STRASMORE/EXPLORE 2,549 QUERIES

gme_tape

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 2026-09-24, from what-is-a-gamma-squeeze.

as of series 14×5read in context →
gme_tape — 14 rows by 5 columns, computed from US exchange, SIP and OPRA data.
dateday_labelclose_change_pcthigh_low_range_pctvolume_millions
2021-01-191月19日10.924.2301
2021-01-201月20日-0.614.2134.7
2021-01-211月21日1020.9228.7
2021-01-221月22日51.181.4789.5
2021-01-251月25日18.1160.4718.5
2021-01-261月26日92.787716.7
2021-01-271月27日134.852.6378.8
2021-01-281月28日-44.3330.3237.4
2021-01-291月29日67.965.6203.9
2021-02-012月1日-30.851.9150.7
2021-02-022月2日-60112.9314.3
2021-02-032月3日2.733172.5
2021-02-042月4日-42.171.6250.3
2021-02-052月5日19.285.9326.4
Rows × columns
14 × 5
Period covered
to
Computed
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_tape, derived from the stored result.
ColumnTypeRangeNotes
date date 2021-01-19 to 2021-02-05
day_label text 14 distinct values (1月19日, 1月20日, 1月21日…)
close_change_pct number -60 to 134.8 percent
high_low_range_pct number 14.2 to 330.3 percent
volume_millions number 134.7 to 789.5 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(d)        AS date,
    day_label,
    close_change_pct,
    high_low_range_pct,
    volume_millions
FROM
(
    SELECT
        date AS d,
        concat(toString(toMonth(date)), '月', toString(toDayOfMonth(date)), '日') AS day_label,
        round((toFloat64(close) / lagInFrame(toFloat64(close))
               OVER (ORDER BY date ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) - 1) * 100, 1) AS close_change_pct,
        round((toFloat64(high) / toFloat64(low) - 1) * 100, 1) AS high_low_range_pct,
        round(volume / 1e6, 1)                                 AS volume_millions
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'GME'
      AND date BETWEEN '2021-01-11' AND '2021-02-05'
)
WHERE d >= '2021-01-19'
ORDER BY d
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