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One full 61 day wash sale window on the tape: AAPL, Dec 1 2025 through Jan 30 2026

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.

as of series 42×3read in context →
One full 61 day wash sale window on the tape: AAPL, Dec 1 2025 through Jan 30 2026 — 42 rows by 3 columns, computed from US exchange, SIP and OPRA data.
session_dateclosechange_pct
2025-12-01283.10
2025-12-02286.191.09
2025-12-03284.150.37
2025-12-04280.7-0.85
2025-12-05278.78-1.53
2025-12-08277.89-1.84
2025-12-09277.18-2.09
2025-12-10278.78-1.53
2025-12-11278.03-1.79
2025-12-12278.28-1.7
2025-12-15274.11-3.18
2025-12-16274.61-3
2025-12-17271.84-3.98
2025-12-18272.19-3.85
2025-12-19273.67-3.33
2025-12-22270.97-4.28
2025-12-23272.36-3.79
2025-12-24273.81-3.28
2025-12-26273.4-3.43
2025-12-29273.76-3.3
2025-12-30273.08-3.54
2025-12-31271.86-3.97
2026-01-02271.01-4.27
2026-01-05267.26-5.6
2026-01-06262.36-7.33
2026-01-07260.33-8.04
2026-01-08259.04-8.5
2026-01-09259.37-8.38
2026-01-12260.25-8.07
2026-01-13261.05-7.79
2026-01-14259.96-8.17
2026-01-15258.21-8.79
2026-01-16255.53-9.74
2026-01-20246.7-12.86
2026-01-21247.65-12.52
2026-01-22248.35-12.27
2026-01-23248.04-12.38
2026-01-26255.41-9.78
2026-01-27258.27-8.77
2026-01-28256.44-9.42
2026-01-29258.28-8.77
2026-01-30259.48-8.34
Rows × columns
42 × 3
Period covered
to
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for One full 61 day wash sale window on the tape: AAPL, Dec 1 2025 through Jan 30 2026, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2025-12-01 to 2026-01-30
close number 246.7 to 286.19 US dollars
change_pct number -12.86 to 1.09 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
    toString(t.date)                              AS session_date,
    round(t.close, 2)                             AS close,
    round(100 * (t.close / a.first_close - 1), 2) AS change_pct
FROM
(
    SELECT
        date,
        toFloat64(any(close)) AS close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'AAPL'
      AND date >= '2025-12-01'
      AND date <= '2026-01-30'
    GROUP BY date
) AS t
CROSS JOIN
(
    SELECT toFloat64(argMin(close, date)) AS first_close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'AAPL'
      AND date >= '2025-12-01'
      AND date <= '2026-01-30'
) AS a
ORDER BY t.date
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