The eleven sector baskets: June 29 vs the June 26 close, regular hours
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: June 29, 2026, The Day in Numbers.
| sector | ticker | pct_change | range_pct | dollar_volume_m | pct_above_worst_sector |
|---|---|---|---|---|---|
| Technology | XLK | 2.52 | 3.91 | 2075 | 4.34 |
| Consumer discretionary | XLY | 2.37 | 2.17 | 1142 | 4.2 |
| Communication services | XLC | 1.66 | 0.78 | 669 | 3.48 |
| Industrials | XLI | 0.89 | 1.23 | 1231 | 2.72 |
| Financials | XLF | 0.28 | 0.64 | 1593 | 2.1 |
| Health care | XLV | 0.26 | 0.76 | 1897 | 2.08 |
| Utilities | XLU | -0.32 | 1.18 | 759 | 1.5 |
| Consumer staples | XLP | -0.38 | 1.23 | 764 | 1.44 |
| Energy | XLE | -0.52 | 1.51 | 1098 | 1.3 |
| Real estate | XLRE | -0.64 | 1.45 | 217 | 1.18 |
| Materials | XLB | -1.82 | 2.28 | 626 | 0 |
- Rows × columns
- 11 × 6
- 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 |
|---|---|---|---|
sector |
text | 11 distinct values | |
ticker |
text | 11 distinct values (XLB, XLC, XLE…) | |
pct_change |
number | -1.82 to 2.52 | percent |
range_pct |
number | 0.64 to 3.91 | percent |
dollar_volume_m |
number | 217 to 2,075 | count |
pct_above_worst_sector |
number | 0 to 4.34 | 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.
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.
WITH per_etf AS (
SELECT
ticker,
toFloat64(argMaxIf(close, window_start, window_start < '2026-06-27 00:00:00')) AS friday_close,
toFloat64(argMaxIf(close, window_start, window_start >= '2026-06-29 00:00:00')) AS monday_close,
maxIf(toFloat64(high), window_start >= '2026-06-29 00:00:00') AS day_high,
minIf(toFloat64(low), window_start >= '2026-06-29 00:00:00') AS day_low,
round(sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-06-29 00:00:00') / 1e6, 0) AS dollar_volume_m
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('XLB', 'XLC', 'XLE', 'XLF', 'XLI', 'XLK', 'XLP', 'XLRE', 'XLU', 'XLV', 'XLY')
AND ((window_start >= '2026-06-26 13:30:00' AND window_start < '2026-06-26 20:00:00')
OR (window_start >= '2026-06-29 13:30:00' AND window_start < '2026-06-29 20:00:00'))
GROUP BY ticker
)
SELECT
sector,
ticker,
round((monday_close / friday_close - 1) * 100, 2) AS pct_change,
round((day_high / day_low - 1) * 100, 2) AS range_pct,
dollar_volume_m,
round((monday_close / friday_close - 1) * 100 - min((monday_close / friday_close - 1) * 100) OVER (), 2) AS pct_above_worst_sector
FROM (
SELECT *,
multiIf(ticker = 'XLB', 'Materials',
ticker = 'XLC', 'Communication services',
ticker = 'XLE', 'Energy',
ticker = 'XLF', 'Financials',
ticker = 'XLI', 'Industrials',
ticker = 'XLK', 'Technology',
ticker = 'XLP', 'Consumer staples',
ticker = 'XLRE', 'Real estate',
ticker = 'XLU', 'Utilities',
ticker = 'XLV', 'Health care',
'Consumer discretionary') AS sector
FROM per_etf
)
ORDER BY pct_change DESC
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