Transparent wheel benchmark

Open for collection

A reproducible, versioned wheel-strategy backtest. Multiple rule sets (target delta 0.20/0.25/0.30, DTE 30–45, several profit-taking policies) are run on SPY, QQQ, and a fixed 30-name large-cap universe. Each cycle is recorded as one observation; cycles are grouped into runs. Total return on the underlying over the same period is captured for benchmarking.

Status: Open for data collection. No published findings yet. We will publish results only when the observation count is sufficient and the dispersion / confidence intervals can be computed honestly.

Methodology

Each run is parametrized by (target delta, DTE window, profit-taking policy, universe, commission, slippage). A backtest engine iterates daily and opens the closest-matching strike when no position is open. Cycles end at expiry, early close, or assignment. Assigned shares trigger CC cycles. Dividends received during share-ownership are captured. The full per-cycle observation set is exportable as CSV and is used to compute headline statistics (CAGR, Sharpe, max drawdown, win rate) only when the observation count is sufficient.

Dataset schema

The observation schema is published as a versioned JSON Schema: transparent-wheel-benchmark.json. Every observation contains the fields listed there. The schema is governed by the methodology version and bumped semver-style when materially changed.

Public exports

The complete observation dataset is exportable at any time:

How to contribute

The observation ingest endpoint is gated by a server-held bearer token (held by the editorial team). External contributors can email [email protected] with proposed observations (matching the schema) and we will review and ingest. We do not accept self-reported results without source data.

Version history

Suggested citation (once published)

Dedhia, A. (Transparent wheel benchmark). OptionIncomeTools Research. Retrieved from https://optionincometools.com/research/transparent-wheel-benchmark/

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