GME on January 28, 2021: receipted (as-traded, pre-2022-split prices)

Name: GME on January 28, 2021: receipted (as-traded, pre-2022-split prices)
Creator: Strasmore
Published: 2026-07-26
License: https://www.strasmore.com/terms/

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.

as of 2026-07-26 scalar 1×14read in context →

prior close

345

rth open

265

gap pct

-23.2

rth low

112.25

low et

11:24

rth high

483

rth close

197.44

day change pct

-42.8

low vs prior pct

-67.5

day shares m

57.4

day notional bn

16.7

rth minute bars

314

rth high splitadj

120.75

thinnest other session bars

348

Rows × columns: 1 × 14
Computed: 2026-07-26
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 GME on January 28, 2021: receipted (as-traded, pre-2022-split prices), derived from the stored result.
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 2026-07-26, and the query below is what returned them.

the exact SQL behind every number

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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More from this analysisGameStop, Jan 28, 2021: $483 to $112 by Noon

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