Scalping with a single indicator: how far can it go?
Posted: Wed Oct 28, 2026 4:59 am
A single indicator, one entry rule, one exit rule. It sounds simplistic, and it has real advantages.
Simplicity makes testing easier. With few parameters, the risk of overfitting drops. The behaviour of the system is transparent, and diagnosing problems takes minutes instead of days. Execution is also quicker, with no waiting for multiple confirmations.
The limits are obvious. A single indicator can't distinguish between market regimes, so the strategy will suffer in conditions that don't suit it. It also can't capture context like session, news or spread.
Some traders handle this by adding non-indicator filters: a time window, a spread limit and a volatility minimum. These aren't "indicators" in the usual sense, but they do the job of regime filtering.
An instructive exercise is stripping a complex system down to its single best component, and seeing how much of the performance survives. Often, the answer is most of it.
For fun, an experiment: take a favourite complex strategy, remove all but one indicator, and run both on the same data. Compare net results, drawdown and trade counts. The single-indicator version will usually lose some of the profit and a lot of the complexity. Whether the trade-off is acceptable depends on how stable the extra rules turn out to be out of sample.
Which single indicator has produced the most consistent results, and what filters were added around it?
Simplicity makes testing easier. With few parameters, the risk of overfitting drops. The behaviour of the system is transparent, and diagnosing problems takes minutes instead of days. Execution is also quicker, with no waiting for multiple confirmations.
The limits are obvious. A single indicator can't distinguish between market regimes, so the strategy will suffer in conditions that don't suit it. It also can't capture context like session, news or spread.
Some traders handle this by adding non-indicator filters: a time window, a spread limit and a volatility minimum. These aren't "indicators" in the usual sense, but they do the job of regime filtering.
An instructive exercise is stripping a complex system down to its single best component, and seeing how much of the performance survives. Often, the answer is most of it.
For fun, an experiment: take a favourite complex strategy, remove all but one indicator, and run both on the same data. Compare net results, drawdown and trade counts. The single-indicator version will usually lose some of the profit and a lot of the complexity. Whether the trade-off is acceptable depends on how stable the extra rules turn out to be out of sample.
Which single indicator has produced the most consistent results, and what filters were added around it?