rvol_trace
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 2026-09-25, from relative-volume-screener-from-the-free-sql-api.
| et_time | rvol_time_adjusted | rvol_naive |
|---|---|---|
| 09:30 | 1.67 | 0.26 |
| 10:00 | 2.18 | 0.53 |
| 10:30 | 2.49 | 0.76 |
| 11:00 | 2.49 | 0.91 |
| 11:30 | 2.75 | 1.15 |
| 12:00 | 2.81 | 1.31 |
| 12:30 | 2.83 | 1.45 |
| 13:00 | 2.91 | 1.61 |
| 13:30 | 2.99 | 1.78 |
| 14:00 | 3.08 | 1.98 |
| 14:30 | 2.97 | 2.09 |
| 15:00 | 2.87 | 2.2 |
| 15:30 | 2.59 | 2.59 |
- 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…) | |
rvol_time_adjusted |
number | 1.67 to 3.08 | |
rvol_naive |
number | 0.26 to 2.59 |
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
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
toTimeZone(window_start, 'America/New_York') AS et_ts,
volume
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'CSCO'
AND window_start >= '2026-08-24'
AND window_start < '2026-09-23'
)
),
slots AS (
SELECT
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 session_date, et_time
),
cum AS (
SELECT
session_date,
et_time,
slot_min,
sum(slot_vol) OVER (PARTITION BY session_date ORDER BY slot_min) AS cum_vol
FROM slots
),
base AS (
SELECT avg(day_vol) AS avg_day_vol
FROM
(
SELECT session_date, sum(slot_vol) AS day_vol
FROM slots
WHERE session_date < '2026-09-22'
GROUP BY session_date
)
)
SELECT
et_time,
round(maxIf(cum_vol, session_date = '2026-09-22') / avgIf(cum_vol, session_date < '2026-09-22'), 2) AS rvol_time_adjusted,
round(maxIf(cum_vol, session_date = '2026-09-22') / (SELECT avg_day_vol FROM base), 2) AS rvol_naive
FROM cum
GROUP BY et_time
ORDER BY min(slot_min)
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