Financial Analysis with Deep Learning

摘要

Nowadays, there are massive data in the financial industry that can provide a lot of information to activities of capital supply and economic operation. Artificial Neural Networks (ANN) allow input characteristics of high dimensional, and have the ability to describe the complex nonlinear relationships. Therefore, deep learning methods in the financial sector have great potential. Further, deep learning has extensive application in computer vision and speech recognition, due to which many measure approaches are able to be applied to the financial sector. In this work, we predicted the stock price by using Recurrent Neural Networks (RNN), indicating that data characteristics of the financial sector are suitable for using deep learning method, and the result has certain practical value.