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Daily open-to-close gap versus SPY, in basis points, July to December 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 2026-10-16, from Tax-Loss Harvesting Deadlines: The Real Dates.

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Daily open-to-close gap versus SPY, in basis points, July to December 2025 — 4 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickermedian_gap_bpsmax_gap_bps
VOO0.86.7
IVV0.84
QQQ16.6121.4
RSP27.9120.8
Rows × columns
4 × 3
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 Daily open-to-close gap versus SPY, in basis points, July to December 2025, derived from the stored result.
ColumnTypeRangeNotes
ticker text 4 distinct values (IVV, QQQ, RSP…)
median_gap_bps number 0.8 to 27.9
max_gap_bps number 4 to 121.4

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 moves AS
(
    SELECT
        ticker,
        date,
        toFloat64(close) / toFloat64(open) - 1 AS pct_move
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('SPY', 'IVV', 'VOO', 'RSP', 'QQQ')
      AND date >= '2025-07-01'
      AND date <= '2025-12-31'
      AND open > 0
)
SELECT
    f.ticker AS ticker,
    round(quantileDeterministic(0.5)(abs(f.pct_move - b.spy_move) * 10000, toUInt64(f.date)), 1) AS median_gap_bps,
    round(max(abs(f.pct_move - b.spy_move)) * 10000, 1)                                          AS max_gap_bps
FROM moves AS f
INNER JOIN
(
    SELECT date, pct_move AS spy_move
    FROM moves
    WHERE ticker = 'SPY'
) AS b USING (date)
WHERE f.ticker != 'SPY'
GROUP BY f.ticker
ORDER BY median_gap_bps
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