20-session regular-hours ADV: shares, dollars, and the extended-hours share (June 11 – July 10, 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 2026-07-26, from What Is Average Daily Volume (ADV)?.
| ticker | adv_shares_m | adv_dollars_bn | extended_hours_pct | sessions |
|---|---|---|---|---|
| SPY | 46.01 | 34.19 | 18.3 | 20 |
| MU | 42.01 | 44.49 | 12.1 | 20 |
| AAPL | 41.47 | 12.24 | 6.9 | 20 |
| KO | 12.4 | 1.01 | 6.6 | 20 |
| CATO | 0.05 | 0 | 0.2 | 20 |
- Rows × columns
- 5 × 5
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
ticker |
text | 5 distinct values (AAPL, CATO, KO…) | |
adv_shares_m |
number | 0.05 to 46.01 | count |
adv_dollars_bn |
number | 0 to 44.49 | |
extended_hours_pct |
number | 0.2 to 18.3 | percent |
sessions |
number | every row is 20 |
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 per_day AS (
SELECT ticker,
toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
sumIf(toFloat64(volume), formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') >= '09:30'
AND formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') < '16:00') AS rth_shares,
sumIf(toFloat64(close) * toFloat64(volume), formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') >= '09:30'
AND formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') < '16:00') AS rth_dollars,
sum(toFloat64(volume)) AS all_shares
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('SPY', 'AAPL', 'MU', 'KO', 'CATO')
AND window_start >= toDateTime('2026-06-11 00:00:00', 'America/New_York')
AND window_start < toDateTime('2026-07-11 00:00:00', 'America/New_York')
GROUP BY ticker, et_date
)
SELECT ticker,
round(avg(rth_shares) / 1e6, 2) AS adv_shares_m,
round(avg(rth_dollars) / 1e9, 2) AS adv_dollars_bn,
round(100 * (sum(all_shares) - sum(rth_shares)) / sum(all_shares), 1) AS extended_hours_pct,
count() AS sessions
FROM per_day
GROUP BY ticker
ORDER BY adv_shares_m DESC
Run your own version of this
The same 22 years of US equities and 12 years of options data are queryable in SQL or plain English. A free account runs 100 queries a day and takes no card.
More from this analysisWhat Is Average Daily Volume (ADV)?
Days to cover, recomputed: FINRA's denominator vs this page's 20-session regular-hours ADV (settlement June 30, 2026)
table 2×6
→
MU: rolling 20-session vs 90-session ADV, December 2025 through July 10, 2026 (sampled every third session)
series 49×3
→
ADV by hand: KO's five daily volumes, their sum, and the average (July 6–10, 2026)
series 5×5
→
Options ADV: average daily contracts and share-equivalent exposure (June 11 – July 10, 2026)
ranking 4×4
→
MU's sharpest 2026 volume shock: the event day vs the trailing ADV before and after
scalar 1×6
→
Dollar ADV across the whole US tape: percentiles and threshold counts (June 11 – July 10, 2026)
scalar 1×10
→
See all 2,170 queries →