The last sessions as SPLG and the first as SPYM, close by close
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 2026-09-27, from SPLG Is Now SPYM: What Changed for Holders.
| session_date | symbol | date_pretty | close | volume_millions |
|---|---|---|---|---|
| 2025-10-20 | SPLG | Oct 20 | 78.97 | 5.7 |
| 2025-10-21 | SPLG | Oct 21 | 78.97 | 6.2 |
| 2025-10-22 | SPLG | Oct 22 | 78.55 | 11.2 |
| 2025-10-23 | SPLG | Oct 23 | 79.01 | 8 |
| 2025-10-24 | SPLG | Oct 24 | 79.67 | 6.8 |
| 2025-10-27 | SPLG | Oct 27 | 80.61 | 5.4 |
| 2025-10-28 | SPLG | Oct 28 | 80.82 | 9.9 |
| 2025-10-29 | SPLG | Oct 29 | 80.86 | 13 |
| 2025-10-30 | SPLG | Oct 30 | 80 | 13.4 |
| 2025-10-31 | SPYM | Oct 31 | 80.24 | 3.6 |
| 2025-11-03 | SPYM | Nov 3 | 80.39 | 7.5 |
| 2025-11-04 | SPYM | Nov 4 | 79.45 | 6.6 |
| 2025-11-05 | SPYM | Nov 5 | 79.71 | 5.1 |
| 2025-11-06 | SPYM | Nov 6 | 78.85 | 8.7 |
| 2025-11-07 | SPYM | Nov 7 | 78.93 | 7.8 |
| 2025-11-10 | SPYM | Nov 10 | 80.16 | 7.1 |
| 2025-11-11 | SPYM | Nov 11 | 80.33 | 6.8 |
| 2025-11-12 | SPYM | Nov 12 | 80.38 | 5.4 |
| 2025-11-13 | SPYM | Nov 13 | 79.06 | 8 |
| 2025-11-14 | SPYM | Nov 14 | 79.05 | 7.6 |
- Rows × columns
- 20 × 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 |
date | 2025-10-20 to 2025-11-14 | |
symbol |
text | 2 distinct values (SPLG, SPYM) | |
date_pretty |
text | 20 distinct values (Nov 10, Nov 11, Nov 12…) | |
close |
number | 78.55 to 80.86 | US dollars |
volume_millions |
number | 3.6 to 13.4 | count |
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,
ticker AS symbol,
formatDateTime(date, '%b %e') AS date_pretty,
round(toFloat64(max(close)), 2) AS close,
round(toFloat64(max(volume)) / 1e6, 1) AS volume_millions
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('SPLG', 'SPYM')
AND date >= '2025-10-20'
AND date < '2025-11-15'
GROUP BY date, ticker
ORDER BY date
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