STRASMORE/EXPLORE 2,433 QUERIES

SPY's open-to-close move ranked against the trailing month of sessions (rank 1 = biggest absolute move)

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 2026-07-26, from Market Recap: July 1, 2026, The Day in Numbers.

as of scalar 1×4read in context →
day move pct
0.09
abs move rank
20
sessions compared
22
first session
2026-06-01
Rows × columns
1 × 4
Period covered
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's open-to-close move ranked against the trailing month of sessions (rank 1 = biggest absolute move), derived from the stored result.
ColumnTypeRangeNotes
day_move_pct number every row is 0.09 percent
abs_move_rank number every row is 20
sessions_compared number every row is 22
first_session date 2026-06-01

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 round(anyIf(oc_pct, d = toDate('2026-07-01')), 2) AS day_move_pct,
       arrayCount(x -> x > abs(anyIf(oc_pct, d = toDate('2026-07-01'))), groupArrayIf(abs(oc_pct), d != toDate('2026-07-01'))) + 1 AS abs_move_rank,
       count() AS sessions_compared,
       toString(min(d)) AS first_session
FROM (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           (argMax(toFloat64(close), window_start) / argMin(toFloat64(open), window_start) - 1) * 100 AS oc_pct
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= toDateTime('2026-06-01 00:00:00')
      AND window_start < toDateTime('2026-07-02 00:00:00')
      AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
    GROUP BY d
)
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