Moving Averages: Finding the Trend Beneath the Market’s Daily Noise
Markets are noisy.
One day crude oil rises sharply. The next day it falls. Gold rallies for three sessions, retreats for two, then begins climbing again. Copper can move dramatically on a single economic report and reverse part of that move hours later.
If we focus on every individual price movement, it can become difficult to answer a surprisingly basic question:
What is the underlying trend?
One of the oldest and most widely used tools for answering that question is the moving average.
Moving averages don’t predict where a market will go next. Instead, they smooth out some of the short-term fluctuations in price so that the broader direction becomes easier to see.
And sometimes, seeing the forest instead of every individual tree is exactly what an analyst needs.
What Is a Moving Average?
A moving average calculates the average price of a market over a specified number of periods.
Suppose we want a five-day moving average.
If a commodity’s closing prices for the last five sessions were:
$70
$72
$71
$73
$74
we add them together:
70 + 72 + 71 + 73 + 74 = 360
Then divide by five:
360 ÷ 5 = $72
So the five-day average closing price is $72.
Tomorrow, the oldest observation drops out and the newest closing price is added.
That’s why it’s called a moving average.
The calculation continually moves forward with the market.
Technical Indicator of the Day: Simple Moving Average (SMA)
The calculation we just performed is called a Simple Moving Average, or SMA.
Every price included in an SMA receives equal weight.
A 20-day SMA averages the most recent 20 periods.
A 50-day SMA averages 50.
A 200-day SMA averages 200.
The longer the period, the smoother the resulting line tends to become.
A short moving average responds quickly to changing prices.
A long moving average responds more slowly.
That difference is important.
What Does the Moving Average Tell Us?
One of the simplest ways analysts use a moving average is to examine its direction.
If a moving average is steadily rising, that suggests the market’s average price has been increasing.
If it is steadily declining, average prices have been falling.
If it moves mostly sideways, the market may be consolidating rather than trending strongly.
Analysts may also compare the current market price with the moving average.
For example:
Price above a rising moving average may be consistent with an established upward trend.
Price below a falling moving average may be consistent with an established downward trend.
But notice the wording:
consistent with.
Not:
guarantees.
Moving averages describe price behavior. They don’t dictate what the market must do next.
Short-Term Versus Long-Term Averages
Different moving averages answer different questions.
A 10-day moving average might help an analyst examine relatively recent momentum.
A 50-day average provides a broader intermediate view.
A 200-day average is commonly used to examine long-term market direction.
Imagine gold is trading above its 10-day average but below its 200-day average.
Is gold bullish or bearish?
The correct answer might be:
It depends on the time frame.
The market could be experiencing a short-term rally while remaining inside a longer-term downtrend.
This is another reason technical analysis shouldn’t be reduced to simple labels.
Markets can exhibit different trends simultaneously across different time horizons.
Simple Moving Average vs. Exponential Moving Average
There’s another moving average you’ll frequently encounter:
The Exponential Moving Average, or EMA.
Unlike the SMA, which weights every included price equally, an EMA gives greater weight to more recent prices.
That makes it react more quickly when market conditions change.
Suppose a commodity suddenly makes a large move today.
A short EMA will generally respond faster than an equivalent SMA.
Neither method is inherently “better.”
They simply emphasize information differently.
The SMA tends to provide smoother historical context.
The EMA tends to react more quickly to recent changes.
Analysts choose between them—or sometimes use both—depending on what they are trying to measure.
Moving-Average Crossovers
Another popular technique compares two moving averages.
Suppose an analyst plots:
20-day moving average
and
50-day moving average
The 20-day average reacts more quickly because it represents a shorter period.
If the 20-day average rises above the 50-day average, analysts may view the crossover as evidence that recent price strength is beginning to exceed the longer-term average.
If the 20-day falls below the 50-day, it may indicate weakening short-term price behavior.
Longer-term analysts sometimes watch the famous:
50-day / 200-day crossover.
When the 50-day rises above the 200-day, financial media often call it a Golden Cross.
When the 50-day falls below the 200-day, it is commonly called a Death Cross.
Those names sound far more dramatic than the underlying mathematics.
In reality, both are simply comparisons between two historical averages.
They are evidence—not prophecies.
The Biggest Weakness: Moving Averages Lag
Moving averages have an unavoidable limitation.
They are calculated entirely from past prices.
That means they are lagging indicators.
A market has to move before the moving average can respond.
If crude oil suddenly reverses sharply, a 200-day moving average isn’t going to turn immediately.
It contains 199 other historical observations.
This lag isn’t necessarily a flaw.
It’s part of the tradeoff.
The smoothing that helps eliminate short-term noise also causes the indicator to respond more slowly.
Generally:
Shorter average = faster response + more noise
Longer average = slower response + more smoothing
Understanding that tradeoff is more important than searching for a supposedly perfect moving-average period.
Moving Averages Can Become Reference Areas
Moving averages can sometimes behave similarly to dynamic support or resistance.
Suppose a commodity is in a strong uptrend.
Price repeatedly retreats toward its rising 50-day moving average and then rebounds.
Market participants may begin watching that average closely.
But we should be careful with the interpretation.
The moving average isn’t physically supporting the market.
Instead, many participants may be observing the same reference area and adjusting their behavior around it.
And eventually, price can move straight through it.
Again, the important information is not simply:
“Price touched the moving average.”
It is:
“What did price do when it reached that area?”
Combine Moving Averages With Market Structure
Moving averages become more informative when combined with concepts we’ve already discussed.
Suppose a commodity has:
- a rising 50-day moving average,
- price trading above that average,
- a sequence of higher highs and higher lows,
- expanding volume during advances, and
- established support remaining intact.
That’s a considerably richer technical picture than simply saying:
“Price is above the 50-day average.”
This illustrates one of the central ideas behind the MarketsTriad approach:
Look for agreement among independent pieces of evidence.
No indicator should be asked to do everything.
Beware of Sideways Markets
Moving-average systems can become particularly frustrating when a market has no strong trend.
Imagine price repeatedly moving above and below its 20-day moving average.
Up.
Down.
Up again.
Down again.
Each crossover could appear meaningful, only to reverse shortly afterward.
Analysts sometimes call this whipsaw.
Moving averages tend to be most informative when a market is actually trending.
In a sideways market, support and resistance, volatility measures or range-based analysis may provide better context.
Before using a trend-following indicator, therefore, it’s worth asking:
Is there actually a trend to follow?
MarketsTriad Takeaway
Moving averages help remove some of the market’s short-term noise so that the underlying direction becomes easier to see.
But they aren’t forecasting machines.
They lag because they’re built from historical prices.
Their real value comes from helping us organize the evidence.
The next time you look at a commodity chart, try this exercise:
First look at the price chart by itself.
Decide what you think the trend is.
Then add a 20-, 50- or 200-period moving average.
Ask:
Does the moving average confirm what I thought I was seeing?
That simple exercise begins turning an indicator from a colored line on a chart into an analytical tool.
And that is the real objective:
Not adding more indicators—but learning to extract more information from each one.
MarketsTriad provides market information and educational analysis. This material is for educational and informational purposes only and is not individualized investment, trading, legal, or financial advice. Futures and commodities involve substantial risk, and past market behavior does not guarantee future results.