STRASMORE/EXPLORE 3,293 QUERIES

worst_fall

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 capital-market-vs-money-market.

as of ranking 7×2read in context →
worst_fall — 7 rows by 2 columns, computed from US exchange, SIP and OPRA data.
tickerworst_fall_pct
CSCO38.6
IBM37.5
CVX28.9
PG24.6
JNJ23.6
KO20.9
XOM20.7
Rows × columns
7 × 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 worst_fall, derived from the stored result.
ColumnTypeRangeNotes
ticker text 7 distinct values (CSCO, CVX, IBM…)
worst_fall_pct number 20.7 to 38.6 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 daily AS (
    SELECT
        ticker,
        date,
        toFloat64(any(close)) AS c
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('KO', 'JNJ', 'XOM', 'CVX', 'PG', 'IBM', 'CSCO')
      AND date >= today() - 1830
    GROUP BY ticker, date
),
peaks AS (
    SELECT
        ticker,
        date,
        c,
        max(c) OVER (PARTITION BY ticker ORDER BY date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS peak
    FROM daily
)
SELECT
    ticker,
    round(100 * abs(min(c / peak - 1)), 1) AS worst_fall_pct
FROM peaks
GROUP BY ticker
ORDER BY worst_fall_pct DESC
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