Students often arrive preferring exponential moving averages because they react faster. That speed is useful on four-hour charts when a swing lasts eight to twelve sessions, but it also produces more false touches.
When we default to SMA
On daily charts for stocks with average daily volume above five million shares, the simple 20-period average filters noise. The lag is a feature: you see where institutions likely accumulated over a full month of sessions.
When EMA earns its place
On four-hour charts during earnings-season volatility, the 20-period EMA catches the first pullback after a gap. Pair it with a horizontal support level from the daily chart — never use the average alone.
A practical exercise
Print the same six-month window twice. Mark entries using SMA on one sheet and EMA on the other. Count how many pullbacks would have stopped you out within two bars. The difference usually surprises traders who assumed faster was better.