Medline (MDLN): the 20 sessions before its 180-day mark vs. every session from it, regular-hours volume and daily range
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 Stock Float vs. Shares Outstanding Explained.
| window | listed_on | shares_offered_m | sessions | first_session | last_session | median_daily_volume_m | median_daily_range_pct |
|---|---|---|---|---|---|---|---|
| 1. 20 sessions before | Dec 17, 2025 | 248.4 | 20 | May 15 | Jun 12 | 8.61 | 4.53 |
| 2. from the 180-day mark | Dec 17, 2025 | 248.4 | 18 | Jun 15 | Jul 10 | 6.42 | 4.14 |
- Rows × columns
- 2 × 8
- 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 |
|---|---|---|---|
window |
text | 2 distinct values | |
listed_on |
text | 1 distinct value (Dec 17, 2025) | |
shares_offered_m |
number | every row is 248.4 | count |
sessions |
number | 18 to 20 | |
first_session |
text | 2 distinct values (Jun 15, May 15) | |
last_session |
text | 2 distinct values (Jul 10, Jun 12) | |
median_daily_volume_m |
number | 6.42 to 8.61 | count |
median_daily_range_pct |
number | 4.14 to 4.53 | 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 ipo AS (
SELECT concat(formatDateTime(listing_date, '%b'), ' ', toString(toDayOfMonth(listing_date)), ', ', toString(toYear(listing_date))) AS listed_on,
round(max_shares_offered / 1e6, 1) AS shares_offered_m
FROM global_markets.stocks_ipos
WHERE ticker = 'MDLN'
AND ipo_status = 'history'
AND listing_date >= '2025-12-01'
AND listing_date <= '2025-12-31'
LIMIT 1
),
daily AS (
SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS session,
toFloat64(max(high)) AS hi,
toFloat64(min(low)) AS lo,
sum(toFloat64(volume)) AS shares_traded
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'MDLN'
AND window_start >= toDateTime('2026-05-15 09:30:00', 'America/New_York')
AND window_start < toDateTime('2026-07-11 00:00:00', 'America/New_York')
AND toHour(toTimeZone(window_start, 'America/New_York')) >= 9
AND toHour(toTimeZone(window_start, 'America/New_York')) < 16
AND NOT (toHour(toTimeZone(window_start, 'America/New_York')) = 9
AND toMinute(toTimeZone(window_start, 'America/New_York')) < 30)
GROUP BY session
HAVING lo > 0
)
SELECT if(session < toDate('2026-06-15'), '1. 20 sessions before', '2. from the 180-day mark') AS window,
any(listed_on) AS listed_on,
any(shares_offered_m) AS shares_offered_m,
count() AS sessions,
concat(formatDateTime(min(session), '%b'), ' ', toString(toDayOfMonth(min(session)))) AS first_session,
concat(formatDateTime(max(session), '%b'), ' ', toString(toDayOfMonth(max(session)))) AS last_session,
round(quantileDeterministic(0.5)(shares_traded, cityHash64(session)) / 1e6, 2) AS median_daily_volume_m,
round(quantileDeterministic(0.5)(100 * (hi - lo) / lo, cityHash64(session)), 2) AS median_daily_range_pct
FROM daily
CROSS JOIN ipo
GROUP BY window
ORDER BY window
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