STRASMORE/EXPLORE 2,170 QUERIES

Minute bars per session: nine widely held names, 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 9×4read in context →
Minute bars per session: nine widely held names, June 2026 — 9 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickersessions_with_datamedian_bars_per_sessionquietest_session_bars
NVDA21954936
QQQ21946925
MSFT21921876
SPY21909860
AAPL21858784
XOM21505447
KO21502470
PG21422404
JNJ21418399
Rows × columns
9 × 4
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 Minute bars per session: nine widely held names, June 2026, derived from the stored result.
ColumnTypeRangeNotes
ticker text 9 distinct values (AAPL, JNJ, KO…)
sessions_with_data number every row is 21
median_bars_per_session number 418 to 954
quietest_session_bars number 399 to 936

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 daily AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
           count() AS bars
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'QQQ', 'NVDA', 'AAPL', 'MSFT', 'XOM', 'JNJ', 'KO', 'PG')
      AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2026-06-01')
      AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2026-06-30')
    GROUP BY ticker, session_date
)
SELECT ticker,
       count() AS sessions_with_data,
       round(quantileDeterministic(0.5)(bars, cityHash64(session_date)), 0) AS median_bars_per_session,
       min(bars) AS quietest_session_bars
FROM daily
GROUP BY ticker
ORDER BY median_bars_per_session DESC

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