ADV by hand: KO's five daily volumes, their sum, and the average (July 6–10, 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)?.
| session_date | shares_m | five_day_total_m | adv_m | one_pct_of_adv_k |
|---|---|---|---|---|
| 2026-07-06 | 10.7 | 52.8 | 10.6 | 106 |
| 2026-07-07 | 12.1 | 52.8 | 10.6 | 106 |
| 2026-07-08 | 10.7 | 52.8 | 10.6 | 106 |
| 2026-07-09 | 11 | 52.8 | 10.6 | 106 |
| 2026-07-10 | 8.3 | 52.8 | 10.6 | 106 |
- Rows × columns
- 5 × 5
- Period covered
- to
- 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 |
|---|---|---|---|
session_date |
date | 2026-07-06 to 2026-07-10 | |
shares_m |
number | 8.3 to 12.1 | count |
five_day_total_m |
number | every row is 52.8 | |
adv_m |
number | every row is 10.6 | |
one_pct_of_adv_k |
number | every row is 106 | 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 session_date,
shares_m,
round(sum(shares_m) OVER (), 1) AS five_day_total_m,
round(avg(shares_m) OVER (), 1) AS adv_m,
round(avg(shares_m) OVER () * 0.01 * 1000, 0) AS one_pct_of_adv_k
FROM (
SELECT formatDateTime(toDate(toTimeZone(window_start, 'America/New_York')), '%Y-%m-%d') AS session_date,
round(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') / 1e6, 1) AS shares_m
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'KO'
AND window_start >= toDateTime('2026-07-06 00:00:00', 'America/New_York')
AND window_start < toDateTime('2026-07-11 00:00:00', 'America/New_York')
GROUP BY session_date
)
ORDER BY session_date
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