STRASMORE/EXPLORE 2,830 QUERIES

price_travel

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 2026-09-30, from mass-cancel-and-purge-ports.

as of series 54×3read in context →
price_travel — 54 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_timebusy_day_travel_pctquiet_day_travel_pct
08:006.621.08
08:100.580.06
08:202.120.28
08:300.560.09
08:401.270.08
08:500.630.16
09:000.740.2
09:100.660.14
09:204.290.53
09:301.681.29
09:402.720.47
09:501.630.62
10:001.660.58
10:107.170.42
10:204.220.21
10:303.460.25
10:401.790.45
10:501.880.45
11:002.40.58
11:103.980.29
11:202.730.22
11:301.770.5
11:401.060.22
11:501.090.19
12:001.180.21
12:100.90.22
12:201.420.17
12:301.10.16
12:401.090.26
12:500.740.27
13:001.840.24
13:101.450.25
13:201.020.2
13:300.960.24
13:401.220.12
13:501.10.29
14:001.310.22
14:102.450.37
14:201.590.18
14:301.270.18
14:401.030.12
14:500.890.57
15:000.970.27
15:101.030.23
15:201.080.13
15:301.530.12
15:400.970.16
15:501.890.44
16:001.060.15
16:100.950.16
16:200.850.1
16:300.370.07
16:400.480.03
16:500.360.05
Rows × columns
54 × 3
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for price_travel, derived from the stored result.
ColumnTypeRangeNotes
et_time text 54 distinct values (08:00, 08:10, 08:20…)
busy_day_travel_pct number 0.36 to 7.17 percent
quiet_day_travel_pct number 0.03 to 1.29 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.

SELECT
    concat(leftPad(toString(intDiv(et_minute, 60)), 2, '0'), ':',
           leftPad(toString(et_minute % 60), 2, '0'))                   AS et_time,
    round(maxIf(travel_pct, session_date = '2025-04-07'), 2)            AS busy_day_travel_pct,
    round(maxIf(travel_pct, session_date = '2025-06-10'), 2)            AS quiet_day_travel_pct
FROM
(
    SELECT
        session_date,
        et_minute,
        100 * (toFloat64(max(high)) - toFloat64(min(low))) / toFloat64(min(low)) AS travel_pct
    FROM
    (
        SELECT
            toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
            intDiv(toHour(toTimeZone(window_start, 'America/New_York')) * 60
                 + toMinute(toTimeZone(window_start, 'America/New_York')), 10) * 10 AS et_minute,
            high,
            low
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'AAPL'
          AND (
                  (window_start >= '2025-04-07 12:00:00' AND window_start < '2025-04-07 21:00:00')
               OR (window_start >= '2025-06-10 12:00:00' AND window_start < '2025-06-10 21:00:00')
              )
    )
    GROUP BY session_date, et_minute
)
GROUP BY et_minute
ORDER BY et_minute
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