Elliott waves recognition, prediction, neural network

In this article, a short introduction into the field of pattern recognition in time series has been given. Our goal is to find and recognize important patterns which repeatedly appear in the market history. We focus on recognition made by the proposed algorithms based on artificial neural networks. We used a simple Hebb classifier with a proposed modification. Finally, we present comparison results of trading based on both recommendations: using proposed Hebb neural network implementation, and human expert.