STRASMORE/EXPLORE 2,749 QUERIES

peso_move

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 2026-09-28, from what-is-market-volatility.

as of ranking 4×3read in context →
peso_move — 4 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickerpeso_1sdpeso_2sd
NVDA11852370
AAPL7741548
KO5921185
SPY409817
Rows × columns
4 × 3
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 peso_move, derived from the stored result.
ColumnTypeRangeNotes
ticker text 4 distinct values (AAPL, KO, NVDA…)
peso_1sd number 409 to 1,185
peso_2sd number 817 to 2,370

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 bars AS
(
    SELECT
        ticker,
        date,
        any(toFloat64(close)) AS c
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('SPY', 'AAPL', 'NVDA', 'KO')
      AND date >= today() - 430
      AND date <  today()
    GROUP BY ticker, date
),
rets AS
(
    SELECT
        ticker,
        date,
        log(c / lagInFrame(c) OVER (PARTITION BY ticker ORDER BY date)) AS r
    FROM bars
),
ranked AS
(
    SELECT
        ticker,
        r,
        row_number() OVER (PARTITION BY ticker ORDER BY date DESC) AS sessions_back
    FROM rets
    WHERE isFinite(r)
),
vol AS
(
    SELECT
        ticker,
        stddevSampIf(r, sessions_back <= 252) AS sd_daily
    FROM ranked
    GROUP BY ticker
    HAVING countIf(sessions_back <= 252) >= 200
)
SELECT
    ticker,
    round(sd_daily * 50000, 0)     AS peso_1sd,
    round(sd_daily * 2 * 50000, 0) AS peso_2sd
FROM vol
ORDER BY peso_1sd DESC
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