STRASMORE/EXPLORE 3,171 QUERIES

Locked, crossed and one sided quote rates across six household names

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 2026-10-07, from Market data quality checks that catch real bugs.

as of ranking 6×4read in context →
Locked, crossed and one sided quote rates across six household names — 6 rows by 4 columns, computed from US exchange, SIP and OPRA data.
symbollocked_pctcrossed_pctone_sided_pct
XOM0.42590.21540
MSFT0.22450.04930
SPY0.72350.01570
KO9.84890.00540
AAPL0.13070.0050
NVDA2.63590.00280
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 Locked, crossed and one sided quote rates across six household names, derived from the stored result.
ColumnTypeRangeNotes
symbol text 6 distinct values (AAPL, KO, MSFT…)
locked_pct number 0.1307 to 9.8489 percent
crossed_pct number 0.0028 to 0.2154 percent
one_sided_pct number every row is 0 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                                                                     AS symbol,
    round(100 * countIf(bid_price = ask_price AND bid_price > 0) / count(), 4) AS locked_pct,
    round(100 * countIf(bid_price > ask_price AND ask_price > 0) / count(), 4) AS crossed_pct,
    round(100 * countIf(bid_price = 0 OR ask_price = 0) / count(), 4)          AS one_sided_pct
FROM global_markets.cache_stocks_quotes
WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO', 'XOM')
  AND sip_timestamp >= '2026-03-10 14:00:00'
  AND sip_timestamp <  '2026-03-10 15:00:00'
GROUP BY symbol
ORDER BY crossed_pct DESC
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

More from this analysisMarket data quality checks that catch real bugs
Declared split ratio against the close ratio across the effective date ranking 10×3 → Condition codes on one hour of prints, named from the exchange reference list ranking 9×3 → One symbol's quote messages against the sequence numbers they span series 60×3 → Venue stamp to consolidated stamp, minute by minute series 60×3 → Where the trading day's volume sits, hour by hour (AAPL, January 2026) ranking 16×3 → Trading sessions per year under FB and META ranking 15×3 → See all 3,171 queries →