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.
| symbol | years_in_sample | barometer_hit_pct | always_up_pct |
|---|---|---|---|
| DIA | 22 | 68.2 | 77.3 |
| QQQ | 14 | 71.4 | 85.7 |
| SPY | 22 | 59.1 | 77.3 |
- Rows × columns
- 3 × 4
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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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