Root sum of squared daily moves versus the net move, SPY by month
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 Why the Greeks Don't Add Up to Your P&L.
| month | month_label | path_move_pct | net_move_pct |
|---|---|---|---|
| 2025-07 | Jul 2025 | 1.96 | 2.3 |
| 2025-08 | Aug 2025 | 3.4 | 2.09 |
| 2025-09 | Sep 2025 | 2.12 | 3.25 |
| 2025-10 | Oct 2025 | 4.08 | 2.44 |
| 2025-11 | Nov 2025 | 4.1 | 0.28 |
| 2025-12 | Dec 2025 | 2.41 | 0.19 |
| 2026-01 | Jan 2026 | 2.84 | 1.5 |
| 2026-02 | Feb 2026 | 3.58 | 0.8 |
| 2026-03 | Mar 2026 | 5.38 | 5.19 |
| 2026-04 | Apr 2026 | 3.96 | 10.07 |
| 2026-05 | May 2026 | 2.92 | 5.17 |
| 2026-06 | Jun 2026 | 4.99 | 1.17 |
- Rows × columns
- 12 × 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 |
|---|---|---|---|
month |
text | 12 distinct values (2025-07, 2025-08, 2025-09…) | |
month_label |
text | 12 distinct values (Apr 2026, Aug 2025, Dec 2025…) | |
path_move_pct |
number | 1.96 to 5.38 | percent |
net_move_pct |
number | 0.19 to 10.07 | 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
daily AS
(
SELECT
date,
toFloat64(any(close)) AS close_px
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
AND date >= '2025-06-20'
AND date < '2026-07-01'
GROUP BY date
),
seq AS
(
SELECT *, row_number() OVER (ORDER BY date) AS n
FROM daily
),
steps AS
(
SELECT
toStartOfMonth(b.date) AS m,
b.close_px / a.close_px - 1 AS ret
FROM seq AS a
INNER JOIN seq AS b ON b.n = a.n + 1
WHERE b.date >= '2025-07-01'
)
SELECT
formatDateTime(m, '%Y-%m') AS month,
formatDateTime(m, '%b %Y') AS month_label,
round(100 * sqrt(sum(pow(ret, 2))), 2) AS path_move_pct,
round(100 * abs(sum(ret)), 2) AS net_move_pct
FROM steps
GROUP BY m
ORDER BY m
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