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.
| ticker | quote_messages_thousands | trades_thousands | quotes_per_trade_ratio |
|---|---|---|---|
| SPY | 510 | 53.4 | 9.6 |
| KO | 66.5 | 28.03 | 2.4 |
| AAPL | 114.8 | 75.98 | 1.5 |
| NVDA | 345.8 | 246.46 | 1.4 |
| MSFT | 48.2 | 73.27 | 0.7 |
- Rows × columns
- 5 × 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 |
|---|---|---|---|
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
Run your own version of this
The same 22 years of US equities and 12 years of options data are queryable in SQL or plain English. A free account runs 100 queries a day and takes no card.
More from this analysisMBO vs MBP Order Book Data Explained
Trade size mix in the same window (AAPL, 10:00 to 10:30 a.m. ET, June 16, 2026)
ranking 5×4
→
What changed between consecutive top-of-book messages (AAPL, 10:00 to 10:30 a.m. ET, June 16, 2026)
ranking 4×3
→
Average quoted spread and time at a one cent spread, midday June 10 2026
ranking 6×3
→
How AAPL prints break down by trade size, June 10 2026
ranking 5×3
→
The best bid and the price levels it visited, AAPL, 15 minute buckets
series 24×3
→
Top of book messages against prints on the tape, AAPL, June 10 2026
series 8×4
→
See all 2,170 queries →