STRASMORE/EXPLORE 2,948 QUERIES

index_check

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 2026-10-02, from the-january-barometer.

as of ranking 3×4read in context →
index_check — 3 rows by 4 columns, computed from US exchange, SIP and OPRA data.
symbolyears_in_samplebarometer_hit_pctalways_up_pct
DIA2268.277.3
QQQ1471.485.7
SPY2259.177.3
Rows × columns
3 × 4
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 index_check, derived from the stored result.
ColumnTypeRangeNotes
symbol text 3 distinct values (DIA, QQQ, SPY)
years_in_sample number 14 to 22
barometer_hit_pct number 59.1 to 71.4 percent
always_up_pct number 77.3 to 85.7 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 yearly AS
(
    SELECT
        ticker,
        toYear(date)                              AS y,
        argMax(close, date)                       AS dec_close,
        argMaxIf(close, date, toMonth(date) = 1)   AS jan_close,
        countIf(toMonth(date) = 1)                AS jan_sessions,
        countIf(toMonth(date) = 12)               AS dec_sessions
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('SPY', 'DIA', 'QQQ')
      AND date >= '1999-01-01'
    GROUP BY ticker, y
),
scored AS
(
    SELECT
        cur.ticker                                              AS symbol,
        toFloat64(cur.jan_close) / toFloat64(prev.dec_close) - 1 AS jan_ret,
        toFloat64(cur.dec_close) / toFloat64(prev.dec_close) - 1 AS year_ret
    FROM yearly AS cur
    INNER JOIN yearly AS prev ON prev.ticker = cur.ticker AND prev.y = cur.y - 1
    WHERE cur.jan_sessions >= 15
      AND cur.dec_sessions >= 15
)
SELECT
    symbol,
    count()                                            AS years_in_sample,
    round(100 * avg((jan_ret > 0) = (year_ret > 0)), 1) AS barometer_hit_pct,
    round(100 * avg(year_ret > 0), 1)                  AS always_up_pct
FROM scored
GROUP BY symbol
ORDER BY symbol
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