STRASMORE/EXPLORE 3,256 QUERIES

The calmest large caps: annualized realized volatility over the past year, lowest first

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 2026-10-04, from The Lowest-Volatility Stocks.

as of ranking 15×2read in context →
The calmest large caps: annualized realized volatility over the past year, lowest first — 15 rows by 2 columns, computed from US exchange, SIP and OPRA data.
tickerannual_vol_pct
SPY12.9
DUK15.9
SO17.3
KO18.8
JNJ19
MCD19.1
PG19.6
COST19.8
PEP21.1
NEE21.1
JPM22.4
PFE23.4
CVX23.8
T25.4
HD25.6
Rows × columns
15 × 2
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 The calmest large caps: annualized realized volatility over the past year, lowest first, derived from the stored result.
ColumnTypeRangeNotes
ticker text 15 distinct values (COST, CVX, DUK…)
annual_vol_pct number 12.9 to 25.6 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 d AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS dt,
           argMax(toFloat64(close), toTimeZone(window_start, 'America/New_York')) AS c
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY','KO','JNJ','PG','PEP','WMT','MCD','MO','VZ','T','XOM','CVX','JPM','HD','COST','UNH','ABBV','MRK','PFE','LLY','CAT','HON','LMT','IBM','ORCL','CSCO','TXN','SO','DUK','NEE','NVDA','TSLA')
      AND window_start >= now() - INTERVAL 400 DAY
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY ticker, dt
),
r AS (
    SELECT ticker, dt,
           c / lagInFrame(c) OVER (PARTITION BY ticker ORDER BY dt) - 1 AS ret
    FROM d
)
SELECT ticker,
       round(stddevSamp(ret) * sqrt(252) * 100, 1) AS annual_vol_pct
FROM r
WHERE ret IS NOT NULL AND dt >= today() - 370
GROUP BY ticker
ORDER BY annual_vol_pct ASC
LIMIT 15
⌘/Ctrl + Enter

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