STRASMORE/EXPLORE 2,170 QUERIES

SPY and QQQ 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 2, 2026, The Day in Numbers.

as of scalar 1×7read in context →
spy open to close pct
-0.35
spy abs move rank
15
spy sessions compared
22
qqq close over close pct
-1.71
qqq abs move rank
9
qqq sessions compared
21
first session
2026-06-02
Rows × columns
1 × 7
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 and QQQ ranked against the trailing month of sessions (rank 1 = biggest absolute move), derived from the stored result.
ColumnTypeRangeNotes
spy_open_to_close_pct number every row is -0.35 percent
spy_abs_move_rank number every row is 15
spy_sessions_compared number every row is 22
qqq_close_over_close_pct number every row is -1.71 percent
qqq_abs_move_rank number every row is 9
qqq_sessions_compared number every row is 21
first_session date 2026-06-02

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 per_day AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           (argMax(toFloat64(close), window_start) / argMin(toFloat64(open), window_start) - 1) * 100 AS oc_pct,
           argMax(toFloat64(close), window_start) AS rth_close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'QQQ')
      AND window_start >= toDateTime('2026-06-02 00:00:00')
      AND window_start < toDateTime('2026-07-03 00:00:00')
      AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
    GROUP BY ticker, d
),
with_prev AS (
    SELECT ticker, d, oc_pct,
           lagInFrame(rth_close) OVER (PARTITION BY ticker ORDER BY d) AS prev_close,
           (rth_close / lagInFrame(rth_close) OVER (PARTITION BY ticker ORDER BY d) - 1) * 100 AS cc_pct
    FROM per_day
)
SELECT
    round(anyIf(oc_pct, ticker = 'SPY' AND d = toDate('2026-07-02')), 2) AS spy_open_to_close_pct,
    arrayCount(x -> x > abs(anyIf(oc_pct, ticker = 'SPY' AND d = toDate('2026-07-02'))),
               groupArrayIf(abs(oc_pct), ticker = 'SPY' AND d != toDate('2026-07-02'))) + 1 AS spy_abs_move_rank,
    countIf(ticker = 'SPY') AS spy_sessions_compared,
    round(anyIf(cc_pct, ticker = 'QQQ' AND d = toDate('2026-07-02')), 2) AS qqq_close_over_close_pct,
    arrayCount(x -> x > abs(anyIf(cc_pct, ticker = 'QQQ' AND d = toDate('2026-07-02'))),
               groupArrayIf(abs(cc_pct), ticker = 'QQQ' AND d != toDate('2026-07-02') AND isFinite(cc_pct) AND prev_close > 0)) + 1 AS qqq_abs_move_rank,
    countIf(ticker = 'QQQ' AND isFinite(cc_pct) AND prev_close > 0) AS qqq_sessions_compared,
    toString(minIf(d, ticker = 'SPY')) AS first_session
FROM with_prev

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More from this analysisMarket Recap: July 2, 2026, The Day in Numbers
Session check: SPY's observed minute-bar span, and the July 3 closure on the tape scalar 1×6 → One row for the whole options day: volume, same-day expiry, the holiday-shifted week, and the July monthly scalar 1×19 → After the holiday: the next session, its ex-dividends and splits, the next scheduled closure, and the short-interest lag scalar 1×9 → The receipt: the July 2 treasury print is on file scalar 1×2 → Was liquidity unusual? SPY's regular-hours median spread vs the trailing month of sessions scalar 1×6 → Stocks NBBO update count: July 2 vs July 1, with named-ticker updates (millions) scalar 1×6 → See all 2,170 queries →