Learn Algorithmic Trading

Signal aggregators

Often, a lot of algorithmic trading systems combine a lot of different kinds of signals in order to gain a bigger edge than individual signals provide. The approach is to essentially combine different signals that have different predictive abilities/advantages under different market conditions. There are many different ways to combine individual signals. You can use classical statistical learning methods to generate linear and non-linear combinations to output classification or regression output values that represent a combination of individual signals. Machine learning is not the focus of this book, so we avoid diving too deep into this topic, but we will revisit it briefly in a later section.