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Trading sessions per month: SPY bars, July 2025 through June 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 2026-08-01, from Market Data Skills for AI Agents.

as of series 12×4read in context →
Trading sessions per month: SPY bars, July 2025 through June 2026 — 12 rows by 4 columns, computed from US exchange, SIP and OPRA data.
monthsessionscalendar_daysshort_sessions
2025-0722312
2025-0821310
2025-0921301
2025-1023310
2025-1119301
2025-1222311
2026-0120311
2026-0219281
2026-0322312
2026-0421301
2026-0520312
2026-0621302
Rows × columns
12 × 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 Trading sessions per month: SPY bars, July 2025 through June 2026, derived from the stored result.
ColumnTypeRangeNotes
month date 2025-07 to 2026-06
sessions number 19 to 23
calendar_days number 28 to 31
short_sessions number 0 to 2

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,
           argMax(formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i'), volume) AS busiest_minute
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2025-07-01')
      AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2026-06-30')
    GROUP BY session_date
)
SELECT formatDateTime(toStartOfMonth(session_date), '%Y-%m') AS month,
       count() AS sessions,
       toDayOfMonth(toLastDayOfMonth(min(session_date))) AS calendar_days,
       countIf(busiest_minute < '15:00') AS short_sessions
FROM sessions
GROUP BY toStartOfMonth(session_date)
ORDER BY toStartOfMonth(session_date)

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