STRASMORE/EXPLORE 2,214 QUERIES

ratio_buckets

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 2026-09-12, from what-happens-after-a-reverse-stock-split.

as of ranking 5×3read in context →
ratio_buckets — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
ratio_bucketreverse_split_countshare_pct
1-for-2 up to 1-for-523322.9
1-for-6 up to 1-for-1029128.6
1-for-11 up to 1-for-2523122.7
1-for-26 up to 1-for-5011010.8
steeper than 1-for-5015315
Rows × columns
5 × 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 ratio_buckets, derived from the stored result.
ColumnTypeRangeNotes
ratio_bucket text 5 distinct values
reverse_split_count number 110 to 291 count
share_pct number 10.8 to 28.6 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.

the exact SQL behind every number 
SELECT
    tupleElement(band, 1)                                                          AS ratio_bucket,
    countIf(ratio >= tupleElement(band, 2) AND ratio < tupleElement(band, 3))      AS reverse_split_count,
    round(100 * countIf(ratio >= tupleElement(band, 2) AND ratio < tupleElement(band, 3)) / count(), 1) AS share_pct
FROM
(
    SELECT
        ticker,
        toDate(execution_date)                              AS execution_date,
        max(toFloat64(split_from) / toFloat64(split_to))    AS ratio
    FROM global_markets.stocks_splits
    WHERE split_to < split_from
      AND toDate(execution_date) >= '2025-03-01'
      AND toDate(execution_date) <  '2026-03-01'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker, execution_date
)
ARRAY JOIN
[
    ('1-for-2 up to 1-for-5',    1.0,   5.5),
    ('1-for-6 up to 1-for-10',   5.5,  10.5),
    ('1-for-11 up to 1-for-25', 10.5,  25.5),
    ('1-for-26 up to 1-for-50', 25.5,  50.5),
    ('steeper than 1-for-50',   50.5, 1.0e9)
] AS band
GROUP BY ratio_bucket
ORDER BY min(tupleElement(band, 2))

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