Skyline is a research series used to study payoff shape, Capital at Risk, market movement, and lifecycle behavior under defined assumptions.
The objective is to examine how payoff geometry, Capital at Risk, historical behavior, and lifecycle assumptions interact across a range of market outcomes. Skyline studies are presented as educational research and historical or illustrative analysis, not as recommendations or individualized investment guidance.
A concise walkthrough of the payoff-design rationale, HTE research assumption, and saved backtest configurations used to document V1.0 as a reproducible research baseline.
Start with the published Skyline backtest, then compare its historical behavior with a 25-point iron condor and a longer-duration 14DTE study. Each study retains its own assumptions, test window, methodology, and limitations.
The primary public reference for the original saved test, higher-cost sensitivity, and starting-capital sensitivity.
Hypothetical historical research. Results depend on assumptions and do not predict future performance.
Review the public backtest →A matched SPX 0DTE study comparing two Skyline lots with one iron condor on an approximately CAR-aligned basis.
Approximately CAR-aligned, not perfectly equal-CAR. Historical modeled comparison only.
Explore the 0DTE comparison →A longer-duration comparison focused on modeled net P/L, time in market, and estimated portfolio-level CAR across overlapping positions.
Historical modeled research; not actual account performance or a recommendation.
Explore the 14DTE study →The Framework connects payoff shape, CAR, holding assumptions, market movement, adjustment criteria, and review so Skyline can be evaluated as a documented research process.
Compare payoff behavior and modeled risk on a consistent capital basis.
Document entry context, monitoring assumptions, HTE assumptions, adjustment criteria, and exits for analysis.
Study whether clearer payoff zones and predefined risk boundaries reduce ambiguity as market conditions change. This is a research hypothesis, not a promise about investor behavior.
The OS connects structure analysis, CAR analysis, monitoring, adjustment evaluation, replay, and review. It is presented here as a research and analytical workflow, not as a broker replacement, signal service, or source of personalized recommendations.
Build and compare structures, payoff zones, historical tests, and scenario assumptions.
Compare modeled assumptions with observed fills, timing, liquidity, and changing risk locations.
Study outcomes against the original research thesis and document what changed.
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