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  • Fri, May 10 05:00 AM  Crude oil futures drop as dollar's strength grows:  The emboldened U.S. dollar pulled down West Texas Intermediate crude oil futures on Friday, as the world's reserve currency pushed to its top level in more than 14 days, according to Bloomberg.  Read more.    Fri, May 10 04:33 AM  Loonie dives after release of weak labor report:  The Canadian dollar on Friday dropped to its week-low against the U.S. dollar after the nation released underwhelming job-creation data, Bloomberg reports.  Read more.    Fri, May 10 02:17 AM  Aussie's losses increasingly causing concern:  Friday saw the Australian dollar dive toward parity with the world's reserve currency for the first time since the beginning of the second half of last year as concerns about Australia's economy were gaining momentum, according to Bloomberg.  Read more.    Fri, May 10 05:00 AM  Crude oil futures drop as dollar's strength grows:  The emboldened U.S. dollar pulled down West Texas Intermediate crude oil futures on Friday, as the world's reserve currency pushed to its top level in more than 14 days, according to Bloomberg.  Read more.    Fri, May 10 04:33 AM  Loonie dives after release of weak labor report:  The Canadian dollar on Friday dropped to its week-low against the U.S. dollar after the nation released underwhelming job-creation data, Bloomberg reports.  Read more.    Fri, May 10 02:17 AM  Aussie's losses increasingly causing concern:  Friday saw the Australian dollar dive toward parity with the world's reserve currency for the first time since the beginning of the second half of last year as concerns about Australia's economy were gaining momentum, according to Bloomberg.  Read more.    Fri, May 10 05:00 AM  Crude oil futures drop as dollar's strength grows:  The emboldened U.S. dollar pulled down West Texas Intermediate crude oil futures on Friday, as the world's reserve currency pushed to its top level in more than 14 days, according to Bloomberg.  Read more.    Fri, May 10 04:33 AM  Loonie dives after release of weak labor report:  The Canadian dollar on Friday dropped to its week-low against the U.S. dollar after the nation released underwhelming job-creation data, Bloomberg reports.  Read more.    Fri, May 10 02:17 AM  Aussie's losses increasingly causing concern:  Friday saw the Australian dollar dive toward parity with the world's reserve currency for the first time since the beginning of the second half of last year as concerns about Australia's economy were gaining momentum, according to Bloomberg.  Read more.   
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Smoothed Moving Average

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A Smoothed Moving Average is an Exponential Moving Average, only with a longer period applied.  The Smoothed Moving Average gives the recent prices an equal weighting to the historic ones.  The calculation does not refer to a fixed period, but rather takes all available data series into account.  This is achieved by subtracting yesterday’s Smoothed Moving Average from today’s price.  Adding this result to yesterday’s Smoothed Moving Average, results in today’s Moving Average.

Properties

Period.  The number of bars in a chart.  If the chart displays daily data, then period denotes days; in weekly charts, the period will stand for weeks, and so on.  The application uses a default of 9.  However, to smooth the Moving Average, the period specified is lengthened:  Period=2*n-1.

Aspect:  The Symbol field on which the study will be calculated.  Field is set to “Default”, which, when viewing a chart for a specific symbol, is the same as “Close”.

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Interpretation

A Smoothed Moving Average is another type of Moving Average.  In a Simple Moving Average, the price data have an equal weight in the computation of the average.  Also, in a Simple Moving Average, the oldest price data are removed from the Moving Average as a new price is added to the computation.  The Smoothed Moving Average uses a longer period to determine the average, assigning a weight to the price data as the average is calculated.  Thus, the oldest price data in the Smoothed Moving Average are never removed, but they have only a minimal impact on the Moving Average.

The main use of this study is its smoothing out function.  In this way, the Moving Average removes short-term fluctuations and leaves to view the prevailing trend.

Moving Averages work best in trending markets.  A buy signal occurs when the short and intermediate term averages cross from below to above the longer term average.  Conversely, a sell signal is issued when the short and intermediate term averages cross from above to below the longer term average.  You can use the same signals with two Moving Averages, but most market technicians suggest using longer term averages when trading only two Smoothed Moving Averages in a crossover system.

Another trading approach is to use the current price concept.  If the current price is above the Smoothed Moving Averages, you buy.  Liquidate that position when the current price crosses below either Moving Average.  For a short position, sell when the current price is below the Smoothed Moving Average.  Liquidate that position when the current price rises above the Smoothed Moving Averages.

As you use Smoothed Moving Averages, do not confuse them with Simple Moving Averages.  A Smoothed Moving Average behaves quite differently from a Simple Moving Average.  It is a function of the weighting factor or length of the average.

Literature

Murphy, John J.  Technical Analysis of the Futures Markets.  New York Institute of Finance.  Englewood Cliffs, NJ.  1986.

Wilder, J. Welles.  New Concepts in Technical Trading Systems.  Greensboro, NC:  Trend Research, 1978.

Kaufman, P. J.  Technical Analysis in Commodities.

Kaufman, Perry J.  The New Commodity Trading System and Methods.  1987.

Murphy, John J.  The Visual Investor.  New York, NY:  John Wiley & Sons, Inc.  1996.

Maxwell, J. R.  Commodity Futures Trading with Moving Averages.  1976.

Colby, Robert F., Myers, Thomas A.  The Encyclopedia of Technical Market Indicators.  Dow Jones - Irwin.  Homewood, IL.  1988.

Pring, Martin J.  Technical Analysis Explained.

Lebeau, Charles, and Lucas, David.  Technical Trader’s Guide to Computer Analysis of the Futures Market.  Homewood, IL:  Business One Irwin.  1991.

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