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Moving Averages -


Table of Contents:

*Introduction
*Simple Moving Averages (SMA)
*Exponential Moving Averages (EMA)
*Simple moving average vs Exponential moving average
*Uses for Moving Averages
 

 

Introduction

 

Moving average analysis is one of the three important parts of Uncle Steve’s:  “Tripod of Technical Analysis.”  Candlesticks and momentum oscillators comprise the other two significant areas.  We feel all traders should view charts with superimposed moving averages.  Moving averages are part of technical analysis.

Moving averages are one of the most popular and easy to use tools available to the technical analyst. They smooth a data series and make it easier to spot trends, something that is especially helpful in volatile markets. They also form the building blocks for many other technical indicators and overlays.

 

The two most popular are the Simple Moving Average (SMA) and the Exponential Moving Average (EMA).  In our seminar you will see that we use a proprietary moving average.  Moving averages can be used on commodity futures, forex, e-mini's and equities.

 

We use Metastock charts for our technical analysis.  We use candlestick charts for all our analysis and online trading.

Simple Moving Averages (SMA)

A simple moving average is formed by computing the average (mean) price of a security over a specified number of periods. While it is possible to create moving averages from the Open, the High, and the Low data points, most moving averages are created using the closing price. For example: a 10-day simple moving average is calculated by adding the closing prices for the last 10 days and dividing the total by 10.

 

The calculation is repeated for each price bar on the chart. The averages are then joined to form a smooth curving line - the moving average line. Continuing with our example, the next closing price is added and the oldest day would be dropped.

 

This simple illustration highlights the fact that all moving averages are lagging indicators and will always be "behind" the price. If the price of a security were rising, the simple moving average would most likely be below. Because moving averages are lagging indicators, they fit in the category of trend following indicators. When prices are trending, moving averages work well. However, when prices are not trending, moving averages can give misleading signals.

 

A moving average is a technical indicator that shows price of an issue over a period of time.  Although simple moving averages are common, we favor and use T3 averages.  The T3’s are beautifully structured exponential moving average.  They are both smooth and sensitive to changes in market direction.

Exponential Moving Averages (EMA)


In order to reduce the lag in simple moving averages, technicians often use exponential moving averages (also called exponentially weighted moving averages). Exponetial moving averages reduce the lag by applying more weight to recent prices relative to older prices. The weighting applied to the most recent price depends on the specified period of the moving average. The shorter the exponential moving averages time period, the more weight given  that will be applied to the most recent price. For example: a 10-period exponential moving average weighs the most recent price 18.18% while the 20-period exponential moving avarage weighs the most recent price 9.52%. Calculating and EMA is much harder than calculating an SMA. The important thing to remember is that the exponential moving average puts more weight on recent prices. As such, it will react quicker to recent price changes than a simple moving average.

 

 

Simple vs Exponential Moving Averages

It appears that the difference between an exponential moving average and a simple moving average is minimal. The exponential moving average is consistently closer to the actual price.

Which is preferable?

 

Which moving average you use will depend on your trading and investing style and preferences. The simple moving average obviously has a lag, but the exponential moving average may be prone to quicker breaks. Some traders prefer to use exponential moving averages for shorter time periods to capture changes quicker. Some investors prefer simple moving averages over long time periods to identify long-term trend changes.

 

The more sensitive an indicator is, the more signals that will be given. These signals may prove timely, but with increased sensitivity comes an increase in false signals. The less sensitive an indicator is, the fewer signals that will be given. However, less sensitivity leads to fewer and more reliable signals. Sometimes these signals can be late as well.

 

For moving averages, the same dilemma applies. Shorter moving averages will be more sensitive and generate more signals. The exponential moving avarage, which is generally more sensitive than the simple moving average, will also be likely to generate more signals. However, there will also be an increase in the number of false signals. Longer moving averages will move slower and generate fewer signals. These signals will likely prove more reliable, but they also may come late. Each investor or trader should experiment with different moving average lengths and types to examine the trade-off between sensitivity and signal reliability.  You will need to know the market you are trading in order to use the best moving average.  They will be different for different markets like the forex and commodity futures.

 

 

Uses for Moving Averages

 
  • Trend identification/confirmation -
     
    There are three ways to identify the direction of the trend with moving averages: direction, location and crossovers.

    The first trend identification technique uses the direction of the moving average to determine the trend. If the moving average is rising, the trend is considered up. If the moving average is declining, the trend is considered down. The direction of a moving average can be determined simply by looking at a plot of the moving average or by applying an indicator to the moving average. In either case, we would not want to act on every subtle change, but rather look at general directional movement and changes.

     

  • Support and Resistance level identification/confirmation -  Another use of moving averages is to identify support and resistance levels. This is usually accomplished with one moving average and is based on historical precedent. As with trend identification, support and resistance level identification through moving averages works best in trending markets.
 

Moving averages can be effective tools to identify and confirm trend, identify support and resistance levels, and develop trading systems. However, traders and investors should learn to identify securities that are suitable for analysis with moving averages and how this analysis should be applied.

 

The advantages of using moving averages need to be weighed against the disadvantages. Moving averages are trend following, or lagging, indicators that will always be a step behind. This is not necessarily a bad thing though. After all, the trend is your friend and it is best to trade in the direction of the trend. Moving averages will help ensure that a trader is in line with the current trend. However, markets, stocks and securities spend a great deal of time in trading ranges, which render moving averages ineffective. Once in a trend, moving averages will keep you in, but also give late signals. Don't expect to get out at the top and in at the bottom using moving averages. As with most tools of technical analysis, moving averages should not be used on their own, but in conjunction with other tools that complement them. Using moving averages to confirm other indicators and analysis can greatly enhance technical analysis.

 

Please join us for a seminar that will give you a great foundation in candlestick analysis.  “Invest” in your trading education.

 

 

The natural progression in taking our seminars is to take Candlesticks, then Moving Averages, then Momentum Oscillators.

 

 

 

 


 

$299.00

   

 

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