The rank receipts: DIA and IWM against every prior first half (rank 1 = best; self-excluded)
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 2026-07-26, from Market Recap: H1 2026.
| ticker | h1_2026_pct | rank_best | halves_compared | first_year | sessions_2026 |
|---|---|---|---|---|---|
| DIA | 8.4 | 4 | 23 | 2004 | 123 |
| IWM | 21.3 | 1 | 23 | 2004 | 123 |
- Rows × columns
- 2 × 6
- 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 |
|---|---|---|---|
ticker |
text | 2 distinct values (DIA, IWM) | |
h1_2026_pct |
number | 8.4 to 21.3 | percent |
rank_best |
number | 1 to 4 | |
halves_compared |
number | every row is 23 | |
first_year |
number | every row is 2,004 | |
sessions_2026 |
number | every row is 123 |
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.
SELECT ticker,
round(anyIf(ret, y = 2026), 1) AS h1_2026_pct,
arrayCount(x -> x > anyIf(ret, y = 2026), groupArrayIf(ret, y != 2026)) + 1 AS rank_best,
count() AS halves_compared,
min(y) AS first_year,
anyIf(sessions, y = 2026) AS sessions_2026
FROM (
SELECT toYear(toTimeZone(window_start, 'America/New_York')) AS y,
ticker,
uniqExact(toDate(toTimeZone(window_start, 'America/New_York'))) AS sessions,
(argMax(toFloat64(close), window_start) / argMin(toFloat64(open), window_start) - 1) * 100 AS ret
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('DIA', 'IWM')
AND window_start >= toDateTime('2003-01-01 00:00:00')
AND window_start < toDateTime('2026-07-01 00:00:00')
AND toMonth(toTimeZone(window_start, 'America/New_York')) <= 6
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
GROUP BY y, ticker
HAVING sessions >= 100
)
GROUP BY ticker
ORDER BY ticker ASC
Работайте с этими данными в своём ИИ-ассистенте
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