Short strikes touched versus short strikes finishing in the money
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 2026-10-05, from Iron Condor Win Rate and Expectancy.
| month | touched_strike_pct | finished_itm_pct | touch_to_itm_ratio | tracked_count |
|---|---|---|---|---|
| 2026-02 | 25 | 14.3 | 1.75 | 56 |
| 2026-03 | 40.3 | 30.6 | 1.32 | 62 |
| 2026-04 | 50 | 48.1 | 1.04 | 52 |
| 2026-05 | 20.7 | 1.7 | 12 | 58 |
| 2026-07 | 37.1 | 12.9 | 2.88 | 62 |
- Rows × columns
- 5 × 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 |
|---|---|---|---|
month |
text | 5 distinct values (2026-02, 2026-03, 2026-04…) | |
touched_strike_pct |
number | 20.7 to 50 | percent |
finished_itm_pct |
number | 1.7 to 48.1 | percent |
touch_to_itm_ratio |
number | 1.04 to 12 | ratio or rate |
tracked_count |
number | 52 to 62 | count |
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 shorts AS
(
SELECT
date AS entry_date,
expiration_date AS expiry,
if(delta < 0, 'put', 'call') AS side,
argMin(toFloat64(strike_price), abs(abs(delta) - 0.16)) AS short_strike
FROM global_markets.options_greeks
WHERE underlying_symbol = 'SPY'
AND date >= '2026-01-02'
AND date < '2026-08-01'
AND iv_converged = 1
AND volume > 100
AND days_to_expiry BETWEEN 28 AND 35
AND abs(delta) BETWEEN 0.13 AND 0.19
GROUP BY entry_date, expiry, side
),
tape AS
(
SELECT
date,
toFloat64(high) AS high,
toFloat64(low) AS low,
toFloat64(close) AS close
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
AND date >= '2026-01-02'
AND date <= '2026-09-30'
),
outcomes AS
(
SELECT
s.entry_date AS entry_date,
s.expiry AS expiry,
s.side AS side,
s.short_strike AS short_strike,
max(t.high) AS path_high,
min(t.low) AS path_low,
argMax(t.close, t.date) AS final_close
FROM shorts AS s
CROSS JOIN tape AS t
WHERE t.date > s.entry_date
AND t.date <= s.expiry
GROUP BY entry_date, expiry, side, short_strike
)
SELECT
formatDateTime(toStartOfMonth(entry_date), '%Y-%m') AS month,
round(100 * avg(if(side = 'put', path_low <= short_strike,
path_high >= short_strike)), 1) AS touched_strike_pct,
round(100 * avg(if(side = 'put', final_close < short_strike,
final_close > short_strike)), 1) AS finished_itm_pct,
round(avg(if(side = 'put', path_low <= short_strike, path_high >= short_strike))
/ avg(if(side = 'put', final_close < short_strike, final_close > short_strike)), 2)
AS touch_to_itm_ratio,
count() AS tracked_count
FROM outcomes
GROUP BY month
HAVING countIf(if(side = 'put', final_close < short_strike, final_close > short_strike)) > 0
ORDER BY month
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