Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data
Forecasting the movements of stock prices is one of the most challenging problems in financial markets analysis.In this paper, we use machine learning (ML) algorithms for the prediction of future price movements using limit order book data.Two different sets of features are combined and rohrventilator industrie evaluated: handcrafted features based