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SPY volume on quarterly expiration Fridays, against the average ordinary Friday

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 2026-08-22, from Quadruple Witching vs Triple Witching.

as of series 13×4read in context →
SPY volume on quarterly expiration Fridays, against the average ordinary Friday — 13 rows by 4 columns, computed from US exchange, SIP and OPRA data.
session_datesession_labelspy_volume_millionsvs_ordinary_friday_ratio
2023-03-17Mar 2023140.41.87
2023-06-16Jun 2023114.21.52
2023-09-15Sep 2023111.81.49
2023-12-15Dec 2023141.61.89
2024-03-15Mar 2024107.61.43
2024-06-21Jun 202463.40.84
2024-09-20Sep 202477.51.03
2024-12-20Dec 2024124.71.66
2025-03-21Mar 202583.81.12
2025-06-20Jun 202594.11.25
2025-09-19Sep 202597.91.3
2025-12-19Dec 2025103.51.38
2026-03-20Mar 2026165.62.21
Rows × columns
13 × 4
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 SPY volume on quarterly expiration Fridays, against the average ordinary Friday, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2023-03-17 to 2026-03-20
session_label text 13 distinct values (Dec 2023, Dec 2024, Dec 2025…)
spy_volume_millions number 63.4 to 165.6 count
vs_ordinary_friday_ratio number 0.84 to 2.21 ratio or rate

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.

the exact SQL behind every number
WITH fridays AS
(
    SELECT
        date,
        toFloat64(volume) AS vol,
        (toMonth(date) IN (3, 6, 9, 12) AND toDayOfMonth(date) BETWEEN 15 AND 21) AS is_expiry
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'SPY'
      AND date >= '2023-01-01'
      AND date <  today()
      AND toDayOfWeek(date) = 5
),
ordinary AS
(
    SELECT avg(vol) AS avg_ordinary_friday
    FROM fridays
    WHERE is_expiry = 0
)
SELECT
    toString(f.date)                         AS session_date,
    formatDateTime(f.date, '%b %Y')          AS session_label,
    round(f.vol / 1e6, 1)                    AS spy_volume_millions,
    round(f.vol / o.avg_ordinary_friday, 2)  AS vs_ordinary_friday_ratio
FROM fridays AS f
CROSS JOIN ordinary AS o
WHERE f.is_expiry = 1
ORDER BY f.date

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