Stratsemble
Preparation · Stage 2 of 5 — Test
INTU · IntuitStocks

Does the On-Balance Volume strategy beat buy & hold on Intuit? (INTU · backtested honestly)

On-Balance Volume is a running total that adds volume on up-days and subtracts it on down-days, so the line rises when up-day volume dominates.

Lagged buy & hold2021-10-06 → 2026-10-05 · 1,254 barsCosts & slippage onvs Buy & HoldHypothetical · not advice
Total return
-74.6%
Buy & hold -44.7%
vs Buy & Hold
-29.8 pts
lagged the benchmark
Max drawdown
-78.9%
Sharpe -0.97 · 28 trades
The honest read

Over this period, On-Balance Volume on Intuit returned -74.6%, while simply buying and holding returned -44.7% — it lagged buy & hold by 29.8 points, with a worst drawdown of -78.9%. It traded 28 times and sat in cash about 54% 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 Intuit, 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 Intuit? 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.

28 trades total — 10 winners, 18 losers (36% won). Below is one of each, not a scoreboard.

  1. Entry. A long entry fired; filled at the next open on 2022-12-14 at $426.53 — never the signal bar's own close.
  2. Held. 3 daily bars.
  3. Exit. Exited on 2022-12-19 at $388.74 (the exit rule fired (filled at the next open)).
  4. Result. -8.96% after costs.

The worst single trade in this whole test reached -25.31%.

  1. Entry. A long entry fired; filled at the next open on 2024-06-26 at $628.00 — never the signal bar's own close.
  2. Held. 24 daily bars.
  3. Exit. Exited on 2024-07-31 at $652.00 (the exit rule fired (filled at the next open)).
  4. Result. +3.72% 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 On-Balance Volume on Intuit; the dashed line is simply buying and holding INTU. 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 →