STRASMORE/EXPLORE 3,256 QUERIES

Absolute close-to-close move, 2021 to 2025

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 2026-09-19, from Can You Make $1,000 a Day Day Trading?.

as of table 4×5read in context →
Absolute close-to-close move, 2021 to 2025 — 4 rows by 5 columns, computed from US exchange, SIP and OPRA data.
tickermedian_move_pctp75_move_pctp90_move_pctshare_move_over_4_pct
SPY0.571.071.650.6
QQQ0.771.472.311.3
NVDA1.883.395.1418
TSLA2.083.936.0524.4
Rows × columns
4 × 5
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 Absolute close-to-close move, 2021 to 2025, derived from the stored result.
ColumnTypeRangeNotes
ticker text 4 distinct values (NVDA, QQQ, SPY…)
median_move_pct number 0.57 to 2.08 percent
p75_move_pct number 1.07 to 3.93 percent
p90_move_pct number 1.65 to 6.05 percent
share_move_over_4_pct number 0.6 to 24.4 percent

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
    bars AS
    (
        SELECT
            ticker,
            date,
            toFloat64(argMax(close, _ingest_time)) AS close_px
        FROM global_markets.stocks_daily_aggs
        WHERE ticker IN ('SPY', 'QQQ', 'NVDA', 'TSLA')
          AND date >= '2020-12-01'
          AND date <  '2026-01-01'
        GROUP BY ticker, date
    ),
    moves AS
    (
        SELECT
            ticker,
            date,
            close_px,
            lagInFrame(close_px, 1) OVER (PARTITION BY ticker ORDER BY date ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS prev_close_px
        FROM bars
    )
SELECT
    ticker,
    round(quantileExact(0.5)(abs_move_pct), 2)           AS median_move_pct,
    round(quantileExact(0.75)(abs_move_pct), 2)          AS p75_move_pct,
    round(quantileExact(0.9)(abs_move_pct), 2)           AS p90_move_pct,
    round(countIf(abs_move_pct >= 4) / count() * 100, 1) AS share_move_over_4_pct
FROM
(
    SELECT
        ticker,
        date,
        abs(close_px / prev_close_px - 1) * 100 AS abs_move_pct
    FROM moves
    WHERE prev_close_px > 0
      AND date >= '2021-01-01'
      AND (toString(ticker), toDate(date)) NOT IN
      (
          SELECT toString(ticker), toDate(execution_date)
          FROM global_markets.stocks_splits
      )
)
GROUP BY ticker
ORDER BY indexOf(['SPY', 'QQQ', 'NVDA', 'TSLA'], ticker)
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