Stratsemble
Preparation · Stage 2 of 5 — Test
AMGN · AmgenStocks

Does the Stochastic RSI strategy beat buy & hold on Amgen? (AMGN · backtested honestly)

Stochastic RSI applies the Stochastic formula to RSI itself, showing where current RSI sits in its own recent range on a 0-1 scale — a fast, noisy stretch gauge.

Lagged buy & hold2021-10-06 → 2026-10-05 · 1,254 barsCosts & slippage onvs Buy & HoldHypothetical · not advice
Total return
-10.1%
Buy & hold +124.2%
vs Buy & Hold
-134 pts
lagged the benchmark
Max drawdown
-28.3%
Sharpe -0.03 · 46 trades
The honest read

Over this period, Stochastic RSI on Amgen returned -10.1%, while simply buying and holding returned +124.2% — it lagged buy & hold by 134 points, with a worst drawdown of -28.3%. It traded 46 times and sat in cash about 53% 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 Amgen, 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 Amgen? Build and honestly test your own strategy — no code, costs on, measured against buy & hold.

Build your own on Amgen →
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.

46 trades total — 26 winners, 20 losers (57% won). Below is one of each, not a scoreboard.

  1. Entry. A long entry fired; filled at the next open on 2026-04-28 at $344.50 — never the signal bar's own close.
  2. Held. 11 daily bars.
  3. Exit. Exited on 2026-05-13 at $332.32 (the exit rule fired (filled at the next open)).
  4. Result. -3.64% after costs.

The worst single trade in this whole test reached -15.44%.

  1. Entry. A long entry fired; filled at the next open on 2022-01-20 at $233.73 — never the signal bar's own close.
  2. Held. 14 daily bars.
  3. Exit. Exited on 2022-02-09 at $241.04 (the exit rule fired (filled at the next open)).
  4. Result. +3.03% 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 Stochastic RSI on Amgen; the dashed line is simply buying and holding AMGN. 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 →