STRASMORE/EXPLORE 2,549 QUERIES

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 2026-09-20, 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
04:00576294
04:30240434
05:00157299
05:30167714
06:00185719
06:302069149
07:00692299
07:30437299
08:001103299
08:30598299
09:004220294
09:3092588299
10:0076460294
10:3063134299
11:0057109299
11:3040110299
12:0036562299
12:3029945299
13:0033069299
13:3026416299
14:0025150299
14:3032164299
15:0037989299
15:30120615439
16:001595299
16:303172935
17:0028510039
17:302315757
18:0088299
18:309071100
19:001452922
19:303344313
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 88 to 120,615 count
displayed_bid_pct_of_peak number 14 to 100 percent
displayed_ask_pct_of_peak number 4 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))
  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) = 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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