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Regular-hours session scoreboard: open, close, low, high, volume for every SPCX session since listing

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 2026-08-20, from SPCX: SpaceX Stock Price Decline From Peak.

as of series 47×7read in context →
Regular-hours session scoreboard: open, close, low, high, volume for every SPCX session since listing — 47 rows by 7 columns, computed from US exchange, SIP and OPRA data.
session_datesession_labelrth_openrth_closerth_lowrth_highvol_m
2026-06-12Jun 12150161.29149.34176.52495.6
2026-06-15Jun 15171.74192.42168.35193219.6
2026-06-16Jun 16200.51201.99195.13225.64274.5
2026-06-17Jun 17209.84192.2187.01213.8179.3
2026-06-18Jun 18188.39184.97172.11190189.3
2026-06-22Jun 22176.04154.59154176.75150.7
2026-06-23Jun 23151.06156.06147.11165.5132.1
2026-06-24Jun 24154.2154.46150.72159.8665
2026-06-25Jun 25156.62153.01150160.6552.4
2026-06-26Jun 26150.62152.74148.51158.466.6
2026-06-29Jun 29157.35164151.74166.1767.9
2026-06-30Jun 30163.38170.72161.64172.471.4
2026-07-01Jul 1171.56157.69155171.7489.8
2026-07-02Jul 2159.72161.86155.88162.1650.7
2026-07-06Jul 6165.95160.4155.04167.975.8
2026-07-07Jul 7158.92149.58148.86159.366.2
2026-07-08Jul 8152.55148.33145.2152.9352.3
2026-07-09Jul 9150.44152.12147.59153.539.8
2026-07-10Jul 10150.12145.4145.07150.5738.8
2026-07-13Jul 13144.7139.19136.78144.9265.2
2026-07-14Jul 14140.95136.12135.52143.3341.1
2026-07-15Jul 15137.5135.28132.15139.3454.3
2026-07-16Jul 16135.01131.02130.74137.7650.1
2026-07-17Jul 17127.43123.92122.12130.3374.5
2026-07-20Jul 20125.28119.86119.68125.750.2
2026-07-21Jul 21122.1123.46120.36129.8872.6
2026-07-22Jul 22123.29115.27115.19124.7781.6
2026-07-23Jul 23115.2118.28110.85118.5566.9
2026-07-24Jul 24116115.07111.411749.2
2026-07-27Jul 27113.5113.65108.66114.8557.6
2026-07-28Jul 28109.32116.46107.01118.1373.8
2026-07-29Jul 29114.4112.59110.35117.5948
2026-07-30Jul 30115.14112.26111.35118.9349.5
2026-07-31Jul 31113.1108.44107.57113.6447.9
2026-08-03Aug 3106.4114.65104.83114.9261.7
2026-08-04Aug 4117.33125.95115.72126.71102.3
2026-08-05Aug 5112.37108.29106.66117.5177.7
2026-08-06Aug 6107.08114.91105.11115.75195.5
2026-08-07Aug 7114.96133.11114.53133.48218.8
2026-08-10Aug 10134.95138.74130.17139.24146.8
2026-08-11Aug 11138.66133.36130.5139.9899.8
2026-08-12Aug 12135.04146.21134.01149.6155.4
2026-08-13Aug 13143.75141.25139.76145.05107.3
2026-08-14Aug 14142.9139.84135.5144.0288.2
2026-08-17Aug 17139.98146.28139.58149.8107.1
2026-08-18Aug 18140.72143.33139.41146.4674.8
2026-08-19Aug 19139.19139.31139.16140.261.3
Rows × columns
47 × 7
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 Regular-hours session scoreboard: open, close, low, high, volume for every SPCX session since listing, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2026-06-12 to 2026-08-19
session_label text 47 distinct values (Aug 10, Aug 11, Aug 12…)
rth_open number 106.4 to 209.84 US dollars
rth_close number 108.29 to 201.99 US dollars
rth_low number 104.83 to 195.13 US dollars
rth_high number 113.64 to 225.64 US dollars
vol_m number 1.3 to 495.6

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
    toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
    formatDateTime(toDate(toTimeZone(window_start, 'America/New_York')), '%b %e') AS session_label,
    round(toFloat64(argMin(open, window_start)), 2) AS rth_open,
    round(toFloat64(argMax(close, window_start)), 2) AS rth_close,
    round(toFloat64(min(low)), 2) AS rth_low,
    round(toFloat64(max(high)), 2) AS rth_high,
    round(toFloat64(sum(volume)) / 1e6, 1) AS vol_m
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPCX'
  AND window_start >= '2026-06-12 00:00:00' AND window_start < now()
  AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
GROUP BY session_date, session_label
HAVING count() >= 150
ORDER BY session_date

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