GME 2021, one row: January low, late-January peak, February trough, March rebound (as-traded 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 2026-09-26, from What Is a Short Squeeze? GameStop, Measured.
- Rows × columns
- 1 × 7
- 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 |
|---|---|---|---|
january_low |
number | every row is 17.05 | US dollars |
late_january_high |
number | every row is 513.12 | US dollars |
low_to_peak_multiple |
number | every row is 30.1 | US dollars |
february_low |
number | every row is 38.5 | US dollars |
february_low_date |
date | 2021-02-19 | |
peak_to_trough_pct |
number | every row is 92.5 | percent |
march_rebound_high |
number | every row is 348.5 | US dollars |
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 daily AS (
SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS day,
min(toFloat64(low)) AS lo,
max(toFloat64(high)) AS hi
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'GME'
AND window_start >= '2021-01-04 04:00:00'
AND window_start < '2021-04-01 04:00:00'
GROUP BY day
)
SELECT round(minIf(lo, day < '2021-02-01'), 2) AS january_low,
round(maxIf(hi, day < '2021-02-01'), 2) AS late_january_high,
round(maxIf(hi, day < '2021-02-01') / minIf(lo, day < '2021-02-01'), 1) AS low_to_peak_multiple,
round(minIf(lo, day >= '2021-02-01' AND day < '2021-03-01'), 2) AS february_low,
toString(argMinIf(day, lo, day >= '2021-02-01' AND day < '2021-03-01')) AS february_low_date,
round((1 - minIf(lo, day >= '2021-02-01' AND day < '2021-03-01') / maxIf(hi, day < '2021-02-01')) * 100, 1) AS peak_to_trough_pct,
round(maxIf(hi, day >= '2021-03-01'), 2) AS march_rebound_high
FROM daily
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