Trade messages vs quote messages, one session, five stocks
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 2026-09-24, from What Does Historical Tick Data Cost?.
| symbol | trade_millions | quote_millions | quotes_per_trade |
|---|---|---|---|
| NVDA | 2.05 | 2.11 | 1 |
| AAPL | 0.9 | 1.2 | 1.3 |
| SPY | 0.52 | 3.05 | 5.9 |
| MSFT | 0.41 | 0.31 | 0.8 |
| KO | 0.29 | 0.47 | 1.6 |
- 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 |
|---|---|---|---|
symbol |
text | 5 distinct values (AAPL, KO, MSFT…) | |
trade_millions |
number | 0.29 to 2.05 | |
quote_millions |
number | 0.31 to 3.05 | |
quotes_per_trade |
number | 0.8 to 5.9 |
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
t.symbol AS symbol,
round(t.trades / 1e6, 2) AS trade_millions,
round(q.quotes / 1e6, 2) AS quote_millions,
round(q.quotes / t.trades, 1) AS quotes_per_trade
FROM
(
SELECT
ticker AS symbol,
count() AS trades
FROM global_markets.stocks_trades
WHERE ticker IN ('SPY', 'AAPL', 'NVDA', 'MSFT', 'KO')
AND sip_timestamp >= toDateTime('2026-08-19 08:00:00')
AND sip_timestamp < toDateTime('2026-08-20 08:00:00')
GROUP BY ticker
) AS t
INNER JOIN
(
SELECT
ticker AS symbol,
count() AS quotes
FROM global_markets.cache_stocks_quotes
WHERE ticker IN ('SPY', 'AAPL', 'NVDA', 'MSFT', 'KO')
AND sip_timestamp >= toDateTime('2026-08-19 08:00:00')
AND sip_timestamp < toDateTime('2026-08-20 08:00:00')
GROUP BY ticker
) AS q ON q.symbol = t.symbol
ORDER BY trade_millions DESC
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