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One deep-ITM LEAPS vs 100 shares: cost, leverage, and delta

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 2026-07-16, from Deep ITM LEAPS: Stock Replacement.

as of series 3×7read in context →
One deep-ITM LEAPS vs 100 shares: cost, leverage, and delta — 3 rows by 7 columns, computed from US exchange, SIP and OPRA data.
datespy_closeshares_costleaps_priceleaps_costleverage_xdelta
2025-07-01617.936179348.5485012.70.689
2025-10-09671.966719682.0382038.20.897
2025-12-01679.986799884.49844980.938
Rows × columns
3 × 7
Period covered
to
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 One deep-ITM LEAPS vs 100 shares: cost, leverage, and delta, derived from the stored result.
ColumnTypeRangeNotes
date date 2025-07-01 to 2025-12-01
spy_close number 617.93 to 679.98 US dollars
shares_cost number 61,793 to 67,998 count
leaps_price number 48.5 to 84.49 US dollars
leaps_cost number 4,850 to 8,449
leverage_x number 8 to 12.7
delta number 0.689 to 0.938

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 date,
       round(avg(underlying_close), 2) AS spy_close,
       round(avg(underlying_close) * 100, 0) AS shares_cost,
       round(avg(option_close), 2) AS leaps_price,
       round(avg(option_close) * 100, 0) AS leaps_cost,
       round(avg(underlying_close) / avg(option_close), 1) AS leverage_x,
       round(avg(delta), 3) AS delta
FROM global_markets.options_greeks
WHERE ticker = 'O:SPY260116C00600000' AND date IN ('2025-07-01', '2025-10-09', '2025-12-01') AND implied_volatility > 0.02
GROUP BY date ORDER BY date

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