STRASMORE/EXPLORE 2,707 QUERIES

Share of sessions in a squeeze, six liquid names, three years

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 2026-09-27, from What Is the TTM Squeeze? Formula and Limits.

as of ranking 6×3read in context →
Share of sessions in a squeeze, six liquid names, three years — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickersqueeze_countsqueeze_share_pct
JNJ13017.3
KO12616.8
MSFT11315
NVDA7710.3
SPY709.3
AAPL476.3
Rows × columns
6 × 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 Share of sessions in a squeeze, six liquid names, three years, derived from the stored result.
ColumnTypeRangeNotes
ticker text 6 distinct values (AAPL, JNJ, KO…)
squeeze_count number 47 to 130 count
squeeze_share_pct number 6.3 to 17.3 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
px AS
(
    SELECT
        ticker,
        date,
        toFloat64(any(close)) AS c,
        toFloat64(any(high))  AS h,
        toFloat64(any(low))   AS l
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO', 'JNJ')
      AND date >= '2023-07-01'
      AND date <  '2026-09-01'
    GROUP BY ticker, date
),
tr AS
(
    SELECT
        ticker,
        date,
        c,
        h,
        l,
        lagInFrame(c) OVER (PARTITION BY ticker ORDER BY date ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS prev_c
    FROM px
),
stat AS
(
    SELECT
        ticker,
        date,
        stddevPop(c) OVER (PARTITION BY ticker ORDER BY date ROWS BETWEEN 19 PRECEDING AND CURRENT ROW) AS sd,
        count()      OVER (PARTITION BY ticker ORDER BY date ROWS BETWEEN 19 PRECEDING AND CURRENT ROW) AS bars,
        avg(if(prev_c > 0, greatest(h - l, abs(h - prev_c), abs(l - prev_c)), h - l))
                     OVER (PARTITION BY ticker ORDER BY date ROWS BETWEEN 19 PRECEDING AND CURRENT ROW) AS atr
    FROM tr
)
SELECT
    ticker,
    countIf(4 * sd < 3 * atr)                           AS squeeze_count,
    round(100 * countIf(4 * sd < 3 * atr) / count(), 1) AS squeeze_share_pct
FROM stat
WHERE bars = 20
  AND date >= '2023-09-01'
GROUP BY ticker
ORDER BY squeeze_share_pct DESC
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