STRASMORE/EXPLORE 3,214 QUERIES

Quoted spread across six household names, 10:00 to 10:10 ET on 2026-09-15

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 2026-10-08, from Market Orders With Protection on CME Globex.

as of ranking 6×4read in context →
Quoted spread across six household names, 10:00 to 10:10 ET on 2026-09-15 — 6 rows by 4 columns, computed from US exchange, SIP and OPRA data.
symbolspread_bpsone_cent_bpsquote_count
SPY0.250.1372284
NVDA1.080.4765864
AAPL1.260.328539
KO1.291.1316486
MSFT2.020.27885
F7.37.294328
Rows × columns
6 × 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 Quoted spread across six household names, 10:00 to 10:10 ET on 2026-09-15, derived from the stored result.
ColumnTypeRangeNotes
symbol text 6 distinct values (AAPL, F, KO…)
spread_bps number 0.25 to 7.3
one_cent_bps number 0.13 to 7.29
quote_count number 4,328 to 72,284 count

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.

SELECT
    ticker                                                                            AS symbol,
    round(avg((toFloat64(ask_price) - toFloat64(bid_price))
              / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2)) * 10000, 2)      AS spread_bps,
    round(avg(0.01 / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2)) * 10000, 2) AS one_cent_bps,
    count()                                                                           AS quote_count
FROM global_markets.cache_stocks_quotes
WHERE ticker IN ('SPY', 'AAPL', 'MSFT', 'NVDA', 'KO', 'F')
  AND sip_timestamp >= toDateTime('2026-09-15 14:00:00', 'UTC')
  AND sip_timestamp <  toDateTime('2026-09-15 14:10:00', 'UTC')
  AND bid_price > 0
  AND ask_price > bid_price
  AND (toFloat64(ask_price) - toFloat64(bid_price)) / toFloat64(bid_price) < 0.05
GROUP BY ticker
ORDER BY spread_bps
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