Stratsemble
Preparation · Stage 2 of 5 — Test
ETH · EthereumCrypto

Does the False Break strategy beat buy & hold on Ethereum? (ETH · backtested honestly)

The observable half of a liquidity sweep: a new low beyond the last N closed bars' support that a later bar closes back above — the failed push lower that reclaimed the level, read from price alone with no claim about resting orders a feed cannot show.

Lagged buy & hold2021-10-02 → 2026-09-30 · 1,825 barsCosts & slippage onvs Buy & HoldHypothetical · not advice
Total return
-61.4%
Buy & hold -20.9%
vs Buy & Hold
-40.6 pts
lagged the benchmark
Max drawdown
-74.4%
Sharpe -0.12 · 50 trades
The honest read

Over this period, False Break on Ethereum returned -61.4%, while simply buying and holding returned -20.9% — it lagged buy & hold by 40.6 points, with a worst drawdown of -74.4%. It traded 50 times and sat in cash about 42% 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 Ethereum, 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.

Have your own idea for Ethereum? Build and honestly test your own strategy — no code, costs on, measured against buy & hold.

Build your own on Ethereum →
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.

50 trades total — 13 winners, 37 losers (26% won). Below is one of each, not a scoreboard.

  1. Entry. A long entry fired; filled at the next open on 2026-01-27 at $2,926.2 — never the signal bar's own close.
  2. Held. 4 daily bars.
  3. Exit. Exited on 2026-01-31 at $2,702.3 (the exit rule fired (filled at the next open)).
  4. Result. -7.75% after costs.

The worst single trade in this whole test reached -26.29%.

  1. Entry. A long entry fired; filled at the next open on 2023-03-12 at $1,482.43 — never the signal bar's own close.
  2. Held. 41 daily bars.
  3. Exit. Exited on 2023-04-22 at $1,849.29 (the exit rule fired (filled at the next open)).
  4. Result. +24.65% 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 False Break on Ethereum; the dashed line is simply buying and holding ETH. 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 →