Share of a session's volume completed by each half hour: SPY and KO
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 2026-11-07, from Relative Volume Screener in SQL: Free API.
| et_time | spy_share_pct | ko_share_pct |
|---|---|---|
| 09:30 | 11.7 | 14.1 |
| 10:00 | 19.8 | 23.4 |
| 10:30 | 27.1 | 31.2 |
| 11:00 | 33.7 | 38.3 |
| 11:30 | 39.2 | 44 |
| 12:00 | 43.9 | 48.7 |
| 12:30 | 48.7 | 53.6 |
| 13:00 | 53.3 | 58.3 |
| 13:30 | 58 | 63.3 |
| 14:00 | 63.6 | 68.1 |
| 14:30 | 69.5 | 73.3 |
| 15:00 | 76.7 | 80.1 |
| 15:30 | 100 | 100 |
- Rows × columns
- 13 × 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 |
|---|---|---|---|
et_time |
text | 13 distinct values (09:30, 10:00, 10:30…) | |
spy_share_pct |
number | 11.7 to 100 | percent |
ko_share_pct |
number | 14.1 to 100 | 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
ticker,
toDate(et_ts) AS session_date,
formatDateTime(toStartOfInterval(et_ts, INTERVAL 30 MINUTE), '%H:%i') AS et_time,
toHour(et_ts) * 60 + toMinute(et_ts) AS et_min,
toFloat64(volume) AS vol
FROM
(
SELECT
ticker,
toTimeZone(window_start, 'America/New_York') AS et_ts,
volume
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('SPY', 'KO')
AND window_start >= toDateTime(today() - 40)
)
),
slots AS (
SELECT
ticker,
session_date,
et_time,
min(et_min) AS slot_min,
sum(vol) AS slot_vol
FROM bars
WHERE et_min >= 570 AND et_min < 960
GROUP BY ticker, session_date, et_time
),
complete AS (
SELECT ticker, session_date
FROM slots
GROUP BY ticker, session_date
HAVING max(slot_min) >= 930
),
slot_avg AS (
SELECT
ticker,
et_time,
min(slot_min) AS slot_min,
avg(slot_vol) AS avg_slot_vol
FROM slots
WHERE (ticker, session_date) IN (SELECT ticker, session_date FROM complete)
GROUP BY ticker, et_time
),
cum AS (
SELECT
ticker,
et_time,
slot_min,
sum(avg_slot_vol) OVER (PARTITION BY ticker ORDER BY slot_min) AS cum_vol,
sum(avg_slot_vol) OVER (PARTITION BY ticker) AS day_vol
FROM slot_avg
)
SELECT
et_time,
round(100 * maxIf(cum_vol / day_vol, ticker = 'SPY'), 1) AS spy_share_pct,
round(100 * maxIf(cum_vol / day_vol, ticker = 'KO'), 1) AS ko_share_pct
FROM cum
GROUP BY et_time
ORDER BY min(slot_min)
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