This week against the trailing year of weeks: SPY, open-to-close within each week (rank 1 = best; short weeks excluded)
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: Week of June 29, 2026.
week 2026 pct
1.12
rank best
14
weeks compared
53
first week
2025-06-30
sessions this week
4
- Rows × columns
- 1 × 5
- Period covered
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
week_2026_pct |
number | every row is 1.12 | percent |
rank_best |
number | every row is 14 | |
weeks_compared |
number | every row is 53 | |
first_week |
date | 2025-06-30 | |
sessions_this_week |
number | every row is 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.
the exact SQL behind every number
SELECT round(anyIf(ret, wk = toDate('2026-06-29')), 2) AS week_2026_pct,
arrayCount(x -> x > anyIf(ret, wk = toDate('2026-06-29')), groupArrayIf(ret, wk != toDate('2026-06-29'))) + 1 AS rank_best,
count() AS weeks_compared,
toString(min(wk)) AS first_week,
anyIf(sessions, wk = toDate('2026-06-29')) AS sessions_this_week
FROM (
SELECT toStartOfWeek(toDate(toTimeZone(window_start, 'America/New_York')), 1) AS wk,
uniqExact(toDate(toTimeZone(window_start, 'America/New_York'))) AS sessions,
(argMax(toFloat64(close), window_start) / argMin(toFloat64(open), window_start) - 1) * 100 AS ret
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= toDateTime('2025-06-29 00:00:00')
AND window_start < toDateTime('2026-07-03 00:00:00')
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
GROUP BY wk
HAVING sessions >= 3
)
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