STRASMORE/EXPLORE 3,094 QUERIES

Credit, risk and breakeven win rate for nine SPY condor structures

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.

as of table 9×6read in context →
Credit, risk and breakeven win rate for nine SPY condor structures — 9 rows by 6 columns, computed from US exchange, SIP and OPRA data.
labelcredit_dollarsrisk_dollarsadvertised_win_rate_pctbreakeven_win_rate_pctcondor_count
$5 wide, 25 delta2.052.9550.259.1191
$5 wide, 16 delta1.193.8168.176.1189
$5 wide, 10 delta0.684.3280.186.4189
$10 wide, 25 delta3.66.450.164191
$10 wide, 16 delta2.057.9568.179.5182
$10 wide, 10 delta1.158.8580.188.5188
$20 wide, 25 delta5.6914.315071.5190
$20 wide, 16 delta3.1916.8168.184176
$20 wide, 10 delta1.7718.2380.191.2188
Rows × columns
9 × 6
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for Credit, risk and breakeven win rate for nine SPY condor structures, derived from the stored result.
ColumnTypeRangeNotes
label text 9 distinct values
credit_dollars number 0.68 to 5.69
risk_dollars number 2.95 to 18.23
advertised_win_rate_pct number 50 to 80.1 percent
breakeven_win_rate_pct number 59.1 to 91.2 percent
condor_count number 176 to 191 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 chain AS
(
    SELECT
        date,
        expiration_date,
        toFloat64(strike_price) AS strike,
        toFloat64(option_close) AS premium,
        delta,
        multiIf(abs(delta) BETWEEN 0.08 AND 0.12, '10 delta',
                abs(delta) BETWEEN 0.14 AND 0.18, '16 delta',
                abs(delta) BETWEEN 0.22 AND 0.28, '25 delta', '') AS short_bucket
    FROM global_markets.options_greeks
    WHERE underlying_symbol = 'SPY'
      AND date >= '2026-07-01'
      AND date <  '2026-10-01'
      AND iv_converged = 1
      AND volume > 0
      AND option_close > 0
      AND days_to_expiry BETWEEN 28 AND 45
),
wings AS
(
    SELECT date, expiration_date, strike, premium, delta, arrayJoin([5, 10, 20]) AS width
    FROM chain
),
put_wing AS
(
    SELECT
        s.date                     AS d,
        s.expiration_date          AS e,
        s.short_bucket             AS b,
        l.width                    AS w,
        avg(s.premium - l.premium) AS put_credit,
        avg(abs(s.delta))          AS put_delta
    FROM chain AS s
    INNER JOIN
    (
        SELECT date, expiration_date, strike + width AS paired_strike, premium, delta, width
        FROM wings
    ) AS l
        ON  s.date            = l.date
        AND s.expiration_date = l.expiration_date
        AND s.strike          = l.paired_strike
    WHERE s.delta < 0
      AND l.delta < 0
      AND s.short_bucket != ''
      AND s.premium > l.premium
      AND s.premium - l.premium < l.width
    GROUP BY d, e, b, w
),
call_wing AS
(
    SELECT
        s.date                     AS d,
        s.expiration_date          AS e,
        s.short_bucket             AS b,
        l.width                    AS w,
        avg(s.premium - l.premium) AS call_credit,
        avg(abs(s.delta))          AS call_delta
    FROM chain AS s
    INNER JOIN
    (
        SELECT date, expiration_date, strike - width AS paired_strike, premium, delta, width
        FROM wings
    ) AS l
        ON  s.date            = l.date
        AND s.expiration_date = l.expiration_date
        AND s.strike          = l.paired_strike
    WHERE s.delta > 0
      AND l.delta > 0
      AND s.short_bucket != ''
      AND s.premium > l.premium
      AND s.premium - l.premium < l.width
    GROUP BY d, e, b, w
)
SELECT
    concat('$', toString(p.w), ' wide, ', p.b)                       AS label,
    round(avg(p.put_credit + c.call_credit), 2)                      AS credit_dollars,
    round(avg(p.w - (p.put_credit + c.call_credit)), 2)              AS risk_dollars,
    round(100 - 100 * avg(p.put_delta + c.call_delta), 1)            AS advertised_win_rate_pct,
    round(100 * avg((p.w - (p.put_credit + c.call_credit)) / p.w), 1) AS breakeven_win_rate_pct,
    count()                                                          AS condor_count
FROM put_wing AS p
INNER JOIN call_wing AS c
    ON p.d = c.d AND p.e = c.e AND p.b = c.b AND p.w = c.w
GROUP BY p.w, p.b
ORDER BY p.w ASC, advertised_win_rate_pct ASC
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More from this analysisIron Condor Win Rate and Expectancy
Advertised iron condor win rate by short delta band (SPY) table 5×5 → Short strikes touched versus short strikes finishing in the money series 5×5 → Premium per dollar of spot at the same 16 delta, five underlyings ranking 5×4 → Delta band versus the share of contracts that finished in the money, 30 days out table 9×5 → Yes and No probabilities across one SPY chain: call side, put side, and the pair total table 8×5 → Implied versus realized in the money share by the contract's own implied volatility table 7×5 → See all 3,094 queries →