STRASMORE/EXPLORE 2,170 QUERIES

Average quoted spread and time at a one cent spread, midday June 10 2026

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 2026-08-12, from How to Estimate Queue Position From L2 Data.

as of ranking 6×3read in context →
Average quoted spread and time at a one cent spread, midday June 10 2026 — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
symbolavg_spread_centsone_cent_pct
KO1.1882.5
NVDA2.4711.8
BKNG2.9415.9
SPY3.096.6
AAPL3.347.9
MSFT8.461.1
Rows × columns
6 × 3
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 Average quoted spread and time at a one cent spread, midday June 10 2026, derived from the stored result.
ColumnTypeRangeNotes
symbol text 6 distinct values (AAPL, BKNG, KO…)
avg_spread_cents number 1.18 to 8.46
one_cent_pct number 1.1 to 82.5 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.

the exact SQL behind every number
SELECT
    ticker                                                AS symbol,
    round(avg(toFloat64(ask_price - bid_price)) * 100, 2) AS avg_spread_cents,
    round(100 * countIf(round(toFloat64(ask_price - bid_price) * 100) <= 1) / count(), 1) AS one_cent_pct
FROM global_markets.cache_stocks_quotes
WHERE ticker IN ('SPY', 'AAPL', 'KO', 'NVDA', 'MSFT', 'BKNG')
  AND sip_timestamp >= '2026-06-10 15:00:00'
  AND sip_timestamp <  '2026-06-10 19:00:00'
  AND bid_price > 0
  AND ask_price > bid_price
GROUP BY ticker
ORDER BY avg_spread_cents

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 analysisHow to Estimate Queue Position From L2 Data
How AAPL prints break down by trade size, June 10 2026 ranking 5×3 The best bid and the price levels it visited, AAPL, 15 minute buckets series 24×3 Top of book messages against prints on the tape, AAPL, June 10 2026 series 8×4 Trade size mix in the same window (AAPL, 10:00 to 10:30 a.m. ET, June 16, 2026) ranking 5×4 Top-of-book messages against prints, 10:00 to 10:30 a.m. ET, June 16, 2026 ranking 5×4 What changed between consecutive top-of-book messages (AAPL, 10:00 to 10:30 a.m. ET, June 16, 2026) ranking 4×3 See all 2,170 queries →