Q2 month by month: April, May, June (SPY and QQQ, recomputed identically)
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 2026-07-16, from Market Recap: Q2 2026.
| period_start | ticker | month_return_pct | month_close |
|---|---|---|---|
| 2026-04-01 | QQQ | 14.8 | 667.6 |
| 2026-04-01 | SPY | 9.9 | 718.43 |
| 2026-05-01 | QQQ | 10.3 | 738.25 |
| 2026-05-01 | SPY | 4.9 | 756.4 |
| 2026-06-01 | QQQ | -0.2 | 735.76 |
| 2026-06-01 | SPY | -1.2 | 746.32 |
- Rows × columns
- 6 × 4
- Period covered
- to
- 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 |
|---|---|---|---|
period_start |
date | 2026-04-01 to 2026-06-01 | |
ticker |
text | 2 distinct values (QQQ, SPY) | |
month_return_pct |
number | -1.2 to 14.8 | percent |
month_close |
number | 667.6 to 756.4 | US dollars |
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 toString(toStartOfMonth(toDate(toTimeZone(window_start, 'America/New_York')))) AS period_start, ticker,
round((argMaxIf(toFloat64(close), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) / argMinIf(toFloat64(open), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) - 1) * 100, 1) AS month_return_pct,
round(argMaxIf(toFloat64(close), window_start, (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199), 2) AS month_close
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('SPY', 'QQQ')
AND window_start >= toDateTime('2026-04-01 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
GROUP BY period_start, ticker
ORDER BY period_start, ticker
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