STRASMORE/EXPLORE 3,256 QUERIES 22Y EQUITIES · 12Y OPTIONS

3,256 answered market questions

every one with its exact SQL, its result and the date it was computed · free, no signup

The Rule of 16 in Options, and When It Breaks
Does a Monday move like three calendar days? SPY by weekdayranking · 2026-10-04 · 5×4Preview: 5 ranked values, smallest first. The largest single session against a typical one, by nametable · 2026-10-04 · 6×5 Implied volatility divided by 16, next to the realized daily moveranking · 2026-10-04 · 6×4Preview: 6 ranked values, largest first. How far SPY travels over one session, and over sixty threeranking · 2026-10-04 · 7×4Preview: 7 ranked values, smallest first.
Do Stocks Move as Much as Options Predict?
Implied versus realized earnings moves, large caps scored print by printtable · 2026-09-27 · 13×8 Where the realized move landed relative to impliedranking · 2026-09-27 · 6×4Preview: 6 ranked values, largest first. The ten widest overshoots: realized versus impliedranking · 2026-09-27 · 10×4Preview: 10 ranked values, largest first. NVDA: implied move both ways versus the realized move, report by reportseries · 2026-09-27 · 7×5Preview: a 7-point series, ending higher. Under-implied share and median ratio, year by yearranking · 2026-09-27 · 2×4Preview: 2 ranked values, largest first.
Expected Move From Implied Volatility
NVDA after its late-May 2023 report: implied volatility and where the stock wentseries · 2026-09-26 · 12×6Preview: a 12-point series, ending higher. Apple: implied volatility and the expected move at six horizons, one sessiontable · 2026-09-26 · 6×7 Implied vs realized: median 30-day expected move and what six stocks did nexttable · 2026-09-26 · 6×5
Does a Monday move like three calendar days? SPY by weekday

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

most recentas 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
Mon0.8220.87142
Tue0.7690.81157
Wed1.1771.24154
Thu0.981.03149
Fri0.9941.05151
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
$