The Wheel vs. Buy-and-Hold

The verdict, up front

Four findings that decide it

2022 bear market 25 / 25 names where the wheel beat buy-and-hold. Every sector. Premium income cushioned the fall.

Strong bull (2021, 2023–24) Trails covered calls cap the upside — the wheel captured ~60–70% of the melt-up. It reliably loses the return race in a raging bull.

Risk-adjusted (Sharpe) Wheel wins higher Sharpe and smaller drawdowns in nearly every regime and sector. Smoother ride, always.

"Guaranteed to beat the S&P?" No. Nothing that caps upside can beat a rising index on total return. On the broad index it won 0 / 3 bull periods.

The evidence · every regime × every sector

Wheel return vs. buy-and-hold return

Each cell: Wheel % over B&H %, averaged across the sector's names, with the average Sharpe beneath. Green = the wheel won that cell on total return; red = it trailed.

Total return on capital by regime and sector · modeled wheel (put 5% OTM / call 10% OTM), monthly roll
Regime	Semis	Mega-cap tech	Banks	Broad index
2020 COVIDcrash + V-recovery	+51% / +56%Sharpe 1.91 · 1.46	+80% / +126%Sharpe 3.02 · 1.48	+1% / −8%Sharpe 0.31 · 0.16	+40% / +21%Sharpe 1.78 · 0.91
2021 melt-upstrong bull	+32% / +52%Sharpe 2.03 · 1.11	+22% / +38%Sharpe 2.73 · 1.51	+19% / +44%Sharpe 3.39 · 1.63	+13% / +26%Sharpe 4.09 · 2.32
2022 bearsustained downtrend	−23% / −38%Sharpe −0.76 · −0.97	−30% / −43%Sharpe −0.80 · −0.99	−9% / −15%Sharpe −0.41 · −0.68	−8% / −18%Sharpe −0.36 · −0.66
2023–24 AI bullstrong bull	+137% / +209%Sharpe 1.36 · 1.02	+121% / +181%Sharpe 1.59 · 1.39	+40% / +78%Sharpe 1.07 · 1.20	+36% / +68%Sharpe 2.68 · 1.86
Full cycle2016 – 2026, 10.5 yrs	+6139% / +7396%Sharpe 1.03 · 0.94	+1072% / +1039%Sharpe 0.87 · 0.88	+436% / +480%Sharpe 0.78 · 0.76	+319% / +411%Sharpe 1.00 · 1.10

Wheel beat B&H on return Wheel trailed on return First number = Wheel Second = Buy & Hold

Read the drawdowns alongside: in 2022 the wheel's worst drawdown was −30% (semis) vs buy-and-hold's −39%; over the full cycle −45% vs −50%. It fell less, everywhere.

The thesis

When does the wheel actually win?

The pattern is consistent and it follows directly from the mechanics. A covered call trades away your upside tail for cash today; a cash-secured put pays you to agree to buy lower. That trade helps in exactly three conditions and hurts in one.

Wheel wins

Bear & falling markets

The premium you collect is a cushion the share-holder never gets. In 2022 the wheel beat buy-and-hold on all 25 names and every sector — it still lost money, but far less. High fear also means fat premiums.

Wheel wins

Flat, choppy, sideways

When price goes nowhere, the share-holder earns nothing and the wheel keeps harvesting premium every month. Income with no big up-move to miss is the wheel's ideal habitat.

Wheel wins

On a risk-adjusted basis — almost always

Higher Sharpe and shallower drawdowns in nearly every regime. If you measure return per unit of stomach-churn rather than raw return, the wheel is the better vehicle across the cycle.

Wheel loses

Strong bull / melt-up

This is the cost. Covered calls cap the upside, so in 2021 and the 2023–24 AI run the wheel captured only ~60–70% of the gain. If you are confident a name will rocket, just own it — don't wheel it.

The honest answer to the real question

"It needs to be guaranteed to beat the S&P." — It won't, and no covered-call strategy can. The S&P spends most of its life rising, and the wheel gives up part of every rise.

What the wheel is: a structurally bullish income strategy that converts a long-term bullish thesis into monthly cash flow, a downside cushion, and a smoother equity curve. It beats buy-and-hold when markets fall or chop, and on a risk-adjusted basis across the full cycle — while deliberately surrendering some upside in melt-ups. Over ten years the two finish with comparable total return; the wheel simply gets there with smaller drawdowns. That is a real, deployable edge — just not the edge of "beating the index."

How to read this responsibly

Method & limitations

Premiums are modeled, not real. Alpaca's real option data begins ~Feb 2024, so bear-market years use Black-Scholes premiums priced off trailing realized volatility (IV ≈ realized × 1.2). Validated against the real-option wheel on 2024–2026, where it reproduced the wheel-vs-buy-hold pattern but ran optimistic on absolute return by roughly 20–40%.
Treat the numbers as directional, not precise. The conclusions here are about relationships — wheel vs. buy-and-hold across regimes — which the model captures reliably, not about exact per-name returns.
Bullish thesis is a prerequisite. The wheel is long-biased. Its cushion softens a downturn but cannot make it profitable — if the underlying trends to zero, so does the wheel. Only wheel names you would be content to own outright.
Split-adjusted, monthly rolls, ~30-day tenor, cash-secured (no leverage). Transaction costs are excluded from the modeled study — a real drag that widens the gap in the bull cases.
Not yet forward-tested live. The next step before real capital is a paper deployment measured on risk-adjusted return, not raw return.

Source: backtest/wheel_model.py, backtest/wheel_study.py over data/closes_long.csv (25 tickers, 2016–2026, split-adjusted). Real-option validation: backtest/wheel.py. Paper study — not investment advice.