SPY: touched versus finished above, 21-session forward windows since 2011
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 2026-08-27, from Probability of Touch vs Probability ITM.
| strike_distance | touch_pct | finish_above_pct | touch_to_finish_ratio | windows |
|---|---|---|---|---|
| 1% above spot | 83.8 | 56.7 | 1.48 | 3874 |
| 2% above spot | 66.6 | 44 | 1.52 | 3874 |
| 3% above spot | 48.5 | 31.1 | 1.56 | 3874 |
| 5% above spot | 19.6 | 12.3 | 1.6 | 3874 |
- Rows × columns
- 4 × 5
- 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 |
|---|---|---|---|
strike_distance |
text | 4 distinct values | |
touch_pct |
number | 19.6 to 83.8 | percent |
finish_above_pct |
number | 12.3 to 56.7 | percent |
touch_to_finish_ratio |
number | 1.48 to 1.6 | ratio or rate |
windows |
number | every row is 3,874 |
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
bars AS (
SELECT
date,
any(toFloat64(close)) AS c,
max(toFloat64(high)) AS h
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
AND date >= '2011-01-01'
AND date < '2026-07-01'
GROUP BY date
),
fwd AS (
SELECT
c AS spot,
max(h) OVER (ORDER BY date ROWS BETWEEN 1 FOLLOWING AND 21 FOLLOWING) AS fwd_max_high,
leadInFrame(c, 21) OVER (ORDER BY date ROWS BETWEEN CURRENT ROW AND 21 FOLLOWING) AS close_fwd_21
FROM bars
),
trials AS (
SELECT
arrayJoin([1, 2, 3, 5]) AS pct_away,
spot * (1 + pct_away / 100) AS level,
fwd_max_high >= level AS touched,
close_fwd_21 >= level AS finished_above
FROM fwd
WHERE close_fwd_21 > 0
)
SELECT
concat(toString(pct_away), '% above spot') AS strike_distance,
round(100 * avg(touched), 1) AS touch_pct,
round(100 * avg(finished_above), 1) AS finish_above_pct,
round(avg(touched) / avg(finished_above), 2) AS touch_to_finish_ratio,
count() AS windows
FROM trials
GROUP BY pct_away
ORDER BY pct_away
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.