LEAPS Pro

Read Me First — LEAPS Pro

LEAPS Pro studies long-dated calls as a partial stock substitute. The core question is whether capital efficiency remains attractive after paying option time value, experiencing volatility changes, rolling the long option, and accounting for what happens to the cash that is not used to buy shares.

Start with the research question: Can a deep-in-the-money long call provide a useful stock substitute after financing cost, time decay, volatility exposure, and roll mechanics are included?

What this lab is designed to do

Key controls and inputs

Long-call target delta. Higher delta behaves more like stock but usually requires more capital. Lower delta increases leverage and convexity but also increases dependence on option pricing.
Long maturity / DTE. More time reduces near-term theta pressure but increases the amount of time value purchased.
Roll threshold. Rolling before expiration can maintain desired exposure but realizes bid/ask costs and resets time value.
IV premium over realized volatility. Long options are hurt when implied volatility is persistently expensive relative to realized movement.
Cash yield. Unused capital is part of the economics. Compare the LEAPS position plus cash with stock, not the option alone.
Market scenario. Test persistent bull, flat/choppy, bear, and volatility-shock environments because each stresses a different part of the structure.

What the outputs mean

Total portfolio return. Long-call value plus cash should be compared with the chosen stock benchmark.
Delta / effective exposure. A LEAPS position can begin stock-like and become less so as price and volatility change.
Roll cost. Frequent rolls can consume the capital-efficiency advantage.
Drawdown. Option leverage can create sharp percentage losses even when dollar capital at risk is smaller.
Cash contribution. In higher-rate environments, yield on unused cash can materially affect the comparison.

A good first experiment

Start with a high-delta long call such as the lab’s default stock-substitute setting.
Use a long maturity and leave the remaining capital in the modeled cash account.
Run the same market path for the LEAPS-plus-cash position and the stock benchmark.
Repeat at lower and higher target deltas while holding everything else fixed.
Increase the IV premium assumption to see how expensive option pricing affects the long-call strategy.
Finally, vary the roll threshold and examine whether maintaining the exposure requires enough turnover to erase the apparent benefit.

How to interpret the result

Do not judge the strategy from one path, one seed, or one favorable market environment. Read return, drawdown, exposure, trade frequency, and benchmark-relative performance together. A result is more credible when it persists across reasonable parameter changes and when the comparison benchmark has similar economic exposure.

Important assumptions and limitations

LEAPS prices depend on the model’s volatility, rates, dividends, and option-pricing assumptions.
A long call can lose value even when the underlying rises if the move is too small relative to time decay and volatility changes.
Deep-in-the-money options may have wider real-world spreads than a frictionless model implies.
Cash management is integral to the comparison; ignoring the unused capital can make the strategy look misleadingly good or bad.
Historical behavior of one long option is not enough to establish robustness across volatility regimes.

How this lab prices a long-dated option

Measured against real SPY option prices on 2026-08-25, and worth knowing before reading any LEAPS result as a market quote.

Long-dated prices follow the market scenario, not the volatility level you set. Each scenario carries its own long-run volatility — roughly 14% in calm, 23% in normal, 34% in choppy. Near-dated prices track the current volatility you choose; as expiration lengthens, the scenario’s long-run level takes over. Given a 30-day at-the-money volatility of 12.8% — SPY’s actual level on 2026-08-25 — the default normal scenario returns about 20% at three months and 23% at one year, against roughly 15% and 18% in the market that day.

In dollars, for a one-year call with the underlying at 100: at the money this lab charges about 21% more than the market did that day, and 10% out of the money about 34% more. A deep-in-the-money call — the usual stock-substitute leg — comes within about 2%, because it is mostly intrinsic value. So a long option generally looks worse here than it would have at that day’s prices, and better in calm.

Read LEAPS results as comparisons — delta against delta, scenario against scenario, strategy against its benchmark on the same path — rather than as a quote for what an option would cost today.

How this complements backtesting

Backtests are valuable for seeing how LEAPS would have behaved across actual bull markets, crashes, and volatility events when historical option data are available. Simulation is particularly useful for stress-testing volatility-risk-premium assumptions and long-horizon paths that are sparse in the historical record.

Research use only. These labs are tools for controlled simulation and model-based research. They do not forecast the market, guarantee future performance, or provide individualized investment advice.