STRASMORE/EXPLORE 3,293 QUERIES

The three worst SPY Septembers on record

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 2026-09-26, from The September Effect: Is It Real? SPY Data.

as of ranking 3×2read in context →
The three worst SPY Septembers on record — 3 rows by 2 columns, computed from US exchange, SIP and OPRA data.
labelsep_return_pct
Sep 2008-9.94
Sep 2022-9.62
Sep 2011-7.42
Rows × columns
3 × 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 The three worst SPY Septembers on record, derived from the stored result.
ColumnTypeRangeNotes
label text 3 distinct values (Sep 2008, Sep 2011, Sep 2022)
sep_return_pct number -9.94 to -7.42 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 month_ends AS
(
    SELECT
        toStartOfMonth(date)           AS month_start,
        argMax(toFloat64(close), date) AS month_end_close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'SPY'
      AND date < toStartOfYear(today())
    GROUP BY month_start
),
monthly_returns AS
(
    SELECT
        month_start,
        month_end_close,
        lagInFrame(month_end_close, 1) OVER (ORDER BY month_start ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS prev_close
    FROM month_ends
)
SELECT
    formatDateTime(month_start, '%b %Y')               AS label,
    round((month_end_close / prev_close - 1) * 100, 2) AS sep_return_pct
FROM monthly_returns
WHERE prev_close > 0
  AND toMonth(month_start) = 9
ORDER BY sep_return_pct ASC
LIMIT 3
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

More from this analysisThe September Effect: Is It Real? SPY Data
SPY September price return, year by year ranking 22×2 → Average September vs. the other eleven months, by decade ranking 3×4 → SPY monthly price returns by calendar month, complete years only table 12×6 → SPY volume in each Santa Claus window session as a share of its year's average daily volume ranking 7×4 → Santa Claus rally window return by year, SPY, with the full calendar December alongside table 23×5 → The five weakest Santa Claus windows on record, with the calendar year that followed each table 5×5 → See all 3,293 queries →