STRASMORE/EXPLORE 2,170 QUERIES

The symbol's trading history by month: the gap and the new entity's arrival

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 2026-07-26, from SPCX: The Week It Went Underwater.

as of series 12×5read in context →
The symbol's trading history by month: the gap and the new entity's arrival — 12 rows by 5 columns, computed from US exchange, SIP and OPRA data.
monthminute_barslow_usdhigh_usdshares_m
2025-07-015824.326.40.02
2025-08-01482425.010.02
2025-09-016423.7725.350.02
2025-10-014524.6325.910.02
2025-11-012725.325.730.01
2025-12-0110121.3225.570.04
2026-01-014621.6722.510.02
2026-02-013021.6922.570.01
2026-03-016421.6222.590.04
2026-04-011321.9223.640.01
2026-06-0110960146.88225.642168.65
2026-07-016608145.07176.14485.33
Rows × columns
12 × 5
Period covered
to
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 The symbol's trading history by month: the gap and the new entity's arrival, derived from the stored result.
ColumnTypeRangeNotes
month date 2025-07-01 to 2026-07-01
minute_bars number 13 to 10,960
low_usd number 21.32 to 146.88 US dollars
high_usd number 22.51 to 225.64 US dollars
shares_m number 0.01 to 2,168.65 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
    toStartOfMonth(window_start) AS month,
    count() AS minute_bars,
    round(min(toFloat64(low)), 2) AS low_usd,
    round(max(toFloat64(high)), 2) AS high_usd,
    round(toFloat64(sum(volume)) / 1e6, 2) AS shares_m
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPCX'
  AND window_start >= toDateTime('2025-07-01 00:00:00') AND window_start < toDateTime('2026-07-11 00:00:00')
GROUP BY month
ORDER BY month

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More from this analysisSPCX: The Week It Went Underwater
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