Calendar days from transaction date to Form 4 filing 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 2026-08-08, from How to Read a Form 4 Insider Trading Filing.
| lag_bucket | transaction_count | share_pct |
|---|---|---|
| Same day | 111504 | 8.5 |
| 1 calendar day | 282927 | 21.6 |
| 2 calendar days | 452531 | 34.6 |
| 3 calendar days | 107353 | 8.2 |
| 4 to 7 days | 316357 | 24.2 |
| More than 7 days | 37155 | 2.8 |
- Rows × columns
- 6 × 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 |
|---|---|---|---|
lag_bucket |
text | 6 distinct values | |
transaction_count |
number | 37,155 to 452,531 | count |
share_pct |
number | 2.8 to 34.6 | 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.
SELECT
multiIf(
f.lag_days = 0, 'Same day',
f.lag_days = 1, '1 calendar day',
f.lag_days = 2, '2 calendar days',
f.lag_days = 3, '3 calendar days',
f.lag_days <= 7, '4 to 7 days',
'More than 7 days') AS lag_bucket,
count() AS transaction_count,
round(100 * count() / any(t.total_lines), 1) AS share_pct
FROM
(
SELECT dateDiff('day', transaction_date, filing_date) AS lag_days
FROM global_markets.stocks_form4
WHERE filing_date >= toDate('2025-08-01')
AND filing_date < toDate('2026-08-01')
AND form_type = '4'
AND transaction_date >= toDate('2025-06-01')
AND transaction_date <= filing_date
) AS f
CROSS JOIN
(
SELECT count() AS total_lines
FROM global_markets.stocks_form4
WHERE filing_date >= toDate('2025-08-01')
AND filing_date < toDate('2026-08-01')
AND form_type = '4'
AND transaction_date >= toDate('2025-06-01')
AND transaction_date <= filing_date
) AS t
GROUP BY lag_bucket
ORDER BY min(f.lag_days)
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