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 2026-09-28, from When Do Mutual Funds Trade? NAV Pricing at 4 pm.
- Rows × columns
- 1 × 6
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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.
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.
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')
עבדו עם הנתונים האלה בעוזר ה-AI שלכם
נפתח מוכן לשאילתות, עם הנתונים של העמוד הזה. בחינם, בלי חשבון.