sweep_day_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 2026-09-19, from what-is-a-liquidity-sweep.
| et_time | slice_high | slice_low | volume_millions |
|---|---|---|---|
| 09:30 | 674.15 | 672.47 | 8.05 |
| 09:45 | 675.02 | 672.96 | 4.51 |
| 10:00 | 675.41 | 672.79 | 4.18 |
| 10:15 | 675.02 | 672.82 | 3.44 |
| 10:30 | 675.56 | 674.31 | 2.48 |
| 10:45 | 675.32 | 672.74 | 3.63 |
| 11:00 | 672.82 | 669.85 | 4.59 |
| 11:15 | 669.97 | 667.42 | 7.76 |
| 11:30 | 668.17 | 664.13 | 7.29 |
| 11:45 | 665.79 | 659.39 | 9.6 |
| 12:00 | 662.38 | 658.03 | 9.44 |
| 12:15 | 659.48 | 656.6 | 9.03 |
| 12:30 | 659.54 | 655.45 | 6.84 |
| 12:45 | 657.88 | 655.49 | 5.41 |
| 13:00 | 661.85 | 656.72 | 6.48 |
| 13:15 | 661.97 | 658.73 | 4.31 |
| 13:30 | 660 | 656.24 | 3.38 |
| 13:45 | 656.4 | 654.12 | 4.63 |
| 14:00 | 655.85 | 653.86 | 5.14 |
| 14:15 | 657.54 | 654.85 | 2.81 |
| 14:30 | 656.99 | 655.21 | 3.74 |
| 14:45 | 658.25 | 655.3 | 4.28 |
| 15:00 | 658.13 | 655.72 | 4.22 |
| 15:15 | 657.53 | 655.35 | 4.54 |
| 15:30 | 656.56 | 653.13 | 6.47 |
| 15:45 | 653.96 | 651.89 | 12.88 |
- Rows × columns
- 26 × 4
- 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 | 26 distinct values (09:30, 09:45, 10:00…) | |
slice_high |
number | 653.96 to 675.56 | US dollars |
slice_low |
number | 651.89 to 674.31 | US dollars |
volume_millions |
number | 2.48 to 12.88 | 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.
the exact SQL behind every number
SELECT
formatDateTime(toStartOfFifteenMinutes(toTimeZone(window_start, 'America/New_York')), '%H:%i') AS et_time,
round(toFloat64(max(high)), 2) AS slice_high,
round(toFloat64(min(low)), 2) AS slice_low,
round(toFloat64(sum(volume)) / 1e6, 2) AS volume_millions
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= '2025-01-01'
AND window_start < '2026-01-02'
AND toDate(toTimeZone(window_start, 'America/New_York')) =
(
SELECT toDate(date)
FROM
(
SELECT
date,
hi,
cl,
lagInFrame(hi) OVER (ORDER BY date ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prior_hi
FROM
(
SELECT
date,
argMax(high, _ingest_time) AS hi,
argMax(close, _ingest_time) AS cl
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
AND date >= '2024-12-31'
AND date < '2026-01-01'
GROUP BY date
)
)
WHERE date >= '2025-01-01'
AND prior_hi > 0
AND hi > prior_hi
AND cl < prior_hi
ORDER BY (toFloat64(hi) - toFloat64(prior_hi)) / toFloat64(prior_hi) DESC, date DESC
LIMIT 1
)
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
GROUP BY et_time
ORDER BY et_time
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