Smart Stock Exchange Market: A Secure Predictive Decentralized Model
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Date
2019
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Publisher
IEEE
Abstract
Stock exchanges around the world are exploring the best possible solution that can improve trading efficiency, lower the risks and tighten secu- rity levels. The working and functioning of a stock exchange involves very hectic and cumbersome pro- cedures which are time consuming, cost inefficient and can be prone to numerous risks. Machine learning and Blockchain are most popular upcoming technologies. In this paper we present a novel secure and de- centralized intelligent stock market prediction model. We present a blockchain based solution for stock exchange model that uses machine learning accessible smart contracts. The machine learning model makes a prediction on the future of the stock market providing an intelligent solution for secure stock market.
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Keywords
EEE, Stock markets, Logic gates, Peer-to-peer computing, Predictive models, Machine Learning