Reddit share volume by window, counted in days from the March 20, 2024 pricing date
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 2026-08-03, from How to Find a Lockup Expiration Date.
| window_label | avg_daily_volume_m | busiest_session_m |
|---|---|---|
| Days 1-30 | 10.17 | 48.53 |
| Days 31-90 | 3.53 | 14.98 |
| Days 91-170 | 3.39 | 14.21 |
| Days 171-200 | 3.92 | 7.2 |
| Days 201-365 | 6.6 | 37.26 |
- Rows × columns
- 5 × 3
- 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_label |
text | 5 distinct values (Days 1-30, Days 171-200, Days 201-365…) | |
avg_daily_volume_m |
number | 3.39 to 10.17 | count |
busiest_session_m |
number | 7.2 to 48.53 |
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 session_date,
toFloat64(sum(volume)) AS shares
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'RDDT'
AND window_start >= toDateTime('2024-03-21 00:00:00')
AND window_start < toDateTime('2025-03-21 00:00:00')
GROUP BY session_date
)
SELECT multiIf(dateDiff('day', toDate('2024-03-20'), session_date) <= 30, 'Days 1-30',
dateDiff('day', toDate('2024-03-20'), session_date) <= 90, 'Days 31-90',
dateDiff('day', toDate('2024-03-20'), session_date) <= 170, 'Days 91-170',
dateDiff('day', toDate('2024-03-20'), session_date) <= 200, 'Days 171-200',
'Days 201-365') AS window_label,
round(avg(shares) / 1e6, 2) AS avg_daily_volume_m,
round(max(shares) / 1e6, 2) AS busiest_session_m
FROM daily
GROUP BY window_label
ORDER BY min(dateDiff('day', toDate('2024-03-20'), session_date))
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