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How many distinct best bid prices fit in one three second interval (AAPL, 16 September 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 2026-10-07, from What A-share Level 2 Data Actually Contains.

as of ranking 10×3read in context →
How many distinct best bid prices fit in one three second interval (AAPL, 16 September 2026) — 10 rows by 3 columns, computed from US exchange, SIP and OPRA data.
distinct_best_bidswindowsshare_of_windows_pct
1255324.8
2168816.4
3123112
4107810.5
59188.9
66906.7
75365.2
83763.7
92732.7
109349.1
Rows × columns
10 × 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 How many distinct best bid prices fit in one three second interval (AAPL, 16 September 2026), derived from the stored result.
ColumnTypeRangeNotes
distinct_best_bids number 1 to 10
windows number 273 to 2,553
share_of_windows_pct number 2.7 to 24.8 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.

WITH windows AS
(
    SELECT
        toStartOfInterval(toTimeZone(sip_timestamp, 'America/New_York'), INTERVAL 3 SECOND) AS win,
        uniqExact(bid_price)                                                                AS distinct_bids
    FROM global_markets.cache_stocks_quotes
    WHERE ticker = 'AAPL'
      AND sip_timestamp >= '2026-09-16 08:00:00'
      AND sip_timestamp <  '2026-09-17 00:00:00'
      AND bid_price > 0
    GROUP BY win
)
SELECT
    toUInt16(least(distinct_bids, 10))                        AS distinct_best_bids,
    count()                                                   AS windows,
    round(100.0 * count() / (SELECT count() FROM windows), 1) AS share_of_windows_pct
FROM windows
GROUP BY distinct_best_bids
ORDER BY distinct_best_bids
⌘/Ctrl + Enter

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