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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.
Stock Correlation Matrix in One SQL Query
Daily bars per name against sessions shared with SPY, Oct 2025 to Sep 2026ranking · 2026-10-06 · 6×3Preview: 6 ranked values, largest first. AAPL and MSFT return correlation measured quarter by quarterranking · 2026-10-06 · 7×3Preview: 7 ranked values, largest first. Correlation of price levels against correlation of daily returns, same pairsranking · 2026-10-06 · 15×4Preview: 15 ranked values, largest first. Pairwise correlation of daily returns, six large caps, Oct 2025 to Sep 2026ranking · 2026-10-06 · 15×2Preview: 15 ranked values, largest first.
Free Stock Market Data API, No Key Required
Highest large-cap dividend yields, latest sessionranking · 2026-10-04 · 12×3Preview: 12 ranked values, largest first. SPY vs QQQ, normalized return over the last 45 daysseries · 2026-10-04 · 31×3Preview: a 16-point series, ending higher. End-of-day implied-volatility leaders, liquid underlyingsranking · 2026-10-04 · 12×2Preview: 12 ranked values, largest first.
Free SQL API for Stock Market Data
SPY implied volatility by days-to-expiry bucket, latest sessionranking · 2026-10-04 · 11×2Preview: 11 ranked values, smallest first. P/E ratios of US companies above $500B market capranking · 2026-10-04 · 12×2Preview: 12 ranked values, largest first. KO: total cash dividends per share by yearranking · 2026-10-04 · 22×2Preview: 16 ranked values, smallest first.
Do NYSE and Nasdaq Have Public APIs?
Where AAPL shares printed during a single session, September 15, 2026ranking · 2026-10-02 · 12×3Preview: 12 ranked values, largest first. AAPL median quoted spread by New York clock time, September 15, 2026series · 2026-10-02 · 61×3Preview: a 16-point series, ending higher. Quote updates per second, one hour of the September 15, 2026 sessionranking · 2026-10-02 · 5×2Preview: 5 ranked values, largest first. US equity exchange operators and the venues each one runsranking · 2026-10-02 · 9×3Preview: 9 ranked values, largest first.
Free Stock API With curl and jq: No Key
KO daily closes, last 30 sessions returned by the free SQL endpointseries · 2026-09-30 · 30×2Preview: 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)
$