monthly_after_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 2026-09-23, from dax-futures-fdax-fdxm-fdxs.
| month | volume_millions | after_frankfurt_close_pct |
|---|---|---|
| 2025-09 | 55.7 | 59.4 |
| 2025-10 | 49.2 | 67 |
| 2025-11 | 40.5 | 61.2 |
| 2025-12 | 41 | 66.9 |
| 2026-01 | 55.2 | 69.3 |
| 2026-02 | 25.5 | 64.9 |
| 2026-03 | 74.9 | 70.9 |
| 2026-04 | 43.3 | 62.6 |
| 2026-05 | 26.2 | 67.6 |
| 2026-06 | 23.2 | 68.8 |
| 2026-07 | 24.8 | 69.2 |
| 2026-08 | 14.5 | 51.5 |
- Rows × columns
- 12 × 3
- 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 |
text | 12 distinct values (2025-09, 2025-10, 2025-11…) | |
volume_millions |
number | 14.5 to 74.9 | count |
after_frankfurt_close_pct |
number | 51.5 to 70.9 | 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.
WITH bars AS
(
SELECT
toTimeZone(window_start, 'America/New_York') AS et_ts,
toFloat64(volume) AS vol
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'EWG'
AND window_start >= '2025-09-01 00:00:00'
AND window_start < '2026-09-01 00:00:00'
)
SELECT
formatDateTime(toStartOfMonth(et_ts), '%Y-%m') AS month,
round(sum(vol) / 1e6, 1) AS volume_millions,
round(100 * sumIf(vol, (toHour(et_ts) * 60 + toMinute(et_ts)) >= 690) / sum(vol), 1) AS after_frankfurt_close_pct
FROM bars
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.