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AAPL, July 2, 2026: session VWAP vs. equal-weight average vs. the final-minute price

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 VWAP? Volume-Weighted Average Price.

as of scalar 1×8read in context →
session date
2026-07-02
minute bars
390
session vwap
305.99
unweighted avg price
306.54
final minute price
308.22
avg premium cents
55
total volume millions
60
first 30min volume pct
14.9
Rows × columns
1 × 8
Period covered
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 AAPL, July 2, 2026: session VWAP vs. equal-weight average vs. the final-minute price, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2026-07-02
minute_bars number every row is 390
session_vwap number every row is 305.99
unweighted_avg_price number every row is 306.54 US dollars
final_minute_price number every row is 308.22 US dollars
avg_premium_cents number every row is 55 US dollars
total_volume_millions number every row is 60 count
first_30min_volume_pct number every row is 14.9 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 
SELECT formatDateTime(toDate(toTimeZone(min(window_start), 'America/New_York')), '%Y-%m-%d') AS session_date,
       count() AS minute_bars,
       round(sum(close * volume) / sum(volume), 2) AS session_vwap,
       round(avg(close), 2) AS unweighted_avg_price,
       round(argMax(close, window_start), 2) AS final_minute_price,
       round((avg(close) - sum(close * volume) / sum(volume)) * 100) AS avg_premium_cents,
       round(toFloat64(sum(volume)) / 1e6) AS total_volume_millions,
       round(sumIf(toFloat64(volume), window_start < toDateTime('2026-07-02 10:00:00', 'America/New_York'))
             / toFloat64(sum(volume)) * 100, 1) AS first_30min_volume_pct
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'AAPL'
  AND 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')

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