STRASMORE/EXPLORE 2,882 QUERIES

earnings_crush

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 →
earnings_crush — 8 rows by 5 columns, computed from US exchange, SIP and OPRA data.
labeliv_two_weeks_pctiv_peak_pctiv_after_pctcrush_pct
Nov 26, 202452.465.629.336.3
Feb 25, 202549.350.833.916.9
May 22, 202542.942.829.313.5
Aug 22, 202540.841.727.913.8
Nov 25, 2025454233.78.3
Feb 26, 202653.954.440.813.6
May 21, 202663.46541.223.8
Aug 26, 202649.352.440.312.1
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 earnings_crush, derived from the stored result.
ColumnTypeRangeNotes
label text 8 distinct values (Aug 22, 2025, Aug 26, 2026, Feb 25, 2025…)
iv_two_weeks_pct number 40.8 to 63.4 percent
iv_peak_pct number 41.7 to 65.6 percent
iv_after_pct number 27.9 to 41.2 percent
crush_pct number 8.3 to 36.3 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
),
seq AS
(
    SELECT
        date,
        iv_pct,
        toInt64(rn_raw) AS rn
    FROM
    (
        SELECT
            date,
            iv_pct,
            row_number() OVER (ORDER BY date) AS rn_raw
        FROM atm_daily
    )
),
events AS
(
    SELECT
        c.date                        AS crush_date,
        p.iv_pct                      AS iv_two_weeks_pct,
        b.iv_pct                      AS iv_peak_pct,
        c.iv_pct                      AS iv_after_pct,
        round(b.iv_pct - c.iv_pct, 1) AS crush_pct,
        row_number() OVER (PARTITION BY toStartOfQuarter(c.date) ORDER BY b.iv_pct - c.iv_pct DESC) AS quarter_rank
    FROM seq AS c
    INNER JOIN seq AS b ON b.rn = c.rn - 1
    INNER JOIN seq AS p ON p.rn = c.rn - 10
)
SELECT
    formatDateTime(crush_date, '%b %e, %Y') AS label,
    iv_two_weeks_pct,
    iv_peak_pct,
    iv_after_pct,
    crush_pct
FROM events
WHERE quarter_rank = 1
  AND crush_pct > 0
  AND crush_date >= today() - 760
ORDER BY crush_date
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