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Worst five-session stretch and deepest in-window drawdown, July 2025 to June 2026

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 2026-08-15, from The 3-5-7 Rule in Options, Examined.

as of ranking 7×4read in context →
Worst five-session stretch and deepest in-window drawdown, July 2025 to June 2026 — 7 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerworst_5_session_pctdeepest_drawdown_pctpct_days_10pct_below_high
MSFT-14.41-34.9959
TSLA-10.27-29.9249
NVDA-10.67-20.2834.3
AAPL-8-13.8711.6
JNJ-5.83-10.912.4
SPY-3.81-9.130
KO-5.52-8.490
Rows × columns
7 × 4
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 Worst five-session stretch and deepest in-window drawdown, July 2025 to June 2026, derived from the stored result.
ColumnTypeRangeNotes
ticker text 7 distinct values (AAPL, JNJ, KO…)
worst_5_session_pct number -14.41 to -3.81 percent
deepest_drawdown_pct number -34.99 to -8.49 percent
pct_days_10pct_below_high number 0 to 59 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.

the exact SQL behind every number
WITH daily AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           toFloat64(argMax(close, window_start)) AS px
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'KO', 'JNJ', 'AAPL', 'MSFT', 'NVDA', 'TSLA')
      AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2025-07-01')
      AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2026-06-30')
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY ticker, d
),
win AS (
    SELECT ticker, d, px,
           any(px) OVER (PARTITION BY ticker ORDER BY d
                         ROWS BETWEEN 5 PRECEDING AND 5 PRECEDING) AS px_5_ago,
           max(px) OVER (PARTITION BY ticker ORDER BY d
                         ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS running_high
    FROM daily
)
SELECT ticker,
       round(min(100 * (px / px_5_ago - 1)), 2) AS worst_5_session_pct,
       round(min(100 * (px / running_high - 1)), 2) AS deepest_drawdown_pct,
       round(100 * countIf(px / running_high - 1 <= -0.1) / count(), 1) AS pct_days_10pct_below_high
FROM win
WHERE isFinite(px_5_ago)
GROUP BY ticker
ORDER BY deepest_drawdown_pct

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