STRASMORE/EXPLORE 2,170 QUERIES

Median quoted spread by sector ETF, one representative session (June 29, 2026), 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 Sector Scorecard H1 2026: Winners and Losers.

as of ranking 11×4read in context →
Median quoted spread by sector ETF, one representative session (June 29, 2026), regular hours — 11 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickermed_spread_bpsquote_updates_minvalid_dropped
XLV0.622.11150
XLY0.861.1921
XLC0.931.1282
XLI1.11.3812
XLK1.12.7255
XLP1.180.7633
XLE1.850.591
XLF1.860.382
XLB1.970.410
XLU2.180.296
XLRE2.230.280
Rows × columns
11 × 4
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 Median quoted spread by sector ETF, one representative session (June 29, 2026), regular hours, derived from the stored result.
ColumnTypeRangeNotes
ticker text 11 distinct values (XLB, XLC, XLE…)
med_spread_bps number 0.62 to 2.23
quote_updates_m number 0.28 to 2.72
invalid_dropped number 0 to 150

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 ticker,
    round(quantileDeterministicIf(0.5)((toFloat64(ask_price) - toFloat64(bid_price)) / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2) * 10000, toUInt64(toUnixTimestamp64Micro(sip_timestamp)), bid_price > 0 AND ask_price >= bid_price), 2) AS med_spread_bps,
    round(count() / 1e6, 2) AS quote_updates_m,
    countIf(NOT (bid_price > 0 AND ask_price > 0 AND ask_price >= bid_price)) AS invalid_dropped
FROM global_markets.cache_stocks_quotes
WHERE ticker IN ('XLB', 'XLC', 'XLE', 'XLF', 'XLI', 'XLK', 'XLP', 'XLRE', 'XLU', 'XLV', 'XLY')
  AND sip_timestamp >= toDateTime64('2026-06-29 13:30:00', 9) AND sip_timestamp < toDateTime64('2026-06-29 20:00:00', 9)
GROUP BY ticker
ORDER BY med_spread_bps, ticker

Run your own version of this

The same 22 years of US equities and 12 years of options data are queryable in SQL or plain English. A free account runs 100 queries a day and takes no card.

More from this analysisSector Scorecard H1 2026: Winners and Losers
Sector ETF dollar volume, Q1 vs Q2 2026: every fund traded less in the recovery quarter ranking 11×4 XLE, XLF, and XLK by month: the H1 2026 rotation at month grain series 18×3 The eleven sector ETFs: H1 2026 return, Q1 and Q2 split, and H1 dollar volume table 11×5 Five-name baskets per sector: members up vs down, median, best and worst, H1 2026 table 11×9 Eight heavily traded chip and memory names: H1 return, quarter split, H1 dollar volume table 8×5 One semiconductor selloff, four funds: SOXX, USD, SOXL, SOXS on July 13, 2026 ranking 4×2 See all 2,170 queries →