e6, 2)                  AS expiry_volume_millions,
    round(trailing_avg / 1e6, 2)         AS trailing_20d_volume_millions,
    round(vol / trailing_avg, 2)         AS expiry_ratio,
    formatDateTime(date, '%b %e, %Y')    AS expiry_label
FROM with_avg
WHERE toMonth(date) IN (3, 6, 9, 12)
  AND toDayOfWeek(date) = 5
  AND toDayOfMonth(date) BETWEEN 15 AND 21
ORDER BY date
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