http://wilmott.com/messageview.cfm?catid=3&threadid=58450
For those interested in some quant views on randomness, I thought this thread was quite good. While the main thread is dedicated to debating on Taleb's views, if you sift through all the pedantic pontificating, you will find some well drawn conclusions that I have advocated on the boards for some time.
Namely, that markets are not random, they are worse than random (unless you are privileged to inside information and order flow, which is why trading desks always seem to be so successful). Nor is it possible to predict markets. It's similar to predicting the weather; yes, there are millions of deterministic forces that cause a deterministic outcome from a physical perspective, but the complexity and determination of those forces renders predictability mostly useless.
Many argue that the markets are based on cause and effect human behavior. This is true, unfortunately there are so many complex interactions going on that to one who looks purely at charts, for all intents and purposes, while the activity may be deterministic, the complexity renders it chaotic and non-deterministic for chart readers.
Based on this view, the majority of erudite traders on that forum rely on statistical betting methods over chart reading (i.e. approaching markets as if they were a random, not deterministic phenomenon).
Final note: over the long run, being long is in your favor. But, this argument is simply intended towards short term trading chart predictability. If you plot a distribution, although the results are not completely gaussian random (ignoring the outliers), the bell portion shows a slight positive skew, which is why over the long run the bias will be up (as the slightly positive edge will compound upwards over the long run).