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Six US index funds, identical window: price return, January 2 to June 30, 2026

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 2026-08-03, from Can an AI Trading Track Record Be Verified?.

as of ranking 6×3read in context →
Six US index funds, identical window: price return, January 2 to June 30, 2026 — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickerreturn_pctpoints_above_worst
IWM21.1212.7
QQQ18.510.08
MDY15.977.55
RSP10.742.32
SPY8.790.37
DIA8.420
Rows × columns
6 × 3
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 Six US index funds, identical window: price return, January 2 to June 30, 2026, derived from the stored result.
ColumnTypeRangeNotes
ticker text 6 distinct values (DIA, IWM, MDY…)
return_pct number 8.42 to 21.12 percent
points_above_worst number 0 to 12.7

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.

the exact SQL behind every number
WITH rets AS (
    SELECT ticker,
           round(100 * (toFloat64(argMax(close, window_start))
                        / toFloat64(argMin(close, window_start)) - 1), 2) AS return_pct
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'QQQ', 'IWM', 'DIA', 'RSP', 'MDY')
      AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2026-01-02')
      AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2026-06-30')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY ticker
)
SELECT ticker,
       return_pct,
       round(return_pct - min(return_pct) OVER (), 2) AS points_above_worst
FROM rets
ORDER BY return_pct DESC

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