MU's sharpest 2026 volume shock: the event day vs the trailing ADV before and after
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)?.
- Rows × columns
- 1 × 6
- 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 |
|---|---|---|---|
event_date |
date | 2026-03-19 | |
event_day_shares_m |
number | every row is 64.7 | count |
adv_20_before_m |
number | every row is 28.7 | |
event_vs_prior_adv_x |
number | every row is 2.3 | |
adv_20_after_m |
number | every row is 45 | |
adv_shift_pct |
number | every row is 57 | 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.
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 daily AS (
SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
sum(toFloat64(volume)) AS day_shares
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'MU'
AND window_start >= toDateTime('2025-11-01 00:00:00', 'America/New_York')
AND window_start < toDateTime('2026-07-11 00:00:00', 'America/New_York')
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
GROUP BY et_date
),
ranked AS (
SELECT et_date, day_shares,
day_shares / avg(day_shares) OVER (ORDER BY et_date ROWS BETWEEN 20 PRECEDING AND 1 PRECEDING) AS shock_ratio,
row_number() OVER (ORDER BY et_date) AS rn
FROM daily
),
biggest AS (
SELECT et_date, day_shares, shock_ratio
FROM ranked
WHERE rn > 20 AND et_date >= toDate('2026-01-01')
ORDER BY shock_ratio DESC, et_date ASC
LIMIT 1
),
before AS (
SELECT avg(day_shares) AS adv FROM (
SELECT day_shares FROM daily WHERE et_date < (SELECT et_date FROM biggest) ORDER BY et_date DESC LIMIT 20
)
),
after AS (
SELECT avg(day_shares) AS adv FROM (
SELECT day_shares FROM daily WHERE et_date >= (SELECT et_date FROM biggest) ORDER BY et_date ASC LIMIT 20
)
)
SELECT formatDateTime((SELECT et_date FROM biggest), '%Y-%m-%d') AS event_date,
round((SELECT day_shares FROM biggest) / 1e6, 1) AS event_day_shares_m,
round((SELECT adv FROM before) / 1e6, 1) AS adv_20_before_m,
round((SELECT shock_ratio FROM biggest), 1) AS event_vs_prior_adv_x,
round((SELECT adv FROM after) / 1e6, 1) AS adv_20_after_m,
round(100 * ((SELECT adv FROM after) / (SELECT adv FROM before) - 1), 0) AS adv_shift_pct
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