Iron Condor Win Rate and Expectancy
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How July 10's same-day SPY contracts finished: expired at zero vs. settled with valueranking ·
2026-07-31 · 2×4
SPY intraday travel: close, high and low against the open, June 1 to July 10, 2026series ·
2026-07-31 · 28×5
Short strikes touched versus short strikes finishing in the money
Short strikes touched versus short strikes finishing in the money
| 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 |
the exact SQL behind every number
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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