STRASMORE/EXPLORE 3,256 QUERIES

How far SPY sat from its own closing print, by time of day

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 2026-10-04, from Mutual Fund Frequent Trading Limits Explained.

as of series 13×3read in context →
How far SPY sat from its own closing print, by time of day — 13 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_timemedian_gap_pctp90_gap_pct
09:300.330.947
10:000.2920.874
10:300.2710.785
11:000.2310.77
11:300.2170.713
12:000.1890.639
12:300.1740.594
13:000.1630.545
13:300.140.525
14:000.1260.457
14:300.1150.392
15:000.10.325
15:300.0630.205
Rows × columns
13 × 3
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 How far SPY sat from its own closing print, by time of day, derived from the stored result.
ColumnTypeRangeNotes
et_time text 13 distinct values (09:30, 10:00, 10:30…)
median_gap_pct number 0.063 to 0.33 percent
p90_gap_pct number 0.205 to 0.947 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 bars AS
(
    SELECT
        toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
        toTimeZone(window_start, 'America/New_York')         AS et_ts,
        toFloat64(close)                                     AS px
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= today() - 370
      AND window_start <  today() - 2
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
),
session_close AS
(
    SELECT
        session_date,
        argMax(px, et_ts) AS close_px
    FROM bars
    GROUP BY session_date
)
SELECT
    formatDateTime(toStartOfInterval(b.et_ts, INTERVAL 30 minute), '%H:%i') AS et_time,
    round(quantileDeterministic(0.5)(abs(b.px / c.close_px - 1) * 100, toUInt32(toUnixTimestamp(b.et_ts))), 3) AS median_gap_pct,
    round(quantileDeterministic(0.9)(abs(b.px / c.close_px - 1) * 100, toUInt32(toUnixTimestamp(b.et_ts))), 3) AS p90_gap_pct
FROM bars AS b
INNER JOIN session_close AS c ON c.session_date = b.session_date
GROUP BY et_time
ORDER BY et_time
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

More from this analysisMutual Fund Frequent Trading Limits Explained
SPY five-minute price marks across one full session series 78×2 → Minutes traded and distinct prices on the same session ranking 5×3 → Trading sessions inside common calendar-day block windows ranking 4×2 → VOO: last traded price in each 30-minute bucket of the most recent complete session (ET, extended hours included) series 32×2 → One session, many prices: VOO in half-hour marks, Wednesday July 22, 2026 series 32×3 → The first active ETF share class: DFMC weekly closes since its March 2026 listing series 20×4 → See all 3,256 queries →