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.
| ticker | worst_5_session_pct | deepest_drawdown_pct | pct_days_10pct_below_high |
|---|---|---|---|
| MSFT | -14.41 | -34.99 | 59 |
| TSLA | -10.27 | -29.92 | 49 |
| NVDA | -10.67 | -20.28 | 34.3 |
| AAPL | -8 | -13.87 | 11.6 |
| JNJ | -5.83 | -10.91 | 2.4 |
| SPY | -3.81 | -9.13 | 0 |
| KO | -5.52 | -8.49 | 0 |
- Rows × columns
- 7 × 4
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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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