How to beat buy and hold — and how to know whether you actually did

By John, builder of Wise Apple · Updated August 27, 2026

You built the strategy, you ran the backtest, and the equity curve climbs. Then you plot the instrument itself over the same window, and the plain line — no rules, no trades, no work — ends higher. It is the most common ending in strategy research, and almost nobody plans for it.

A recurring confession on r/algotrading is that, after months of building, the best-performing algorithm turned out to be buying the instrument and leaving it alone. This is not a personal failure. It is the base rate. S&P Dow Jones Indices' SPIVA scorecards have reported for years that most professional active managers trail their benchmark over long horizons, and they have research staff and execution desks. A retail strategy on daily bars starts further back.

So the benchmark is the first thing a report should show and the last thing most people look at. This guide sets out what "beating" buy and hold has to mean before it means anything, the four legitimate ways a strategy can clear it, the three ways a backtest fakes it, and how to compute the benchmark so you are comparing like with like.

What "beat" has to mean

"My strategy returned more than the index" is not a claim yet. It becomes one when five conditions are attached, and a backtest that skips any of them is comparing two different things.

1. Same instrument. A strategy on a leveraged ETF or a small-cap basket is not being compared to the S&P 500; it is being compared to holding whatever it actually traded.
2. Same window. Same first bar, same last bar. Starting the strategy in March 2009 and the benchmark in January 2008 is the oldest trick in the brochure.
3. After costs. Buy and hold pays one spread and, at most, a handful of fees over a decade. A strategy pays on every trade. The comparison is after the strategy's costs, not before.
4. Risk-adjusted. Return per unit of drawdown, or per unit of volatility, not raw return. A strategy that made 20% more with three times the drawdown did not beat anything; it borrowed.
5. Out of sample. A benchmark comparison inside the window the parameters were fitted on tells you how well the fitting worked. The comparison that counts is on data the optimiser never saw — see out-of-sample validation.

There is a sixth condition in taxable accounts that no backtest shows: turnover has a tax cost, and buy and hold defers it. This is not tax advice, only a reminder that the gap a strategy must clear is wider than the report says.

The four honest ways to clear the benchmark

A strategy that legitimately beats holding does it in one of four ways, and each one is a different claim with a different thing to check.

1. Similar return, much less drawdown

The most common real edge. The strategy roughly matches the instrument in return but sits out the worst of the declines, so the path is calmer and the maximum drawdown is a fraction of the instrument's. This is what "outperformed the index with a third of the drawdown" means, and it is a real result — provided the sidestepped decline is in the out-of-sample period. A stop rule that would have dodged one crash, fitted on data that contained that crash, is overfitting wearing a risk-management badge.

2. Similar return, far less time in market

If the strategy is invested a third of the time and matches buy and hold's return, it earned the same money with a third of the exposure. That is a genuine improvement, and it compounds: the idle capital can sit in cash earning a yield, or fund a second, uncorrelated strategy. The check is that the time-in-market figure is honest — a strategy that is flat during the boring stretches and fully invested during the volatile ones has less time in market but not less risk.

3. Exposure buy and hold cannot have

Holding is long-only and always-in. A strategy can be short, can be in cash for a year, can be in a crypto pair that no index holds. If it made money in a period when the instrument fell, it did something holding cannot do by construction. The check is the cost side: shorts carry borrow and financing costs, and a backtest that charges none of them has invented the edge.

4. More return, with the bigger drawdown said out loud

Sometimes a strategy simply returns more and draws down more, and the ratio still favours it. That is allowed. What is not allowed is reporting the return and leaving the drawdown for the reader to discover. State both. Then ask whether you would have held through the drawdown — most people who say yes to a 40% drawdown on paper have never sat through one.

The three ways a backtest fakes it

When a strategy appears to beat holding and later does not, the explanation is usually one of three, in this order of frequency.

