STRASMORE/EXPLORE 3,293 QUERIES

flat_months

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 2026-09-16, from soxl-and-soxs-volatility-decay.

as of table 17×5read in context →
flat_months — 17 rows by 5 columns, computed from US exchange, SIP and OPRA data.
labelindex_pctsoxl_pctsoxs_pctpair_pct
2022年2月-1.1-8-5.3-13.3
2022年3月-0.2-5.4-10.7-16.1
2022年10月2.40.7-16-15.4
2023年2月1.50.9-8.8-8
2024年1月1.72.2-8.1-5.8
2024年3月0.58.6-15.5-6.9
2024年8月-1.8-12.6-5.7-18.3
2024年9月-0.2-5.4-8.2-13.7
2024年11月-1.3-6.72.5-4.3
2024年12月0-2.7-5-7.7
2025年1月1.2-1.1-8.3-9.3
2025年4月-2.3-23.8-34.9-58.7
2025年7月0.6-0.5-2.2-2.7
2025年8月2.24.2-7.5-3.3
2025年12月1.51.9-8.7-6.9
2026年2月1.71.6-9.1-7.6
2026年8月1.2-1.7-9.7-11.4
Rows × columns
17 × 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 flat_months, derived from the stored result.
ColumnTypeRangeNotes
label text 17 distinct values (2022年10月, 2022年2月, 2022年3月…)
index_pct number -2.3 to 2.4 percent
soxl_pct number -23.8 to 8.6 percent
soxs_pct number -34.9 to 2.5 percent
pair_pct number -58.7 to -2.7 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,
        anyLast(toFloat64(close)) AS c
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('SOXX', 'SOXL', 'SOXS')
      AND date >= '2021-12-15'
      AND date <  '2026-09-01'
    GROUP BY ticker, date
),
lagged AS
(
    SELECT
        ticker,
        date,
        c,
        lagInFrame(c, 1) OVER (PARTITION BY ticker ORDER BY date ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS prev_c
    FROM daily
),
rets AS
(
    SELECT
        ticker,
        date,
        c / prev_c - 1 AS r
    FROM lagged
    WHERE prev_c > 0
      AND abs(c / prev_c - 1) < 0.75
      AND date >= '2022-01-01'
      AND (ticker, date) NOT IN
      (
          SELECT ticker, toDate(execution_date)
          FROM global_markets.stocks_splits
          WHERE ticker IN ('SOXX', 'SOXL', 'SOXS')
      )
),
monthly AS
(
    SELECT
        toStartOfMonth(date)                        AS m,
        exp(sumIf(log(1 + r), ticker = 'SOXX')) - 1 AS soxx,
        exp(sumIf(log(1 + r), ticker = 'SOXL')) - 1 AS soxl,
        exp(sumIf(log(1 + r), ticker = 'SOXS')) - 1 AS soxs
    FROM rets
    GROUP BY m
    HAVING countIf(ticker = 'SOXX') >= 15
       AND countIf(ticker = 'SOXL') >= 15
       AND countIf(ticker = 'SOXS') >= 15
)
SELECT
    concat(toString(toYear(m)), '年', toString(toMonth(m)), '月') AS label,
    round(soxx * 100, 1)                                        AS index_pct,
    round(soxl * 100, 1)                                        AS soxl_pct,
    round(soxs * 100, 1)                                        AS soxs_pct,
    round((soxl + soxs) * 100, 1)                               AS pair_pct
FROM monthly
WHERE abs(soxx) < 0.025
ORDER BY m
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