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IV rank vs IV percentile, eight liquid names, 52 week lookback

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 2026-09-26, from IV Rank vs IV Percentile: Formulas Explained.

as of table 8×5read in context →
IV rank vs IV percentile, eight liquid names, 52 week lookback — 8 rows by 5 columns, computed from US exchange, SIP and OPRA data.
symboliv_rankiv_percentilegapas_of_label
AMZN17.349.432.1Sep 24, 2026
MSFT2241.319.3Sep 24, 2026
AAPL20.434.313.9Sep 24, 2026
SPY11.523.211.7Sep 24, 2026
KO56.867.310.5Sep 24, 2026
QQQ25.630.34.7Sep 24, 2026
NVDA21.20.8Sep 24, 2026
TSLA15.815.70.1Sep 24, 2026
Rows × columns
8 × 5
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 IV rank vs IV percentile, eight liquid names, 52 week lookback, derived from the stored result.
ColumnTypeRangeNotes
symbol text 8 distinct values (AAPL, AMZN, KO…)
iv_rank number 2 to 56.8 ratio or rate
iv_percentile number 1.2 to 67.3 ratio or rate
gap number 0.1 to 32.1
as_of_label text 1 distinct value (Sep 24, 2026)

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.

WITH daily AS
(
    SELECT
        underlying_symbol                        AS symbol,
        date,
        avg(toFloat64(implied_volatility)) * 100 AS atm_iv
    FROM global_markets.options_greeks
    WHERE underlying_symbol IN ('AAPL', 'MSFT', 'NVDA', 'AMZN', 'TSLA', 'SPY', 'QQQ', 'KO')
      AND date >= today() - 371
      AND iv_converged = 1
      AND volume > 0
      AND days_to_expiry BETWEEN 20 AND 45
      AND abs(toFloat64(strike_price) / toFloat64(underlying_close) - 1) < 0.05
    GROUP BY symbol, date
),
latest AS
(
    SELECT
        symbol,
        argMax(atm_iv, date) AS iv_now,
        max(date)            AS as_of
    FROM daily
    GROUP BY symbol
)
SELECT
    d.symbol AS symbol,
    round(100 * (l.iv_now - min(d.atm_iv)) / nullIf(max(d.atm_iv) - min(d.atm_iv), 0), 1) AS iv_rank,
    round(100 * countIf(d.atm_iv < l.iv_now) / count(), 1)                                AS iv_percentile,
    round(abs(iv_rank - iv_percentile), 1)                                                AS gap,
    formatDateTime(any(l.as_of), '%b %e, %Y')                                             AS as_of_label
FROM daily AS d
INNER JOIN latest AS l ON l.symbol = d.symbol
GROUP BY d.symbol, l.iv_now
ORDER BY gap DESC
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More from this analysisIV Rank vs IV Percentile: Formulas Explained
Current, 52 week low and 52 week high ATM IV for each name table 8×6 → One stock, one session, three definitions of the IV input table 3×6 → AAPL at the money implied volatility, weekly, trailing 52 weeks series 53×5 → The same session scored at five different lookback windows ranking 5×4 → Where IV percentile sits furthest above IV rank, latest session table 12×6 → The same reading against each name's own 52-week implied volatility range (July 28, 2026) table 11×5 → See all 2,707 queries →