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Average absolute open to close move on SPY Fridays, expiration vs ordinary, by year

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.

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Average absolute open to close move on SPY Fridays, expiration vs ordinary, by year — 10 rows by 4 columns, computed from US exchange, SIP and OPRA data.
yearexpiry_friday_move_pctother_friday_move_pctexpiry_session_count
20160.220.494
20170.240.24
20180.780.614
20190.270.454
20202.330.74
20210.440.514
20220.611.184
20230.630.614
20240.440.454
20250.580.714
Rows × columns
10 × 4
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 Average absolute open to close move on SPY Fridays, expiration vs ordinary, by year, derived from the stored result.
ColumnTypeRangeNotes
year text 10 distinct values (2016, 2017, 2018…)
expiry_friday_move_pct number 0.22 to 2.33 percent
other_friday_move_pct number 0.2 to 1.18 percent
expiry_session_count number every row is 4 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.

the exact SQL behind every number
WITH fridays AS
(
    SELECT
        toYear(date) AS y,
        abs(100 * (toFloat64(close) - toFloat64(open)) / toFloat64(open)) AS abs_move_pct,
        (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 >= '2016-01-01'
      AND date <  today()
      AND toDayOfWeek(date) = 5
      AND toFloat64(open) > 0
)
SELECT
    toString(y)                                  AS year,
    round(avgIf(abs_move_pct, is_expiry = 1), 2) AS expiry_friday_move_pct,
    round(avgIf(abs_move_pct, is_expiry = 0), 2) AS other_friday_move_pct,
    countIf(is_expiry = 1)                       AS expiry_session_count
FROM fridays
GROUP BY y
HAVING countIf(is_expiry = 1) >= 2
   AND countIf(is_expiry = 0) >= 2
ORDER BY y

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