Moving averages are one of the most popular tools used by active traders to measure momentum. The primary difference between a simple moving average, weighted moving average and exponential moving average is the formula used to create them.
Simple Moving Average
The simple moving average (SMA) was prevalent before the rise of computers due to the ease in calculating. The increase in processing power has made other types of moving averages and technical indicators easier to use. A moving average is calculated from the average of the closing prices for the time period being examined. A moving average most often uses daily closing prices, but it can also be calculated for other timeframes. Other price data such as the opening price or the median price may also be used. At the end of the new price period, that data is added to the calculation, while the oldest price data in the series is eliminated.
For a simple moving average, the formula is the sum of the data points over a given period divided by the number of periods. For example, the closing prices of Apple Inc (AAPL) from June 2026, 2014 were as follows:
Date 
Closing Price of AAPL 
June 26 
$90.90 
June 25 
$90.36 
June 24 
$90.28 
June 23 
$90.83 
June 20 
$90.91 
A fiveperiod moving average, based on the prices above, would be calculated using the following formula:
(P1+P2+P3+P4+P5)/5
P = Period
($90.90+$90.36+$90.28+$90.83+$90.91)/5 = $90.656
Based on the equation above, the average price over the period listed above was $90.66. Using moving averages is an effective method for eliminating strong price fluctuations. The key limitation is that data points from older data are not weighted any differently than data points near the beginning of the data set. This is where weighted moving averages come into play.
Weighted Moving Average
Weighted moving averages assign a heavier weighting to more current data points since they are more relevant than data points in the distant past. The sum of the weighting should add up to 1 (or 100%). In the case of the simple moving average, the weightings are equally distributed, which is why they are not shown in the table above.
For example:
Date 
Closing Price of AAPL 
Weighting 
June 26 
$90.90 
5/15 
June 25 
$90.36 
4/15 
June 24 
$90.28 
3/15 
June 23 
$90.83 
2/15 
June 20 
$90.91 
1/15 
The weighted average is calculated by multiplying the given price by its associated weighting and totaling the values. The denominator of the WMA is the sum of the number of price periods as a triangular number. In the example above, the weighted 5day moving average would be $90.62.
((90.9*(5/15))+(90.36*(4/15))+(90.28*(3/15))+(90.83*(2/15))+(90.91*(1/15)))
In this example, the recent data point was given the highest weighting out of an arbitrary 15 points. You can weigh the values out of any value you see fit. The lower value from the weighted average above relative to the simple average suggests the recent selling pressure could be more significant than some traders anticipate. For most traders, the most popular choice when using weighted moving averages is to use a higher weighting for recent values. (For more information, see: Moving Average Tutorial.)
Exponential Moving Averages
Exponential moving averages (EMAs), are also weighted toward the most recent prices, but the rate of decrease between the one price and its preceding price is not consistent. The difference in decrease is exponential. Rather than every preceding weight being 1.0 smaller than the weight in front of it, you might have a difference between the first two period weights of 1.0, a difference of 1.2 for the two periods after those, and so on.
Calculating an EMA involves a couple of steps. The first step is to determine the SMA for the time period, which is the first data point in the EMA formula. Then, a multiplier is calculated by taking 2 divided by the number of time periods plus 1. The final step is to take the closing price minus the prior day EMA, times the multiplier plus the prior day EMA. (For related reading, see: What is the exponential moving average (EMA) formula and how is the EMA calculated?)
Which Moving Average Is More Effective?
Because an exponential moving average (EMA) uses an exponentially weighted multiplier to give more weight to recent prices, some believe it provides a more effective indicator to determine trend when compared with a WMA or SMA. Some believe that the EMA is more responsive to changes in trend. On the other hand, the more basic smoothing provided by the SMA may make it better for finding simple support and resistance areas on a chart. In general, moving averages smooth price data that can otherwise be visually noisy.
The functions of an EMA and a WMA are similar, relying more heavily on the most recent prices and placing less value on older prices. Traders use these over SMAs if they are concerned about the effects of lags in data reducing the responsiveness of the moving average indicator.
All moving averages have a significant drawback in that they are lagging indicators. Since moving averages are based on prior data, they suffer a time lag before they reflect a change in trend. A stock price may move sharply before a moving average can show a trend change. A shorter moving average suffers from less lag than a longer moving average.
Still, this lag is useful for certain technical indicators known as moving average crossovers. The technical indicator known as the death cross occurs when the 50day SMA crosses below the 200day SMA, and it is considered a bearish signal. An opposite indicator known as the golden cross is created when the 50day SMA crosses above the 200day SMA, and it is considered a bullish signal. (For related reading, see: How to Use a Moving Average to Buy Stocks.)

What is the difference between a simple moving average and an exponential moving ...
The only difference between simple moving average and an exponential moving average is the sensitivity each one shows to ... Read Answer >> 
Which periods are used most commonly in creating moving average (MA) lines?
Learn the most commonly selected periods used by traders and market analysts in creating moving averages to overlay as technical ... Read Answer >> 
Which indicators best complement the Exponential Moving Average (EMA)?
Utilize additional technical indicators to complement and improve a basic trading strategy that relies on exponential moving ... Read Answer >> 
What are the main disadvantages of using moving averages (MA)?
Learn about some of the inherent limitations and possible misapplications of moving average analysis within technical stock ... Read Answer >> 
How do I use moving average to create a forex trading strategy?
Learn a simple forex trading strategy that uses multiple moving averages (MAs) and is designed to create lowrisk, highreward ... Read Answer >> 
What is the 200Day Simple Moving Average?
The 200day simple moving average (SMA) is considered a key indicator by traders and market analysts for determining the ... Read Answer >>

Trading
Do Adaptive Moving Averages Lead To Better Results?
These complex indicators can help traders interpret trend changes, but are they too good to be true? 
Trading
How to Use a Moving Average to Buy Stocks
The moving average (MA) is a simple technical analysis tool that smooths out price data by creating a constantly updated average price. 
Trading
Simple Moving Averages Make Trends Stand Out
The moving average (MA) is easy to calculate and, once plotted on a chart, is a powerful visual trendspotting tool and technical indicator. 
Trading
The 7 Pitfalls of Moving Averages
While moving averages can be a valuable tool, they are not without risk. 
Trading
Tackling Technicals For Beginners
Choosing the right indicators can be a daunting task for novice traders. It’s a much easier process when they focus their effects into five categories. 
Investing
The P/E Ratio: A Good MarketTiming Indicator
Check out the returns this newer technical analysis tool would've yielded over the period from 1920 to 2003.

Simple Moving Average  SMA
A simple moving average (SMA) is an arithmetic moving average ... 
Linearly Weighted Moving Average
Linearly Weighted Moving Average is a price momentum calculation ... 
Weighted
Weighted is a description of adjustments to a figure to account ... 
Weighted Average Credit Rating
The weighted average credit rating is the weighted average rating ... 
Weighted Average Loan Age  WALA
The weighted average loan age measures the average age of the ... 
Triple Exponential Moving Average  TEMA
The triple exponential moving average, or TEMA, was developed ...