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JLS

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Alias Born 12/14/2004

JLS

Re: POKERSAM post# 14777

Friday, 05/30/2008 6:44:37 PM

Friday, May 30, 2008 6:44:37 PM

Post# of 31925
Benoît B. Mandelbrot, a renowned mathematician, is the father of fractal geometry.

Here is what he has said regarding whether Elliott waves can predict financial markets:

“But Wave prediction is a very uncertain business. It is an art to which the subjective judgment of the chartists matters more than the objective, replicable verdict of the numbers. The record of this, as of most technical analysis, is at best mixed.”

Technical analyst David Aronson, author of Evidence-Based Technical Analysis: Applying the Scientific Method and Statistical Inference to Trading Signals, has written:

“The Elliott Wave Principle, as popularly practiced, is not a legitimate theory, but a story, and a compelling one that is eloquently told by Robert Prechter. The account is especially persuasive because EWP has the seemingly remarkable ability to fit any segment of market history down to its most minute fluctuations. I contend this is made possible by the method's loosely defined rules and the ability to postulate a large number of nested waves of varying magnitude. This gives the Elliott analyst the same freedom and flexibility that allowed pre-Copernican astronomers to explain all observed planet movements even though their underlying theory of an Earth-centered universe was wrong.

Finance professor Roy Batchelor and researcher Richard Ramyar, a former Director of the United Kingdom Society of Technical Analysts and Head of UK Asset Management Research at Reuters Lipper, studied whether Fibonacci ratios appear non-randomly in the stock market, as Elliott's model predicts. The researchers said the:

"idea that prices retrace to a Fibonacci ratio or round fraction of the previous trend clearly lacks any scientific rationale." They also said "there is no significant difference between the frequencies with which price and time ratios occur in cycles in the Dow Jones Industrial Average, and frequencies which we would expect to occur at random in such a time series."

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