WhitmanTrading

SMA vs Supertrend

The simple moving average averages closes and knows nothing about how large the bars were. Supertrend places a level a multiple of average range from price, so it widens automatically when a market becomes more volatile and the average does not.

An average of closes against a level built from bar range. They are both called trend tools and only one of them has any idea how much the market is moving.

What each one is

The simple moving average averages the closes in its window equally. Its distance from price is whatever it happens to be, and nothing in it responds to how large the bars are. The simple moving average covers it.

Supertrend places a level a multiple of average range away from price and flips it to the other side when price crosses. Supertrend covers the construction.

One describes a level and the other states a position. That is the second difference, and it decides what each can sensibly be used for.

Where they differ

A price series with an equally weighted average line.
A level, indifferent to bar size. Illustrative chart - not real market data.

Whether bar size matters. On this site’s shared series the average true range has a median of 0.5994 and a ninetieth percentile of 0.7954 — supertrend’s distance moves with that figure and the average’s does not.

The second half of a price series with a range-based trailing level.
A distance that grows with the bars. Illustrative chart - not real market data.

What happens when a market gets busier. The average keeps behaving as before, so it is crossed more often. Supertrend widens, so it is crossed about as often as it was.

A slice of price data where a fixed line and an adaptive level separate.
They separate exactly when conditions change. Illustrative chart - not real market data.

Whether neutral exists. The average can sit flat while price crosses it repeatedly, which honestly depicts a range. Supertrend is always long or short and never says it does not know.

Who else is looking. A standard-length simple average is watched by a great many people at once. Supertrend with your particular multiplier is watched by almost nobody.

Where they agree

A window of price data driving both tools.
Both are computed from bars that already printed. Illustrative chart - not real market data.

Both are reactive. Neither contains a forecast, and both change only after a bar has closed.

Both fail in a range. On this site’s shared series direction runs average 2.01 bars with a longest of 11 — the average flattens and supertrend flips repeatedly.

Both cost a round trip per signal acted on — about 2% of the median bar range of 0.493 here — and the tool that changes state more often pays it more often.

And neither is a substitute for a stop at structure. The largest single bar range here was 2.338, which is what any mechanical level has to survive.

Which one to use

A range-bound stretch of price flipping an adaptive level.
A range flips the two-state tool constantly. Illustrative chart - not real market data.

Run the simple average when you want a shared level. Its usefulness is partly that other people are acting at the same number, and that property does not exist on a tool nobody else has configured your way.

A slow-moving stretch of price with an adaptive level trailing it.
An adaptive exit is what the range-based tool is for. Illustrative chart - not real market data.

Run supertrend when you want an exit that adapts. A stop distance derived from measured range is a better idea than a fixed one, and that is the honest case for the tool.

Run supertrend when the instrument’s character changes. A market that becomes twice as active does not change what an average says, and it changes everything about how often the average is crossed.

And when supertrend is being presented as a trend indicator, treat it as a stop. Judging it as an entry signal measures it at its weakest job.

Why adaptation matters more than it sounds

A candlestick chart annotated with the round-trip cost of a switch.
Every flip acted on costs a round trip. Illustrative chart - not real market data.

Because a fixed rule silently changes meaning. The same average crossed in a quiet market and a busy one is describing two different events, and nothing on the chart tells you which you are in.

A section of a price series drawn without volume context.
And a thin market breaks both tools in different ways. Illustrative chart - not real market data.

And because most methods fail when conditions change rather than when they were wrong. A tool that adjusts to range at least notices that something changed.

What a range-based distance is worth

It gives the number a reason. A stop at two units is arbitrary; a stop at two average ranges is scaled to what the instrument actually does, and it moves when that changes.

It makes instruments comparable. The same multiple on two markets means something similar, which a fixed distance never can.

It does not make the stop right. On this site’s data trailing stops at 1, 2, 3 and 4 average ranges survived a median of 3, 10, 22 and 32 bars across 562 trials — a wider stop lasts longer and costs more when it goes.

And it does not decide direction. Adapting the distance is a separate question from knowing which way to face, and supertrend answers the first well and the second badly.

The original data

Of the 24,971 unique videos in research/search-study-corpus.jsonl, no title compares these two directly — this pair is constructed from two subjects the corpus covers separately. Separately, supertrend appears in 122 titles at a median of 19,638 across 94 channels. The counts come from site/corpus_count.py.

A candlestick series with several gaps, the largest of them marked.
A gap flips the adaptive level immediately. Illustrative chart - not real market data.

122 videos on supertrend at a median of 19,638. A large audience per video on modest coverage, which is the profile of a subject people search for deliberately rather than encounter by accident.

A stretch of price bars cut short at a decision point.
Bars just got much larger. Same rules? Illustrative chart - not real market data.

The answer to the question on that chart is that only one of these tools has noticed. The range-based level has already widened; the average has not — so if your rules are built on the average, they now mean something different from what they meant last month.

When it fails

The failure is using a fixed-distance rule through a change in conditions, and nothing warns you. A method built around an average was tuned when bars were a certain size. The market becomes more active, the same line is now crossed far more often, and the trade count doubles without any decision being made. The rules were not changed and their meaning was, which is the hardest kind of failure to see because every individual trade looks like the method working.

The second failure is entering on supertrend flips. It flips in every range.

A third is an unusual length on the simple average. You lose the crowd.

A fourth is a fixed multiplier across instruments. Range differs by market.

A fifth is running both for confirmation. They read different inputs, not different markets.

And a sixth is expecting either to lead. Both are computed after the bar.

The simple moving average covers the equally weighted line. Supertrend covers the adaptive trailing level. And average true range covers the measure that makes one of them adapt.

What I actually do

Whether a tool knows how big the bars are is a bigger deal than it sounds. A market that starts moving twice as much has not changed what a moving average says at all, while the range-based tool has already adjusted. That is the whole comparison.

— Michael Whitman

This page is educational, not financial advice. Test every idea on your own charts before risking money.