The 61 day wash sale window around each late-December 2025 session
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 2026-10-16, from Tax-Loss Harvesting Deadlines: The Real Dates.
| sale_date | sale_label | window_opens | window_closes | sessions_before | sessions_after |
|---|---|---|---|---|---|
| 2025-12-22 | Dec 22, 2025 | Nov 22, 2025 | Jan 21, 2026 | 19 | 19 |
| 2025-12-23 | Dec 23, 2025 | Nov 23, 2025 | Jan 22, 2026 | 20 | 19 |
| 2025-12-24 | Dec 24, 2025 | Nov 24, 2025 | Jan 23, 2026 | 21 | 19 |
| 2025-12-26 | Dec 26, 2025 | Nov 26, 2025 | Jan 25, 2026 | 20 | 18 |
| 2025-12-29 | Dec 29, 2025 | Nov 29, 2025 | Jan 28, 2026 | 19 | 20 |
| 2025-12-30 | Dec 30, 2025 | Nov 30, 2025 | Jan 29, 2026 | 20 | 20 |
| 2025-12-31 | Dec 31, 2025 | Dec 1, 2025 | Jan 30, 2026 | 21 | 20 |
- Rows × columns
- 7 × 6
- 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 |
|---|---|---|---|
sale_date |
date | 2025-12-22 to 2025-12-31 | |
sale_label |
text | 7 distinct values (Dec 22, 2025, Dec 23, 2025, Dec 24, 2025…) | |
window_opens |
text | 7 distinct values (Dec 1, 2025, Nov 22, 2025, Nov 23, 2025…) | |
window_closes |
text | 7 distinct values (Jan 21, 2026, Jan 22, 2026, Jan 23, 2026…) | |
sessions_before |
number | 19 to 21 | |
sessions_after |
number | 18 to 20 |
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 toDate(toTimeZone(window_start, 'America/New_York')) AS d
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= '2025-11-18 00:00:00'
AND window_start < '2026-02-02 00:00:00'
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
)
SELECT
toString(s.d) AS sale_date,
formatDateTime(s.d, '%b %e, %Y') AS sale_label,
formatDateTime(s.d - 30, '%b %e, %Y') AS window_opens,
formatDateTime(s.d + 30, '%b %e, %Y') AS window_closes,
countIf(t.d >= s.d - 30 AND t.d < s.d) AS sessions_before,
countIf(t.d > s.d AND t.d <= s.d + 30) AS sessions_after
FROM
(
SELECT d
FROM sessions
WHERE d >= '2025-12-22'
AND d < '2026-01-01'
) AS s
CROSS JOIN sessions AS t
GROUP BY s.d
ORDER BY s.d
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.