GME daily close and volume: January 29 to February 9, 2021
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.
| session | close_usd | change_pct | shares_m |
|---|---|---|---|
| 2021-01-29 | 328.24 | 66.2 | 50.1 |
| 2021-02-01 | 227 | -30.8 | 37.3 |
| 2021-02-02 | 90.47 | -60.1 | 78.1 |
| 2021-02-03 | 92.04 | 1.7 | 42.6 |
| 2021-02-04 | 53.38 | -42 | 62.3 |
| 2021-02-05 | 63.76 | 19.4 | 81 |
| 2021-02-08 | 59.96 | -6 | 25.6 |
| 2021-02-09 | 50.32 | -16.1 | 26.7 |
- Rows × columns
- 8 × 4
- Period covered
- to
- 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 |
|---|---|---|---|
session |
date | 2021-01-29 to 2021-02-09 | |
close_usd |
number | 50.32 to 328.24 | US dollars |
change_pct |
number | -60.1 to 66.2 | percent |
shares_m |
number | 25.6 to 81 | count |
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.
SELECT
toString(et_date) AS session,
close_usd,
round(if(prev_close = 0, NULL, (close_usd / prev_close - 1) * 100), 1) AS change_pct,
shares_m
FROM (
SELECT et_date, close_usd, shares_m,
lagInFrame(close_usd) OVER (ORDER BY et_date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_close
FROM (
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
round(argMaxIf(toFloat64(close), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 2) AS close_usd,
round(toFloat64(sum(volume)) / 1e6, 1) AS shares_m
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'GME'
AND window_start >= toDateTime('2021-01-27 00:00:00') AND window_start < toDateTime('2021-02-09 23:59:00')
GROUP BY et_date
)
)
WHERE et_date >= toDate('2021-01-29') AND et_date <= toDate('2021-02-09')
ORDER BY et_date
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.