STRASMORE/EXPLORE 2,170 QUERIES

Does a Monday move like three calendar days? SPY by weekday

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 The Rule of 16 in Options, and When It Breaks.

as of ranking 5×4read in context →
Does a Monday move like three calendar days? SPY by weekday — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
labelsigma_pctvs_all_days_ratiosessions
Mon0.8060.85143
Tue0.7850.82157
Wed1.181.24154
Thu0.9881.04149
Fri1.0011.05150
Rows × columns
5 × 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 Does a Monday move like three calendar days? SPY by weekday, derived from the stored result.
ColumnTypeRangeNotes
label text 5 distinct values (Fri, Mon, Thu…)
sigma_pct number 0.785 to 1.18 percent
vs_all_days_ratio number 0.82 to 1.24 ratio or rate
sessions number 143 to 157

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
SELECT
    label,
    round(sigma * 100, 3)                AS sigma_pct,
    round(sigma / avg(sigma) OVER (), 2) AS vs_all_days_ratio,
    sessions
FROM
(
    SELECT
        formatDateTime(session_date, '%a') AS label,
        min(toDayOfWeek(session_date))     AS dow,
        stddevPop(daily_return)            AS sigma,
        count()                            AS sessions
    FROM
    (
        SELECT
            session_date,
            close_px / lagInFrame(close_px) OVER (ORDER BY session_date ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) - 1 AS daily_return
        FROM
        (
            SELECT
                date                  AS session_date,
                toFloat64(max(close)) AS close_px
            FROM global_markets.stocks_daily_aggs
            WHERE ticker = 'SPY'
              AND date >= today() - 1100
              AND date <  today() - 1
            GROUP BY session_date
        )
    )
    WHERE isFinite(daily_return)
    GROUP BY label
)
ORDER BY dow

Run your own version of this

The same 22 years of US equities and 12 years of options data are queryable in SQL or plain English. A free account runs 100 queries a day and takes no card.

More from this analysisThe Rule of 16 in Options, and When It Breaks
How far SPY travels over one session, and over sixty three ranking 7×4 Implied volatility divided by 16, next to the realized daily move ranking 6×4 The largest single session against a typical one, by name table 6×5 Which tickers carry the most upcoming expirations: option roots by distinct expiration dates in the next six weeks ranking 20×3 SPY implied volatility by strike distance, 20 to 45 days to expiry (Jan to Jun 2026) ranking 13×4 How far AAPL moves inside a single minute, by New York hour ranking 12×4 See all 2,170 queries →