The four major index ETFs this week, for context
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 2026-08-25, from Biggest Stock Gainers and Losers This Week.
| index_etf | week_return_pct |
|---|---|
| Dow (DIA) | 0.06 |
| S&P 500 (SPY) | -0.66 |
| Russell 2000 (IWM) | -1.5 |
| Nasdaq 100 (QQQ) | -1.94 |
- Rows × columns
- 4 × 2
- 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 |
|---|---|---|---|
index_etf |
text | 4 distinct values | |
week_return_pct |
number | -1.94 to 0.06 | 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.
the exact SQL behind every number
WITH sess AS (
SELECT ticker, toDate(toTimeZone(window_start, 'America/New_York')) AS d,
argMin(toFloat64(open), toTimeZone(window_start, 'America/New_York')) AS o,
argMax(toFloat64(close), toTimeZone(window_start, 'America/New_York')) AS c
FROM global_markets.delayed_stocks_minute_aggs
WHERE window_start >= now() - INTERVAL 12 DAY
AND ticker IN ('SPY', 'QQQ', 'DIA', 'IWM')
AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
GROUP BY ticker, d
),
wk AS (SELECT ticker, argMin(o, d) AS wo, argMax(c, d) AS wc FROM sess WHERE d >= (SELECT max(d) FROM sess) - 6 GROUP BY ticker)
SELECT multiIf(ticker = 'SPY', 'S&P 500 (SPY)', ticker = 'QQQ', 'Nasdaq 100 (QQQ)', ticker = 'DIA', 'Dow (DIA)', ticker = 'IWM', 'Russell 2000 (IWM)', ticker) AS index_etf,
round((wc / wo - 1) * 100, 2) AS week_return_pct
FROM wk ORDER BY week_return_pct DESC
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