Stratsemble
Preparation · Stage 2 of 5 — Test
LIN · LindeStocks

Does the Moving Average Crossover strategy beat buy & hold on Linde? (LIN · backtested honestly)

A rule that compares a fast moving average of price with a slow one and reads an up-trend while the fast average sits above the slow.

Lagged buy & hold2021-10-07 → 2026-10-06 · 1,254 barsCosts & slippage onvs Buy & HoldHypothetical · not advice
Total return
+6.8%
Buy & hold +75.2%
vs Buy & Hold
-68.4 pts
lagged the benchmark
Max drawdown
-29.5%
Sharpe 0.16 · 4 trades
The honest read

Over this period, Moving Average Crossover on Linde returned +6.8%, while simply buying and holding returned +75.2% — it lagged buy & hold by 68.4 points, with a worst drawdown of -29.5%. It traded 4 times and sat in cash about 37% of the time. It's a mechanism you test — not a recommendation.

What this settles — and the next dig

It lagged buy & hold over this window — that's a result, and a backtest you can kill for free just did its job. Re-tuning this same idea until it looks better only adds another shot at looking good by luck, so the honest next move is a fresh one: test a different strategy on Linde, or build your own — free. Most ideas die cheaply right here, and that's exactly how the rare one that holds up gets found.

Or stop here — walking away from an idea that didn't beat simply holding is a result, not a failure.

Interactive

Run it yourself

Change the parameters and the window, then re-run — no account needed.

Change the rules? Open the Moving Average Crossover rules on Linde in the no-code builder — the same rules tested here — and make them your own.

Open in the builder →
Worked example

Two real trades from this backtest

Shown at the modeled fills — entries at the next open, protective stops and targets at their level; costs on. A single trade is never a signal and says nothing about the next one — not the best or worst, a middling winner and a middling loser among the completed trades.

4 trades total — 1 winners, 3 losers (25% won). Below is one of each, not a scoreboard.

  1. Entry. A long entry fired; filled at the next open on 2026-03-04 at $502.21 — never the signal bar's own close.
  2. Held. 143 daily bars.
  3. Exit. Exited on 2026-09-28 at $467.38 (the exit rule fired (filled at the next open)).
  4. Result. -7.04% after costs.

The worst single trade in this whole test reached -9.94%.

  1. Entry. A long entry fired; filled at the next open on 2022-12-05 at $335.17 — never the signal bar's own close.
  2. Held. 521 daily bars.
  3. Exit. Exited on 2025-01-02 at $420.75 (the exit rule fired (filled at the next open)).
  4. Result. +25.43% after costs.

Trading costs + slippage (0.10%) are already deducted from every figure above. One trade is never the edge — it's the whole distribution (the win rate, the losers, the reality-check) that matters; this just makes the mechanics concrete. It describes the past; it is not a prediction.

Put this honest verdict on your site

A live badge that re-runs itself and links back here. Free to embed on any blog, newsletter or forum — it shows the honest result, beat or lagged.

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How to read this
  • • The strategy line is Moving Average Crossover on Linde; the dashed line is simply buying and holding LIN. Beating the dashed line is the whole point — many strategies don't.
  • • Max drawdown is the worst peak-to-trough fall you'd have sat through. A higher return with a much deeper drawdown is not obviously better.
  • • Every fill assumes next-open execution with costs & slippage on — no acting on prices you couldn't have known.
  • • A small number of trades means a small sample. Treat a great-looking result on a handful of trades with suspicion.
What this is — and isn't

This is a hypothetical backtest of a well-known mechanism on past data. It is not advice, not a prediction, and not a claim that the strategy works. I hold no funds and place no orders. The value here is the ability to test an idea honestly — see where it would have helped, and where it would have hurt — before you ever risk real money on your own broker.

How this is computed → · who's behind it · where a backtest fits

See what actually beats buy & hold — most don't, here are the rare few that do →