STRASMORE/EXPLORE 3,256 QUERIES

move_profile

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 2026-10-09, from what-is-earnings-season.

as of ranking 10×3read in context →
move_profile — 10 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickermedian_move_pctmax_move_pct
TSLA2.1722.69
AAPL0.7215.33
NFLX1.0913.77
WFC1.0413.11
GS1.0813.1
AMZN1.211.98
MS111.61
JPM0.8311.54
BAC0.7811.06
MSFT0.7810.13
Rows × columns
10 × 3
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 move_profile, derived from the stored result.
ColumnTypeRangeNotes
ticker text 10 distinct values (AAPL, AMZN, BAC…)
median_move_pct number 0.72 to 2.17 percent
max_move_pct number 10.13 to 22.69 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 moves AS
(
    SELECT
        ticker,
        date,
        abs(toFloat64(close)
            / lagInFrame(toFloat64(close)) OVER (PARTITION BY ticker ORDER BY date) - 1) * 100 AS move_pct
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('JPM', 'WFC', 'BAC', 'GS', 'MS', 'NFLX', 'TSLA', 'MSFT', 'AAPL', 'AMZN')
      AND date >= '2024-07-01'
      AND date <  '2026-07-01'
)
SELECT
    ticker,
    round(quantileDeterministic(0.5)(move_pct, toUInt32(toYYYYMMDD(date))), 2) AS median_move_pct,
    round(max(move_pct), 2)                                                    AS max_move_pct
FROM moves
WHERE isFinite(move_pct)
GROUP BY ticker
ORDER BY max_move_pct DESC
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