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Highest ATM implied volatility: liquid single names and funds, latest session

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 2026-10-16, from Highest Implied Volatility Stocks Right Now.

as of table 12×5read in context →
Highest ATM implied volatility: liquid single names and funds, latest session — 12 rows by 5 columns, computed from US exchange, SIP and OPRA data.
tickeratm_iv_pctoption_price_pct_of_stockcontracts_measuredcontracts_traded
RKLB131.59.8232985
WULF112.910.82216756
MRNA112.111.2649615
LQDA103.27.6249039
IREN102.610.54256356
AAOI97.79484218
NVTS97.59.4223963
ASTS96.38.75014832
HUT93.98.4373500
APLD88.98.13612929
SMR88.69.9224263
GLXY88.48.8238577
Rows × columns
12 × 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 Highest ATM implied volatility: liquid single names and funds, latest session, derived from the stored result.
ColumnTypeRangeNotes
ticker text 12 distinct values (AAOI, APLD, ASTS…)
atm_iv_pct number 88.4 to 131.5 percent
option_price_pct_of_stock number 7.6 to 11.2 percent
contracts_measured number 22 to 64 count
contracts_traded number 2,985 to 56,356 count

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.

SELECT underlying_symbol AS ticker,
       round(100 * quantileExact(0.5)(implied_volatility), 1) AS atm_iv_pct,
       round(100 * quantileExact(0.5)(option_close / underlying_close), 1) AS option_price_pct_of_stock,
       count() AS contracts_measured,
       sum(volume) AS contracts_traded
FROM global_markets.options_greeks
WHERE date = (SELECT max(date) FROM global_markets.options_greeks)
  AND iv_converged AND implied_volatility BETWEEN 0.02 AND 5
  AND abs(strike_price / underlying_close - 1) <= 0.05
  AND expiration_date BETWEEN date + 7 AND date + 60
  AND underlying_symbol NOT IN ('KORU','SOXL','SOXS','TQQQ','SQQQ','NVDL','NVDS','NVD','TSLL','TSLQ','TSLZ','SPXL','SPXS','UPRO','SPXU','LABU','LABD','FAS','FAZ','TNA','TZA','YINN','YANG','UDOW','SDOW','BOIL','KOLD','UCO','SCO','USD','SSO','SDS','QLD','QID','ERX','ERY','DRN','DRV','CURE','SOXY','MUU','SNXX','UVXY','SVXY','UVIX','SVIX','BULZ','WEBL','WEBS','DPST','DRIP','GUSH','AGQ','ZSL','BITX','ETHU','MSTX','MSTU','CONL','DUST','JNUG','JDST','NUGT','AMDL','NUAI')
GROUP BY underlying_symbol
HAVING sum(volume) >= 2000 AND count() >= 20
ORDER BY atm_iv_pct DESC
LIMIT 12
⌘/Ctrl + Enter

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