How far one index ETF travelled inside each recent session
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 2026-11-01, from Can You Use a Limit Order on a Mutual Fund?.
| session_date | asof_label | high_low_range_pct | open_to_close_move_pct |
|---|---|---|---|
| 2026-09-17 | Sep 17 | 0.48 | 0.07 |
| 2026-09-18 | Sep 18 | 0.53 | 0.05 |
| 2026-09-21 | Sep 21 | 1.16 | 0.95 |
| 2026-09-22 | Sep 22 | 0.33 | 0.08 |
| 2026-09-23 | Sep 23 | 0.85 | 0.64 |
| 2026-09-24 | Sep 24 | 0.75 | 0.41 |
| 2026-09-25 | Sep 25 | 0.78 | 0.33 |
| 2026-09-28 | Sep 28 | 0.76 | 0.36 |
| 2026-09-29 | Sep 29 | 0.61 | 0.34 |
| 2026-09-30 | Sep 30 | 0.95 | 0.5 |
| 2026-10-01 | Oct 1 | 0.9 | 0.05 |
| 2026-10-02 | Oct 2 | 0.72 | 0.12 |
| 2026-10-05 | Oct 5 | 0.91 | 0.67 |
| 2026-10-06 | Oct 6 | 0.47 | 0.12 |
| 2026-10-07 | Oct 7 | 0.71 | 0.19 |
| 2026-10-08 | Oct 8 | 0.86 | 0.12 |
| 2026-10-09 | Oct 9 | 0.55 | 0.3 |
| 2026-10-12 | Oct 12 | 0.3 | 0.09 |
| 2026-10-13 | Oct 13 | 0.36 | 0.09 |
| 2026-10-14 | Oct 14 | 1.26 | 0.69 |
| 2026-10-15 | Oct 15 | 1.1 | 0.72 |
| 2026-10-16 | Oct 16 | 1.66 | 1.29 |
| 2026-10-19 | Oct 19 | 0.61 | 0.1 |
| 2026-10-20 | Oct 20 | 1.05 | 0.42 |
| 2026-10-21 | Oct 21 | 0.79 | 0.25 |
| 2026-10-22 | Oct 22 | 0.86 | 0.31 |
| 2026-10-23 | Oct 23 | 0.63 | 0.01 |
| 2026-10-26 | Oct 26 | 0.8 | 0.41 |
| 2026-10-27 | Oct 27 | 0.77 | 0.3 |
| 2026-10-28 | Oct 28 | 0.54 | 0.11 |
| 2026-10-29 | Oct 29 | 0.54 | 0.07 |
- Rows × columns
- 31 × 4
- 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 |
date | 2026-09-17 to 2026-10-29 | |
asof_label |
text | 31 distinct values (Oct 1, Oct 12, Oct 13…) | |
high_low_range_pct |
number | 0.3 to 1.66 | percent |
open_to_close_move_pct |
number | 0.01 to 1.29 | 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.
SELECT
toString(date) AS session_date,
formatDateTime(date, '%b %e') AS asof_label,
round((toFloat64(max(high)) / toFloat64(min(low)) - 1) * 100, 2) AS high_low_range_pct,
round(abs(toFloat64(any(close)) / toFloat64(any(open)) - 1) * 100, 2) AS open_to_close_move_pct
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
AND date >= today() - 45
AND date <= today() - 3
GROUP BY date
ORDER BY date
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