The arc on one row: issue price, first print, June peak, and the latest close
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 2026-10-05, from SPCX: SpaceX Stock Price Decline From Peak.
- Rows × columns
- 1 × 18
- 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 |
text | 1 distinct value (135) | |
ipo_open |
number | every row is 150 | US dollars |
peak_price |
number | every row is 225.64 | US dollars |
peak_label |
text | 1 distinct value (Jun 16, 2026) | |
peak_month |
number | every row is 6 | |
peak_day |
number | every row is 16 | |
latest_label |
text | 1 distinct value (Oct 2, 2026) | |
latest_close |
number | every row is 158.98 | US dollars |
drop_from_peak_usd |
number | every row is 66.66 | US dollars |
decline_from_peak_pct |
number | every row is 29.5 | percent |
peak_above_ipo_pct |
number | every row is 50.4 | percent |
vs_first_print_pct |
number | every row is 6 | percent |
vs_issue_pct |
number | every row is 17.8 | percent |
spy_period_pct |
number | every row is 3.91 | percent |
spy_minus_spcx_pp |
number | every row is -2.1 | |
spcx_since_peak_session_pct |
number | every row is -21.3 | percent |
spy_since_peak_session_pct |
number | every row is 2.6 | percent |
peak_window_gap_pp |
number | every row is 23.9 |
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
spcx_sessions AS (
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS d,
argMax(toFloat64(close), window_start) AS c,
max(toFloat64(high)) AS hi
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 d
HAVING count() >= 150
),
latest_row AS (
SELECT max(d) AS latest_d, argMax(c, d) AS latest_c
FROM spcx_sessions
),
peak_row AS (
SELECT max(hi) AS peak_hi, argMax(d, (hi, -toInt32(d))) AS peak_d
FROM spcx_sessions
),
first_print AS (
SELECT round(toFloat64(argMin(open, window_start)), 2) AS ipo_open_px
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPCX'
AND window_start >= '2026-06-12 00:00:00' AND window_start < '2026-06-13 00:00:00'
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
),
issue_row AS (
SELECT toFloat64(final_issue_price) AS issue_px
FROM global_markets.stocks_ipos
WHERE ticker = 'SPCX'
ORDER BY listing_date DESC LIMIT 1
),
spy_ret AS (
SELECT round((argMax(toFloat64(close), window_start) / argMin(toFloat64(open), window_start) - 1) * 100, 2) AS spy_pct
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
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
),
spy_sessions AS (
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS d,
argMax(toFloat64(close), window_start) AS c
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
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 d
HAVING count() >= 150
),
peak_window AS (
SELECT
anyIf(x.c, x.d = pk.peak_d) AS spcx_peak_close,
anyIf(y.c, y.d = pk.peak_d) AS spy_peak_close,
anyIf(y.c, y.d = lt.latest_d) AS spy_latest_close
FROM spcx_sessions x, spy_sessions y, peak_row pk, latest_row lt
WHERE x.d = y.d
)
SELECT
toString(round(ip.issue_px, 2)) AS issue_price,
fp.ipo_open_px AS ipo_open,
round(pk.peak_hi, 2) AS peak_price,
formatDateTime(pk.peak_d, '%b %e, %Y') AS peak_label,
toMonth(pk.peak_d) AS peak_month,
toDayOfMonth(pk.peak_d) AS peak_day,
formatDateTime(lt.latest_d, '%b %e, %Y') AS latest_label,
round(lt.latest_c, 2) AS latest_close,
round(pk.peak_hi - lt.latest_c, 2) AS drop_from_peak_usd,
round((pk.peak_hi - lt.latest_c) / pk.peak_hi * 100, 1) AS decline_from_peak_pct,
round((pk.peak_hi - fp.ipo_open_px) / fp.ipo_open_px * 100, 1) AS peak_above_ipo_pct,
round((lt.latest_c / fp.ipo_open_px - 1) * 100, 1) AS vs_first_print_pct,
round((lt.latest_c / ip.issue_px - 1) * 100, 1) AS vs_issue_pct,
sr.spy_pct AS spy_period_pct,
round(sr.spy_pct - (lt.latest_c / fp.ipo_open_px - 1) * 100, 1) AS spy_minus_spcx_pp,
round((lt.latest_c / pw.spcx_peak_close - 1) * 100, 1) AS spcx_since_peak_session_pct,
round((pw.spy_latest_close / pw.spy_peak_close - 1) * 100, 1) AS spy_since_peak_session_pct,
round((pw.spy_latest_close / pw.spy_peak_close - 1) * 100 - (lt.latest_c / pw.spcx_peak_close - 1) * 100, 1) AS peak_window_gap_pp
FROM peak_row pk, first_print fp, issue_row ip, latest_row lt, spy_ret sr, peak_window pw
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