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 2026-08-22, from What Is a Short Squeeze? GameStop, Measured.
january low
17.05
late january high
513.12
low to peak multiple
30.1
february low
38.5
february low date
2021-02-19
peak to trough pct
92.5
march rebound high
348.5
- 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.
the exact SQL behind every number
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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