A 10% trail ratcheting under AAPL's high-water close, January to mid-March 2022

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
        date,
        toFloat64(any(close)) AS close_px
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'AAPL'
      AND date >= '2022-01-03'
      AND date <  '2022-03-16'
    GROUP BY date
),
marked AS
(
    SELECT
        date,
        close_px,
        max(close_px) OVER (ORDER BY date ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS peak_close
    FROM daily
)
SELECT
    toString(date)                    AS session_date,
    formatDateTime(date, '%b %e, %Y') AS calendar_label,
    round(close_px, 2)                AS close_px,
    round(peak_close, 2)              AS high_water_close,
    round(peak_close * 0.9, 2)        AS trail_10pct_level
FROM marked
ORDER BY date ASC