Best Moving Average Settings for Day Trading (And Why There’s No Perfect Number)
Daniel had switched his moving average settings four times in a single trading session. He tried the 9 EMA, decided it was too noisy, swapped to a 21 EMA, felt like he was missing entries, then jumped to a 50 SMA before switching back to the 9 again by the afternoon.
He wasn’t trading a strategy anymore. He was chasing a number, convinced that somewhere out there was one perfect setting that would finally make his charts make sense.
That search for a magic number is one of the most common traps in technical analysis. Traders looking for the best moving average settings for day trading are usually hoping for a single answer, but the honest one is that the right setting depends on the market, the timeframe and the strategy being used around it.
What a Moving Average Actually Does
A moving average smooths out price by averaging closing prices over a set number of periods, which helps traders see the underlying trend without the noise of every individual candle.
As the CME Group’s education page on moving averages explains, traders can calculate this in different ways, with simple moving averages weighting all periods equally and exponential moving averages giving more weight to recent price action, which makes EMAs react faster to sudden moves.
Fast Versus Slow, and Common Settings
Fast moving averages, like the 9 or 20 period EMA, respond quickly to price changes and are popular for spotting short term momentum and pullback entries.
Slower moving averages, like the 50, 100 or 200 period, are used to identify the broader trend and often act as dynamic support or resistance on a pullback. None of these numbers is inherently superior. Also read How to Start Day Trading With $100: A Realistic Beginner Guide.
A 9 EMA on a five minute chart behaves completely differently than a 9 EMA on a daily chart, because the underlying data it’s averaging represents a completely different amount of time.
Combining a fast and slow average is a common approach. A 9 and 20 EMA pairing is often used for short term momentum trades, a 20 and 50 EMA pairing for slightly longer swings within a trading day, and a 50 and 200 pairing for identifying a longer term trend bias, sometimes referenced through golden cross and death cross patterns.
These combinations are educational starting points, not guaranteed signals, and traders should treat crossovers as one piece of evidence rather than an automatic trade trigger.
Why Context Matters More Than the Number
Volatile assets like small cap stocks or certain cryptocurrencies may generate excessive false signals with fast settings, while a stable, liquid pair might work well with the same setting.
Scalpers operating on one minute charts often need faster averages than swing traders analyzing four hour charts. Also read How to Day Trade Crypto Without Losing Money: A Realistic Risk Management Guide.
This is why professional traders generally choose their settings based on their strategy and the asset’s typical behavior, then stay consistent, rather than adjusting the number every time a trade doesn’t work out.
Combining Moving Averages With Other Tools
Moving averages become more useful alongside price action and support and resistance zones, since a moving average that aligns with a horizontal level adds extra confluence to that area.
Volume can help confirm whether a crossover has real conviction behind it, and momentum indicators like RSI can help avoid entering a fast moving average signal that’s already stretched far from its mean.
The Investor.gov page on leveraged investing strategies is a useful reminder that any technical signal, moving averages included, should be considered alongside a clear understanding of the risk involved in the position being taken.
Common Mistakes Traders Make With Moving Averages
Overfitting is a frequent issue, where a trader tests dozens of settings on historical data until one looks perfect, without realizing it was curve fit to the past rather than genuinely predictive.
Changing settings after every single loss is another common error, since it prevents a trader from ever building enough sample size to know if a setting is actually working.
Stacking too many moving averages on one chart can create visual clutter that makes decisions harder, not easier, and ignoring the underlying price structure in favor of the moving average alone can lead to entries that fight against clear support or resistance.
Moving Average Day Trading Example
Picture a trader watching a 20 EMA and 50 EMA on a fifteen minute chart of a major stock index. Price has been trending upward, staying above both averages, with the 20 EMA acting as a bounce point on pullbacks.
When price dips to the 20 EMA and forms a bullish reversal candle near that level, the trader enters, places a stop below the recent swing low, and targets the next resistance zone.
If price closes decisively below the 50 EMA instead, that’s treated as a signal the trend may be weakening, prompting more caution rather than an automatic reversal trade.
Frequently Asked Questions
What is the single best moving average setting for day trading?
There isn’t one universal answer. The right setting depends on the timeframe, asset volatility and the trader’s specific strategy.
Is EMA or SMA better for day trading?
EMA reacts faster to recent price changes, which many day traders prefer, while SMA offers a smoother, slightly slower read on trend.
What does a 9 and 20 EMA crossover mean?
It’s often used as a short term momentum signal, though it should be confirmed with price action rather than traded automatically.
Do professional traders use the 200 moving average?
Many use it as a longer term trend filter, especially on daily charts, to gauge overall market bias.
Why do my moving average settings keep failing?
Frequently switching settings after losses, or applying a setting that doesn’t match the asset’s volatility, are common causes.
Can moving averages be used as support and resistance?
Yes, this is one of their most common day trading applications, particularly during trending conditions.
