How many trading sessions fit inside a 61 day wash sale window
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 2026-08-13, from Wash Sale Rule and Options: The 61-Day Window.
| month | last_session | sessions_in_window | calendar_days_in_window |
|---|---|---|---|
| 2024-01-01 | 2024-01-31 | 42 | 61 |
| 2024-02-01 | 2024-02-29 | 42 | 61 |
| 2024-03-01 | 2024-03-28 | 43 | 61 |
| 2024-04-01 | 2024-04-30 | 43 | 61 |
| 2024-05-01 | 2024-05-31 | 41 | 61 |
| 2024-06-01 | 2024-06-28 | 41 | 61 |
| 2024-07-01 | 2024-07-31 | 44 | 61 |
| 2024-08-01 | 2024-08-30 | 42 | 61 |
| 2024-09-01 | 2024-09-30 | 42 | 61 |
| 2024-10-01 | 2024-10-31 | 43 | 61 |
| 2024-11-01 | 2024-11-29 | 41 | 61 |
| 2024-12-01 | 2024-12-31 | 40 | 61 |
| 2025-01-01 | 2025-01-31 | 39 | 61 |
| 2025-02-01 | 2025-02-28 | 42 | 61 |
| 2025-03-01 | 2025-03-31 | 42 | 61 |
| 2025-04-01 | 2025-04-30 | 43 | 61 |
| 2025-05-01 | 2025-05-30 | 41 | 61 |
| 2025-06-01 | 2025-06-30 | 41 | 61 |
| 2025-07-01 | 2025-07-31 | 43 | 61 |
| 2025-08-01 | 2025-08-29 | 42 | 61 |
| 2025-09-01 | 2025-09-30 | 43 | 61 |
| 2025-10-01 | 2025-10-31 | 42 | 61 |
| 2025-11-01 | 2025-11-28 | 41 | 61 |
| 2025-12-01 | 2025-12-31 | 42 | 61 |
| 2026-01-01 | 2026-01-30 | 40 | 61 |
| 2026-02-01 | 2026-02-27 | 42 | 61 |
| 2026-03-01 | 2026-03-31 | 43 | 61 |
| 2026-04-01 | 2026-04-30 | 42 | 61 |
| 2026-05-01 | 2026-05-29 | 41 | 61 |
| 2026-06-01 | 2026-06-30 | 42 | 61 |
- Rows × columns
- 30 × 4
- Period covered
- to
- 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 |
|---|---|---|---|
month |
date | 2024-01-01 to 2026-06-01 | |
last_session |
date | 2024-01-31 to 2026-06-30 | |
sessions_in_window |
number | 39 to 44 | |
calendar_days_in_window |
number | every row is 61 |
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 sessions AS
(
SELECT DISTINCT date AS d
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
AND date >= '2023-11-01'
),
month_ends AS
(
SELECT
toStartOfMonth(d) AS m,
max(d) AS anchor
FROM sessions
WHERE d >= '2024-01-01'
AND d < '2026-07-01'
GROUP BY m
)
SELECT
toString(me.m) AS month,
toString(me.anchor) AS last_session,
countIf(s.d >= me.anchor - 30 AND s.d <= me.anchor + 30) AS sessions_in_window,
61 AS calendar_days_in_window
FROM month_ends AS me
CROSS JOIN sessions AS s
GROUP BY me.m, me.anchor
ORDER BY me.m
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