Machine learning techniques for price change forecast using the limit order book data

We study the performance of a multi-class support vector machine (SVM) approach proposed by Kercheval and Zhang (2014) in forecasting mid-price changes using information provided by the limit order book. Various Machine Learning algorithms are tested using data on a typical trading day.