Total daily movement versus net movement, 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 2026-08-16, from How Delta Hedging Actually Works.
| ticker | path_length_pct | net_move_pct | path_to_net_ratio |
|---|---|---|---|
| MSFT | 43.2 | 19 | 2.3 |
| AAPL | 33.7 | 5.5 | 6.1 |
| KO | 23.3 | 3.3 | 7 |
| SPY | 17.6 | 1.6 | 11.4 |
- Rows × columns
- 4 × 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 | 4 distinct values (AAPL, KO, MSFT…) | |
path_length_pct |
number | 17.6 to 43.2 | percent |
net_move_pct |
number | 1.6 to 19 | percent |
path_to_net_ratio |
number | 2.3 to 11.4 | ratio or rate |
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
SELECT
ticker,
round(path, 1) AS path_length_pct,
round(net, 1) AS net_move_pct,
round(path / greatest(net, 0.05), 1) AS path_to_net_ratio
FROM
(
SELECT
ticker,
arraySum(arrayMap((a, b) -> abs(a / b - 1) * 100,
arraySlice(px, 2),
arraySlice(px, 1, length(px) - 1))) AS path,
abs(px[-1] / px[1] - 1) * 100 AS net
FROM
(
SELECT
ticker,
arrayMap(t -> t.2, arraySort(t -> t.1, groupArray((session_date, session_close)))) AS px
FROM
(
SELECT
ticker,
date AS session_date,
toFloat64(max(close)) AS session_close
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('SPY', 'AAPL', 'MSFT', 'KO')
AND date >= '2026-06-01'
AND date < '2026-07-01'
GROUP BY ticker, date
)
GROUP BY ticker
)
)
ORDER BY path_to_net_ratio
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