STRASMORE/EXPLORE 2,549 QUERIES

Top-of-book spread and quote message count by name (10:00 to 11:00 a.m. ET)

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 2026-08-07, from Level 1 vs Level 2 vs Level 3 Market Data.

as of ranking 5×3read in context →
Top-of-book spread and quote message count by name (10:00 to 11:00 a.m. ET) — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
symbolspread_bpsquote_update_count
SPY0.32996649
NVDA1.16535650
AAPL1.28127659
MSFT1.6191308
KO1.9595441
Rows × columns
5 × 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 Top-of-book spread and quote message count by name (10:00 to 11:00 a.m. ET), derived from the stored result.
ColumnTypeRangeNotes
symbol text 5 distinct values (AAPL, KO, MSFT…)
spread_bps number 0.32 to 1.95
quote_update_count number 91,308 to 996,649 count

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(avg((toFloat64(ask_price) - toFloat64(bid_price))
              / ((toFloat64(ask_price) + toFloat64(bid_price)) / 2)) * 10000, 2) AS spread_bps,
    count()                                                                AS quote_update_count
FROM global_markets.cache_stocks_quotes
WHERE ticker IN ('SPY', 'AAPL', 'MSFT', 'NVDA', 'KO')
  AND sip_timestamp >= '2026-06-17 14:00:00'
  AND sip_timestamp <  '2026-06-17 15:00:00'
  AND bid_price > 0
  AND ask_price > bid_price
  AND (toFloat64(ask_price) - toFloat64(bid_price)) / toFloat64(bid_price) < 0.05
GROUP BY symbol
ORDER BY spread_bps
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More from this analysisLevel 1 vs Level 2 vs Level 3 Market Data
Executed volume by price level: the traded ladder (KO, 30 minutes) table 63×3 → Top-of-book message rate, minute by minute (NVDA, one hour) series 60×3 → Level 1 top of book: quoted spread across a full session (AAPL, June 17 2026) series 32×3 → 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 series 32×4 → Where AAPL trades printed, June 17 2026, 10:00 to 11:30 ET ranking 17×3 → Which venues sat on the bid side of the quote record, KO on June 16, 2026 ranking 17×3 → See all 2,549 queries →