Article Archive For Keyword: Warren PhD

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• Alpha-beta trend following system Version II, tuning for performance by Anthony W. Warren Ph.D.

  ARTICLE SYNOPSIS...Alpha-beta trend following system Version II, tuning for performance by Anthony W. Warren Ph.D. Several years ago, I published the alpha-beta trend following method in Technical Analysis of Stocks & Commodities. Although similar in concept to the c

AUTHOR: Anthony W. Warren, Ph.D.DATE: APR 1989

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• Alpha-beta trend-following revisited by Anthony W. Warren, Ph.D.

  ARTICLE SYNOPSIS...Alpha-beta trend-following revisited by Anthony W. Warren, Ph.D. In the June and December 1985 issues of Technical Analysis of Stocks & Commodities magazine, I presented a new method for trend-following based on the use of alpha-beta filtering for trade

AUTHOR: Anthony W. Warren, Ph.D.DATE: DEC 1986

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• Data Filtering For Trend Channel Analysis by Anthony W. Warren, Ph.D.

  ARTICLE SYNOPSIS...Data Filtering For Trend Channel Analysis by Anthony W. Warren, Ph.D. Trend-following methods typically utilize moving averages of closing price data for buy and sell signals. Often, the signals turn out to be false due to short-term market fluctuations

AUTHOR: Anthony W. Warren, Ph.D.DATE: MAR 1993

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• FOURlER ANALYSIS! IN A NUTSHELL FASTER and BETTER by Anthony Warren Ph.D.

  ARTICLE SYNOPSIS...FOURlER ANALYSIS! IN A NUTSHELL FASTER and BETTER by Anthony Warren Ph.D. For those individuals who are currently using Fourier Spectrum analysis, this article describes some techniques that make the analysis easier to perform and the spectral plots eas

AUTHOR: Anthony W. Warren, Ph.D.DATE: NOV 1983

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• Finite Impulse Response Filter by ANTHONY WARREN, Ph.D. with JACK K. HUTSON

  ARTICLE SYNOPSIS...Finite Impulse Response Filter by ANTHONY WARREN, Ph.D. with JACK K. HUTSON Figure 1 and 2 show a comparison of computer output using Fourier analysis Power and then Amplitude plots. It can be seen that the Power Spectrum plot, which is Amplitude square

AUTHOR: Anthony W. Warren, Ph.D. and Jack HutsonDATE: MAY 1983

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• Forecasting With Maximum Entropy by Jack K. Hutson and Anthony W. Warren, Ph.D.

  ARTICLE SYNOPSIS...Forecasting With Maximum Entropy by Jack K. Hutson and Anthony W. Warren, Ph.D. The most obvious ability that stock or commodity buyers and sellers wish for is foresight. If there was a method or technique that we could use to predict what tomorrow will

AUTHOR: Jack K. Hutson and Anthony WarrenDATE: NOV 1984

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• Mathematician's Viewpoint. by ANTHONY WARREN PH.D.

  ARTICLE SYNOPSIS...Mathematician's Viewpoint. by ANTHONY WARREN PH.D. In this initial article the author will describe his viewpoint on technical analysis and the value of computer based algorithms for enhancing one's chances of success in stock or commodity trading. We w

AUTHOR: Anthony W. Warren, Ph.D.DATE: OCT 1982

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• Maximum Entropy Optimization by Anthony W. Warren, Ph.D. and Jack K. Hutson

  ARTICLE SYNOPSIS...Maximum Entropy Optimization by Anthony W. Warren, Ph.D. and Jack K. Hutson The Maximum Entropy Method (MEM) is a promising new system for short-term Spectrum Analysis and trend forecasting. In this article we discuss the process of obtaining an optimal

AUTHOR: Anthony W. Warren, Ph.D. and Jack HutsonDATE: JUL 1984

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• Momentum Trading Using Fourier/WAMI Optimization by Anthony W. Warren, Ph.D.

  ARTICLE SYNOPSIS...Momentum Trading Using Fourier/Wami Optimization by Anthony W. Warren, Ph.D. Technical analysis and the use of indicators may lend itself to well-defined rules for trading, but most traders develop their methods into more of an art form. Here, a longtim

AUTHOR: Anthony W. Warren, Ph.D.DATE: SEP 1994

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• Optimizing Momentum by Anthony W. Warren, Ph.D.

  ARTICLE SYNOPSIS...Optimizing Momentum by Anthony W. Warren, Ph.D. Longtime readers may remember the body of written work from Stocks & Commodities contributor Anthony W. Warren during the early days of this magazine, in particular Fourier transform and triple exponential

AUTHOR: Anthony W. Warren, Ph.D.DATE: APR 1994

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• Optimizing the Maximum Entropy Method by Anthony W. Warren, Ph.D.

  ARTICLE SYNOPSIS...Optimizing the Maximum Entropy Method by Anthony W. Warren, PhD This article is the second in a series on the Maximum Entropy Method (MEM) and its use in technical analysis for short data length spectrum estimation and short term forecasting. In the fir

AUTHOR: Anthony W. Warren, Ph.D.DATE: MAR 1984