STRASMORE/EXPLORE 3,022 QUERIES

Quoted spread across six names, one 15-minute slice

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 2026-10-04, from Marketable vs Non-Marketable Limit Orders.

as of ranking 6×4read in context →
Quoted spread across six names, one 15-minute slice — 6 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerspread_centsspread_bpspenny_wide_pct
SPY1.580.2148.8
NVDA1.510.753.3
KO1.091.2491
AAPL4.421.3210.9
MSFT13.182.671.9
F17.4799.9
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 names, one 15-minute slice, derived from the stored result.
ColumnTypeRangeNotes
ticker text 6 distinct values (AAPL, F, KO…)
spread_cents number 1 to 13.18
spread_bps number 0.21 to 7.47
penny_wide_pct number 1.9 to 99.9 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.

SELECT
    ticker,
    round(avg(toFloat64(ask_price - bid_price)) * 100, 2)                                       AS spread_cents,
    round(avg(toFloat64(ask_price - bid_price) / (toFloat64(ask_price + bid_price) / 2)) * 10000, 2) AS spread_bps,
    round(100 * countIf(toFloat64(ask_price - bid_price) < 0.011) / count(), 1)                 AS penny_wide_pct
FROM global_markets.cache_stocks_quotes
WHERE ticker IN ('SPY', 'AAPL', 'MSFT', 'NVDA', 'KO', 'F')
  AND sip_timestamp >= toDateTime('2026-09-16 14:30:00')
  AND sip_timestamp <  toDateTime('2026-09-16 14:45:00')
  AND bid_price > 0
  AND ask_price > bid_price
GROUP BY ticker
ORDER BY spread_bps
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