Stock and Financial Market Prediction Using Machine Learning

Abstract

The objective of this paper is to study and predict the stock and financial markets using machine learning methods. The feature utilized in the proposed model incorporates Oil rates, Interest rate, Gold and Silver rates, NEWS and online networking channel. This paper helps in the deep understanding of algorithms like ant colony optimization, support vector machine, single level perceptron and multi-level perceptron. At the end, we will compare these algorithms to understand and use the optimal solution.