STRASMORE/EXPLORE 3,293 QUERIES
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AAPL top of book by half hour (ET), latest session: NBBO updates and displayed size at the best bid and ask as a share of the peak bucket

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 2026-11-07, from What Is a Liquidity Heatmap? How to Read One.

as of series 32×4read in context →
AAPL top of book by half hour (ET), latest session: NBBO updates and displayed size at the best bid and ask as a share of the peak bucket — 32 rows by 4 columns, computed from US exchange, SIP and OPRA data.
et_timequote_update_countdisplayed_bid_pct_of_peakdisplayed_ask_pct_of_peak
04:0030502925
04:3011992925
05:006942950
05:307651425
06:0016092925
06:3010222988
07:0027332950
07:3036422950
08:0053382950
08:3025032950
09:0039792950
09:301646871450
10:001348942950
10:301188582950
11:00860141425
11:30608362950
12:00613641450
12:30537031450
13:00612142950
13:30510352950
14:00581952950
14:30591262950
15:00646002950
15:301334462950
16:00151343100
16:308617150
17:0024410050
17:3044143100
18:0013902950
18:308892975
19:0012762950
19:305905750
Rows × columns
32 × 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 AAPL top of book by half hour (ET), latest session: NBBO updates and displayed size at the best bid and ask as a share of the peak bucket, derived from the stored result.
ColumnTypeRangeNotes
et_time text 32 distinct values (04:00, 04:30, 05:00…)
quote_update_count number 244 to 164,687 count
displayed_bid_pct_of_peak number 14 to 100 percent
displayed_ask_pct_of_peak number 25 to 100 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 (
  SELECT max(toDate(sip_timestamp, 'America/New_York'))
  FROM global_markets.cache_stocks_quotes
  WHERE ticker = 'AAPL' AND sip_timestamp >= now() - INTERVAL 7 DAY
) AS last_session
SELECT
  et_time,
  quote_update_count,
  round(100 * median_bid_size / max(median_bid_size) OVER (), 0) AS displayed_bid_pct_of_peak,
  round(100 * median_ask_size / max(median_ask_size) OVER (), 0) AS displayed_ask_pct_of_peak
FROM (
  SELECT
    formatDateTime(toStartOfInterval(toTimeZone(sip_timestamp, 'America/New_York'), INTERVAL 30 MINUTE), '%H:%i') AS et_time,
    count() AS quote_update_count,
    quantileDeterministic(0.5)(toFloat64(bid_size), toUInt64(sip_timestamp)) AS median_bid_size,
    quantileDeterministic(0.5)(toFloat64(ask_size), toUInt64(sip_timestamp)) AS median_ask_size
  FROM global_markets.cache_stocks_quotes
  WHERE ticker = 'AAPL'
    AND sip_timestamp >= now() - INTERVAL 7 DAY
    AND toDate(sip_timestamp, 'America/New_York') = last_session
    AND bid_price > 0
    AND ask_price > bid_price
    AND bid_size > 0
    AND ask_size > 0
  GROUP BY et_time
)
ORDER BY et_time
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