STRASMORE/EXPLORE 2,882 QUERIES

iv_by_year

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 2026-10-01, from zm-implied-volatility.

as of table 8×5read in context →
iv_by_year — 8 rows by 5 columns, computed from US exchange, SIP and OPRA data.
yearsession_countavg_iv_pctlow_iv_pcthigh_iv_pct
201916759.935.384.6
202025373.136.4132
202125251.434.179.6
202225169.948.3115.8
202325047.728.780.7
202425234.622.465.6
202525033.522.553.6
202618646.125.565.5
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_by_year, derived from the stored result.
ColumnTypeRangeNotes
year number 2,019 to 2,026
session_count number 167 to 253 count
avg_iv_pct number 33.5 to 73.1 percent
low_iv_pct number 22.4 to 48.3 percent
high_iv_pct number 53.6 to 132 percent

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 atm_daily AS
(
    SELECT
        date,
        round(100 * avg(toFloat64(implied_volatility)), 1) AS iv_pct
    FROM global_markets.options_greeks
    WHERE underlying_symbol = 'ZM'
      AND iv_converged = 1
      AND volume > 0
      AND days_to_expiry BETWEEN 20 AND 45
      AND toFloat64(underlying_close) > 0
      AND abs(toFloat64(strike_price) / toFloat64(underlying_close) - 1) < 0.05
    GROUP BY date
)
SELECT
    toYear(date)          AS year,
    count()               AS session_count,
    round(avg(iv_pct), 1) AS avg_iv_pct,
    min(iv_pct)           AS low_iv_pct,
    max(iv_pct)           AS high_iv_pct
FROM atm_daily
GROUP BY year
ORDER BY year
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