← Options Research Lab Pro
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

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.

Key controls and inputs

What the outputs mean

A good first experiment

  1. Start with a high-delta long call such as the lab’s default stock-substitute setting.
  2. Use a long maturity and leave the remaining capital in the modeled cash account.
  3. Run the same market path for the LEAPS-plus-cash position and the stock benchmark.
  4. Repeat at lower and higher target deltas while holding everything else fixed.
  5. Increase the IV premium assumption to see how expensive option pricing affects the long-call strategy.
  6. 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

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.