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Geoff Gannon of Gannon On Investing, invites you to reprint this article in your publication, ezine, or on your website.

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    The Logic Behind Technical Analysis
    Copyright © 2006, Geoff Gannon

    Let me first say that I do not now engage in technical analysis; 
    nor, have I ever engaged in technical analysis. I do not believe 
    doing so would be a productive use of my time.
    
    Having said that, I do not claim technical analysis has no 
    predictive value. In fact, I suspect it does have some predictive 
    value. The Efficient Market Hypothesis is flawed. It is based 
    upon the (unwritten) premise that data determines market prices. 
    As Graham so clearly put it in "Security Analysis":
    
    "...the influence of what we call analytical factors over the 
    market price is both partial and indirect – partial, because 
    it frequently competes with purely speculative factors which 
    influence the price in the opposite direction; and indirect, 
    because it acts through the intermediary of people's sentiments 
    and decisions. In other words, the market is not a weighing 
    machine, on which the value of each issue is recorded by an 
    exact and impersonal mechanism, in accordance with its specific 
    qualities. Rather should we say that the market is a voting 
    machine, whereon countless individuals register choices which 
    are the product partly of reason and partly of emotion."
    
    I've seen a lot of people cite this quote, without bothering to 
    notice what's really being said. Graham had a very broad mind, 
    much broader than say someone like Buffett. That's both a 
    blessing and a curse. At several points in Security Analysis 
    (and to a lesser extent in his other works), Graham can not help 
    but explore an interesting topic more deeply than is strictly 
    necessary for his primary purpose. In this case, Graham could 
    have said what many have since interpreted him as saying: in the 
    short run, stock prices often get out of whack; in the long run, 
    they are governed by the intrinsic value of the underlying 
    business. Of course, Graham didn't say that. Instead he chose to 
    describe the stock market in a way that should have been of great 
    interest to economists as well as investors. 
    
    Data affects prices indirectly. The market is a lot like a fun 
    house mirror. The resulting reflection is caused in part by the 
    original data, but that does not mean the reflection is an 
    accurate representation of the original data. To take this 
    metaphor a step further, the Efficient Market Hypothesis is based 
    on the idea that the original image acts on the mirror to create 
    the reflection. It does not recognize the unpleasant truth that 
    one can interpret the same process in a very different way. One 
    could say it is the mirror that acts on the original image to 
    create the reflection. In fact, that is often how we interpret 
    the process. We say an object is reflected in a mirror. We rarely 
    use the active "an object reflects in a mirror". 
    
    For some reason, when we talk about the market we like to use 
    inappropriate metaphors. We talk about wealth being destroyed 
    when prices fall. Yet, no one talks of wealth being destroyed 
    when the price of some product falls. When the market rises, we 
    talk about buyers, as if there wasn't a seller on the other side 
    of the trade. Above all else, we talk about "the market" not as 
    a mere aggregation of transactions, but as some sort of object 
    all its own. 
    
    The Efficient Market Hypothesis does not recognize the true 
    importance of interpretation. Saying that data (publicly 
    available information) acts on market prices omits the key step. 
    After all, the same data is available to every blackjack player. 
    Casinos just don't like the way a card counter interprets that 
    data.
    
    The Efficient Market Hypothesis is not the only argument against 
    technical analysis. There is also empirical evidence that 
    questions the utility of technical analysis. However, empirical 
    evidence alone is not sufficient to prove technical analysis has 
    no predictive power. If most knuckleball pitchers had limited 
    success, the knuckleball might be an inherently ineffective 
    pitch, or there might be a better way to throw it. The same 
    is true of technical analysis.
    
    The adjective "random" is a very strange word. Although it is 
    rarely the definition given, the most appropriate definition for 
    random would have to be "having no discernible pattern". The word 
    discernible can not be omitted. If it is, we will take too high a 
    view of science and statistics. There's a great introduction to 
    economics written by Carl Menger which begins:
    
    "All things are subject to the law of cause and effect. This 
    great principle knows no exception, and we would search in vain 
    in the realm of experience for an example to the contrary. Human 
    progress has no tendency to cast it in doubt, but rather the 
    effect of confirming it and of always further widening knowledge 
    of the scope of its validity."
    
    All things are subject to the law of cause and effect; therefore, 
    nothing is truly random. A caused event must have a pattern – 
    though that pattern needn't be discernible. Even if one argued 
    there is such a thing as an uncaused event, who would argue that 
    stock price movements are uncaused? We know that they are caused 
    by buying and selling. Stock prices are the effects of purposeful 
    human actions. Several sciences study the causes of purposeful 
    human action; so, it would be hard to argue any human action is 
    uncaused. Furthermore, each of our own internal mental 
    experiences suggests that our purposeful actions have very 
    definite causes. We also know that the actions of some market 
    participants are based in part on price movements. Many investors 
    will admit as much. They may be lying. But, there is plenty of 
    evidence to suggest they aren't. 
    
    If the actions of investors cause price movements, and past price 
    movements are a partial cause of the actions of investors, then 
    past price movements must partially cause future price movements. 
    
    Technical analysis is logically valid. Not only is it possible 
    that some form of technical analysis might have predictive power; 
    I would argue it necessarily follows from the above assumptions 
    that some form of technical analysis must have predictive power. 
    
    So, why don't I use technical analysis? I believe fundamental 
    analysis is a far more powerful tool. In fact, I believe 
    fundamental analysis is so much more powerful that one ought not 
    to spend any time on technical analysis that could instead be 
    spent on fundamental analysis. I also believe there is more than 
    enough fundamental analysis to keep an investor occupied; so, he 
    shouldn't devote any time to technical analysis. Personally, I 
    feel I am much better suited to fundamental analysis than I am 
    to technical analysis. Of course, there is no reason why this 
    argument should hold any weight with you. I also believe there 
    is sufficient empirical evidence to support the idea that 
    fundamental analysis is a far more powerful tool than technical 
    analysis.
    
    Even though I believe there must be some form of technical 
    analysis that does have predictive power, the mental model of 
    investing which I have constructed does not allow for such a form 
    of technical analysis. In other words: logically, there must be 
    an effective form of technical analysis, but practically, I 
    pretend there isn't. 
    
    Why? Because I believe that's the most useful model. One should 
    adopt the most useful model, not the most accurate model. I'm 
    willing to pretend technical analysis does not work, even though 
    I know some form of it must work. 
    
    Really, this isn't all that strange. In science, I'm willing to 
    pretend there are random events, even though I know there must 
    not be random events. In math, I'm willing to pretend zero is a 
    number, even though I know it must not be a number. A model with 
    random events is useful. In most circumstances, a refusal to 
    allow for random events would be harmful rather than helpful. 
    The model with random events is simpler and more workable. The 
    situation is much the same with zero. It isn't a number. To 
    include zero as a number, you would have to put aside the 
    principles of arithmetic. So, we don't do that. In school, you 
    were taught that zero is a number, but that there are certain 
    things you must never do with zero. You accepted that, because
    it was a simple, workable model. 
    
    I propose you do much the same in the case of technical analysis. 
    You should recognize the logical validity of technical analysis, 
    but create a mental model of investing in which technical 
    analysis has no utility whatsoever. 
     
    



    Writer's Resource Box:
    Geoff Gannon is a full time investment writer. He writes 
    a (print) quarterly investment newsletter and a daily value 
    investing blog. He also produces a twice weekly (half hour) 
    value investing podcast at: http://www.gannononinvesting.com




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