I wrote up a brief schematic outline of how SVMs find patterns in training data and then extrapolate it efficiently to classify new data.























Here's more detail on the second frame:









Later I will give some suggestions about how SVMs can be applied, especially to trading systems. This is near the bleeding edge of forecasting algorithms, and in studies performance has been even better than neural nets.