STRASMORE/EXPLORE 3,094 QUERIES

SPY daily closes across a pinned 61 day wash sale window, Jan to Mar 2025

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 2026-10-05, from Is There a Minimum Holding Period for Stocks?.

as of series 41×4read in context →
SPY daily closes across a pinned 61 day wash sale window, Jan to Mar 2025 — 41 rows by 4 columns, computed from US exchange, SIP and OPRA data.
datesession_labelclosechange_pct
2025-01-15Jan 15, 2025592.78-2.78
2025-01-16Jan 16, 2025591.64-2.96
2025-01-17Jan 17, 2025597.58-1.99
2025-01-21Jan 21, 2025603.05-1.09
2025-01-22Jan 22, 2025606.44-0.53
2025-01-23Jan 23, 2025609.750.01
2025-01-24Jan 24, 2025607.97-0.28
2025-01-27Jan 27, 2025599.37-1.69
2025-01-28Jan 28, 2025604.52-0.85
2025-01-29Jan 29, 2025601.81-1.29
2025-01-30Jan 30, 2025605.04-0.76
2025-01-31Jan 31, 2025601.82-1.29
2025-02-03Feb 3, 2025597.77-1.96
2025-02-04Feb 4, 2025601.78-1.3
2025-02-05Feb 5, 2025604.22-0.9
2025-02-06Feb 6, 2025606.32-0.55
2025-02-07Feb 7, 2025600.77-1.46
2025-02-10Feb 10, 2025604.85-0.8
2025-02-11Feb 11, 2025605.31-0.72
2025-02-12Feb 12, 2025603.36-1.04
2025-02-13Feb 13, 2025609.730
2025-02-14Feb 14, 2025609.70
2025-02-18Feb 18, 2025611.490.29
2025-02-19Feb 19, 2025612.930.53
2025-02-20Feb 20, 2025610.380.11
2025-02-21Feb 21, 2025599.94-1.6
2025-02-24Feb 24, 2025597.21-2.05
2025-02-25Feb 25, 2025594.24-2.54
2025-02-26Feb 26, 2025594.54-2.49
2025-02-27Feb 27, 2025585.05-4.04
2025-02-28Feb 28, 2025594.18-2.55
2025-03-03Mar 3, 2025583.77-4.25
2025-03-04Mar 4, 2025576.86-5.39
2025-03-05Mar 5, 2025583.06-4.37
2025-03-06Mar 6, 2025572.71-6.07
2025-03-07Mar 7, 2025575.92-5.54
2025-03-10Mar 10, 2025560.58-8.06
2025-03-11Mar 11, 2025555.92-8.82
2025-03-12Mar 12, 2025558.87-8.34
2025-03-13Mar 13, 2025551.42-9.56
2025-03-14Mar 14, 2025562.81-7.69
Rows × columns
41 × 4
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 SPY daily closes across a pinned 61 day wash sale window, Jan to Mar 2025, derived from the stored result.
ColumnTypeRangeNotes
date date 2025-01-15 to 2025-03-14
session_label text 41 distinct values (Feb 10, 2025, Feb 11, 2025, Feb 12, 2025…)
close number 551.42 to 612.93 US dollars
change_pct number -9.56 to 0.53 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.

WITH
(
    SELECT toFloat64(any(close))
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'SPY'
      AND date = '2025-02-14'
) AS sale_day_close
SELECT
    toString(date)                                          AS date,
    formatDateTime(toDate(date), '%b %e, %Y')               AS session_label,
    round(toFloat64(close), 2)                              AS close,
    round(100 * (toFloat64(close) / sale_day_close - 1), 2) AS change_pct
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
  AND date >= '2025-01-15'
  AND date <= '2025-03-16'
ORDER BY date
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