spy_monthly
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 2026-09-30, from spy-etf-price-in-krw.
| month | spy_close_usd | as_of_label |
|---|---|---|
| 2025-08-01 | 645.05 | Aug 29, 2025 |
| 2025-09-01 | 666.18 | Sep 30, 2025 |
| 2025-10-01 | 682.06 | Oct 31, 2025 |
| 2025-11-01 | 683.39 | Nov 28, 2025 |
| 2025-12-01 | 681.92 | Dec 31, 2025 |
| 2026-01-01 | 691.97 | Jan 30, 2026 |
| 2026-02-01 | 685.99 | Feb 27, 2026 |
| 2026-03-01 | 650.34 | Mar 31, 2026 |
| 2026-04-01 | 718.66 | Apr 30, 2026 |
| 2026-05-01 | 756.48 | May 29, 2026 |
| 2026-06-01 | 746.77 | Jun 30, 2026 |
| 2026-07-01 | 747.03 | Jul 31, 2026 |
| 2026-08-01 | 767.05 | Aug 31, 2026 |
| 2026-09-01 | 764.61 | Sep 30, 2026 |
- Rows × columns
- 14 × 3
- 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 |
|---|---|---|---|
month |
date | 2025-08-01 to 2026-09-01 | |
spy_close_usd |
number | 645.05 to 767.05 | US dollars |
as_of_label |
text | 14 distinct values (Apr 30, 2026, Aug 29, 2025, Aug 31, 2026…) |
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(toStartOfMonth(date)) AS month,
round(toFloat64(argMax(close, date)), 2) AS spy_close_usd,
formatDateTime(max(date), '%b %e, %Y') AS as_of_label
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
AND date >= toStartOfMonth(today() - 400)
GROUP BY month
ORDER BY month
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.