The month on one row: issue to close, with the extremes and their receipts
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 2026-07-27, from SPCX: SpaceX's First Month on the Public Market.
- Rows × columns
- 1 × 22
- Period covered
- 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 |
|---|---|---|---|
issue_price_usd |
number | every row is 135 | US dollars |
opening_cross_price |
number | every row is 150 | US dollars |
open_pop_vs_issue_pct |
number | every row is 11.1 | percent |
peak_close_date |
date | 2026-06-16 | |
peak_close |
number | every row is 201.99 | US dollars |
final_close |
number | every row is 170.72 | US dollars |
final_vs_issue_pct |
number | every row is 26.5 | percent |
final_below_peak_pct |
number | every row is 15.5 | percent |
month_high |
number | every row is 225.64 | US dollars |
month_high_first_bar_et |
date | 2026-06-16 | |
bars_within_cent_of_high |
number | every row is 2 | US dollars |
high_minute_trades |
number | every row is 47,699 | US dollars |
month_low_extended |
number | every row is 146.88 | US dollars |
month_low_bar_et |
date | 2026-06-23 | |
bars_within_cent_of_low |
number | every row is 2 | US dollars |
low_minute_trades |
number | every row is 14,844 | US dollars |
month_low_regular_hours |
number | every row is 147.11 | US dollars |
rth_minus_extended_low |
number | every row is 0.23 | US dollars |
month_shares_bn |
number | every row is 2.17 | count |
sessions |
number | every row is 12 | |
may_2026_bars |
number | every row is 0 | |
spy_bars_june19 |
number | every row is 0 |
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
(
SELECT toFloat64(final_issue_price)
FROM global_markets.stocks_ipos
WHERE ticker = 'SPCX'
ORDER BY listing_date DESC LIMIT 1
) AS issue_px,
(
SELECT count() FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPCX'
AND window_start >= toDateTime('2026-05-01 00:00:00') AND window_start < toDateTime('2026-06-01 00:00:00')
) AS may_bars,
(
SELECT count() FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= toDateTime('2026-06-19 00:00:00') AND window_start < toDateTime('2026-06-20 00:00:00')
) AS spy_jun19,
(
SELECT (toString(argMax(et_date, c)), max(c), argMax(c, et_date))
FROM (
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
argMax(toFloat64(close), window_start) AS c
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPCX'
AND window_start >= toDateTime('2026-06-12 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
AND (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199
GROUP BY et_date
)
) AS closes,
(
SELECT max(toFloat64(high)) FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPCX'
AND window_start >= toDateTime('2026-06-12 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
) AS hi,
(
SELECT min(toFloat64(low)) FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPCX'
AND window_start >= toDateTime('2026-06-12 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
) AS lo
SELECT
round(issue_px, 2) AS issue_price_usd,
round(toFloat64(argMin(open, window_start)), 2) AS opening_cross_price,
round((toFloat64(argMin(open, window_start)) / issue_px - 1) * 100, 1) AS open_pop_vs_issue_pct,
closes.1 AS peak_close_date,
round(closes.2, 2) AS peak_close,
round(closes.3, 2) AS final_close,
round((closes.3 / issue_px - 1) * 100, 1) AS final_vs_issue_pct,
round((1 - closes.3 / closes.2) * 100, 1) AS final_below_peak_pct,
round(hi, 2) AS month_high,
formatDateTime(toTimeZone(minIf(window_start, toFloat64(high) >= hi - 0.011), 'America/New_York'), '%Y-%m-%d %H:%i') AS month_high_first_bar_et,
countIf(toFloat64(high) >= hi - 0.011) AS bars_within_cent_of_high,
argMinIf(transactions, window_start, toFloat64(high) >= hi - 0.011) AS high_minute_trades,
round(lo, 2) AS month_low_extended,
formatDateTime(toTimeZone(argMin(window_start, toFloat64(low)), 'America/New_York'), '%Y-%m-%d %H:%i') AS month_low_bar_et,
countIf(toFloat64(low) <= lo + 0.011) AS bars_within_cent_of_low,
argMin(transactions, toFloat64(low)) AS low_minute_trades,
round(minIf(toFloat64(low), (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199), 2) AS month_low_regular_hours,
round(minIf(toFloat64(low), (toHour(window_start) * 60 + toMinute(window_start)) BETWEEN 810 AND 1199) - lo, 2) AS rth_minus_extended_low,
round(toFloat64(sum(volume)) / 1e9, 2) AS month_shares_bn,
uniqExact(toDate(toTimeZone(window_start, 'America/New_York'))) AS sessions,
may_bars AS may_2026_bars,
spy_jun19 AS spy_bars_june19
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPCX'
AND window_start >= toDateTime('2026-06-12 00:00:00') AND window_start < toDateTime('2026-07-01 00:00:00')
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