GME on January 28, 2021: receipted (as-traded, pre-2022-split prices)
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 GameStop, Jan 28, 2021: $483 to $112 by Noon.
- Rows × columns
- 1 × 14
- 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 |
|---|---|---|---|
prior_close |
number | every row is 345 | US dollars |
rth_open |
number | every row is 265 | US dollars |
gap_pct |
number | every row is -23.2 | percent |
rth_low |
number | every row is 112.25 | US dollars |
low_et |
text | 1 distinct value (11:24) | |
rth_high |
number | every row is 483 | US dollars |
rth_close |
number | every row is 197.44 | US dollars |
day_change_pct |
number | every row is -42.8 | percent |
low_vs_prior_pct |
number | every row is -67.5 | percent |
day_shares_m |
number | every row is 57.4 | count |
day_notional_bn |
number | every row is 16.7 | |
rth_minute_bars |
number | every row is 314 | |
rth_high_splitadj |
number | every row is 120.75 | US dollars |
thinnest_other_session_bars |
number | every row is 348 |
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 argMaxIf(toFloat64(close), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'GME'
AND window_start >= toDateTime('2021-01-27 00:00:00') AND window_start < toDateTime('2021-01-28 04:00:00')
) AS prior_rth_close,
(
SELECT min(bars)
FROM (
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
countIf((toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) AS bars
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'GME'
AND window_start >= toDateTime('2021-01-25 04:00:00') AND window_start < toDateTime('2021-02-05 04:00:00')
GROUP BY et_date
HAVING et_date != toDate('2021-01-28')
)
) AS thinnest_other
SELECT
round(prior_rth_close, 2) AS prior_close,
round(toFloat64(argMinIf(open, window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)), 2) AS rth_open,
round((toFloat64(argMinIf(open, window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)) / prior_rth_close - 1) * 100, 1) AS gap_pct,
round(minIf(toFloat64(low), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 2) AS rth_low,
formatDateTime(toTimeZone(argMinIf(window_start, (toFloat64(low), toInt64(toUnixTimestamp(window_start))), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 'America/New_York'), '%H:%i') AS low_et,
round(maxIf(toFloat64(high), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 2) AS rth_high,
round(toFloat64(argMaxIf(close, window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)), 2) AS rth_close,
round((toFloat64(argMaxIf(close, window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)) / prior_rth_close - 1) * 100, 1) AS day_change_pct,
round((minIf(toFloat64(low), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) / prior_rth_close - 1) * 100, 1) AS low_vs_prior_pct,
round(toFloat64(sum(volume)) / 1e6, 1) AS day_shares_m,
round(sum(toFloat64(close) * toFloat64(volume)) / 1e9, 1) AS day_notional_bn,
countIf((toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) AS rth_minute_bars,
round(maxIf(toFloat64(high), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) / 4, 2) AS rth_high_splitadj,
thinnest_other AS thinnest_other_session_bars
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'GME'
AND window_start >= toDateTime('2021-01-28 04:00:00') AND window_start < toDateTime('2021-01-28 23:59:00')
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