STRASMORE/EXPLORE 3,256 QUERIES 22Y EQUITIES · 12Y OPTIONS

3,256 answered market questions

every one with its exact SQL, its result and the date it was computed · free, no signup

REST Polling vs WebSockets for Market Data
NVDA quote updates per second, grouped by how busy the second wasranking · 2026-10-09 · 5×3Preview: 5 ranked values, smallest first. AAPL opening minute: quote updates and distinct prices, second by secondtable · 2026-10-09 · 60×4 Quote messages per second, four names, 10:30 to 11:00 a.m. ETranking · 2026-10-09 · 4×3Preview: 4 ranked values, largest first. AAPL trades per second, fifteen minute buckets through the sessionseries · 2026-10-09 · 26×2Preview: a 16-point series, ending lower.
NVDA quote updates per second, grouped by how busy the second was

NVDA quote updates per second, grouped by how busy the second was

most recentas of ranking 5×3read in context →
NVDA quote updates per second, grouped by how busy the second was — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
updates_in_the_secondshare_of_seconds_pctshare_of_messages_pct
1 update0.20
2 to 51.70.1
6 to 208.11.3
21 to 10062.442.9
over 10027.655.8
the exact SQL behind every number
WITH
    per_second AS
    (
        SELECT
            toDateTime(sip_timestamp) AS second_bucket,
            count()                   AS messages
        FROM global_markets.cache_stocks_quotes
        WHERE ticker = 'NVDA'
          AND sip_timestamp >= '2026-09-15 13:30:00'
          AND sip_timestamp <  '2026-09-15 15:30:00'
        GROUP BY second_bucket
    ),
    totals AS
    (
        SELECT
            count()       AS second_count,
            sum(messages) AS message_count
        FROM per_second
    )
SELECT
    multiIf(messages = 1,    '1 update',
            messages <= 5,   '2 to 5',
            messages <= 20,  '6 to 20',
            messages <= 100, '21 to 100',
            'over 100')                                                  AS updates_in_the_second,
    round(100.0 * count() / (SELECT second_count FROM totals), 1)         AS share_of_seconds_pct,
    round(100.0 * sum(messages) / (SELECT message_count FROM totals), 1) AS share_of_messages_pct
FROM per_second
GROUP BY updates_in_the_second
ORDER BY min(messages)
$