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How far the S&P 500 tracker moved open to close: sessions by size band, July 2025 to June 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 2026-08-01, from When Do Mutual Fund Trades Settle?.

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How far the S&P 500 tracker moved open to close: sessions by size band, July 2025 to June 2026 — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
move_bandsession_countshare_pct
under 0.25%8232.7
0.25% to 0.5%7027.9
0.5% to 1%7529.9
1% to 2%228.8
2% and up20.8
Rows × columns
5 × 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 How far the S&P 500 tracker moved open to close: sessions by size band, July 2025 to June 2026, derived from the stored result.
ColumnTypeRangeNotes
move_band text 5 distinct values (0.25% to 0.5%, 0.5% to 1%, 1% to 2%…)
session_count number 2 to 82 count
share_pct number 0.8 to 32.7 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.

the exact SQL behind every number
WITH daily AS (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
           argMin(open, window_start) AS session_open,
           argMax(close, window_start) AS session_close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND toDate(toTimeZone(window_start, 'America/New_York')) BETWEEN toDate('2025-07-01') AND toDate('2026-06-30')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY session_date
),
moves AS (
    SELECT round(abs(session_close - session_open) / session_open * 100, 3) AS abs_move_pct
    FROM daily
    WHERE session_open > 0
)
SELECT multiIf(abs_move_pct < 0.25, 'under 0.25%',
               abs_move_pct < 0.5, '0.25% to 0.5%',
               abs_move_pct < 1, '0.5% to 1%',
               abs_move_pct < 2, '1% to 2%',
               '2% and up') AS move_band,
       count() AS session_count,
       round(100 * count() / sum(count()) OVER (), 1) AS share_pct
FROM moves
GROUP BY move_band
ORDER BY min(abs_move_pct)

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