Where a 30% reading sits in each ticker's own two-year distribution
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 2026-08-02, from Is 30% IV High? It Depends on the Ticker.
| symbol | sample_size | p10_iv_pct | median_iv_pct | p90_iv_pct | pct_of_days_below_30 |
|---|---|---|---|---|---|
| SPY | 500 | 13 | 15.3 | 20.3 | 99 |
| KO | 500 | 15.4 | 18.3 | 21.8 | 99.6 |
| MSFT | 500 | 19.2 | 25.1 | 36.6 | 77.2 |
| AAPL | 500 | 21.1 | 26.3 | 30.8 | 87 |
| NVDA | 500 | 35.7 | 44.4 | 59 | 0 |
| TSLA | 500 | 44.6 | 53.3 | 69.5 | 0 |
| COIN | 500 | 55.4 | 69.7 | 81.4 | 0 |
| MSTR | 500 | 53.8 | 75.7 | 104.6 | 0 |
- Rows × columns
- 8 × 6
- 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 | 8 distinct values (AAPL, COIN, KO…) | |
sample_size |
number | every row is 500 | |
p10_iv_pct |
number | 13 to 55.4 | percent |
median_iv_pct |
number | 15.3 to 75.7 | percent |
p90_iv_pct |
number | 20.3 to 104.6 | percent |
pct_of_days_below_30 |
number | 0 to 99.6 | 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 AS (
SELECT underlying_symbol AS symbol,
date,
avg(implied_volatility) * 100 AS iv_pct
FROM global_markets.options_greeks
WHERE underlying_symbol IN ('SPY', 'KO', 'AAPL', 'MSFT', 'NVDA', 'TSLA', 'COIN', 'MSTR')
AND date >= toDate('2024-08-01')
AND date <= toDate('2026-07-31')
AND iv_converged = 1
AND volume > 0
AND underlying_close > 0
AND days_to_expiry BETWEEN 20 AND 45
AND abs(toFloat64(strike_price) / toFloat64(underlying_close) - 1) < 0.05
GROUP BY symbol, date
)
SELECT symbol,
count() AS sample_size,
round(quantileDeterministic(0.1)(iv_pct, cityHash64(toString(date))), 1) AS p10_iv_pct,
round(quantileDeterministic(0.5)(iv_pct, cityHash64(toString(date))), 1) AS median_iv_pct,
round(quantileDeterministic(0.9)(iv_pct, cityHash64(toString(date))), 1) AS p90_iv_pct,
round(100 * countIf(iv_pct < 30) / count(), 1) AS pct_of_days_below_30
FROM atm
GROUP BY symbol
HAVING count() >= 100
ORDER BY median_iv_pct
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