OptionIncomeTools runs three priority studies on options-income strategies. Each study has a public dataset schema, a live observation count, and a downloadable CSV. We do not publish return claims until enough observations exist to compute a defensible result with documented dispersion and confidence intervals.
Why this matters: options-income content on the open web is dominated by cherry-picked examples and unsupported "I made 20% annualized" claims. We refuse to publish that kind of marketing-disguised-as-research. When we publish findings, every observation will be traceable to a row in a public CSV.
Measures the gap between annualized screen yield (the comparison metric we display in the screener) and realized return over a full cycle. Tracks individual contracts from screen-time to exit, with explicit slippage and commission assumptions.
Calibrates the early-assignment incentive heuristic against actual assignment events on dividend-paying stocks. Tracks model predictions, false positives, and false negatives across ex-dividend windows.
Programmatically generated without a supporting dataset. Retracted 2026-06-23. The transparent-wheel-benchmark study above is being built as the proper replacement. See corrections log.
Publication standards
A research report is published on OptionIncomeTools only when it includes all of the following (per the editorial policy):
Limitations · Version history · Stable canonical URL
Author · Reviewer · Suggested citation
Observation count · Dispersion or confidence intervals
If a report claims a return number without supporting evidence at this standard, it gets withdrawn and recorded in corrections. The previous SPY wheel backtest is the first example.