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.
| et_time | quote_update_count | displayed_bid_pct_of_peak | displayed_ask_pct_of_peak |
|---|---|---|---|
| 04:00 | 576 | 29 | 4 |
| 04:30 | 240 | 43 | 4 |
| 05:00 | 157 | 29 | 9 |
| 05:30 | 167 | 71 | 4 |
| 06:00 | 185 | 71 | 9 |
| 06:30 | 2069 | 14 | 9 |
| 07:00 | 692 | 29 | 9 |
| 07:30 | 437 | 29 | 9 |
| 08:00 | 1103 | 29 | 9 |
| 08:30 | 598 | 29 | 9 |
| 09:00 | 4220 | 29 | 4 |
| 09:30 | 92588 | 29 | 9 |
| 10:00 | 76460 | 29 | 4 |
| 10:30 | 63134 | 29 | 9 |
| 11:00 | 57109 | 29 | 9 |
| 11:30 | 40110 | 29 | 9 |
| 12:00 | 36562 | 29 | 9 |
| 12:30 | 29945 | 29 | 9 |
| 13:00 | 33069 | 29 | 9 |
| 13:30 | 26416 | 29 | 9 |
| 14:00 | 25150 | 29 | 9 |
| 14:30 | 32164 | 29 | 9 |
| 15:00 | 37989 | 29 | 9 |
| 15:30 | 120615 | 43 | 9 |
| 16:00 | 1595 | 29 | 9 |
| 16:30 | 317 | 29 | 35 |
| 17:00 | 285 | 100 | 39 |
| 17:30 | 231 | 57 | 57 |
| 18:00 | 88 | 29 | 9 |
| 18:30 | 90 | 71 | 100 |
| 19:00 | 145 | 29 | 22 |
| 19:30 | 334 | 43 | 13 |
- Rows × columns
- 32 × 4
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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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