Share of SPY regular hours volume by half hour: expiration Friday vs the Friday after
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 2026-08-22, from Quadruple Witching vs Triple Witching.
| et_time | expiry_friday_pct | ordinary_friday_pct |
|---|---|---|
| 09:30 | 8.07 | 11.59 |
| 10:00 | 5.9 | 7.39 |
| 10:30 | 14.17 | 5.12 |
| 11:00 | 4.89 | 7.32 |
| 11:30 | 6.43 | 5.36 |
| 12:00 | 5.21 | 4.75 |
| 12:30 | 3.34 | 5.09 |
| 13:00 | 3.57 | 6.88 |
| 13:30 | 3.81 | 5.26 |
| 14:00 | 7.66 | 6.65 |
| 14:30 | 7.1 | 6.19 |
| 15:00 | 8.96 | 8.92 |
| 15:30 | 20.34 | 19 |
| 16:00 | 0.54 | 0.46 |
- 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 |
|---|---|---|---|
et_time |
date | 09:30 to 16:00 | |
expiry_friday_pct |
number | 0.54 to 20.34 | percent |
ordinary_friday_pct |
number | 0.46 to 19 | 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 bars AS
(
SELECT
toTimeZone(window_start, 'America/New_York') AS et,
toDate(toTimeZone(window_start, 'America/New_York')) AS session,
toFloat64(volume) AS vol
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= '2026-03-20 00:00:00'
AND window_start < '2026-03-28 00:00:00'
AND toDate(toTimeZone(window_start, 'America/New_York')) IN ('2026-03-20', '2026-03-27')
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
),
day_totals AS
(
SELECT
sumIf(vol, session = '2026-03-20') AS expiry_total,
sumIf(vol, session = '2026-03-27') AS ordinary_total
FROM bars
)
SELECT
formatDateTime(toStartOfInterval(b.et, INTERVAL 30 MINUTE), '%H:%i') AS et_time,
round(100 * sumIf(b.vol, b.session = '2026-03-20') / any(t.expiry_total), 2) AS expiry_friday_pct,
round(100 * sumIf(b.vol, b.session = '2026-03-27') / any(t.ordinary_total), 2) AS ordinary_friday_pct
FROM bars AS b
CROSS JOIN day_totals AS t
GROUP BY et_time
ORDER BY et_time
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