Stratsemble
Preparation · Stage 2 of 5 — Test
XLK · Tech Sector ETF (XLK)ETFs

Does the Fair Value Gap strategy beat buy & hold on Tech Sector ETF (XLK)? (XLK · backtested honestly)

A three-candle price imbalance — a gap between the first candle's high and the third candle's low, confirmed at the third candle's close — that price may later return to before continuing higher or filling back in.

Lagged buy & hold2021-09-30 → 2026-09-29 · 1,254 barsCosts & slippage onvs Buy & HoldHypothetical · not advice
Total return
+24.1%
Buy & hold +170.3%
vs Buy & Hold
-146 pts
lagged the benchmark
Max drawdown
-16.0%
Sharpe 0.43 · 68 trades
The honest read

Over this period, Fair Value Gap on Tech Sector ETF (XLK) returned +24.1%, while simply buying and holding returned +170.3% — it lagged buy & hold by 146 points, with a worst drawdown of -16.0%. It traded 68 times and sat in cash about 72% of the time. It's a mechanism you test — not a recommendation.

What this settles

It lagged buy & hold over this window. That's a result — a backtest you can kill for free just did its job, and re-tuning it until it looks better only adds another shot at looking good by luck. Walking away from an idea that didn't beat simply holding is the honest move, not a failure.

If you still want to try to break it further, the five stages show how — but the cheapest lesson is the one you already have.

Interactive

Run it yourself

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

Have your own idea for Tech Sector ETF (XLK)? Build and honestly test your own strategy — no code, costs on, measured against buy & hold.

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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.

68 trades total — 33 winners, 35 losers (49% won). Below is one of each, not a scoreboard.

  1. Entry. A long entry fired; filled at the next open on 2024-08-30 at $109.90 — never the signal bar's own close.
  2. Held. 1 daily bars.
  3. Exit. Exited on 2024-09-03 at $109.00 (the exit rule fired (filled at the next open)).
  4. Result. -0.92% after costs.

The worst single trade in this whole test reached -5.74%.

  1. Entry. A long entry fired; filled at the next open on 2025-09-18 at $137.48 — never the signal bar's own close.
  2. Held. 6 daily bars.
  3. Exit. Exited on 2025-09-26 at $139.15 (the exit rule fired (filled at the next open)).
  4. Result. +1.12% 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 Fair Value Gap on Tech Sector ETF (XLK); the dashed line is simply buying and holding XLK. 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 →