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 too. 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.

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