Moving average indicators are used to automatically plot a moving trendline on a chart, which enables the analysis of stock trends and direction. Moving averages are a simple and popular stock chart indicator.
While experienced traders might opt for more complex indicators, the moving average, when used correctly, is extremely powerful and reliable.
What is a moving average? How do you calculate it? And why should you care? In this article, we will answer all of these questions and more. We will start by discussing what a moving average is and how it is calculated. Then, we will explore the different types of moving averages and discuss why you might want to use them in your trading strategy. Finally, we will look at examples of how to use moving averages to forecast future prices.
What is a moving average?
So, what is a moving average? A moving average is simply a way of smoothing out data. It does this by taking the average of a certain number of data points and then plotting that average as a line on a chart. The Simple Moving Average (SMA) and the Exponential Moving Average (EMA) are the most commonly used moving averages. We will discuss how to calculate each of these below.
How to calculate a moving average
When calculating a moving average is to decide which data points you want to include in the average. This is typically done by choosing a time period, such as 20 days, 50 days, or 200 days. Once you have chosen your time period, you add up the closing prices for that number of days and then divide by the number of days. This will give you the average price for that time period.
Calculating a moving average example
For example, let’s say we wanted to calculate the 50-day moving average for a stock. We would start by adding the closing prices for the past 50 days and then dividing by 50. This would give us the average price for the past 50 days. We could then plot this as a line on a chart, showing us how the stock has traded over that period.
Now that we know how to calculate a moving average let’s consider why they are useful.
Why moving averages are useful
Moving averages can be used in several ways, but one of the most common is to help identify trends. When prices are trending up, the moving average will also be going up. Likewise, the moving average will usually be headed lower when prices are trending down.
Moving averages can also be used to help confirm breakouts. For example, if prices are trading above a 200-day moving average, that may indicate a long-term uptrend. Conversely, if prices are trading below a 200-day moving average, that could be a sign that a downtrend is underway.
There are many other ways to use moving averages, but these are just a few of the most common. Now let’s take a look at how to calculate them.
3 Types of moving average
As we mentioned earlier, there are three main moving averages: the Simple Moving Average (SMA), the Exponential Moving Average (EMA), and the Weighted Moving Average. Let’s start with the SMA.
Simple Moving Average
The Simple Moving Average is just as it sounds – it is simply the average of a certain number of data points. To calculate it, you add up the prices for a certain time period and then divide by the number of days in that period. For example, if you wanted to calculate the 20-day SMA, you would add up the closing prices for the past 20 days and divide by 20.
Exponential Moving Average
The Exponential Moving Average is similar to the Simple Moving Average but gives more weight to recent data points. This makes it more responsive to changes in price direction. To calculate it, you use a slightly different formula.
A higher weight is placed on the most recent data, so the moving average line responds quicker to the latest price moves. This attempts to reduce one of the weaknesses in moving averages. This weakness is that the moving average is a lagging indicator, and depending on the length of the moving average, it can take time for the MA to start moving in the direction of the stock price.
Weighted moving average
The weighted moving average is similar to the exponential moving average but gives even more weight to recent data points. This makes it even more responsive to changes in price direction. To calculate it, you use a different formula again.
Finally, let’s look at two of the most common moving averages – the 50-day moving average and the 200-day moving average.
50-day moving average
The 50-day moving average is the average of the past 50 days’ closing prices. Many traders use it to help identify short-term trends. If prices are above the 50-day MA, that is typically seen as an indication that an uptrend is in place. Conversely, if prices are below the 50-day MA, that is often seen as a sign that a downtrend may be underway.
200-day moving average
The 200-day moving average is similar to the 50-day MA but uses a longer time period. As such, investors often use it to help identify long-term trends. If prices are above the 200-day MA, that is generally considered an indication that a long-term uptrend is in place. If prices are below the 200-day MA, on the other hand, that may be seen as a sign that a long-term downtrend could be underway.
One final point to remember is that moving averages are lagging indicators. This means that they will tend to lag behind the actual price action. As such, they should not be used as a sole source of information when making trading decisions. Rather, they should be used in conjunction with other technical indicators to give you a more complete picture of what is going on in the market.
How to use moving averages for forecasting
MAs can be used for forecasting future prices. The most common way to do this is to use a weighted MA. A weighted MA assigns different weights (or importance) to each data point in calculating the mean. This gives more weight to recent data points and less to older ones.
This makes the weighted MA more responsive to recent changes in price and more useful for forecasting purposes.
To calculate a weighted MA, you multiply each data point by a weighting factor and then take the mean.
There are different ways to weight the data points, but the most common method is to use an exponential moving average (EMA).
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Moving Averages Summary
Moving averages can be used in many ways, but these are just a few of the most common uses. As you can see, they can be a helpful tool for identifying trends and confirming breakouts.
That’s all for now. Thanks for reading! We hope this article has helped demystify moving averages and show you how to use them in your trading or investing activities. Moving averages are just one tool in the trader’s toolbox.