STRASMORE/EXPLORE 3,171 QUERIES

last_hour_cost

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 2026-10-07, from us-stock-market-hours-india-time.

as of ranking 6×3read in context →
last_hour_cost — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickerfirst_30min_pctlast_60min_pct
SPY11.4629.45
KO15.2926.46
AAPL17.4120.98
AMZN18.2920.64
MSFT19.419.97
NVDA18.4518.17
Rows × columns
6 × 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 last_hour_cost, derived from the stored result.
ColumnTypeRangeNotes
ticker text 6 distinct values (AAPL, AMZN, KO…)
first_30min_pct number 11.46 to 19.4 percent
last_60min_pct number 18.17 to 29.45 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,
        toHour(toTimeZone(window_start, 'America/New_York')) * 60
            + toMinute(toTimeZone(window_start, 'America/New_York')) AS et_min,
        volume
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'AMZN', 'SPY', 'KO')
      AND window_start >= today() - 90
      AND window_start <  today() - 2
)
SELECT
    ticker,
    round(100 * toFloat64(sumIf(volume, et_min >= 570 AND et_min < 600))
          / toFloat64(sumIf(volume, et_min >= 570 AND et_min < 960)), 2) AS first_30min_pct,
    round(100 * toFloat64(sumIf(volume, et_min >= 900 AND et_min < 960))
          / toFloat64(sumIf(volume, et_min >= 570 AND et_min < 960)), 2) AS last_60min_pct
FROM bars
GROUP BY ticker
HAVING sumIf(volume, et_min >= 570 AND et_min < 960) > 0
ORDER BY last_60min_pct DESC
⌘/Ctrl + Enter

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