• Period selection. The window starts after a crash or ends before one. Move the start date by a year in each direction and see whether the verdict survives. A real edge does not depend on the calendar.
• Leakage. The strategy saw the future somewhere — a fill on the signal bar, a repainting indicator, a scaler fitted on the whole series. Leakage inflates results rather than degrading them, which is exactly the fingerprint of a strategy that "beats" holding by an implausible margin. The data leakage guide lists the six routes.
• Costs left out. A strategy trading weekly on daily bars makes hundreds of round trips over a decade. Charge each one a realistic spread and slippage and watch the gap to buy and hold close. If the edge vanishes at 1.5× the assumed costs, the edge was the cost model.

Computing the benchmark properly

The benchmark is easy to compute badly. Four details decide whether the comparison is fair.

1. Same first and last bar as the strategy's test window. Not the whole dataset; the out-of-sample stretch.
2. Adjusted prices for stocks and ETFs. Dividends are part of holding's return. A benchmark on unadjusted prices understates it by the yield, every year, and flatters the strategy. The data guide covers adjustments.
3. Cash yield on the idle capital. When the strategy is flat, its capital is earning something. Credit it, or the strategy's time-in-market advantage is understated. When the yield is near zero this barely matters; when it is not, it does.
4. The instrument's own drawdown. Buy and hold is not risk-free — the S&P 500 roughly halved twice this century, and Bitcoin has lost more than three quarters of its value more than once. Plot the benchmark's drawdown beside the strategy's. Beating a benchmark that itself fell 50% is a lower bar than it sounds.

In crypto the benchmark has a name — HODL — and the same rules apply. A strategy on a coin that went up twenty-fold is competing with a twenty-fold return. Plenty of active crypto strategies made money and still lost to holding.

A reading template

Put the two columns side by side before you look at anything else. The numbers below are the fields to fill, not results — the point is the shape of the comparison.

The trade-count row is there because a strategy with 40 trades has error bars that make any comparison provisional. The sample-size guide puts numbers on how provisional.

The strategy that loses in bull years and still wins

A trend or regime strategy will typically lag buy and hold in a strong bull year. It is in cash for a stretch, or it exits on a pullback that turns out to be nothing. Then a real decline arrives, it steps aside, and over the full cycle it ends ahead with a fraction of the drawdown. Year by year, it looks like it is losing most of the time. Over the cycle, it is the better strategy.

Saying this honestly means reporting both: the years it lagged, by how much, and the drawdown it avoided. It also means admitting that a strategy which has only ever been tested inside a bull market has not yet earned the claim — its one job is to handle the decline, and it has not met one. The regime guide is about what happens when the market it was built in ends.

Leverage is not beating the benchmark

Two-times leveraged buy and hold returns roughly twice the index in a rising year and loses roughly twice in a falling one, with a drag from daily rebalancing on top. If your strategy's outperformance disappears when the benchmark is levered to the same volatility, the strategy did not find an edge; it found a multiplier. Compare at equal risk, or compare the ratios. The position-sizing guide covers volatility scaling, which is the tool for putting two things on the same risk footing.

What to do when holding wins

If the honest comparison says buy and hold wins, you have learned something valuable cheaply: the strategy's rules add nothing on this instrument in this period. The options are to change the instrument (an edge in a ranging crypto pair may be real where an edge in a trending index is not), change the claim (aim for lower drawdown rather than higher return), or keep the benchmark. Keeping the benchmark is a legitimate result and an underrated one. The report-reading guide puts the benchmark at step five for exactly this reason: it is the number that tells you whether the other numbers earned their keep.

How this looks in Wise Apple

Every Wise Apple report shows the HODL benchmark beside the strategy on the same out-of-sample window — same first bar, same last bar — with the drawdown of each next to it, so the comparison on this page is the default view rather than something you have to assemble. Costs are charged to the strategy through the Fees, Slippage and Market Impact models before the comparison is drawn, and the candle-by-candle journal shows when the strategy was flat and what it missed while it was. It tests one instrument at a time and places no trades.