The eleven S&P sector ETFs on July 1, best to worst vs Tuesday's close
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.
| ticker | prior_close | day_close | pct_chg | pct_above_worst_sector | green_so_far | day_dollar_bn |
|---|---|---|---|---|---|---|
| XLC | 107.16 | 109.74 | 2.41 | 4.97 | 1 | 1.46 |
| XLF | 53.61 | 54.79 | 2.2 | 4.76 | 2 | 2.35 |
| XLY | 117.27 | 118.07 | 0.68 | 3.24 | 3 | 1.02 |
| XLV | 158.67 | 159.57 | 0.57 | 3.13 | 4 | 1.48 |
| XLRE | 44.02 | 44.18 | 0.36 | 2.93 | 5 | 0.33 |
| XLB | 50.84 | 51 | 0.31 | 2.88 | 6 | 0.63 |
| XLP | 83.08 | 83.33 | 0.3 | 2.86 | 7 | 0.85 |
| XLE | 53.14 | 52.82 | -0.6 | 1.96 | 7 | 1.66 |
| XLI | 185.22 | 183.41 | -0.98 | 1.59 | 7 | 1.35 |
| XLU | 45.34 | 44.76 | -1.28 | 1.28 | 7 | 1.17 |
| XLK | 190.42 | 185.54 | -2.56 | 0 | 7 | 1.7 |
- Rows × columns
- 11 × 7
- 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 |
|---|---|---|---|
ticker |
text | 11 distinct values (XLB, XLC, XLE…) | |
prior_close |
number | 44.02 to 190.42 | US dollars |
day_close |
number | 44.18 to 185.54 | US dollars |
pct_chg |
number | -2.56 to 2.41 | percent |
pct_above_worst_sector |
number | 0 to 4.97 | percent |
green_so_far |
number | 1 to 7 | |
day_dollar_bn |
number | 0.33 to 2.35 |
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_name AS (
SELECT
ticker,
toFloat64(argMaxIf(close, window_start, window_start < '2026-07-01 00:00:00')) AS prior_close,
toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-01 00:00:00')) AS day_close,
round(sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-07-01 00:00:00') / 1e9, 2) AS day_dollar_bn
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('XLB', 'XLC', 'XLE', 'XLF', 'XLI', 'XLK', 'XLP', 'XLRE', 'XLU', 'XLV', 'XLY')
AND ((window_start >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00')
OR (window_start >= '2026-07-01 13:30:00' AND window_start < '2026-07-01 20:00:00'))
GROUP BY ticker
)
SELECT
ticker,
round(prior_close, 2) AS prior_close,
round(day_close, 2) AS day_close,
round((day_close / prior_close - 1) * 100, 2) AS pct_chg,
round((day_close / prior_close - 1) * 100 - min((day_close / prior_close - 1) * 100) OVER (), 2) AS pct_above_worst_sector,
sum(if(day_close > prior_close, 1, 0)) OVER (ORDER BY (day_close / prior_close) DESC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS green_so_far,
day_dollar_bn
FROM per_name
ORDER BY pct_chg DESC
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