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Top-of-book messages against prints, 10:00 to 10:30 a.m. ET, June 16, 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 2026-08-12, from MBO vs MBP Order Book Data Explained.

as of ranking 5×4read in context →
Top-of-book messages against prints, 10:00 to 10:30 a.m. ET, June 16, 2026 — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerquote_messages_thousandstrades_thousandsquotes_per_trade_ratio
SPY51053.49.6
KO66.528.032.4
AAPL114.875.981.5
NVDA345.8246.461.4
MSFT48.273.270.7
Rows × columns
5 × 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 Top-of-book messages against prints, 10:00 to 10:30 a.m. ET, June 16, 2026, derived from the stored result.
ColumnTypeRangeNotes
ticker text 5 distinct values (AAPL, KO, MSFT…)
quote_messages_thousands number 48.2 to 510
trades_thousands number 28.03 to 246.46 count
quotes_per_trade_ratio number 0.7 to 9.6 ratio or rate

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.

the exact SQL behind every number
WITH
    quote_load AS
    (
        SELECT ticker, count() AS quote_messages
        FROM global_markets.cache_stocks_quotes
        WHERE ticker IN ('SPY', 'AAPL', 'NVDA', 'MSFT', 'KO')
          AND sip_timestamp >= '2026-06-16 14:00:00'
          AND sip_timestamp <  '2026-06-16 14:30:00'
        GROUP BY ticker
    ),
    trade_load AS
    (
        SELECT ticker, count() AS trades
        FROM global_markets.stocks_trades
        WHERE ticker IN ('SPY', 'AAPL', 'NVDA', 'MSFT', 'KO')
          AND sip_timestamp >= '2026-06-16 14:00:00'
          AND sip_timestamp <  '2026-06-16 14:30:00'
        GROUP BY ticker
    )
SELECT
    q.ticker                              AS ticker,
    round(q.quote_messages / 1000, 1)     AS quote_messages_thousands,
    round(t.trades / 1000, 2)             AS trades_thousands,
    round(q.quote_messages / t.trades, 1) AS quotes_per_trade_ratio
FROM quote_load AS q
INNER JOIN trade_load AS t ON t.ticker = q.ticker
ORDER BY quotes_per_trade_ratio DESC

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