Analizing the amount of possible paths through the center of a big town, one might conclude that all paths have the same probability of being traveled. But in a real town a very little set of paths are commonly used, while the big majority of them are rarely. Are we able to apply the same principle to the so-called "random walk" of prices in financial markets? If so, we should be able to recognize some "path patterns" and use them to forecast the market.