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Article Archive For Keyword: Smoothing
DownloadData Smoothing using a Kalman Filter by Vince Banes
ARTICLE SYNOPSIS...Data Smoothing using a Kalman Filter by Vince Banes ""The analysis of continuous pricing information works well with this form of filtering"" The concept of optimum estimation was introduced by Dr. R.E. Kalman in 1960. The first major application of hi
Double Smoothing
ARTICLE SYNOPSIS...For noisy data this is a useful technique.
Exponentially Smoothing The Daily Number of Declines
ARTICLE SYNOPSIS...Exponentially Smoothing The Daily Number of Declines This article presents an indicator that is the one-day rate of change of a triple exponential smoothing of the daily number of declines, an oscillator similar to TRIX (covered by Jack Hutson in the e
Further Analysis of Triple Exponential Smoothing by ANTHONY WARREN, Ph.D./Technical Analysis staff w
ARTICLE SYNOPSIS...Further Analysis of Triple Exponential Smoothing by ANTHONY WARREN, Ph.D./Technical Analysis staff writer In the July issue of Technical Analysis, J. Hutson presented a method of using triple exponential smoothing (TRIX) as a trading oscillator and supp
Least-Squares Data Smoothing by Harold A. Kreamer
ARTICLE SYNOPSIS...Least-Squares Data Smoothing by Harold A. Kreamer Superimposed on and often indistinguishable from daily market data trends are seemingly random fluctuations, known as noise. An analyst wants to remove as much noise from data as possible without degradi
Moving averages and smoothing filters by John Ehlers
ARTICLE SYNOPSIS...Moving averages and smoothing filters by John Ehlers Moving averages are perhaps the single most widely used technical trading tool. While averages are important tools, let's face it--we don't need computers to calculate them. Traders were using moving a
Playing TRIX: The Triple Exponential Smoothing Oscillator by Joe Luisi
ARTICLE SYNOPSIS...Playing TRIX: The Triple Exponential Smoothing Oscillator by Joe Luisi Here's a look at a tried-and-true favorite, an oscillator that traders can use to determine the trend of the market. With each technical analysis software package comes a host of t
SIDEBAR: TRIPLE EXPONENTIALLY SMOOTHING A DATA SERIES
ARTICLE SYNOPSIS...TRIPLE EXPONENTIALLY SMOOTHING A DATA SERIES One purpose of triple exponentially smoothing a data series is to remove meaningless fluctuations from the data while maintaining the correct appraisal of the direction of the trend. This is accomplished by s
Smoothing Data With Faster Moving Averages by Patrick G. Mulloy
ARTICLE SYNOPSIS...Smoothing Data With Faster Moving Averages By Patrick G. Mulloy Has the lag time of moving averages ever irritated you? Well, there is a way around it: a modified statistical version of exponential smoothing with less lag time than the standard exponent
Smoothing Data With Less Lag by Patrick G. Mulloy
ARTICLE SYNOPSIS...Smoothing Data With Less Lag by Patrick G. Mulloy Last time, Mulloy discussed basic moving averages, introduced a new filter called DEMA1 and demonstrated a method with which to utilize exponential moving averages. Mulloy also explained how this new fil
Smoothing Techniques For More Accurate Signals by Tim Tillson
ARTICLE SYNOPSIS...Smoothing Techniques For More Accurate Signals by Tim Tillson More sophisticated smoothing techniques can be used to determine market trend. Better trend recognition can lead to more accurate trading signals. Here's how. After studying his first stock
Smoothing The Bollinger %b by Sylvain Vervoort
Smoothing The Bollinger %b by Sylvain Vervoort
ARTICLE SYNOPSIS...Smoothing The Bollinger %b by Sylvain Vervoort This variation of the popular Bollinger %b indicator gives clear turning points that will help traders identify entry and exit points while prices are moving between the Bollinger bands. By now, everybody
Smoothing The Ride With Moving Averages by Edward Donie
TRIX: Triple Exponential Smoothing Oscillator by Jack K. Hutson
ARTICLE SYNOPSIS...TRIX: Triple Exponential Smoothing Oscillator by Jack K. Hutson Relating the use of Fourier spectrum analysis to stock or commodity data filter selection has been the subject of a number of articles in Technical Analysis. In particular, Warren uses Four
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