The four major index trackers across the same window, rebased to the first open
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 Movers This Month.
| session | sp500_pct | nasdaq100_pct | dow_pct | russell2000_pct |
|---|---|---|---|---|
| 2026-07-22 | 0.1 | 0.23 | -0.02 | -0.65 |
| 2026-07-23 | -1.12 | -1.65 | -1.04 | -1.22 |
| 2026-07-24 | -1.04 | -2.76 | -0.54 | -1.52 |
| 2026-07-27 | -1.02 | -3.06 | -0.06 | -0.94 |
| 2026-07-28 | -0.78 | -4 | 1.02 | -0.79 |
| 2026-07-29 | -2.29 | -5.98 | -1.2 | -2.4 |
| 2026-07-30 | -0.65 | -2.85 | -0.02 | -1.07 |
| 2026-07-31 | 0.03 | -2.23 | 0.5 | -1.53 |
| 2026-08-03 | 1.48 | -0.51 | 1.84 | 0.18 |
| 2026-08-04 | 3.3 | 2.85 | 3.59 | 2.02 |
| 2026-08-05 | 3.1 | 1.94 | 4.06 | 1.37 |
| 2026-08-06 | 2.93 | 1.56 | 3.18 | 0.86 |
| 2026-08-07 | 3.56 | 2.75 | 3.44 | 1.97 |
| 2026-08-10 | 3.54 | 2.44 | 3.33 | 1.45 |
| 2026-08-11 | 3.19 | 2.09 | 3 | 1.79 |
| 2026-08-12 | 3.47 | 2.85 | 2.96 | 2.37 |
| 2026-08-13 | 4.18 | 4.04 | 3.12 | 2.63 |
| 2026-08-14 | 3.98 | 3.9 | 2.91 | 3.17 |
| 2026-08-17 | 3.49 | 3.73 | 2.42 | 2.83 |
| 2026-08-18 | 2.78 | 1.99 | 2.17 | 1.54 |
| 2026-08-19 | 3.01 | 1.78 | 2.44 | 2.04 |
- Rows × columns
- 21 × 5
- Period covered
- to
- 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 |
|---|---|---|---|
session |
date | 2026-07-22 to 2026-08-19 | |
sp500_pct |
number | -2.29 to 4.18 | percent |
nasdaq100_pct |
number | -5.98 to 4.04 | percent |
dow_pct |
number | -1.2 to 4.06 | percent |
russell2000_pct |
number | -2.4 to 3.17 | 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 window_days AS (
SELECT d
FROM (
SELECT d, max(d) OVER () AS last_full
FROM (
SELECT d
FROM (
SELECT d, bars, medianExact(bars) OVER () AS typical_bars
FROM (
SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d, count() AS bars
FROM global_markets.delayed_stocks_minute_aggs
WHERE window_start >= now() - INTERVAL 34 DAY
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 d
HAVING d < toDate(toTimeZone(now(), 'America/New_York'))
)
)
WHERE bars >= 0.85 * typical_bars
)
)
WHERE d > last_full - 30
)
SELECT session,
round(anyIf(cum_pct, ticker = 'SPY'), 2) AS sp500_pct,
round(anyIf(cum_pct, ticker = 'QQQ'), 2) AS nasdaq100_pct,
round(anyIf(cum_pct, ticker = 'DIA'), 2) AS dow_pct,
round(anyIf(cum_pct, ticker = 'IWM'), 2) AS russell2000_pct
FROM (
SELECT ticker,
formatDateTime(d, '%Y-%m-%d') AS session,
100 * (c / first_value(o) OVER (PARTITION BY ticker ORDER BY d) - 1) AS cum_pct
FROM (
SELECT ticker,
toDate(toTimeZone(window_start, 'America/New_York')) AS d,
argMin(toFloat64(open), window_start) AS o,
argMax(toFloat64(close), window_start) AS c
FROM global_markets.delayed_stocks_minute_aggs
WHERE window_start >= now() - INTERVAL 34 DAY
AND ticker IN ('SPY', 'QQQ', 'DIA', 'IWM')
AND toDate(toTimeZone(window_start, 'America/New_York')) IN (SELECT d FROM window_days)
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
)
)
GROUP BY session
ORDER BY session
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