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Shares a $10,000 order buys at the screen NAV versus the struck NAV, ten sharpest sessions

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 2026-11-07, from Mutual Fund Forward Pricing Rule Explained.

as of ranking 10×4read in context →
Shares a $10,000 order buys at the screen NAV versus the struck NAV, ten sharpest sessions — 10 rows by 4 columns, computed from US exchange, SIP and OPRA data.
session_labelshares_at_screen_navshares_at_struck_navmove_pct
Apr 9, 202520.1418.2310.5
Apr 4, 202518.6319.795.85
Apr 3, 202517.7118.634.93
Apr 10, 202518.2319.064.38
May 12, 202517.7217.153.3
Dec 18, 202416.5517.062.98
Aug 5, 202418.7719.332.91
Mar 31, 202615.8215.382.91
Oct 10, 202514.915.312.7
Mar 10, 202517.3617.842.66
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 Shares a $10,000 order buys at the screen NAV versus the struck NAV, ten sharpest sessions, derived from the stored result.
ColumnTypeRangeNotes
session_label text 10 distinct values (Apr 10, 2025, Apr 3, 2025, Apr 4, 2025…)
shares_at_screen_nav number 14.9 to 20.14 US dollars
shares_at_struck_nav number 15.31 to 19.79 US dollars
move_pct number 2.66 to 10.5 percent

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 d AS
(
    SELECT
        date,
        toFloat64(close)                                    AS px,
        lagInFrame(toFloat64(close)) OVER (ORDER BY date
            ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING)       AS prev_px
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'SPY'
      AND date >= '2023-01-01'
      AND date <  '2026-09-01'
)
SELECT
    formatDateTime(date, '%b %e, %Y')                       AS session_label,
    round(10000.0 / prev_px, 2)                             AS shares_at_screen_nav,
    round(10000.0 / px, 2)                                  AS shares_at_struck_nav,
    round(abs(px / prev_px - 1) * 100, 2)                   AS move_pct
FROM d
WHERE prev_px > 0
ORDER BY abs(px / prev_px - 1) DESC
LIMIT 10
⌘/Ctrl + Enter

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