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SPY on monthly settlement Fridays: the opening gap, and where the session went afterwards

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 2026-08-03, from Nikkei 225 Options and SQ Settlement.

as of series 16×4read in context →
SPY on monthly settlement Fridays: the opening gap, and where the session went afterwards — 16 rows by 4 columns, computed from US exchange, SIP and OPRA data.
datefriday_labelopen_gap_pctopen_to_close_pct
2025-01-17Jan 17, 20250.890.1
2025-02-21Feb 21, 2025-0.04-1.67
2025-03-21Mar 21, 2025-1.130.88
2025-05-16May 16, 20250.140.51
2025-06-20Jun 20, 20250.15-0.69
2025-07-18Jul 18, 20250.21-0.27
2025-08-15Aug 15, 20250.16-0.39
2025-09-19Sep 19, 20250.010.2
2025-10-17Oct 17, 2025-0.170.73
2025-11-21Nov 21, 20250.390.61
2025-12-19Dec 19, 20250.020.59
2026-01-16Jan 16, 20260.21-0.3
2026-02-20Feb 20, 2026-0.321.03
2026-03-20Mar 20, 2026-0.49-1.21
2026-04-17Apr 17, 20260.650.55
2026-05-15May 15, 2026-0.85-0.36
Rows × columns
16 × 4
Period covered
to
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 SPY on monthly settlement Fridays: the opening gap, and where the session went afterwards, derived from the stored result.
ColumnTypeRangeNotes
date date 2025-01-17 to 2026-05-15
friday_label text 16 distinct values (Apr 17, 2026, Aug 15, 2025, Dec 19, 2025…)
open_gap_pct number -1.13 to 0.89 percent
open_to_close_pct number -1.67 to 1.03 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
WITH sessions AS (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
           argMin(open, window_start) AS session_open,
           argMax(close, window_start) AS session_close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2024-12-01')
      AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2026-06-30')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY session_date
),
paired AS (
    SELECT session_date,
           toFloat64(session_open) AS open_px,
           toFloat64(session_close) AS close_px,
           any(toFloat64(session_close)) OVER (ORDER BY session_date ASC
                                               ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS prior_close
    FROM sessions
)
SELECT formatDateTime(session_date, '%Y-%m-%d') AS date,
       formatDateTime(session_date, '%b %e, %Y') AS friday_label,
       round(100 * (open_px - prior_close) / prior_close, 2) AS open_gap_pct,
       round(100 * (close_px - open_px) / open_px, 2) AS open_to_close_pct
FROM paired
WHERE prior_close > 0
  AND session_date >= toDate('2025-01-01')
  AND toDayOfWeek(session_date) = 5
  AND toDayOfMonth(session_date) BETWEEN 15 AND 21
ORDER BY session_date

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