The six largest AAPL prints in the ten seconds from 4:00:00 p.m. ET, September 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 2026-09-17, from Nasdaq Closing Cross Explained: NOII and MOC.
| et_clock | price | shares_mn | condition_codes | venue | x_median_trade_k |
|---|---|---|---|---|---|
| 16:00:00.810 | 326.57 | 6.605 | [8,9,41] | Nasdaq | 550.4 |
| 16:00:00.810 | 326.57 | 6.605 | [15] | Nasdaq | 550.4 |
| 16:00:01.222 | 326.57 | 0.074 | [12] | FINRA Alternative Display Facility | 6.1 |
| 16:00:00.813 | 326.57 | 0.061 | [12] | FINRA Alternative Display Facility | 5.1 |
| 16:00:00.812 | 326.57 | 0.024 | [12] | FINRA Alternative Display Facility | 2 |
| 16:00:01.157 | 326.57 | 0.013 | [12] | FINRA Alternative Display Facility | 1.1 |
- Rows × columns
- 6 × 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 |
|---|---|---|---|
et_clock |
text | 5 distinct values (16:00:00.810, 16:00:00.812, 16:00:00.813…) | |
price |
number | every row is 326.57 | US dollars |
shares_mn |
number | 0.013 to 6.605 | count |
condition_codes |
text | 3 distinct values ([12], [15], [8,9,41]) | |
venue |
text | 2 distinct values | |
x_median_trade_k |
number | 1.1 to 550.4 |
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
p.et_clock AS et_clock,
p.price AS price,
p.shares_mn AS shares_mn,
p.condition_codes AS condition_codes,
p.venue AS venue,
round(p.shares / m.median_trade_shares / 1000, 1) AS x_median_trade_k
FROM
(
SELECT
t.et_clock AS et_clock,
t.price AS price,
t.shares AS shares,
t.shares_mn AS shares_mn,
t.condition_codes AS condition_codes,
t.seq AS seq,
e.venue AS venue
FROM
(
SELECT
substring(toString(toTimeZone(sip_timestamp, 'America/New_York')), 12, 12) AS et_clock,
round(toFloat64(price), 2) AS price,
toFloat64(size) AS shares,
round(toFloat64(size) / 1e6, 3) AS shares_mn,
toString(conditions) AS condition_codes,
toInt32(exchange) AS exch,
toUInt64(sequence_number) AS seq
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
AND sip_timestamp >= toDateTime('2026-09-10 20:00:00', 'UTC')
AND sip_timestamp < toDateTime('2026-09-10 20:00:10', 'UTC')
ORDER BY shares DESC, sip_timestamp
LIMIT 6
) AS t
LEFT JOIN
(
SELECT toInt32(id) AS exch, any(name) AS venue
FROM global_markets.stocks_exchanges
GROUP BY exch
) AS e ON e.exch = t.exch
) AS p
CROSS JOIN
(
SELECT quantileExact(0.5)(toFloat64(size)) AS median_trade_shares
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
AND sip_timestamp >= toDateTime('2026-09-10 08:00:00', 'UTC')
AND sip_timestamp < toDateTime('2026-09-11 00:00:00', 'UTC')
) AS m
ORDER BY p.shares DESC, p.seq
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