STRASMORE/EXPLORE 2,170 QUERIES

The receipt: AAPL's auction print vs. its last continuous trade, July 2, 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 What Is the Closing Auction? (Closing Cross).

as of scalar 1×12read in context →
spy session bars jun16
390
spy session bars jun30
390
spy session bars jul02
390
auction print count
1
auction price
308.63
auction et
16:00:00.373202
last tick price
308.1
last tick et
16:00:00.215052
auction minus last tick cents
53
official close reprints
2
listing venue reprints
1
listing reprint price difference
0
Rows × columns
1 × 12
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 receipt: AAPL's auction print vs. its last continuous trade, July 2, 2026, derived from the stored result.
ColumnTypeRangeNotes
spy_session_bars_jun16 number every row is 390
spy_session_bars_jun30 number every row is 390
spy_session_bars_jul02 number every row is 390
auction_print_count number every row is 1 count
auction_price number every row is 308.63 US dollars
auction_et text 1 distinct value (16:00:00.373202)
last_tick_price number every row is 308.1 US dollars
last_tick_et text 1 distinct value (16:00:00.215052)
auction_minus_last_tick_cents number every row is 53
official_close_reprints number every row is 2 US dollars
listing_venue_reprints number every row is 1
listing_reprint_price_difference number every row is 0 US dollars

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 
WITH
    (
        SELECT countIf(window_start >= toDateTime('2026-06-16 09:30:00', 'America/New_York') AND window_start < toDateTime('2026-06-16 16:00:00', 'America/New_York'))
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'SPY' AND window_start >= toDateTime('2026-06-16 00:00:00', 'America/New_York') AND window_start < toDateTime('2026-06-17 00:00:00', 'America/New_York')
    ) AS bars_jun16,
    (
        SELECT countIf(window_start >= toDateTime('2026-06-30 09:30:00', 'America/New_York') AND window_start < toDateTime('2026-06-30 16:00:00', 'America/New_York'))
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'SPY' AND window_start >= toDateTime('2026-06-30 00:00:00', 'America/New_York') AND window_start < toDateTime('2026-07-01 00:00:00', 'America/New_York')
    ) AS bars_jun30,
    (
        SELECT countIf(window_start >= toDateTime('2026-07-02 09:30:00', 'America/New_York') AND window_start < toDateTime('2026-07-02 16:00:00', 'America/New_York'))
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'SPY' AND window_start >= toDateTime('2026-07-02 00:00:00', 'America/New_York') AND window_start < toDateTime('2026-07-03 00:00:00', 'America/New_York')
    ) AS bars_jul02,
    (
        SELECT maxIf(sip_timestamp, has(conditions, 8))
        FROM global_markets.stocks_trades
        WHERE ticker = 'AAPL' AND sip_timestamp >= '2026-07-02 00:00:00' AND sip_timestamp < '2026-07-03 00:00:00'
    ) AS auction_ts,
    (
        SELECT argMaxIf(exchange, size, has(conditions, 8))
        FROM global_markets.stocks_trades
        WHERE ticker = 'AAPL' AND sip_timestamp >= '2026-07-02 00:00:00' AND sip_timestamp < '2026-07-03 00:00:00'
    ) AS listing_exchange
SELECT
    bars_jun16 AS spy_session_bars_jun16,
    bars_jun30 AS spy_session_bars_jun30,
    bars_jul02 AS spy_session_bars_jul02,
    countIf(has(conditions, 8)) AS auction_print_count,
    toFloat64(argMaxIf(price, size, has(conditions, 8))) AS auction_price,
    formatDateTime(toTimeZone(auction_ts, 'America/New_York'), '%H:%i:%S.%f') AS auction_et,
    toFloat64(argMaxIf(price, (sip_timestamp, sequence_number), sip_timestamp < auction_ts AND NOT has(conditions, 8) AND NOT hasAny(conditions, [15, 16, 38]))) AS last_tick_price,
    formatDateTime(toTimeZone(maxIf(sip_timestamp, sip_timestamp < auction_ts AND NOT has(conditions, 8) AND NOT hasAny(conditions, [15, 16, 38])), 'America/New_York'), '%H:%i:%S.%f') AS last_tick_et,
    round((toFloat64(argMaxIf(price, size, has(conditions, 8))) - toFloat64(argMaxIf(price, (sip_timestamp, sequence_number), sip_timestamp < auction_ts AND NOT has(conditions, 8) AND NOT hasAny(conditions, [15, 16, 38])))) * 100, 1) AS auction_minus_last_tick_cents,
    countIf(has(conditions, 15)) AS official_close_reprints,
    countIf(has(conditions, 15) AND exchange = listing_exchange) AS listing_venue_reprints,
    round(toFloat64(anyIf(price, has(conditions, 15) AND exchange = listing_exchange)) - toFloat64(argMaxIf(price, size, has(conditions, 8))), 4) AS listing_reprint_price_difference
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL' AND sip_timestamp >= '2026-07-02 00:00:00' AND sip_timestamp < '2026-07-03 00:00:00'

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More from this analysisWhat Is the Closing Auction? (Closing Cross)
The tape's own labels for the close, straight from the code dictionary ranking 4×3 → Quarter-end (June 30) vs. mid-month (June 16, 2026): the same three closing auctions table 3×8 → The closing auction vs. everything else: SPY, AAPL, NVDA on July 2, 2026 table 3×10 → NVDA vs SOXS: median quoted spread over the window, with the smallest single-session gap scalar 1×5 → MU, the biggest-volume session of June 2026: time-adjusted vs. naive RVOL, plus the full-day figure scalar 1×8 → AAPL: the last recorded NBBO quote in our data window scalar 1×7 → See all 2,170 queries →