STRASMORE/EXPLORE 2,170 QUERIES

The print NAV is struck from: AAPL's closing auction cross, July 10, 2026

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 2026-07-26, from When Do Mutual Funds Trade? NAV Pricing at 4 pm.

as of scalar 1×6read in context →
auction shares m
5.47
auction time et
16:00:00
printed at 1600
1
auction price
315.32
median trade shares
5
auction pct of volume
16
Rows × columns
1 × 6
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 The print NAV is struck from: AAPL's closing auction cross, July 10, 2026, derived from the stored result.
ColumnTypeRangeNotes
auction_shares_m number every row is 5.47 count
auction_time_et text 1 distinct value (16:00:00)
printed_at_1600 number every row is 1
auction_price number every row is 315.32 US dollars
median_trade_shares number every row is 5 count
auction_pct_of_volume number every row is 16 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.

the exact SQL behind every number 
SELECT
    round(toFloat64(maxIf(size, has(conditions, 8))) / 1e6, 2) AS auction_shares_m,
    formatDateTime(toTimeZone(argMaxIf(sip_timestamp, (size, sip_timestamp), has(conditions, 8)), 'America/New_York'), '%H:%i:%S') AS auction_time_et,
    toUInt8(formatDateTime(toTimeZone(argMaxIf(sip_timestamp, (size, sip_timestamp), has(conditions, 8)), 'America/New_York'), '%H:%i:%S') = '16:00:00') AS printed_at_1600,
    round(argMaxIf(price, (size, sip_timestamp), has(conditions, 8)), 2) AS auction_price,
    round(quantileDeterministicIf(0.5)(toFloat64(size), toUInt64(sip_timestamp), NOT has(conditions, 8) AND NOT hasAny(conditions, [15, 16, 38]))) AS median_trade_shares,
    round(100 * toFloat64(maxIf(size, has(conditions, 8))) / toFloat64(sumIf(size, NOT hasAny(conditions, [15, 16, 38]))), 1) AS auction_pct_of_volume
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
  AND sip_timestamp >= toDateTime('2026-07-10 04:00:00', 'America/New_York')
  AND sip_timestamp < toDateTime('2026-07-10 20:00:00', 'America/New_York')

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