MU, the biggest-volume session of June 2026: time-adjusted vs. naive RVOL, plus the full-day figure
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 2026-10-04, from What Is RVOL (Relative Volume)? How to Read It.
- 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
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
session_date |
date | 2026-06-25 | |
vol_by_1030_m |
number | every row is 32.8 | |
avg_vol_by_1030_m |
number | every row is 17.3 | |
rvol_1030_adjusted |
number | every row is 1.9 | |
rvol_1030_naive |
number | every row is 0.64 | |
session_volume_m |
number | every row is 77.2 | count |
trailing_adv_m |
number | every row is 51 | |
rvol_full_day |
number | every row is 1.5 |
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.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
WITH mu_daily AS (
SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
sum(toFloat64(volume)) AS day_volume,
sumIf(toFloat64(volume), formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') < '10:30') AS vol_by_1030
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'MU'
AND window_start >= toDateTime('2026-04-15 00:00:00', 'America/New_York')
AND window_start < toDateTime('2026-07-01 00:00:00', 'America/New_York')
GROUP BY et_date
HAVING day_volume > 1000000
),
biggest AS (
SELECT et_date, day_volume, vol_by_1030
FROM mu_daily
WHERE et_date >= toDate('2026-06-01') AND et_date <= toDate('2026-06-30')
ORDER BY day_volume DESC
LIMIT 1
),
trailing AS (
SELECT sum(day_volume) / 20 AS adv, sum(vol_by_1030) / 20 AS avg_by_1030
FROM (
SELECT day_volume, vol_by_1030
FROM mu_daily
WHERE et_date < (SELECT et_date FROM biggest)
ORDER BY et_date DESC
LIMIT 20
)
)
SELECT formatDateTime((SELECT et_date FROM biggest), '%Y-%m-%d') AS session_date,
round((SELECT vol_by_1030 FROM biggest) / 1e6, 1) AS vol_by_1030_m,
round((SELECT avg_by_1030 FROM trailing) / 1e6, 1) AS avg_vol_by_1030_m,
round((SELECT vol_by_1030 FROM biggest) / (SELECT avg_by_1030 FROM trailing), 1) AS rvol_1030_adjusted,
round((SELECT vol_by_1030 FROM biggest) / (SELECT adv FROM trailing), 2) AS rvol_1030_naive,
round((SELECT day_volume FROM biggest) / 1e6, 1) AS session_volume_m,
round((SELECT adv FROM trailing) / 1e6, 1) AS trailing_adv_m,
round((SELECT day_volume FROM biggest) / (SELECT adv FROM trailing), 1) AS rvol_full_day
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